pimcore/customer-management-framework-bundle
Activity
- Latest release
- 1y ago
- Total releases
- 165
- Cadence
- ~15 days
- Last 12 months
- 0
Reach
- Stars
- —
Details
- License
- unknown
- First release
- Jul 14, 2017
| Version | Released | |
|---|---|---|
v4.2.4
patch
deprecated
|
v4.2.4
patch
deprecated
Dependencies (28)
+ 20 more
Changelog
Compare changes
|
|
v4.2.3
patch
| ||
v4.2.2
patch
| ||
v3.4.6
patch
3 CVEs
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21667
GHSA-g273-wppx-82w4
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access GDPR extracts
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the GDPR data extraction feature and query over the information returned, leading to customer data exposure. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed:
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21666
GHSA-c38c-c8mh-vq68
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access customers duplicates list
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the list of potential duplicate users and see their data. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed :
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev |
v3.4.6
patch
Dependencies (26)
+ 18 more
Changelog
Compare changes
|
|
v4.0.8
patch
1 CVE
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev |
v4.0.8
patch
Dependencies (29)
+ 21 more
Changelog
Compare changes
|
|
v4.2.1
patch
| ||
v4.2.0
minor
1 CVE
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev | ||
v4.1.2
patch
1 CVE
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev |
v4.1.2
patch
Dependencies (28)
+ 20 more
Changelog
Compare changes
|
|
v4.1.1
patch
1 CVE
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev |
v4.1.1
patch
Dependencies (29)
+ 21 more
Changelog
Compare changes
|
|
v4.1.0
minor
1 CVE
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev |
v4.1.0
minor
Dependencies (28)
+ 20 more
Changelog
Compare changes
|
|
v4.0.7
patch
1 CVE
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev |
v4.0.7
patch
Dependencies (29)
+ 21 more
Changelog
Compare changes
|
|
v4.0.6
patch
1 CVE
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev |
v4.0.6
patch
Dependencies (28)
+ 20 more
Changelog
Compare changes
|
|
v3.4.5
patch
3 CVEs
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21667
GHSA-g273-wppx-82w4
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access GDPR extracts
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the GDPR data extraction feature and query over the information returned, leading to customer data exposure. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed:
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21666
GHSA-c38c-c8mh-vq68
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access customers duplicates list
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the list of potential duplicate users and see their data. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed :
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev | ||
v4.0.5
patch
3 CVEs
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21667
GHSA-g273-wppx-82w4
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access GDPR extracts
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the GDPR data extraction feature and query over the information returned, leading to customer data exposure. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed:
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21666
GHSA-c38c-c8mh-vq68
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access customers duplicates list
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the list of potential duplicate users and see their data. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed :
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev |
v4.0.5
patch
Dependencies (28)
+ 20 more
Changelog
Compare changes
|
|
v3.4.4
patch
3 CVEs
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21667
GHSA-g273-wppx-82w4
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access GDPR extracts
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the GDPR data extraction feature and query over the information returned, leading to customer data exposure. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed:
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21666
GHSA-c38c-c8mh-vq68
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access customers duplicates list
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the list of potential duplicate users and see their data. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed :
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev | ||
v4.0.4
patch
3 CVEs
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21667
GHSA-g273-wppx-82w4
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access GDPR extracts
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the GDPR data extraction feature and query over the information returned, leading to customer data exposure. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed:
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21666
GHSA-c38c-c8mh-vq68
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access customers duplicates list
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the list of potential duplicate users and see their data. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed :
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev | ||
v3.4.3
patch
3 CVEs
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21667
GHSA-g273-wppx-82w4
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access GDPR extracts
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the GDPR data extraction feature and query over the information returned, leading to customer data exposure. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed:
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21666
GHSA-c38c-c8mh-vq68
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access customers duplicates list
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the list of potential duplicate users and see their data. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed :
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev | ||
v4.0.3
patch
3 CVEs
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21667
GHSA-g273-wppx-82w4
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access GDPR extracts
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the GDPR data extraction feature and query over the information returned, leading to customer data exposure. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed:
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21666
GHSA-c38c-c8mh-vq68
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access customers duplicates list
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the list of potential duplicate users and see their data. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed :
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev | ||
v4.0.2
patch
3 CVEs
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21667
GHSA-g273-wppx-82w4
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access GDPR extracts
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the GDPR data extraction feature and query over the information returned, leading to customer data exposure. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed:
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21666
GHSA-c38c-c8mh-vq68
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access customers duplicates list
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the list of potential duplicate users and see their data. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed :
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev | ||
v3.4.2
patch
3 CVEs
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21667
GHSA-g273-wppx-82w4
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access GDPR extracts
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the GDPR data extraction feature and query over the information returned, leading to customer data exposure. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed:
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21666
GHSA-c38c-c8mh-vq68
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access customers duplicates list
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the list of potential duplicate users and see their data. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed :
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev | ||
v3.4.1
patch
4 CVEs
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21667
GHSA-g273-wppx-82w4
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access GDPR extracts
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the GDPR data extraction feature and query over the information returned, leading to customer data exposure. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed:
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21666
GHSA-c38c-c8mh-vq68
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access customers duplicates list
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the list of potential duplicate users and see their data. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed :
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-4145
GHSA-735f-w79p-282x
Aug 03, 2023
pimcore/customer-management-framework-bundle Cross-site Scripting vulnerability in Segment name
6.5
/ 10
Medium
Network
Low
Low
Required
Changed
Low
Low
Low
ImpactAs HTML injection works in email an attacker can trick a victim to click on such hyperlinks to redirect him to any malicious site and also can host a XSS page. All this will surely cause some damage to the victim. This could lead to users being tricked into giving logins away to malicious attackers. PatchesUpdate to version 3.4.2 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch manually. Referenceshttps://huntr.dev/bounties/ce852777-2994-40b4-bb4e-c4d10023eeb0/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 130 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
Fixed in
3.4.2
References
Updated Sep 10, 2026 · Source: OSV.dev |
v3.4.1
patch
Dependencies (26)
+ 18 more
Changelog
Compare changes
|
|
v4.0.1
patch
3 CVEs
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21667
GHSA-g273-wppx-82w4
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access GDPR extracts
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the GDPR data extraction feature and query over the information returned, leading to customer data exposure. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed:
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21666
GHSA-c38c-c8mh-vq68
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access customers duplicates list
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the list of potential duplicate users and see their data. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed :
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev | ||
v4.0.0
major
3 CVEs
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21667
GHSA-g273-wppx-82w4
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access GDPR extracts
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the GDPR data extraction feature and query over the information returned, leading to customer data exposure. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed:
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21666
GHSA-c38c-c8mh-vq68
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access customers duplicates list
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the list of potential duplicate users and see their data. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed :
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev | ||
v3.4.0
minor
5 CVEs
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21667
GHSA-g273-wppx-82w4
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access GDPR extracts
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the GDPR data extraction feature and query over the information returned, leading to customer data exposure. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed:
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21666
GHSA-c38c-c8mh-vq68
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access customers duplicates list
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the list of potential duplicate users and see their data. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed :
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-4145
GHSA-735f-w79p-282x
Aug 03, 2023
pimcore/customer-management-framework-bundle Cross-site Scripting vulnerability in Segment name
6.5
/ 10
Medium
Network
Low
Low
Required
Changed
Low
Low
Low
ImpactAs HTML injection works in email an attacker can trick a victim to click on such hyperlinks to redirect him to any malicious site and also can host a XSS page. All this will surely cause some damage to the victim. This could lead to users being tricked into giving logins away to malicious attackers. PatchesUpdate to version 3.4.2 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch manually. Referenceshttps://huntr.dev/bounties/ce852777-2994-40b4-bb4e-c4d10023eeb0/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 130 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
Fixed in
3.4.2
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-3574
GHSA-vx35-f379-4q49
Jul 10, 2023
Pimcore Customer Management Framework vulnerable to Improper Authorization in Rules Controller
6.5
/ 10
Medium
Network
Low
None
None
Unchanged
Low
Low
None
ImpactThe product performs authorization checks incorrectly when an unauthorized actor tries to access a resource or perform an actions. The attacker can view and freely perform actions to add, modify, or delete rules. PatchesUpdate to version 3.4.1 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch manually. Referenceshttps://huntr.dev/bounties/1dcb4f01-e668-4aa3-a6a3-838532e500c6/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 129 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
Fixed in
3.4.1
References
Updated Sep 10, 2026 · Source: OSV.dev | ||
v3.3.10
patch
5 CVEs
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21667
GHSA-g273-wppx-82w4
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access GDPR extracts
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the GDPR data extraction feature and query over the information returned, leading to customer data exposure. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed:
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21666
GHSA-c38c-c8mh-vq68
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access customers duplicates list
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the list of potential duplicate users and see their data. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed :
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-4145
GHSA-735f-w79p-282x
Aug 03, 2023
pimcore/customer-management-framework-bundle Cross-site Scripting vulnerability in Segment name
6.5
/ 10
Medium
Network
Low
Low
Required
Changed
Low
Low
Low
ImpactAs HTML injection works in email an attacker can trick a victim to click on such hyperlinks to redirect him to any malicious site and also can host a XSS page. All this will surely cause some damage to the victim. This could lead to users being tricked into giving logins away to malicious attackers. PatchesUpdate to version 3.4.2 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch manually. Referenceshttps://huntr.dev/bounties/ce852777-2994-40b4-bb4e-c4d10023eeb0/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 130 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
Fixed in
3.4.2
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-3574
GHSA-vx35-f379-4q49
Jul 10, 2023
Pimcore Customer Management Framework vulnerable to Improper Authorization in Rules Controller
6.5
/ 10
Medium
Network
Low
None
None
Unchanged
Low
Low
None
ImpactThe product performs authorization checks incorrectly when an unauthorized actor tries to access a resource or perform an actions. The attacker can view and freely perform actions to add, modify, or delete rules. PatchesUpdate to version 3.4.1 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch manually. Referenceshttps://huntr.dev/bounties/1dcb4f01-e668-4aa3-a6a3-838532e500c6/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 129 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
Fixed in
3.4.1
References
Updated Sep 10, 2026 · Source: OSV.dev | ||
v3.3.9
patch
7 CVEs
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21667
GHSA-g273-wppx-82w4
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access GDPR extracts
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the GDPR data extraction feature and query over the information returned, leading to customer data exposure. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed:
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21666
GHSA-c38c-c8mh-vq68
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access customers duplicates list
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the list of potential duplicate users and see their data. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed :
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-4145
GHSA-735f-w79p-282x
Aug 03, 2023
pimcore/customer-management-framework-bundle Cross-site Scripting vulnerability in Segment name
6.5
/ 10
Medium
Network
Low
Low
Required
Changed
Low
Low
Low
ImpactAs HTML injection works in email an attacker can trick a victim to click on such hyperlinks to redirect him to any malicious site and also can host a XSS page. All this will surely cause some damage to the victim. This could lead to users being tricked into giving logins away to malicious attackers. PatchesUpdate to version 3.4.2 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch manually. Referenceshttps://huntr.dev/bounties/ce852777-2994-40b4-bb4e-c4d10023eeb0/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 130 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
Fixed in
3.4.2
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-3574
GHSA-vx35-f379-4q49
Jul 10, 2023
Pimcore Customer Management Framework vulnerable to Improper Authorization in Rules Controller
6.5
/ 10
Medium
Network
Low
None
None
Unchanged
Low
Low
None
ImpactThe product performs authorization checks incorrectly when an unauthorized actor tries to access a resource or perform an actions. The attacker can view and freely perform actions to add, modify, or delete rules. PatchesUpdate to version 3.4.1 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch manually. Referenceshttps://huntr.dev/bounties/1dcb4f01-e668-4aa3-a6a3-838532e500c6/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 129 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
Fixed in
3.4.1
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2881
GHSA-j65r-g7q2-f8v3
May 25, 2023
Pimcore customers' list user password hash is disclosed
6.7
/ 10
Medium
Network
Low
High
None
Unchanged
High
Low
High
ImpactThe customer view exposes the hashed password along with other deails. An attacker is then able to enum password of a particular id, likewise we can replace id with other user , for example 1015, password hash can be disclosed which can be further cracked with hashcat PatchesUpdate to version 3.3.10 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/d1d58c10313f080737dc1e71fab3beb12488a1e6.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/d1d58c10313f080737dc1e71fab3beb12488a1e6.patch manually. Referenceshttps://huntr.dev/bounties/db6c32f4-742e-4262-8fd5-cefd0f133416/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 127 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
Fixed in
3.3.10
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2756
GHSA-25fx-3c2q-cq46
May 17, 2023
pimcore/customer-management-framework-bundle has SQL Injection vulnerability in Segment Assignment query
7.2
/ 10
High
Network
Low
High
None
Unchanged
High
High
High
ImpactAn administrator user can use the inheritable segments feature to execute his own blind SQL queries. A user with administrator privileges can run any SQL query on database. This can be used to retrieve sensitive data, change database information or any other malicious activity against the database. PatchesUpdate to version 3.3.10 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/76df151737b7964ce5169fdf9e27a0ad801757fe.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/76df151737b7964ce5169fdf9e27a0ad801757fe.patch manually. Referenceshttps://huntr.dev/bounties/cf398528-819f-456e-88e7-c06d268d3f44/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 127 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
Fixed in
3.3.10
References
Updated Sep 10, 2026 · Source: OSV.dev | ||
v4.0.0-RC2
pre
3 CVEs
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21667
GHSA-g273-wppx-82w4
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access GDPR extracts
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the GDPR data extraction feature and query over the information returned, leading to customer data exposure. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed:
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21666
GHSA-c38c-c8mh-vq68
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access customers duplicates list
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the list of potential duplicate users and see their data. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed :
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev | ||
v4.0.0-RC1
pre
3 CVEs
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21667
GHSA-g273-wppx-82w4
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access GDPR extracts
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the GDPR data extraction feature and query over the information returned, leading to customer data exposure. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed:
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21666
GHSA-c38c-c8mh-vq68
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access customers duplicates list
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the list of potential duplicate users and see their data. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed :
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev | ||
v4.0.0-BETA2
pre
3 CVEs
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21667
GHSA-g273-wppx-82w4
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access GDPR extracts
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the GDPR data extraction feature and query over the information returned, leading to customer data exposure. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed:
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21666
GHSA-c38c-c8mh-vq68
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access customers duplicates list
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the list of potential duplicate users and see their data. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed :
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev | ||
v4.0.0-BETA1
pre
3 CVEs
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21667
GHSA-g273-wppx-82w4
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access GDPR extracts
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the GDPR data extraction feature and query over the information returned, leading to customer data exposure. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed:
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21666
GHSA-c38c-c8mh-vq68
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access customers duplicates list
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the list of potential duplicate users and see their data. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed :
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev |
v4.0.0-BETA1
pre
Dependencies (27)
+ 19 more
Changelog
Compare changes
|
|
v3.3.8
patch
9 CVEs
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21667
GHSA-g273-wppx-82w4
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access GDPR extracts
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the GDPR data extraction feature and query over the information returned, leading to customer data exposure. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed:
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21666
GHSA-c38c-c8mh-vq68
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access customers duplicates list
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the list of potential duplicate users and see their data. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed :
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-4145
GHSA-735f-w79p-282x
Aug 03, 2023
pimcore/customer-management-framework-bundle Cross-site Scripting vulnerability in Segment name
6.5
/ 10
Medium
Network
Low
Low
Required
Changed
Low
Low
Low
ImpactAs HTML injection works in email an attacker can trick a victim to click on such hyperlinks to redirect him to any malicious site and also can host a XSS page. All this will surely cause some damage to the victim. This could lead to users being tricked into giving logins away to malicious attackers. PatchesUpdate to version 3.4.2 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch manually. Referenceshttps://huntr.dev/bounties/ce852777-2994-40b4-bb4e-c4d10023eeb0/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 130 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
Fixed in
3.4.2
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-3574
GHSA-vx35-f379-4q49
Jul 10, 2023
Pimcore Customer Management Framework vulnerable to Improper Authorization in Rules Controller
6.5
/ 10
Medium
Network
Low
None
None
Unchanged
Low
Low
None
ImpactThe product performs authorization checks incorrectly when an unauthorized actor tries to access a resource or perform an actions. The attacker can view and freely perform actions to add, modify, or delete rules. PatchesUpdate to version 3.4.1 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch manually. Referenceshttps://huntr.dev/bounties/1dcb4f01-e668-4aa3-a6a3-838532e500c6/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 129 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
Fixed in
3.4.1
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2881
GHSA-j65r-g7q2-f8v3
May 25, 2023
Pimcore customers' list user password hash is disclosed
6.7
/ 10
Medium
Network
Low
High
None
Unchanged
High
Low
High
ImpactThe customer view exposes the hashed password along with other deails. An attacker is then able to enum password of a particular id, likewise we can replace id with other user , for example 1015, password hash can be disclosed which can be further cracked with hashcat PatchesUpdate to version 3.3.10 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/d1d58c10313f080737dc1e71fab3beb12488a1e6.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/d1d58c10313f080737dc1e71fab3beb12488a1e6.patch manually. Referenceshttps://huntr.dev/bounties/db6c32f4-742e-4262-8fd5-cefd0f133416/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 127 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
Fixed in
3.3.10
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2756
GHSA-25fx-3c2q-cq46
May 17, 2023
pimcore/customer-management-framework-bundle has SQL Injection vulnerability in Segment Assignment query
7.2
/ 10
High
Network
Low
High
None
Unchanged
High
High
High
ImpactAn administrator user can use the inheritable segments feature to execute his own blind SQL queries. A user with administrator privileges can run any SQL query on database. This can be used to retrieve sensitive data, change database information or any other malicious activity against the database. PatchesUpdate to version 3.3.10 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/76df151737b7964ce5169fdf9e27a0ad801757fe.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/76df151737b7964ce5169fdf9e27a0ad801757fe.patch manually. Referenceshttps://huntr.dev/bounties/cf398528-819f-456e-88e7-c06d268d3f44/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 127 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
Fixed in
3.3.10
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2629
GHSA-mq3x-qgwx-3rfw
May 11, 2023
Embedding untrusted input inside CSV files leads to Formula Injection/CSV Injection
7.8
/ 10
High
Local
Low
None
Required
Unchanged
High
High
High
ImpactThe pimcore application is vulnerable to Formula Injection/CSV Injection via the Firstname, Lastname, Street, Zip & City input fields. These vulnerabilities allow unauthenticated attackers to execute arbitrary code via a crafted excel file. Successful exploitation can lead to impacts such as client-sided command injection, code execution, or remote ex-filtration of contained confidential data. PatchesUpdate to version 3.3.9 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/4e0105c3a78d20686a0c010faef27d2297b98803.patch WorkaroundsApply patch https://github.com/pimcore/customer-data-framework/commit/4e0105c3a78d20686a0c010faef27d2297b98803.patch manually. Referenceshttps://huntr.dev/bounties/821ff465-4754-42d1-9376-813c17f16a01/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 126 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
Fixed in
3.3.9
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-32075
GHSA-x99j-r8vv-gwwj
May 11, 2023
Pimcore vulnerable to Business Logic Errors via Customer automation rules
4.3
/ 10
Medium
Network
Low
Low
None
Unchanged
None
Low
None
ImpactBusiness Logic Errors in the Conditions tab since the counter can be a negative number. This vulnerability is capable of the unlogic in the counter value in the Conditions tab. PatchesUpdate to version 3.3.9 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/e3f333391582d9309115e6b94e875367d0ea7163.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/e3f333391582d9309115e6b94e875367d0ea7163.patch manually. Referenceshttps://huntr.dev/bounties/cecd7800-a996-4f3a-8689-e1c2a1e0248a/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 126 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
Fixed in
3.3.9
References
Updated Sep 10, 2026 · Source: OSV.dev | ||
v3.3.7
patch
9 CVEs
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21667
GHSA-g273-wppx-82w4
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access GDPR extracts
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the GDPR data extraction feature and query over the information returned, leading to customer data exposure. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed:
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21666
GHSA-c38c-c8mh-vq68
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access customers duplicates list
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the list of potential duplicate users and see their data. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed :
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-4145
GHSA-735f-w79p-282x
Aug 03, 2023
pimcore/customer-management-framework-bundle Cross-site Scripting vulnerability in Segment name
6.5
/ 10
Medium
Network
Low
Low
Required
Changed
Low
Low
Low
ImpactAs HTML injection works in email an attacker can trick a victim to click on such hyperlinks to redirect him to any malicious site and also can host a XSS page. All this will surely cause some damage to the victim. This could lead to users being tricked into giving logins away to malicious attackers. PatchesUpdate to version 3.4.2 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch manually. Referenceshttps://huntr.dev/bounties/ce852777-2994-40b4-bb4e-c4d10023eeb0/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 130 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
Fixed in
3.4.2
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-3574
GHSA-vx35-f379-4q49
Jul 10, 2023
Pimcore Customer Management Framework vulnerable to Improper Authorization in Rules Controller
6.5
/ 10
Medium
Network
Low
None
None
Unchanged
Low
Low
None
ImpactThe product performs authorization checks incorrectly when an unauthorized actor tries to access a resource or perform an actions. The attacker can view and freely perform actions to add, modify, or delete rules. PatchesUpdate to version 3.4.1 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch manually. Referenceshttps://huntr.dev/bounties/1dcb4f01-e668-4aa3-a6a3-838532e500c6/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 129 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
Fixed in
3.4.1
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2881
GHSA-j65r-g7q2-f8v3
May 25, 2023
Pimcore customers' list user password hash is disclosed
6.7
/ 10
Medium
Network
Low
High
None
Unchanged
High
Low
High
ImpactThe customer view exposes the hashed password along with other deails. An attacker is then able to enum password of a particular id, likewise we can replace id with other user , for example 1015, password hash can be disclosed which can be further cracked with hashcat PatchesUpdate to version 3.3.10 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/d1d58c10313f080737dc1e71fab3beb12488a1e6.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/d1d58c10313f080737dc1e71fab3beb12488a1e6.patch manually. Referenceshttps://huntr.dev/bounties/db6c32f4-742e-4262-8fd5-cefd0f133416/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 127 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
Fixed in
3.3.10
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2756
GHSA-25fx-3c2q-cq46
May 17, 2023
pimcore/customer-management-framework-bundle has SQL Injection vulnerability in Segment Assignment query
7.2
/ 10
High
Network
Low
High
None
Unchanged
High
High
High
ImpactAn administrator user can use the inheritable segments feature to execute his own blind SQL queries. A user with administrator privileges can run any SQL query on database. This can be used to retrieve sensitive data, change database information or any other malicious activity against the database. PatchesUpdate to version 3.3.10 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/76df151737b7964ce5169fdf9e27a0ad801757fe.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/76df151737b7964ce5169fdf9e27a0ad801757fe.patch manually. Referenceshttps://huntr.dev/bounties/cf398528-819f-456e-88e7-c06d268d3f44/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 127 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
Fixed in
3.3.10
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2629
GHSA-mq3x-qgwx-3rfw
May 11, 2023
Embedding untrusted input inside CSV files leads to Formula Injection/CSV Injection
7.8
/ 10
High
Local
Low
None
Required
Unchanged
High
High
High
ImpactThe pimcore application is vulnerable to Formula Injection/CSV Injection via the Firstname, Lastname, Street, Zip & City input fields. These vulnerabilities allow unauthenticated attackers to execute arbitrary code via a crafted excel file. Successful exploitation can lead to impacts such as client-sided command injection, code execution, or remote ex-filtration of contained confidential data. PatchesUpdate to version 3.3.9 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/4e0105c3a78d20686a0c010faef27d2297b98803.patch WorkaroundsApply patch https://github.com/pimcore/customer-data-framework/commit/4e0105c3a78d20686a0c010faef27d2297b98803.patch manually. Referenceshttps://huntr.dev/bounties/821ff465-4754-42d1-9376-813c17f16a01/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 126 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
Fixed in
3.3.9
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-32075
GHSA-x99j-r8vv-gwwj
May 11, 2023
Pimcore vulnerable to Business Logic Errors via Customer automation rules
4.3
/ 10
Medium
Network
Low
Low
None
Unchanged
None
Low
None
ImpactBusiness Logic Errors in the Conditions tab since the counter can be a negative number. This vulnerability is capable of the unlogic in the counter value in the Conditions tab. PatchesUpdate to version 3.3.9 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/e3f333391582d9309115e6b94e875367d0ea7163.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/e3f333391582d9309115e6b94e875367d0ea7163.patch manually. Referenceshttps://huntr.dev/bounties/cecd7800-a996-4f3a-8689-e1c2a1e0248a/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 126 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
Fixed in
3.3.9
References
Updated Sep 10, 2026 · Source: OSV.dev | ||
v3.3.6
patch
9 CVEs
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21667
GHSA-g273-wppx-82w4
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access GDPR extracts
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the GDPR data extraction feature and query over the information returned, leading to customer data exposure. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed:
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21666
GHSA-c38c-c8mh-vq68
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access customers duplicates list
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the list of potential duplicate users and see their data. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed :
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-4145
GHSA-735f-w79p-282x
Aug 03, 2023
pimcore/customer-management-framework-bundle Cross-site Scripting vulnerability in Segment name
6.5
/ 10
Medium
Network
Low
Low
Required
Changed
Low
Low
Low
ImpactAs HTML injection works in email an attacker can trick a victim to click on such hyperlinks to redirect him to any malicious site and also can host a XSS page. All this will surely cause some damage to the victim. This could lead to users being tricked into giving logins away to malicious attackers. PatchesUpdate to version 3.4.2 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch manually. Referenceshttps://huntr.dev/bounties/ce852777-2994-40b4-bb4e-c4d10023eeb0/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 130 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
Fixed in
3.4.2
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-3574
GHSA-vx35-f379-4q49
Jul 10, 2023
Pimcore Customer Management Framework vulnerable to Improper Authorization in Rules Controller
6.5
/ 10
Medium
Network
Low
None
None
Unchanged
Low
Low
None
ImpactThe product performs authorization checks incorrectly when an unauthorized actor tries to access a resource or perform an actions. The attacker can view and freely perform actions to add, modify, or delete rules. PatchesUpdate to version 3.4.1 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch manually. Referenceshttps://huntr.dev/bounties/1dcb4f01-e668-4aa3-a6a3-838532e500c6/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 129 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
Fixed in
3.4.1
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2881
GHSA-j65r-g7q2-f8v3
May 25, 2023
Pimcore customers' list user password hash is disclosed
6.7
/ 10
Medium
Network
Low
High
None
Unchanged
High
Low
High
ImpactThe customer view exposes the hashed password along with other deails. An attacker is then able to enum password of a particular id, likewise we can replace id with other user , for example 1015, password hash can be disclosed which can be further cracked with hashcat PatchesUpdate to version 3.3.10 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/d1d58c10313f080737dc1e71fab3beb12488a1e6.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/d1d58c10313f080737dc1e71fab3beb12488a1e6.patch manually. Referenceshttps://huntr.dev/bounties/db6c32f4-742e-4262-8fd5-cefd0f133416/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 127 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
Fixed in
3.3.10
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2756
GHSA-25fx-3c2q-cq46
May 17, 2023
pimcore/customer-management-framework-bundle has SQL Injection vulnerability in Segment Assignment query
7.2
/ 10
High
Network
Low
High
None
Unchanged
High
High
High
ImpactAn administrator user can use the inheritable segments feature to execute his own blind SQL queries. A user with administrator privileges can run any SQL query on database. This can be used to retrieve sensitive data, change database information or any other malicious activity against the database. PatchesUpdate to version 3.3.10 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/76df151737b7964ce5169fdf9e27a0ad801757fe.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/76df151737b7964ce5169fdf9e27a0ad801757fe.patch manually. Referenceshttps://huntr.dev/bounties/cf398528-819f-456e-88e7-c06d268d3f44/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 127 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
Fixed in
3.3.10
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2629
GHSA-mq3x-qgwx-3rfw
May 11, 2023
Embedding untrusted input inside CSV files leads to Formula Injection/CSV Injection
7.8
/ 10
High
Local
Low
None
Required
Unchanged
High
High
High
ImpactThe pimcore application is vulnerable to Formula Injection/CSV Injection via the Firstname, Lastname, Street, Zip & City input fields. These vulnerabilities allow unauthenticated attackers to execute arbitrary code via a crafted excel file. Successful exploitation can lead to impacts such as client-sided command injection, code execution, or remote ex-filtration of contained confidential data. PatchesUpdate to version 3.3.9 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/4e0105c3a78d20686a0c010faef27d2297b98803.patch WorkaroundsApply patch https://github.com/pimcore/customer-data-framework/commit/4e0105c3a78d20686a0c010faef27d2297b98803.patch manually. Referenceshttps://huntr.dev/bounties/821ff465-4754-42d1-9376-813c17f16a01/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 126 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
Fixed in
3.3.9
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-32075
GHSA-x99j-r8vv-gwwj
May 11, 2023
Pimcore vulnerable to Business Logic Errors via Customer automation rules
4.3
/ 10
Medium
Network
Low
Low
None
Unchanged
None
Low
None
ImpactBusiness Logic Errors in the Conditions tab since the counter can be a negative number. This vulnerability is capable of the unlogic in the counter value in the Conditions tab. PatchesUpdate to version 3.3.9 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/e3f333391582d9309115e6b94e875367d0ea7163.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/e3f333391582d9309115e6b94e875367d0ea7163.patch manually. Referenceshttps://huntr.dev/bounties/cecd7800-a996-4f3a-8689-e1c2a1e0248a/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 126 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
Fixed in
3.3.9
References
Updated Sep 10, 2026 · Source: OSV.dev | ||
v3.3.5
patch
9 CVEs
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21667
GHSA-g273-wppx-82w4
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access GDPR extracts
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the GDPR data extraction feature and query over the information returned, leading to customer data exposure. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed:
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21666
GHSA-c38c-c8mh-vq68
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access customers duplicates list
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the list of potential duplicate users and see their data. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed :
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-4145
GHSA-735f-w79p-282x
Aug 03, 2023
pimcore/customer-management-framework-bundle Cross-site Scripting vulnerability in Segment name
6.5
/ 10
Medium
Network
Low
Low
Required
Changed
Low
Low
Low
ImpactAs HTML injection works in email an attacker can trick a victim to click on such hyperlinks to redirect him to any malicious site and also can host a XSS page. All this will surely cause some damage to the victim. This could lead to users being tricked into giving logins away to malicious attackers. PatchesUpdate to version 3.4.2 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch manually. Referenceshttps://huntr.dev/bounties/ce852777-2994-40b4-bb4e-c4d10023eeb0/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 130 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
Fixed in
3.4.2
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-3574
GHSA-vx35-f379-4q49
Jul 10, 2023
Pimcore Customer Management Framework vulnerable to Improper Authorization in Rules Controller
6.5
/ 10
Medium
Network
Low
None
None
Unchanged
Low
Low
None
ImpactThe product performs authorization checks incorrectly when an unauthorized actor tries to access a resource or perform an actions. The attacker can view and freely perform actions to add, modify, or delete rules. PatchesUpdate to version 3.4.1 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch manually. Referenceshttps://huntr.dev/bounties/1dcb4f01-e668-4aa3-a6a3-838532e500c6/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 129 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
Fixed in
3.4.1
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2881
GHSA-j65r-g7q2-f8v3
May 25, 2023
Pimcore customers' list user password hash is disclosed
6.7
/ 10
Medium
Network
Low
High
None
Unchanged
High
Low
High
ImpactThe customer view exposes the hashed password along with other deails. An attacker is then able to enum password of a particular id, likewise we can replace id with other user , for example 1015, password hash can be disclosed which can be further cracked with hashcat PatchesUpdate to version 3.3.10 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/d1d58c10313f080737dc1e71fab3beb12488a1e6.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/d1d58c10313f080737dc1e71fab3beb12488a1e6.patch manually. Referenceshttps://huntr.dev/bounties/db6c32f4-742e-4262-8fd5-cefd0f133416/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 127 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
Fixed in
3.3.10
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2756
GHSA-25fx-3c2q-cq46
May 17, 2023
pimcore/customer-management-framework-bundle has SQL Injection vulnerability in Segment Assignment query
7.2
/ 10
High
Network
Low
High
None
Unchanged
High
High
High
ImpactAn administrator user can use the inheritable segments feature to execute his own blind SQL queries. A user with administrator privileges can run any SQL query on database. This can be used to retrieve sensitive data, change database information or any other malicious activity against the database. PatchesUpdate to version 3.3.10 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/76df151737b7964ce5169fdf9e27a0ad801757fe.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/76df151737b7964ce5169fdf9e27a0ad801757fe.patch manually. Referenceshttps://huntr.dev/bounties/cf398528-819f-456e-88e7-c06d268d3f44/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 127 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
Fixed in
3.3.10
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2629
GHSA-mq3x-qgwx-3rfw
May 11, 2023
Embedding untrusted input inside CSV files leads to Formula Injection/CSV Injection
7.8
/ 10
High
Local
Low
None
Required
Unchanged
High
High
High
ImpactThe pimcore application is vulnerable to Formula Injection/CSV Injection via the Firstname, Lastname, Street, Zip & City input fields. These vulnerabilities allow unauthenticated attackers to execute arbitrary code via a crafted excel file. Successful exploitation can lead to impacts such as client-sided command injection, code execution, or remote ex-filtration of contained confidential data. PatchesUpdate to version 3.3.9 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/4e0105c3a78d20686a0c010faef27d2297b98803.patch WorkaroundsApply patch https://github.com/pimcore/customer-data-framework/commit/4e0105c3a78d20686a0c010faef27d2297b98803.patch manually. Referenceshttps://huntr.dev/bounties/821ff465-4754-42d1-9376-813c17f16a01/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 126 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
Fixed in
3.3.9
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-32075
GHSA-x99j-r8vv-gwwj
May 11, 2023
Pimcore vulnerable to Business Logic Errors via Customer automation rules
4.3
/ 10
Medium
Network
Low
Low
None
Unchanged
None
Low
None
ImpactBusiness Logic Errors in the Conditions tab since the counter can be a negative number. This vulnerability is capable of the unlogic in the counter value in the Conditions tab. PatchesUpdate to version 3.3.9 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/e3f333391582d9309115e6b94e875367d0ea7163.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/e3f333391582d9309115e6b94e875367d0ea7163.patch manually. Referenceshttps://huntr.dev/bounties/cecd7800-a996-4f3a-8689-e1c2a1e0248a/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 126 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
Fixed in
3.3.9
References
Updated Sep 10, 2026 · Source: OSV.dev | ||
v3.3.4
patch
9 CVEs
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21667
GHSA-g273-wppx-82w4
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access GDPR extracts
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the GDPR data extraction feature and query over the information returned, leading to customer data exposure. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed:
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21666
GHSA-c38c-c8mh-vq68
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access customers duplicates list
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the list of potential duplicate users and see their data. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed :
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-4145
GHSA-735f-w79p-282x
Aug 03, 2023
pimcore/customer-management-framework-bundle Cross-site Scripting vulnerability in Segment name
6.5
/ 10
Medium
Network
Low
Low
Required
Changed
Low
Low
Low
ImpactAs HTML injection works in email an attacker can trick a victim to click on such hyperlinks to redirect him to any malicious site and also can host a XSS page. All this will surely cause some damage to the victim. This could lead to users being tricked into giving logins away to malicious attackers. PatchesUpdate to version 3.4.2 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch manually. Referenceshttps://huntr.dev/bounties/ce852777-2994-40b4-bb4e-c4d10023eeb0/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 130 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
Fixed in
3.4.2
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-3574
GHSA-vx35-f379-4q49
Jul 10, 2023
Pimcore Customer Management Framework vulnerable to Improper Authorization in Rules Controller
6.5
/ 10
Medium
Network
Low
None
None
Unchanged
Low
Low
None
ImpactThe product performs authorization checks incorrectly when an unauthorized actor tries to access a resource or perform an actions. The attacker can view and freely perform actions to add, modify, or delete rules. PatchesUpdate to version 3.4.1 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch manually. Referenceshttps://huntr.dev/bounties/1dcb4f01-e668-4aa3-a6a3-838532e500c6/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 129 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
Fixed in
3.4.1
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2881
GHSA-j65r-g7q2-f8v3
May 25, 2023
Pimcore customers' list user password hash is disclosed
6.7
/ 10
Medium
Network
Low
High
None
Unchanged
High
Low
High
ImpactThe customer view exposes the hashed password along with other deails. An attacker is then able to enum password of a particular id, likewise we can replace id with other user , for example 1015, password hash can be disclosed which can be further cracked with hashcat PatchesUpdate to version 3.3.10 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/d1d58c10313f080737dc1e71fab3beb12488a1e6.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/d1d58c10313f080737dc1e71fab3beb12488a1e6.patch manually. Referenceshttps://huntr.dev/bounties/db6c32f4-742e-4262-8fd5-cefd0f133416/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 127 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
Fixed in
3.3.10
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2756
GHSA-25fx-3c2q-cq46
May 17, 2023
pimcore/customer-management-framework-bundle has SQL Injection vulnerability in Segment Assignment query
7.2
/ 10
High
Network
Low
High
None
Unchanged
High
High
High
ImpactAn administrator user can use the inheritable segments feature to execute his own blind SQL queries. A user with administrator privileges can run any SQL query on database. This can be used to retrieve sensitive data, change database information or any other malicious activity against the database. PatchesUpdate to version 3.3.10 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/76df151737b7964ce5169fdf9e27a0ad801757fe.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/76df151737b7964ce5169fdf9e27a0ad801757fe.patch manually. Referenceshttps://huntr.dev/bounties/cf398528-819f-456e-88e7-c06d268d3f44/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 127 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
Fixed in
3.3.10
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2629
GHSA-mq3x-qgwx-3rfw
May 11, 2023
Embedding untrusted input inside CSV files leads to Formula Injection/CSV Injection
7.8
/ 10
High
Local
Low
None
Required
Unchanged
High
High
High
ImpactThe pimcore application is vulnerable to Formula Injection/CSV Injection via the Firstname, Lastname, Street, Zip & City input fields. These vulnerabilities allow unauthenticated attackers to execute arbitrary code via a crafted excel file. Successful exploitation can lead to impacts such as client-sided command injection, code execution, or remote ex-filtration of contained confidential data. PatchesUpdate to version 3.3.9 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/4e0105c3a78d20686a0c010faef27d2297b98803.patch WorkaroundsApply patch https://github.com/pimcore/customer-data-framework/commit/4e0105c3a78d20686a0c010faef27d2297b98803.patch manually. Referenceshttps://huntr.dev/bounties/821ff465-4754-42d1-9376-813c17f16a01/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 126 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
Fixed in
3.3.9
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-32075
GHSA-x99j-r8vv-gwwj
May 11, 2023
Pimcore vulnerable to Business Logic Errors via Customer automation rules
4.3
/ 10
Medium
Network
Low
Low
None
Unchanged
None
Low
None
ImpactBusiness Logic Errors in the Conditions tab since the counter can be a negative number. This vulnerability is capable of the unlogic in the counter value in the Conditions tab. PatchesUpdate to version 3.3.9 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/e3f333391582d9309115e6b94e875367d0ea7163.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/e3f333391582d9309115e6b94e875367d0ea7163.patch manually. Referenceshttps://huntr.dev/bounties/cecd7800-a996-4f3a-8689-e1c2a1e0248a/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 126 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
Fixed in
3.3.9
References
Updated Sep 10, 2026 · Source: OSV.dev | ||
v3.3.3
patch
9 CVEs
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21667
GHSA-g273-wppx-82w4
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access GDPR extracts
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the GDPR data extraction feature and query over the information returned, leading to customer data exposure. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed:
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21666
GHSA-c38c-c8mh-vq68
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access customers duplicates list
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the list of potential duplicate users and see their data. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed :
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-4145
GHSA-735f-w79p-282x
Aug 03, 2023
pimcore/customer-management-framework-bundle Cross-site Scripting vulnerability in Segment name
6.5
/ 10
Medium
Network
Low
Low
Required
Changed
Low
Low
Low
ImpactAs HTML injection works in email an attacker can trick a victim to click on such hyperlinks to redirect him to any malicious site and also can host a XSS page. All this will surely cause some damage to the victim. This could lead to users being tricked into giving logins away to malicious attackers. PatchesUpdate to version 3.4.2 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch manually. Referenceshttps://huntr.dev/bounties/ce852777-2994-40b4-bb4e-c4d10023eeb0/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 130 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
Fixed in
3.4.2
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-3574
GHSA-vx35-f379-4q49
Jul 10, 2023
Pimcore Customer Management Framework vulnerable to Improper Authorization in Rules Controller
6.5
/ 10
Medium
Network
Low
None
None
Unchanged
Low
Low
None
ImpactThe product performs authorization checks incorrectly when an unauthorized actor tries to access a resource or perform an actions. The attacker can view and freely perform actions to add, modify, or delete rules. PatchesUpdate to version 3.4.1 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch manually. Referenceshttps://huntr.dev/bounties/1dcb4f01-e668-4aa3-a6a3-838532e500c6/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 129 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
Fixed in
3.4.1
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2881
GHSA-j65r-g7q2-f8v3
May 25, 2023
Pimcore customers' list user password hash is disclosed
6.7
/ 10
Medium
Network
Low
High
None
Unchanged
High
Low
High
ImpactThe customer view exposes the hashed password along with other deails. An attacker is then able to enum password of a particular id, likewise we can replace id with other user , for example 1015, password hash can be disclosed which can be further cracked with hashcat PatchesUpdate to version 3.3.10 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/d1d58c10313f080737dc1e71fab3beb12488a1e6.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/d1d58c10313f080737dc1e71fab3beb12488a1e6.patch manually. Referenceshttps://huntr.dev/bounties/db6c32f4-742e-4262-8fd5-cefd0f133416/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 127 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
Fixed in
3.3.10
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2756
GHSA-25fx-3c2q-cq46
May 17, 2023
pimcore/customer-management-framework-bundle has SQL Injection vulnerability in Segment Assignment query
7.2
/ 10
High
Network
Low
High
None
Unchanged
High
High
High
ImpactAn administrator user can use the inheritable segments feature to execute his own blind SQL queries. A user with administrator privileges can run any SQL query on database. This can be used to retrieve sensitive data, change database information or any other malicious activity against the database. PatchesUpdate to version 3.3.10 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/76df151737b7964ce5169fdf9e27a0ad801757fe.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/76df151737b7964ce5169fdf9e27a0ad801757fe.patch manually. Referenceshttps://huntr.dev/bounties/cf398528-819f-456e-88e7-c06d268d3f44/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 127 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
Fixed in
3.3.10
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2629
GHSA-mq3x-qgwx-3rfw
May 11, 2023
Embedding untrusted input inside CSV files leads to Formula Injection/CSV Injection
7.8
/ 10
High
Local
Low
None
Required
Unchanged
High
High
High
ImpactThe pimcore application is vulnerable to Formula Injection/CSV Injection via the Firstname, Lastname, Street, Zip & City input fields. These vulnerabilities allow unauthenticated attackers to execute arbitrary code via a crafted excel file. Successful exploitation can lead to impacts such as client-sided command injection, code execution, or remote ex-filtration of contained confidential data. PatchesUpdate to version 3.3.9 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/4e0105c3a78d20686a0c010faef27d2297b98803.patch WorkaroundsApply patch https://github.com/pimcore/customer-data-framework/commit/4e0105c3a78d20686a0c010faef27d2297b98803.patch manually. Referenceshttps://huntr.dev/bounties/821ff465-4754-42d1-9376-813c17f16a01/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 126 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
Fixed in
3.3.9
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-32075
GHSA-x99j-r8vv-gwwj
May 11, 2023
Pimcore vulnerable to Business Logic Errors via Customer automation rules
4.3
/ 10
Medium
Network
Low
Low
None
Unchanged
None
Low
None
ImpactBusiness Logic Errors in the Conditions tab since the counter can be a negative number. This vulnerability is capable of the unlogic in the counter value in the Conditions tab. PatchesUpdate to version 3.3.9 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/e3f333391582d9309115e6b94e875367d0ea7163.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/e3f333391582d9309115e6b94e875367d0ea7163.patch manually. Referenceshttps://huntr.dev/bounties/cecd7800-a996-4f3a-8689-e1c2a1e0248a/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 126 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
Fixed in
3.3.9
References
Updated Sep 10, 2026 · Source: OSV.dev | ||
v3.3.2
patch
9 CVEs
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21667
GHSA-g273-wppx-82w4
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access GDPR extracts
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the GDPR data extraction feature and query over the information returned, leading to customer data exposure. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed:
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21666
GHSA-c38c-c8mh-vq68
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access customers duplicates list
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the list of potential duplicate users and see their data. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed :
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-4145
GHSA-735f-w79p-282x
Aug 03, 2023
pimcore/customer-management-framework-bundle Cross-site Scripting vulnerability in Segment name
6.5
/ 10
Medium
Network
Low
Low
Required
Changed
Low
Low
Low
ImpactAs HTML injection works in email an attacker can trick a victim to click on such hyperlinks to redirect him to any malicious site and also can host a XSS page. All this will surely cause some damage to the victim. This could lead to users being tricked into giving logins away to malicious attackers. PatchesUpdate to version 3.4.2 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch manually. Referenceshttps://huntr.dev/bounties/ce852777-2994-40b4-bb4e-c4d10023eeb0/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 130 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
Fixed in
3.4.2
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-3574
GHSA-vx35-f379-4q49
Jul 10, 2023
Pimcore Customer Management Framework vulnerable to Improper Authorization in Rules Controller
6.5
/ 10
Medium
Network
Low
None
None
Unchanged
Low
Low
None
ImpactThe product performs authorization checks incorrectly when an unauthorized actor tries to access a resource or perform an actions. The attacker can view and freely perform actions to add, modify, or delete rules. PatchesUpdate to version 3.4.1 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch manually. Referenceshttps://huntr.dev/bounties/1dcb4f01-e668-4aa3-a6a3-838532e500c6/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 129 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
Fixed in
3.4.1
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2881
GHSA-j65r-g7q2-f8v3
May 25, 2023
Pimcore customers' list user password hash is disclosed
6.7
/ 10
Medium
Network
Low
High
None
Unchanged
High
Low
High
ImpactThe customer view exposes the hashed password along with other deails. An attacker is then able to enum password of a particular id, likewise we can replace id with other user , for example 1015, password hash can be disclosed which can be further cracked with hashcat PatchesUpdate to version 3.3.10 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/d1d58c10313f080737dc1e71fab3beb12488a1e6.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/d1d58c10313f080737dc1e71fab3beb12488a1e6.patch manually. Referenceshttps://huntr.dev/bounties/db6c32f4-742e-4262-8fd5-cefd0f133416/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 127 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
Fixed in
3.3.10
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2756
GHSA-25fx-3c2q-cq46
May 17, 2023
pimcore/customer-management-framework-bundle has SQL Injection vulnerability in Segment Assignment query
7.2
/ 10
High
Network
Low
High
None
Unchanged
High
High
High
ImpactAn administrator user can use the inheritable segments feature to execute his own blind SQL queries. A user with administrator privileges can run any SQL query on database. This can be used to retrieve sensitive data, change database information or any other malicious activity against the database. PatchesUpdate to version 3.3.10 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/76df151737b7964ce5169fdf9e27a0ad801757fe.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/76df151737b7964ce5169fdf9e27a0ad801757fe.patch manually. Referenceshttps://huntr.dev/bounties/cf398528-819f-456e-88e7-c06d268d3f44/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 127 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
Fixed in
3.3.10
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2629
GHSA-mq3x-qgwx-3rfw
May 11, 2023
Embedding untrusted input inside CSV files leads to Formula Injection/CSV Injection
7.8
/ 10
High
Local
Low
None
Required
Unchanged
High
High
High
ImpactThe pimcore application is vulnerable to Formula Injection/CSV Injection via the Firstname, Lastname, Street, Zip & City input fields. These vulnerabilities allow unauthenticated attackers to execute arbitrary code via a crafted excel file. Successful exploitation can lead to impacts such as client-sided command injection, code execution, or remote ex-filtration of contained confidential data. PatchesUpdate to version 3.3.9 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/4e0105c3a78d20686a0c010faef27d2297b98803.patch WorkaroundsApply patch https://github.com/pimcore/customer-data-framework/commit/4e0105c3a78d20686a0c010faef27d2297b98803.patch manually. Referenceshttps://huntr.dev/bounties/821ff465-4754-42d1-9376-813c17f16a01/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 126 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
Fixed in
3.3.9
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-32075
GHSA-x99j-r8vv-gwwj
May 11, 2023
Pimcore vulnerable to Business Logic Errors via Customer automation rules
4.3
/ 10
Medium
Network
Low
Low
None
Unchanged
None
Low
None
ImpactBusiness Logic Errors in the Conditions tab since the counter can be a negative number. This vulnerability is capable of the unlogic in the counter value in the Conditions tab. PatchesUpdate to version 3.3.9 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/e3f333391582d9309115e6b94e875367d0ea7163.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/e3f333391582d9309115e6b94e875367d0ea7163.patch manually. Referenceshttps://huntr.dev/bounties/cecd7800-a996-4f3a-8689-e1c2a1e0248a/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 126 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
Fixed in
3.3.9
References
Updated Sep 10, 2026 · Source: OSV.dev |
v3.3.2
patch
Dependencies (26)
+ 18 more
Changelog
Compare changes
|
|
v3.3.1
patch
9 CVEs
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21667
GHSA-g273-wppx-82w4
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access GDPR extracts
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the GDPR data extraction feature and query over the information returned, leading to customer data exposure. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed:
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21666
GHSA-c38c-c8mh-vq68
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access customers duplicates list
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the list of potential duplicate users and see their data. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed :
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-4145
GHSA-735f-w79p-282x
Aug 03, 2023
pimcore/customer-management-framework-bundle Cross-site Scripting vulnerability in Segment name
6.5
/ 10
Medium
Network
Low
Low
Required
Changed
Low
Low
Low
ImpactAs HTML injection works in email an attacker can trick a victim to click on such hyperlinks to redirect him to any malicious site and also can host a XSS page. All this will surely cause some damage to the victim. This could lead to users being tricked into giving logins away to malicious attackers. PatchesUpdate to version 3.4.2 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch manually. Referenceshttps://huntr.dev/bounties/ce852777-2994-40b4-bb4e-c4d10023eeb0/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 130 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
Fixed in
3.4.2
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-3574
GHSA-vx35-f379-4q49
Jul 10, 2023
Pimcore Customer Management Framework vulnerable to Improper Authorization in Rules Controller
6.5
/ 10
Medium
Network
Low
None
None
Unchanged
Low
Low
None
ImpactThe product performs authorization checks incorrectly when an unauthorized actor tries to access a resource or perform an actions. The attacker can view and freely perform actions to add, modify, or delete rules. PatchesUpdate to version 3.4.1 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch manually. Referenceshttps://huntr.dev/bounties/1dcb4f01-e668-4aa3-a6a3-838532e500c6/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 129 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
Fixed in
3.4.1
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2881
GHSA-j65r-g7q2-f8v3
May 25, 2023
Pimcore customers' list user password hash is disclosed
6.7
/ 10
Medium
Network
Low
High
None
Unchanged
High
Low
High
ImpactThe customer view exposes the hashed password along with other deails. An attacker is then able to enum password of a particular id, likewise we can replace id with other user , for example 1015, password hash can be disclosed which can be further cracked with hashcat PatchesUpdate to version 3.3.10 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/d1d58c10313f080737dc1e71fab3beb12488a1e6.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/d1d58c10313f080737dc1e71fab3beb12488a1e6.patch manually. Referenceshttps://huntr.dev/bounties/db6c32f4-742e-4262-8fd5-cefd0f133416/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 127 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
Fixed in
3.3.10
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2756
GHSA-25fx-3c2q-cq46
May 17, 2023
pimcore/customer-management-framework-bundle has SQL Injection vulnerability in Segment Assignment query
7.2
/ 10
High
Network
Low
High
None
Unchanged
High
High
High
ImpactAn administrator user can use the inheritable segments feature to execute his own blind SQL queries. A user with administrator privileges can run any SQL query on database. This can be used to retrieve sensitive data, change database information or any other malicious activity against the database. PatchesUpdate to version 3.3.10 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/76df151737b7964ce5169fdf9e27a0ad801757fe.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/76df151737b7964ce5169fdf9e27a0ad801757fe.patch manually. Referenceshttps://huntr.dev/bounties/cf398528-819f-456e-88e7-c06d268d3f44/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 127 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
Fixed in
3.3.10
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2629
GHSA-mq3x-qgwx-3rfw
May 11, 2023
Embedding untrusted input inside CSV files leads to Formula Injection/CSV Injection
7.8
/ 10
High
Local
Low
None
Required
Unchanged
High
High
High
ImpactThe pimcore application is vulnerable to Formula Injection/CSV Injection via the Firstname, Lastname, Street, Zip & City input fields. These vulnerabilities allow unauthenticated attackers to execute arbitrary code via a crafted excel file. Successful exploitation can lead to impacts such as client-sided command injection, code execution, or remote ex-filtration of contained confidential data. PatchesUpdate to version 3.3.9 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/4e0105c3a78d20686a0c010faef27d2297b98803.patch WorkaroundsApply patch https://github.com/pimcore/customer-data-framework/commit/4e0105c3a78d20686a0c010faef27d2297b98803.patch manually. Referenceshttps://huntr.dev/bounties/821ff465-4754-42d1-9376-813c17f16a01/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 126 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
Fixed in
3.3.9
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-32075
GHSA-x99j-r8vv-gwwj
May 11, 2023
Pimcore vulnerable to Business Logic Errors via Customer automation rules
4.3
/ 10
Medium
Network
Low
Low
None
Unchanged
None
Low
None
ImpactBusiness Logic Errors in the Conditions tab since the counter can be a negative number. This vulnerability is capable of the unlogic in the counter value in the Conditions tab. PatchesUpdate to version 3.3.9 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/e3f333391582d9309115e6b94e875367d0ea7163.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/e3f333391582d9309115e6b94e875367d0ea7163.patch manually. Referenceshttps://huntr.dev/bounties/cecd7800-a996-4f3a-8689-e1c2a1e0248a/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 126 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
Fixed in
3.3.9
References
Updated Sep 10, 2026 · Source: OSV.dev | ||
v3.3.0
minor
9 CVEs
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21667
GHSA-g273-wppx-82w4
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access GDPR extracts
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the GDPR data extraction feature and query over the information returned, leading to customer data exposure. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed:
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21666
GHSA-c38c-c8mh-vq68
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access customers duplicates list
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the list of potential duplicate users and see their data. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed :
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-4145
GHSA-735f-w79p-282x
Aug 03, 2023
pimcore/customer-management-framework-bundle Cross-site Scripting vulnerability in Segment name
6.5
/ 10
Medium
Network
Low
Low
Required
Changed
Low
Low
Low
ImpactAs HTML injection works in email an attacker can trick a victim to click on such hyperlinks to redirect him to any malicious site and also can host a XSS page. All this will surely cause some damage to the victim. This could lead to users being tricked into giving logins away to malicious attackers. PatchesUpdate to version 3.4.2 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch manually. Referenceshttps://huntr.dev/bounties/ce852777-2994-40b4-bb4e-c4d10023eeb0/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 130 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
Fixed in
3.4.2
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-3574
GHSA-vx35-f379-4q49
Jul 10, 2023
Pimcore Customer Management Framework vulnerable to Improper Authorization in Rules Controller
6.5
/ 10
Medium
Network
Low
None
None
Unchanged
Low
Low
None
ImpactThe product performs authorization checks incorrectly when an unauthorized actor tries to access a resource or perform an actions. The attacker can view and freely perform actions to add, modify, or delete rules. PatchesUpdate to version 3.4.1 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch manually. Referenceshttps://huntr.dev/bounties/1dcb4f01-e668-4aa3-a6a3-838532e500c6/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 129 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
Fixed in
3.4.1
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2881
GHSA-j65r-g7q2-f8v3
May 25, 2023
Pimcore customers' list user password hash is disclosed
6.7
/ 10
Medium
Network
Low
High
None
Unchanged
High
Low
High
ImpactThe customer view exposes the hashed password along with other deails. An attacker is then able to enum password of a particular id, likewise we can replace id with other user , for example 1015, password hash can be disclosed which can be further cracked with hashcat PatchesUpdate to version 3.3.10 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/d1d58c10313f080737dc1e71fab3beb12488a1e6.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/d1d58c10313f080737dc1e71fab3beb12488a1e6.patch manually. Referenceshttps://huntr.dev/bounties/db6c32f4-742e-4262-8fd5-cefd0f133416/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 127 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
Fixed in
3.3.10
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2756
GHSA-25fx-3c2q-cq46
May 17, 2023
pimcore/customer-management-framework-bundle has SQL Injection vulnerability in Segment Assignment query
7.2
/ 10
High
Network
Low
High
None
Unchanged
High
High
High
ImpactAn administrator user can use the inheritable segments feature to execute his own blind SQL queries. A user with administrator privileges can run any SQL query on database. This can be used to retrieve sensitive data, change database information or any other malicious activity against the database. PatchesUpdate to version 3.3.10 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/76df151737b7964ce5169fdf9e27a0ad801757fe.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/76df151737b7964ce5169fdf9e27a0ad801757fe.patch manually. Referenceshttps://huntr.dev/bounties/cf398528-819f-456e-88e7-c06d268d3f44/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 127 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
Fixed in
3.3.10
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2629
GHSA-mq3x-qgwx-3rfw
May 11, 2023
Embedding untrusted input inside CSV files leads to Formula Injection/CSV Injection
7.8
/ 10
High
Local
Low
None
Required
Unchanged
High
High
High
ImpactThe pimcore application is vulnerable to Formula Injection/CSV Injection via the Firstname, Lastname, Street, Zip & City input fields. These vulnerabilities allow unauthenticated attackers to execute arbitrary code via a crafted excel file. Successful exploitation can lead to impacts such as client-sided command injection, code execution, or remote ex-filtration of contained confidential data. PatchesUpdate to version 3.3.9 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/4e0105c3a78d20686a0c010faef27d2297b98803.patch WorkaroundsApply patch https://github.com/pimcore/customer-data-framework/commit/4e0105c3a78d20686a0c010faef27d2297b98803.patch manually. Referenceshttps://huntr.dev/bounties/821ff465-4754-42d1-9376-813c17f16a01/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 126 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
Fixed in
3.3.9
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-32075
GHSA-x99j-r8vv-gwwj
May 11, 2023
Pimcore vulnerable to Business Logic Errors via Customer automation rules
4.3
/ 10
Medium
Network
Low
Low
None
Unchanged
None
Low
None
ImpactBusiness Logic Errors in the Conditions tab since the counter can be a negative number. This vulnerability is capable of the unlogic in the counter value in the Conditions tab. PatchesUpdate to version 3.3.9 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/e3f333391582d9309115e6b94e875367d0ea7163.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/e3f333391582d9309115e6b94e875367d0ea7163.patch manually. Referenceshttps://huntr.dev/bounties/cecd7800-a996-4f3a-8689-e1c2a1e0248a/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 126 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
Fixed in
3.3.9
References
Updated Sep 10, 2026 · Source: OSV.dev | ||
v3.2.14
patch
9 CVEs
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21667
GHSA-g273-wppx-82w4
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access GDPR extracts
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the GDPR data extraction feature and query over the information returned, leading to customer data exposure. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed:
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21666
GHSA-c38c-c8mh-vq68
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access customers duplicates list
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the list of potential duplicate users and see their data. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed :
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-4145
GHSA-735f-w79p-282x
Aug 03, 2023
pimcore/customer-management-framework-bundle Cross-site Scripting vulnerability in Segment name
6.5
/ 10
Medium
Network
Low
Low
Required
Changed
Low
Low
Low
ImpactAs HTML injection works in email an attacker can trick a victim to click on such hyperlinks to redirect him to any malicious site and also can host a XSS page. All this will surely cause some damage to the victim. This could lead to users being tricked into giving logins away to malicious attackers. PatchesUpdate to version 3.4.2 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch manually. Referenceshttps://huntr.dev/bounties/ce852777-2994-40b4-bb4e-c4d10023eeb0/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 130 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
Fixed in
3.4.2
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-3574
GHSA-vx35-f379-4q49
Jul 10, 2023
Pimcore Customer Management Framework vulnerable to Improper Authorization in Rules Controller
6.5
/ 10
Medium
Network
Low
None
None
Unchanged
Low
Low
None
ImpactThe product performs authorization checks incorrectly when an unauthorized actor tries to access a resource or perform an actions. The attacker can view and freely perform actions to add, modify, or delete rules. PatchesUpdate to version 3.4.1 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch manually. Referenceshttps://huntr.dev/bounties/1dcb4f01-e668-4aa3-a6a3-838532e500c6/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 129 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
Fixed in
3.4.1
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2881
GHSA-j65r-g7q2-f8v3
May 25, 2023
Pimcore customers' list user password hash is disclosed
6.7
/ 10
Medium
Network
Low
High
None
Unchanged
High
Low
High
ImpactThe customer view exposes the hashed password along with other deails. An attacker is then able to enum password of a particular id, likewise we can replace id with other user , for example 1015, password hash can be disclosed which can be further cracked with hashcat PatchesUpdate to version 3.3.10 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/d1d58c10313f080737dc1e71fab3beb12488a1e6.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/d1d58c10313f080737dc1e71fab3beb12488a1e6.patch manually. Referenceshttps://huntr.dev/bounties/db6c32f4-742e-4262-8fd5-cefd0f133416/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 127 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
Fixed in
3.3.10
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2756
GHSA-25fx-3c2q-cq46
May 17, 2023
pimcore/customer-management-framework-bundle has SQL Injection vulnerability in Segment Assignment query
7.2
/ 10
High
Network
Low
High
None
Unchanged
High
High
High
ImpactAn administrator user can use the inheritable segments feature to execute his own blind SQL queries. A user with administrator privileges can run any SQL query on database. This can be used to retrieve sensitive data, change database information or any other malicious activity against the database. PatchesUpdate to version 3.3.10 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/76df151737b7964ce5169fdf9e27a0ad801757fe.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/76df151737b7964ce5169fdf9e27a0ad801757fe.patch manually. Referenceshttps://huntr.dev/bounties/cf398528-819f-456e-88e7-c06d268d3f44/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 127 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
Fixed in
3.3.10
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2629
GHSA-mq3x-qgwx-3rfw
May 11, 2023
Embedding untrusted input inside CSV files leads to Formula Injection/CSV Injection
7.8
/ 10
High
Local
Low
None
Required
Unchanged
High
High
High
ImpactThe pimcore application is vulnerable to Formula Injection/CSV Injection via the Firstname, Lastname, Street, Zip & City input fields. These vulnerabilities allow unauthenticated attackers to execute arbitrary code via a crafted excel file. Successful exploitation can lead to impacts such as client-sided command injection, code execution, or remote ex-filtration of contained confidential data. PatchesUpdate to version 3.3.9 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/4e0105c3a78d20686a0c010faef27d2297b98803.patch WorkaroundsApply patch https://github.com/pimcore/customer-data-framework/commit/4e0105c3a78d20686a0c010faef27d2297b98803.patch manually. Referenceshttps://huntr.dev/bounties/821ff465-4754-42d1-9376-813c17f16a01/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 126 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
Fixed in
3.3.9
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-32075
GHSA-x99j-r8vv-gwwj
May 11, 2023
Pimcore vulnerable to Business Logic Errors via Customer automation rules
4.3
/ 10
Medium
Network
Low
Low
None
Unchanged
None
Low
None
ImpactBusiness Logic Errors in the Conditions tab since the counter can be a negative number. This vulnerability is capable of the unlogic in the counter value in the Conditions tab. PatchesUpdate to version 3.3.9 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/e3f333391582d9309115e6b94e875367d0ea7163.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/e3f333391582d9309115e6b94e875367d0ea7163.patch manually. Referenceshttps://huntr.dev/bounties/cecd7800-a996-4f3a-8689-e1c2a1e0248a/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 126 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
Fixed in
3.3.9
References
Updated Sep 10, 2026 · Source: OSV.dev |
v3.2.14
patch
Dependencies (25)
+ 17 more
Changelog
Compare changes
|
|
v3.2.13
patch
9 CVEs
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21667
GHSA-g273-wppx-82w4
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access GDPR extracts
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the GDPR data extraction feature and query over the information returned, leading to customer data exposure. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed:
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21666
GHSA-c38c-c8mh-vq68
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access customers duplicates list
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the list of potential duplicate users and see their data. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed :
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-4145
GHSA-735f-w79p-282x
Aug 03, 2023
pimcore/customer-management-framework-bundle Cross-site Scripting vulnerability in Segment name
6.5
/ 10
Medium
Network
Low
Low
Required
Changed
Low
Low
Low
ImpactAs HTML injection works in email an attacker can trick a victim to click on such hyperlinks to redirect him to any malicious site and also can host a XSS page. All this will surely cause some damage to the victim. This could lead to users being tricked into giving logins away to malicious attackers. PatchesUpdate to version 3.4.2 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch manually. Referenceshttps://huntr.dev/bounties/ce852777-2994-40b4-bb4e-c4d10023eeb0/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 130 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
Fixed in
3.4.2
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-3574
GHSA-vx35-f379-4q49
Jul 10, 2023
Pimcore Customer Management Framework vulnerable to Improper Authorization in Rules Controller
6.5
/ 10
Medium
Network
Low
None
None
Unchanged
Low
Low
None
ImpactThe product performs authorization checks incorrectly when an unauthorized actor tries to access a resource or perform an actions. The attacker can view and freely perform actions to add, modify, or delete rules. PatchesUpdate to version 3.4.1 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch manually. Referenceshttps://huntr.dev/bounties/1dcb4f01-e668-4aa3-a6a3-838532e500c6/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 129 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
Fixed in
3.4.1
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2881
GHSA-j65r-g7q2-f8v3
May 25, 2023
Pimcore customers' list user password hash is disclosed
6.7
/ 10
Medium
Network
Low
High
None
Unchanged
High
Low
High
ImpactThe customer view exposes the hashed password along with other deails. An attacker is then able to enum password of a particular id, likewise we can replace id with other user , for example 1015, password hash can be disclosed which can be further cracked with hashcat PatchesUpdate to version 3.3.10 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/d1d58c10313f080737dc1e71fab3beb12488a1e6.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/d1d58c10313f080737dc1e71fab3beb12488a1e6.patch manually. Referenceshttps://huntr.dev/bounties/db6c32f4-742e-4262-8fd5-cefd0f133416/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 127 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
Fixed in
3.3.10
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2756
GHSA-25fx-3c2q-cq46
May 17, 2023
pimcore/customer-management-framework-bundle has SQL Injection vulnerability in Segment Assignment query
7.2
/ 10
High
Network
Low
High
None
Unchanged
High
High
High
ImpactAn administrator user can use the inheritable segments feature to execute his own blind SQL queries. A user with administrator privileges can run any SQL query on database. This can be used to retrieve sensitive data, change database information or any other malicious activity against the database. PatchesUpdate to version 3.3.10 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/76df151737b7964ce5169fdf9e27a0ad801757fe.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/76df151737b7964ce5169fdf9e27a0ad801757fe.patch manually. Referenceshttps://huntr.dev/bounties/cf398528-819f-456e-88e7-c06d268d3f44/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 127 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
Fixed in
3.3.10
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2629
GHSA-mq3x-qgwx-3rfw
May 11, 2023
Embedding untrusted input inside CSV files leads to Formula Injection/CSV Injection
7.8
/ 10
High
Local
Low
None
Required
Unchanged
High
High
High
ImpactThe pimcore application is vulnerable to Formula Injection/CSV Injection via the Firstname, Lastname, Street, Zip & City input fields. These vulnerabilities allow unauthenticated attackers to execute arbitrary code via a crafted excel file. Successful exploitation can lead to impacts such as client-sided command injection, code execution, or remote ex-filtration of contained confidential data. PatchesUpdate to version 3.3.9 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/4e0105c3a78d20686a0c010faef27d2297b98803.patch WorkaroundsApply patch https://github.com/pimcore/customer-data-framework/commit/4e0105c3a78d20686a0c010faef27d2297b98803.patch manually. Referenceshttps://huntr.dev/bounties/821ff465-4754-42d1-9376-813c17f16a01/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 126 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
Fixed in
3.3.9
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-32075
GHSA-x99j-r8vv-gwwj
May 11, 2023
Pimcore vulnerable to Business Logic Errors via Customer automation rules
4.3
/ 10
Medium
Network
Low
Low
None
Unchanged
None
Low
None
ImpactBusiness Logic Errors in the Conditions tab since the counter can be a negative number. This vulnerability is capable of the unlogic in the counter value in the Conditions tab. PatchesUpdate to version 3.3.9 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/e3f333391582d9309115e6b94e875367d0ea7163.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/e3f333391582d9309115e6b94e875367d0ea7163.patch manually. Referenceshttps://huntr.dev/bounties/cecd7800-a996-4f3a-8689-e1c2a1e0248a/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 126 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
Fixed in
3.3.9
References
Updated Sep 10, 2026 · Source: OSV.dev | ||
v3.2.12
patch
9 CVEs
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21667
GHSA-g273-wppx-82w4
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access GDPR extracts
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the GDPR data extraction feature and query over the information returned, leading to customer data exposure. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed:
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21666
GHSA-c38c-c8mh-vq68
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access customers duplicates list
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the list of potential duplicate users and see their data. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed :
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-4145
GHSA-735f-w79p-282x
Aug 03, 2023
pimcore/customer-management-framework-bundle Cross-site Scripting vulnerability in Segment name
6.5
/ 10
Medium
Network
Low
Low
Required
Changed
Low
Low
Low
ImpactAs HTML injection works in email an attacker can trick a victim to click on such hyperlinks to redirect him to any malicious site and also can host a XSS page. All this will surely cause some damage to the victim. This could lead to users being tricked into giving logins away to malicious attackers. PatchesUpdate to version 3.4.2 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch manually. Referenceshttps://huntr.dev/bounties/ce852777-2994-40b4-bb4e-c4d10023eeb0/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 130 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
Fixed in
3.4.2
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-3574
GHSA-vx35-f379-4q49
Jul 10, 2023
Pimcore Customer Management Framework vulnerable to Improper Authorization in Rules Controller
6.5
/ 10
Medium
Network
Low
None
None
Unchanged
Low
Low
None
ImpactThe product performs authorization checks incorrectly when an unauthorized actor tries to access a resource or perform an actions. The attacker can view and freely perform actions to add, modify, or delete rules. PatchesUpdate to version 3.4.1 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch manually. Referenceshttps://huntr.dev/bounties/1dcb4f01-e668-4aa3-a6a3-838532e500c6/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 129 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
Fixed in
3.4.1
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2881
GHSA-j65r-g7q2-f8v3
May 25, 2023
Pimcore customers' list user password hash is disclosed
6.7
/ 10
Medium
Network
Low
High
None
Unchanged
High
Low
High
ImpactThe customer view exposes the hashed password along with other deails. An attacker is then able to enum password of a particular id, likewise we can replace id with other user , for example 1015, password hash can be disclosed which can be further cracked with hashcat PatchesUpdate to version 3.3.10 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/d1d58c10313f080737dc1e71fab3beb12488a1e6.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/d1d58c10313f080737dc1e71fab3beb12488a1e6.patch manually. Referenceshttps://huntr.dev/bounties/db6c32f4-742e-4262-8fd5-cefd0f133416/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 127 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
Fixed in
3.3.10
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2756
GHSA-25fx-3c2q-cq46
May 17, 2023
pimcore/customer-management-framework-bundle has SQL Injection vulnerability in Segment Assignment query
7.2
/ 10
High
Network
Low
High
None
Unchanged
High
High
High
ImpactAn administrator user can use the inheritable segments feature to execute his own blind SQL queries. A user with administrator privileges can run any SQL query on database. This can be used to retrieve sensitive data, change database information or any other malicious activity against the database. PatchesUpdate to version 3.3.10 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/76df151737b7964ce5169fdf9e27a0ad801757fe.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/76df151737b7964ce5169fdf9e27a0ad801757fe.patch manually. Referenceshttps://huntr.dev/bounties/cf398528-819f-456e-88e7-c06d268d3f44/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 127 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
Fixed in
3.3.10
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2629
GHSA-mq3x-qgwx-3rfw
May 11, 2023
Embedding untrusted input inside CSV files leads to Formula Injection/CSV Injection
7.8
/ 10
High
Local
Low
None
Required
Unchanged
High
High
High
ImpactThe pimcore application is vulnerable to Formula Injection/CSV Injection via the Firstname, Lastname, Street, Zip & City input fields. These vulnerabilities allow unauthenticated attackers to execute arbitrary code via a crafted excel file. Successful exploitation can lead to impacts such as client-sided command injection, code execution, or remote ex-filtration of contained confidential data. PatchesUpdate to version 3.3.9 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/4e0105c3a78d20686a0c010faef27d2297b98803.patch WorkaroundsApply patch https://github.com/pimcore/customer-data-framework/commit/4e0105c3a78d20686a0c010faef27d2297b98803.patch manually. Referenceshttps://huntr.dev/bounties/821ff465-4754-42d1-9376-813c17f16a01/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 126 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
Fixed in
3.3.9
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-32075
GHSA-x99j-r8vv-gwwj
May 11, 2023
Pimcore vulnerable to Business Logic Errors via Customer automation rules
4.3
/ 10
Medium
Network
Low
Low
None
Unchanged
None
Low
None
ImpactBusiness Logic Errors in the Conditions tab since the counter can be a negative number. This vulnerability is capable of the unlogic in the counter value in the Conditions tab. PatchesUpdate to version 3.3.9 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/e3f333391582d9309115e6b94e875367d0ea7163.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/e3f333391582d9309115e6b94e875367d0ea7163.patch manually. Referenceshttps://huntr.dev/bounties/cecd7800-a996-4f3a-8689-e1c2a1e0248a/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 126 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
Fixed in
3.3.9
References
Updated Sep 10, 2026 · Source: OSV.dev | ||
v3.2.11
patch
9 CVEs
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21667
GHSA-g273-wppx-82w4
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access GDPR extracts
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the GDPR data extraction feature and query over the information returned, leading to customer data exposure. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed:
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21666
GHSA-c38c-c8mh-vq68
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access customers duplicates list
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the list of potential duplicate users and see their data. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed :
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-4145
GHSA-735f-w79p-282x
Aug 03, 2023
pimcore/customer-management-framework-bundle Cross-site Scripting vulnerability in Segment name
6.5
/ 10
Medium
Network
Low
Low
Required
Changed
Low
Low
Low
ImpactAs HTML injection works in email an attacker can trick a victim to click on such hyperlinks to redirect him to any malicious site and also can host a XSS page. All this will surely cause some damage to the victim. This could lead to users being tricked into giving logins away to malicious attackers. PatchesUpdate to version 3.4.2 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch manually. Referenceshttps://huntr.dev/bounties/ce852777-2994-40b4-bb4e-c4d10023eeb0/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 130 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
Fixed in
3.4.2
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-3574
GHSA-vx35-f379-4q49
Jul 10, 2023
Pimcore Customer Management Framework vulnerable to Improper Authorization in Rules Controller
6.5
/ 10
Medium
Network
Low
None
None
Unchanged
Low
Low
None
ImpactThe product performs authorization checks incorrectly when an unauthorized actor tries to access a resource or perform an actions. The attacker can view and freely perform actions to add, modify, or delete rules. PatchesUpdate to version 3.4.1 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch manually. Referenceshttps://huntr.dev/bounties/1dcb4f01-e668-4aa3-a6a3-838532e500c6/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 129 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
Fixed in
3.4.1
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2881
GHSA-j65r-g7q2-f8v3
May 25, 2023
Pimcore customers' list user password hash is disclosed
6.7
/ 10
Medium
Network
Low
High
None
Unchanged
High
Low
High
ImpactThe customer view exposes the hashed password along with other deails. An attacker is then able to enum password of a particular id, likewise we can replace id with other user , for example 1015, password hash can be disclosed which can be further cracked with hashcat PatchesUpdate to version 3.3.10 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/d1d58c10313f080737dc1e71fab3beb12488a1e6.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/d1d58c10313f080737dc1e71fab3beb12488a1e6.patch manually. Referenceshttps://huntr.dev/bounties/db6c32f4-742e-4262-8fd5-cefd0f133416/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 127 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
Fixed in
3.3.10
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2756
GHSA-25fx-3c2q-cq46
May 17, 2023
pimcore/customer-management-framework-bundle has SQL Injection vulnerability in Segment Assignment query
7.2
/ 10
High
Network
Low
High
None
Unchanged
High
High
High
ImpactAn administrator user can use the inheritable segments feature to execute his own blind SQL queries. A user with administrator privileges can run any SQL query on database. This can be used to retrieve sensitive data, change database information or any other malicious activity against the database. PatchesUpdate to version 3.3.10 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/76df151737b7964ce5169fdf9e27a0ad801757fe.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/76df151737b7964ce5169fdf9e27a0ad801757fe.patch manually. Referenceshttps://huntr.dev/bounties/cf398528-819f-456e-88e7-c06d268d3f44/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 127 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
Fixed in
3.3.10
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2629
GHSA-mq3x-qgwx-3rfw
May 11, 2023
Embedding untrusted input inside CSV files leads to Formula Injection/CSV Injection
7.8
/ 10
High
Local
Low
None
Required
Unchanged
High
High
High
ImpactThe pimcore application is vulnerable to Formula Injection/CSV Injection via the Firstname, Lastname, Street, Zip & City input fields. These vulnerabilities allow unauthenticated attackers to execute arbitrary code via a crafted excel file. Successful exploitation can lead to impacts such as client-sided command injection, code execution, or remote ex-filtration of contained confidential data. PatchesUpdate to version 3.3.9 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/4e0105c3a78d20686a0c010faef27d2297b98803.patch WorkaroundsApply patch https://github.com/pimcore/customer-data-framework/commit/4e0105c3a78d20686a0c010faef27d2297b98803.patch manually. Referenceshttps://huntr.dev/bounties/821ff465-4754-42d1-9376-813c17f16a01/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 126 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
Fixed in
3.3.9
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-32075
GHSA-x99j-r8vv-gwwj
May 11, 2023
Pimcore vulnerable to Business Logic Errors via Customer automation rules
4.3
/ 10
Medium
Network
Low
Low
None
Unchanged
None
Low
None
ImpactBusiness Logic Errors in the Conditions tab since the counter can be a negative number. This vulnerability is capable of the unlogic in the counter value in the Conditions tab. PatchesUpdate to version 3.3.9 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/e3f333391582d9309115e6b94e875367d0ea7163.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/e3f333391582d9309115e6b94e875367d0ea7163.patch manually. Referenceshttps://huntr.dev/bounties/cecd7800-a996-4f3a-8689-e1c2a1e0248a/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 126 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
Fixed in
3.3.9
References
Updated Sep 10, 2026 · Source: OSV.dev | ||
v3.2.10
patch
9 CVEs
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21667
GHSA-g273-wppx-82w4
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access GDPR extracts
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the GDPR data extraction feature and query over the information returned, leading to customer data exposure. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed:
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21666
GHSA-c38c-c8mh-vq68
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access customers duplicates list
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the list of potential duplicate users and see their data. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed :
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-4145
GHSA-735f-w79p-282x
Aug 03, 2023
pimcore/customer-management-framework-bundle Cross-site Scripting vulnerability in Segment name
6.5
/ 10
Medium
Network
Low
Low
Required
Changed
Low
Low
Low
ImpactAs HTML injection works in email an attacker can trick a victim to click on such hyperlinks to redirect him to any malicious site and also can host a XSS page. All this will surely cause some damage to the victim. This could lead to users being tricked into giving logins away to malicious attackers. PatchesUpdate to version 3.4.2 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch manually. Referenceshttps://huntr.dev/bounties/ce852777-2994-40b4-bb4e-c4d10023eeb0/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 130 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
Fixed in
3.4.2
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-3574
GHSA-vx35-f379-4q49
Jul 10, 2023
Pimcore Customer Management Framework vulnerable to Improper Authorization in Rules Controller
6.5
/ 10
Medium
Network
Low
None
None
Unchanged
Low
Low
None
ImpactThe product performs authorization checks incorrectly when an unauthorized actor tries to access a resource or perform an actions. The attacker can view and freely perform actions to add, modify, or delete rules. PatchesUpdate to version 3.4.1 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch manually. Referenceshttps://huntr.dev/bounties/1dcb4f01-e668-4aa3-a6a3-838532e500c6/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 129 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
Fixed in
3.4.1
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2881
GHSA-j65r-g7q2-f8v3
May 25, 2023
Pimcore customers' list user password hash is disclosed
6.7
/ 10
Medium
Network
Low
High
None
Unchanged
High
Low
High
ImpactThe customer view exposes the hashed password along with other deails. An attacker is then able to enum password of a particular id, likewise we can replace id with other user , for example 1015, password hash can be disclosed which can be further cracked with hashcat PatchesUpdate to version 3.3.10 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/d1d58c10313f080737dc1e71fab3beb12488a1e6.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/d1d58c10313f080737dc1e71fab3beb12488a1e6.patch manually. Referenceshttps://huntr.dev/bounties/db6c32f4-742e-4262-8fd5-cefd0f133416/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 127 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
Fixed in
3.3.10
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2756
GHSA-25fx-3c2q-cq46
May 17, 2023
pimcore/customer-management-framework-bundle has SQL Injection vulnerability in Segment Assignment query
7.2
/ 10
High
Network
Low
High
None
Unchanged
High
High
High
ImpactAn administrator user can use the inheritable segments feature to execute his own blind SQL queries. A user with administrator privileges can run any SQL query on database. This can be used to retrieve sensitive data, change database information or any other malicious activity against the database. PatchesUpdate to version 3.3.10 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/76df151737b7964ce5169fdf9e27a0ad801757fe.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/76df151737b7964ce5169fdf9e27a0ad801757fe.patch manually. Referenceshttps://huntr.dev/bounties/cf398528-819f-456e-88e7-c06d268d3f44/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 127 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
Fixed in
3.3.10
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2629
GHSA-mq3x-qgwx-3rfw
May 11, 2023
Embedding untrusted input inside CSV files leads to Formula Injection/CSV Injection
7.8
/ 10
High
Local
Low
None
Required
Unchanged
High
High
High
ImpactThe pimcore application is vulnerable to Formula Injection/CSV Injection via the Firstname, Lastname, Street, Zip & City input fields. These vulnerabilities allow unauthenticated attackers to execute arbitrary code via a crafted excel file. Successful exploitation can lead to impacts such as client-sided command injection, code execution, or remote ex-filtration of contained confidential data. PatchesUpdate to version 3.3.9 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/4e0105c3a78d20686a0c010faef27d2297b98803.patch WorkaroundsApply patch https://github.com/pimcore/customer-data-framework/commit/4e0105c3a78d20686a0c010faef27d2297b98803.patch manually. Referenceshttps://huntr.dev/bounties/821ff465-4754-42d1-9376-813c17f16a01/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 126 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
Fixed in
3.3.9
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-32075
GHSA-x99j-r8vv-gwwj
May 11, 2023
Pimcore vulnerable to Business Logic Errors via Customer automation rules
4.3
/ 10
Medium
Network
Low
Low
None
Unchanged
None
Low
None
ImpactBusiness Logic Errors in the Conditions tab since the counter can be a negative number. This vulnerability is capable of the unlogic in the counter value in the Conditions tab. PatchesUpdate to version 3.3.9 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/e3f333391582d9309115e6b94e875367d0ea7163.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/e3f333391582d9309115e6b94e875367d0ea7163.patch manually. Referenceshttps://huntr.dev/bounties/cecd7800-a996-4f3a-8689-e1c2a1e0248a/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 126 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
Fixed in
3.3.9
References
Updated Sep 10, 2026 · Source: OSV.dev | ||
v3.2.9
patch
9 CVEs
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21667
GHSA-g273-wppx-82w4
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access GDPR extracts
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the GDPR data extraction feature and query over the information returned, leading to customer data exposure. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed:
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21666
GHSA-c38c-c8mh-vq68
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access customers duplicates list
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the list of potential duplicate users and see their data. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed :
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-4145
GHSA-735f-w79p-282x
Aug 03, 2023
pimcore/customer-management-framework-bundle Cross-site Scripting vulnerability in Segment name
6.5
/ 10
Medium
Network
Low
Low
Required
Changed
Low
Low
Low
ImpactAs HTML injection works in email an attacker can trick a victim to click on such hyperlinks to redirect him to any malicious site and also can host a XSS page. All this will surely cause some damage to the victim. This could lead to users being tricked into giving logins away to malicious attackers. PatchesUpdate to version 3.4.2 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch manually. Referenceshttps://huntr.dev/bounties/ce852777-2994-40b4-bb4e-c4d10023eeb0/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 130 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
Fixed in
3.4.2
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-3574
GHSA-vx35-f379-4q49
Jul 10, 2023
Pimcore Customer Management Framework vulnerable to Improper Authorization in Rules Controller
6.5
/ 10
Medium
Network
Low
None
None
Unchanged
Low
Low
None
ImpactThe product performs authorization checks incorrectly when an unauthorized actor tries to access a resource or perform an actions. The attacker can view and freely perform actions to add, modify, or delete rules. PatchesUpdate to version 3.4.1 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch manually. Referenceshttps://huntr.dev/bounties/1dcb4f01-e668-4aa3-a6a3-838532e500c6/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 129 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
Fixed in
3.4.1
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2881
GHSA-j65r-g7q2-f8v3
May 25, 2023
Pimcore customers' list user password hash is disclosed
6.7
/ 10
Medium
Network
Low
High
None
Unchanged
High
Low
High
ImpactThe customer view exposes the hashed password along with other deails. An attacker is then able to enum password of a particular id, likewise we can replace id with other user , for example 1015, password hash can be disclosed which can be further cracked with hashcat PatchesUpdate to version 3.3.10 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/d1d58c10313f080737dc1e71fab3beb12488a1e6.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/d1d58c10313f080737dc1e71fab3beb12488a1e6.patch manually. Referenceshttps://huntr.dev/bounties/db6c32f4-742e-4262-8fd5-cefd0f133416/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 127 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
Fixed in
3.3.10
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2756
GHSA-25fx-3c2q-cq46
May 17, 2023
pimcore/customer-management-framework-bundle has SQL Injection vulnerability in Segment Assignment query
7.2
/ 10
High
Network
Low
High
None
Unchanged
High
High
High
ImpactAn administrator user can use the inheritable segments feature to execute his own blind SQL queries. A user with administrator privileges can run any SQL query on database. This can be used to retrieve sensitive data, change database information or any other malicious activity against the database. PatchesUpdate to version 3.3.10 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/76df151737b7964ce5169fdf9e27a0ad801757fe.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/76df151737b7964ce5169fdf9e27a0ad801757fe.patch manually. Referenceshttps://huntr.dev/bounties/cf398528-819f-456e-88e7-c06d268d3f44/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 127 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
Fixed in
3.3.10
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2629
GHSA-mq3x-qgwx-3rfw
May 11, 2023
Embedding untrusted input inside CSV files leads to Formula Injection/CSV Injection
7.8
/ 10
High
Local
Low
None
Required
Unchanged
High
High
High
ImpactThe pimcore application is vulnerable to Formula Injection/CSV Injection via the Firstname, Lastname, Street, Zip & City input fields. These vulnerabilities allow unauthenticated attackers to execute arbitrary code via a crafted excel file. Successful exploitation can lead to impacts such as client-sided command injection, code execution, or remote ex-filtration of contained confidential data. PatchesUpdate to version 3.3.9 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/4e0105c3a78d20686a0c010faef27d2297b98803.patch WorkaroundsApply patch https://github.com/pimcore/customer-data-framework/commit/4e0105c3a78d20686a0c010faef27d2297b98803.patch manually. Referenceshttps://huntr.dev/bounties/821ff465-4754-42d1-9376-813c17f16a01/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 126 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
Fixed in
3.3.9
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-32075
GHSA-x99j-r8vv-gwwj
May 11, 2023
Pimcore vulnerable to Business Logic Errors via Customer automation rules
4.3
/ 10
Medium
Network
Low
Low
None
Unchanged
None
Low
None
ImpactBusiness Logic Errors in the Conditions tab since the counter can be a negative number. This vulnerability is capable of the unlogic in the counter value in the Conditions tab. PatchesUpdate to version 3.3.9 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/e3f333391582d9309115e6b94e875367d0ea7163.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/e3f333391582d9309115e6b94e875367d0ea7163.patch manually. Referenceshttps://huntr.dev/bounties/cecd7800-a996-4f3a-8689-e1c2a1e0248a/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 126 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
Fixed in
3.3.9
References
Updated Sep 10, 2026 · Source: OSV.dev | ||
v3.2.8
patch
9 CVEs
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21667
GHSA-g273-wppx-82w4
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access GDPR extracts
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the GDPR data extraction feature and query over the information returned, leading to customer data exposure. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed:
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21666
GHSA-c38c-c8mh-vq68
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access customers duplicates list
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the list of potential duplicate users and see their data. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed :
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-4145
GHSA-735f-w79p-282x
Aug 03, 2023
pimcore/customer-management-framework-bundle Cross-site Scripting vulnerability in Segment name
6.5
/ 10
Medium
Network
Low
Low
Required
Changed
Low
Low
Low
ImpactAs HTML injection works in email an attacker can trick a victim to click on such hyperlinks to redirect him to any malicious site and also can host a XSS page. All this will surely cause some damage to the victim. This could lead to users being tricked into giving logins away to malicious attackers. PatchesUpdate to version 3.4.2 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch manually. Referenceshttps://huntr.dev/bounties/ce852777-2994-40b4-bb4e-c4d10023eeb0/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 130 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
Fixed in
3.4.2
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-3574
GHSA-vx35-f379-4q49
Jul 10, 2023
Pimcore Customer Management Framework vulnerable to Improper Authorization in Rules Controller
6.5
/ 10
Medium
Network
Low
None
None
Unchanged
Low
Low
None
ImpactThe product performs authorization checks incorrectly when an unauthorized actor tries to access a resource or perform an actions. The attacker can view and freely perform actions to add, modify, or delete rules. PatchesUpdate to version 3.4.1 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch manually. Referenceshttps://huntr.dev/bounties/1dcb4f01-e668-4aa3-a6a3-838532e500c6/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 129 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
Fixed in
3.4.1
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2881
GHSA-j65r-g7q2-f8v3
May 25, 2023
Pimcore customers' list user password hash is disclosed
6.7
/ 10
Medium
Network
Low
High
None
Unchanged
High
Low
High
ImpactThe customer view exposes the hashed password along with other deails. An attacker is then able to enum password of a particular id, likewise we can replace id with other user , for example 1015, password hash can be disclosed which can be further cracked with hashcat PatchesUpdate to version 3.3.10 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/d1d58c10313f080737dc1e71fab3beb12488a1e6.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/d1d58c10313f080737dc1e71fab3beb12488a1e6.patch manually. Referenceshttps://huntr.dev/bounties/db6c32f4-742e-4262-8fd5-cefd0f133416/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 127 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
Fixed in
3.3.10
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2756
GHSA-25fx-3c2q-cq46
May 17, 2023
pimcore/customer-management-framework-bundle has SQL Injection vulnerability in Segment Assignment query
7.2
/ 10
High
Network
Low
High
None
Unchanged
High
High
High
ImpactAn administrator user can use the inheritable segments feature to execute his own blind SQL queries. A user with administrator privileges can run any SQL query on database. This can be used to retrieve sensitive data, change database information or any other malicious activity against the database. PatchesUpdate to version 3.3.10 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/76df151737b7964ce5169fdf9e27a0ad801757fe.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/76df151737b7964ce5169fdf9e27a0ad801757fe.patch manually. Referenceshttps://huntr.dev/bounties/cf398528-819f-456e-88e7-c06d268d3f44/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 127 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
Fixed in
3.3.10
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2629
GHSA-mq3x-qgwx-3rfw
May 11, 2023
Embedding untrusted input inside CSV files leads to Formula Injection/CSV Injection
7.8
/ 10
High
Local
Low
None
Required
Unchanged
High
High
High
ImpactThe pimcore application is vulnerable to Formula Injection/CSV Injection via the Firstname, Lastname, Street, Zip & City input fields. These vulnerabilities allow unauthenticated attackers to execute arbitrary code via a crafted excel file. Successful exploitation can lead to impacts such as client-sided command injection, code execution, or remote ex-filtration of contained confidential data. PatchesUpdate to version 3.3.9 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/4e0105c3a78d20686a0c010faef27d2297b98803.patch WorkaroundsApply patch https://github.com/pimcore/customer-data-framework/commit/4e0105c3a78d20686a0c010faef27d2297b98803.patch manually. Referenceshttps://huntr.dev/bounties/821ff465-4754-42d1-9376-813c17f16a01/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 126 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
Fixed in
3.3.9
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-32075
GHSA-x99j-r8vv-gwwj
May 11, 2023
Pimcore vulnerable to Business Logic Errors via Customer automation rules
4.3
/ 10
Medium
Network
Low
Low
None
Unchanged
None
Low
None
ImpactBusiness Logic Errors in the Conditions tab since the counter can be a negative number. This vulnerability is capable of the unlogic in the counter value in the Conditions tab. PatchesUpdate to version 3.3.9 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/e3f333391582d9309115e6b94e875367d0ea7163.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/e3f333391582d9309115e6b94e875367d0ea7163.patch manually. Referenceshttps://huntr.dev/bounties/cecd7800-a996-4f3a-8689-e1c2a1e0248a/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 126 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
Fixed in
3.3.9
References
Updated Sep 10, 2026 · Source: OSV.dev | ||
v3.2.7
patch
9 CVEs
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21667
GHSA-g273-wppx-82w4
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access GDPR extracts
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the GDPR data extraction feature and query over the information returned, leading to customer data exposure. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed:
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21666
GHSA-c38c-c8mh-vq68
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access customers duplicates list
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the list of potential duplicate users and see their data. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed :
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-4145
GHSA-735f-w79p-282x
Aug 03, 2023
pimcore/customer-management-framework-bundle Cross-site Scripting vulnerability in Segment name
6.5
/ 10
Medium
Network
Low
Low
Required
Changed
Low
Low
Low
ImpactAs HTML injection works in email an attacker can trick a victim to click on such hyperlinks to redirect him to any malicious site and also can host a XSS page. All this will surely cause some damage to the victim. This could lead to users being tricked into giving logins away to malicious attackers. PatchesUpdate to version 3.4.2 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch manually. Referenceshttps://huntr.dev/bounties/ce852777-2994-40b4-bb4e-c4d10023eeb0/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 130 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
Fixed in
3.4.2
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-3574
GHSA-vx35-f379-4q49
Jul 10, 2023
Pimcore Customer Management Framework vulnerable to Improper Authorization in Rules Controller
6.5
/ 10
Medium
Network
Low
None
None
Unchanged
Low
Low
None
ImpactThe product performs authorization checks incorrectly when an unauthorized actor tries to access a resource or perform an actions. The attacker can view and freely perform actions to add, modify, or delete rules. PatchesUpdate to version 3.4.1 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch manually. Referenceshttps://huntr.dev/bounties/1dcb4f01-e668-4aa3-a6a3-838532e500c6/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 129 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
Fixed in
3.4.1
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2881
GHSA-j65r-g7q2-f8v3
May 25, 2023
Pimcore customers' list user password hash is disclosed
6.7
/ 10
Medium
Network
Low
High
None
Unchanged
High
Low
High
ImpactThe customer view exposes the hashed password along with other deails. An attacker is then able to enum password of a particular id, likewise we can replace id with other user , for example 1015, password hash can be disclosed which can be further cracked with hashcat PatchesUpdate to version 3.3.10 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/d1d58c10313f080737dc1e71fab3beb12488a1e6.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/d1d58c10313f080737dc1e71fab3beb12488a1e6.patch manually. Referenceshttps://huntr.dev/bounties/db6c32f4-742e-4262-8fd5-cefd0f133416/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 127 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
Fixed in
3.3.10
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2756
GHSA-25fx-3c2q-cq46
May 17, 2023
pimcore/customer-management-framework-bundle has SQL Injection vulnerability in Segment Assignment query
7.2
/ 10
High
Network
Low
High
None
Unchanged
High
High
High
ImpactAn administrator user can use the inheritable segments feature to execute his own blind SQL queries. A user with administrator privileges can run any SQL query on database. This can be used to retrieve sensitive data, change database information or any other malicious activity against the database. PatchesUpdate to version 3.3.10 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/76df151737b7964ce5169fdf9e27a0ad801757fe.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/76df151737b7964ce5169fdf9e27a0ad801757fe.patch manually. Referenceshttps://huntr.dev/bounties/cf398528-819f-456e-88e7-c06d268d3f44/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 127 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
Fixed in
3.3.10
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2629
GHSA-mq3x-qgwx-3rfw
May 11, 2023
Embedding untrusted input inside CSV files leads to Formula Injection/CSV Injection
7.8
/ 10
High
Local
Low
None
Required
Unchanged
High
High
High
ImpactThe pimcore application is vulnerable to Formula Injection/CSV Injection via the Firstname, Lastname, Street, Zip & City input fields. These vulnerabilities allow unauthenticated attackers to execute arbitrary code via a crafted excel file. Successful exploitation can lead to impacts such as client-sided command injection, code execution, or remote ex-filtration of contained confidential data. PatchesUpdate to version 3.3.9 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/4e0105c3a78d20686a0c010faef27d2297b98803.patch WorkaroundsApply patch https://github.com/pimcore/customer-data-framework/commit/4e0105c3a78d20686a0c010faef27d2297b98803.patch manually. Referenceshttps://huntr.dev/bounties/821ff465-4754-42d1-9376-813c17f16a01/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 126 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
Fixed in
3.3.9
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-32075
GHSA-x99j-r8vv-gwwj
May 11, 2023
Pimcore vulnerable to Business Logic Errors via Customer automation rules
4.3
/ 10
Medium
Network
Low
Low
None
Unchanged
None
Low
None
ImpactBusiness Logic Errors in the Conditions tab since the counter can be a negative number. This vulnerability is capable of the unlogic in the counter value in the Conditions tab. PatchesUpdate to version 3.3.9 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/e3f333391582d9309115e6b94e875367d0ea7163.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/e3f333391582d9309115e6b94e875367d0ea7163.patch manually. Referenceshttps://huntr.dev/bounties/cecd7800-a996-4f3a-8689-e1c2a1e0248a/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 126 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
Fixed in
3.3.9
References
Updated Sep 10, 2026 · Source: OSV.dev |
v3.2.7
patch
Dependencies (25)
+ 17 more
Changelog
Compare changes
|
|
v3.2.6
patch
9 CVEs
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21667
GHSA-g273-wppx-82w4
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access GDPR extracts
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the GDPR data extraction feature and query over the information returned, leading to customer data exposure. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed:
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21666
GHSA-c38c-c8mh-vq68
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access customers duplicates list
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the list of potential duplicate users and see their data. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed :
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-4145
GHSA-735f-w79p-282x
Aug 03, 2023
pimcore/customer-management-framework-bundle Cross-site Scripting vulnerability in Segment name
6.5
/ 10
Medium
Network
Low
Low
Required
Changed
Low
Low
Low
ImpactAs HTML injection works in email an attacker can trick a victim to click on such hyperlinks to redirect him to any malicious site and also can host a XSS page. All this will surely cause some damage to the victim. This could lead to users being tricked into giving logins away to malicious attackers. PatchesUpdate to version 3.4.2 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch manually. Referenceshttps://huntr.dev/bounties/ce852777-2994-40b4-bb4e-c4d10023eeb0/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 130 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
Fixed in
3.4.2
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-3574
GHSA-vx35-f379-4q49
Jul 10, 2023
Pimcore Customer Management Framework vulnerable to Improper Authorization in Rules Controller
6.5
/ 10
Medium
Network
Low
None
None
Unchanged
Low
Low
None
ImpactThe product performs authorization checks incorrectly when an unauthorized actor tries to access a resource or perform an actions. The attacker can view and freely perform actions to add, modify, or delete rules. PatchesUpdate to version 3.4.1 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch manually. Referenceshttps://huntr.dev/bounties/1dcb4f01-e668-4aa3-a6a3-838532e500c6/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 129 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
Fixed in
3.4.1
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2881
GHSA-j65r-g7q2-f8v3
May 25, 2023
Pimcore customers' list user password hash is disclosed
6.7
/ 10
Medium
Network
Low
High
None
Unchanged
High
Low
High
ImpactThe customer view exposes the hashed password along with other deails. An attacker is then able to enum password of a particular id, likewise we can replace id with other user , for example 1015, password hash can be disclosed which can be further cracked with hashcat PatchesUpdate to version 3.3.10 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/d1d58c10313f080737dc1e71fab3beb12488a1e6.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/d1d58c10313f080737dc1e71fab3beb12488a1e6.patch manually. Referenceshttps://huntr.dev/bounties/db6c32f4-742e-4262-8fd5-cefd0f133416/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 127 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
Fixed in
3.3.10
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2756
GHSA-25fx-3c2q-cq46
May 17, 2023
pimcore/customer-management-framework-bundle has SQL Injection vulnerability in Segment Assignment query
7.2
/ 10
High
Network
Low
High
None
Unchanged
High
High
High
ImpactAn administrator user can use the inheritable segments feature to execute his own blind SQL queries. A user with administrator privileges can run any SQL query on database. This can be used to retrieve sensitive data, change database information or any other malicious activity against the database. PatchesUpdate to version 3.3.10 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/76df151737b7964ce5169fdf9e27a0ad801757fe.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/76df151737b7964ce5169fdf9e27a0ad801757fe.patch manually. Referenceshttps://huntr.dev/bounties/cf398528-819f-456e-88e7-c06d268d3f44/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 127 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
Fixed in
3.3.10
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2629
GHSA-mq3x-qgwx-3rfw
May 11, 2023
Embedding untrusted input inside CSV files leads to Formula Injection/CSV Injection
7.8
/ 10
High
Local
Low
None
Required
Unchanged
High
High
High
ImpactThe pimcore application is vulnerable to Formula Injection/CSV Injection via the Firstname, Lastname, Street, Zip & City input fields. These vulnerabilities allow unauthenticated attackers to execute arbitrary code via a crafted excel file. Successful exploitation can lead to impacts such as client-sided command injection, code execution, or remote ex-filtration of contained confidential data. PatchesUpdate to version 3.3.9 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/4e0105c3a78d20686a0c010faef27d2297b98803.patch WorkaroundsApply patch https://github.com/pimcore/customer-data-framework/commit/4e0105c3a78d20686a0c010faef27d2297b98803.patch manually. Referenceshttps://huntr.dev/bounties/821ff465-4754-42d1-9376-813c17f16a01/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 126 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
Fixed in
3.3.9
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-32075
GHSA-x99j-r8vv-gwwj
May 11, 2023
Pimcore vulnerable to Business Logic Errors via Customer automation rules
4.3
/ 10
Medium
Network
Low
Low
None
Unchanged
None
Low
None
ImpactBusiness Logic Errors in the Conditions tab since the counter can be a negative number. This vulnerability is capable of the unlogic in the counter value in the Conditions tab. PatchesUpdate to version 3.3.9 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/e3f333391582d9309115e6b94e875367d0ea7163.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/e3f333391582d9309115e6b94e875367d0ea7163.patch manually. Referenceshttps://huntr.dev/bounties/cecd7800-a996-4f3a-8689-e1c2a1e0248a/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 126 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
Fixed in
3.3.9
References
Updated Sep 10, 2026 · Source: OSV.dev | ||
v3.2.5
patch
9 CVEs
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21667
GHSA-g273-wppx-82w4
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access GDPR extracts
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the GDPR data extraction feature and query over the information returned, leading to customer data exposure. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed:
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21666
GHSA-c38c-c8mh-vq68
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access customers duplicates list
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the list of potential duplicate users and see their data. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed :
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-4145
GHSA-735f-w79p-282x
Aug 03, 2023
pimcore/customer-management-framework-bundle Cross-site Scripting vulnerability in Segment name
6.5
/ 10
Medium
Network
Low
Low
Required
Changed
Low
Low
Low
ImpactAs HTML injection works in email an attacker can trick a victim to click on such hyperlinks to redirect him to any malicious site and also can host a XSS page. All this will surely cause some damage to the victim. This could lead to users being tricked into giving logins away to malicious attackers. PatchesUpdate to version 3.4.2 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch manually. Referenceshttps://huntr.dev/bounties/ce852777-2994-40b4-bb4e-c4d10023eeb0/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 130 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
Fixed in
3.4.2
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-3574
GHSA-vx35-f379-4q49
Jul 10, 2023
Pimcore Customer Management Framework vulnerable to Improper Authorization in Rules Controller
6.5
/ 10
Medium
Network
Low
None
None
Unchanged
Low
Low
None
ImpactThe product performs authorization checks incorrectly when an unauthorized actor tries to access a resource or perform an actions. The attacker can view and freely perform actions to add, modify, or delete rules. PatchesUpdate to version 3.4.1 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch manually. Referenceshttps://huntr.dev/bounties/1dcb4f01-e668-4aa3-a6a3-838532e500c6/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 129 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
Fixed in
3.4.1
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2881
GHSA-j65r-g7q2-f8v3
May 25, 2023
Pimcore customers' list user password hash is disclosed
6.7
/ 10
Medium
Network
Low
High
None
Unchanged
High
Low
High
ImpactThe customer view exposes the hashed password along with other deails. An attacker is then able to enum password of a particular id, likewise we can replace id with other user , for example 1015, password hash can be disclosed which can be further cracked with hashcat PatchesUpdate to version 3.3.10 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/d1d58c10313f080737dc1e71fab3beb12488a1e6.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/d1d58c10313f080737dc1e71fab3beb12488a1e6.patch manually. Referenceshttps://huntr.dev/bounties/db6c32f4-742e-4262-8fd5-cefd0f133416/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 127 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
Fixed in
3.3.10
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2756
GHSA-25fx-3c2q-cq46
May 17, 2023
pimcore/customer-management-framework-bundle has SQL Injection vulnerability in Segment Assignment query
7.2
/ 10
High
Network
Low
High
None
Unchanged
High
High
High
ImpactAn administrator user can use the inheritable segments feature to execute his own blind SQL queries. A user with administrator privileges can run any SQL query on database. This can be used to retrieve sensitive data, change database information or any other malicious activity against the database. PatchesUpdate to version 3.3.10 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/76df151737b7964ce5169fdf9e27a0ad801757fe.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/76df151737b7964ce5169fdf9e27a0ad801757fe.patch manually. Referenceshttps://huntr.dev/bounties/cf398528-819f-456e-88e7-c06d268d3f44/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 127 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
Fixed in
3.3.10
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2629
GHSA-mq3x-qgwx-3rfw
May 11, 2023
Embedding untrusted input inside CSV files leads to Formula Injection/CSV Injection
7.8
/ 10
High
Local
Low
None
Required
Unchanged
High
High
High
ImpactThe pimcore application is vulnerable to Formula Injection/CSV Injection via the Firstname, Lastname, Street, Zip & City input fields. These vulnerabilities allow unauthenticated attackers to execute arbitrary code via a crafted excel file. Successful exploitation can lead to impacts such as client-sided command injection, code execution, or remote ex-filtration of contained confidential data. PatchesUpdate to version 3.3.9 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/4e0105c3a78d20686a0c010faef27d2297b98803.patch WorkaroundsApply patch https://github.com/pimcore/customer-data-framework/commit/4e0105c3a78d20686a0c010faef27d2297b98803.patch manually. Referenceshttps://huntr.dev/bounties/821ff465-4754-42d1-9376-813c17f16a01/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 126 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
Fixed in
3.3.9
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-32075
GHSA-x99j-r8vv-gwwj
May 11, 2023
Pimcore vulnerable to Business Logic Errors via Customer automation rules
4.3
/ 10
Medium
Network
Low
Low
None
Unchanged
None
Low
None
ImpactBusiness Logic Errors in the Conditions tab since the counter can be a negative number. This vulnerability is capable of the unlogic in the counter value in the Conditions tab. PatchesUpdate to version 3.3.9 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/e3f333391582d9309115e6b94e875367d0ea7163.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/e3f333391582d9309115e6b94e875367d0ea7163.patch manually. Referenceshttps://huntr.dev/bounties/cecd7800-a996-4f3a-8689-e1c2a1e0248a/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 126 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
Fixed in
3.3.9
References
Updated Sep 10, 2026 · Source: OSV.dev | ||
v3.2.4
patch
9 CVEs
CVE-2024-11956
GHSA-q53r-9hh9-w277
Jan 28, 2025
pimcore/customer-data-framework vulnerable to SQL Injection
Medium
Network
Low
High
None
An SQL injection vulnerability allows any authenticated user to execute arbitrary SQL commands on the server. This can lead to unauthorized access to sensitive data, data modification, or even complete control over the server. Details The vulnerability is found in the URL parameters of the following endpoint:
The parameters filterDefinition and filter are vulnerable to SQL injection. When a specially crafted input is provided, it results in an SQL error, indicating that the input is being directly used in an SQL query without proper sanitization. PoC To reproduce the vulnerability, follow these steps: Open a web browser or a tool like curl or Postman. Authenticate with valid user credentials. Navigate to the following URL with the vulnerable parameters:
Impact This is an SQL injection vulnerability. It impacts any authenticated user who can access the affected endpoint. An attacker can exploit this vulnerability to execute arbitrary SQL commands, potentially leading to data breaches, data loss, or full server compromise. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 153 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
v4.0.6
v4.0.7
v4.0.8
v4.1.0
v4.1.1
v4.1.2
v4.2.0
v4.2.0-RC1
Fixed in
4.2.1
References Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21667
GHSA-g273-wppx-82w4
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access GDPR extracts
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the GDPR data extraction feature and query over the information returned, leading to customer data exposure. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed:
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2024-21666
GHSA-c38c-c8mh-vq68
Jan 10, 2024
Pimcore Customer Data Framework Improper Access Control allows unprivileged user to access customers duplicates list
6.5
/ 10
Medium
Network
Low
Low
None
Unchanged
High
None
None
SummaryAn authenticated and unauthorized user can access the list of potential duplicate users and see their data. DetailsPermissions do not seem to be enforced when reaching the PoCIn order to reproduce the issue, the following steps can be followed :
ImpactAn unauthorized user can access PII data from customers without being authorized to. Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 145 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
v3.4.2
v3.4.3
v3.4.4
v3.4.5
v3.4.6
v4.0.0
v4.0.0-BETA1
v4.0.0-BETA2
v4.0.0-RC1
v4.0.0-RC2
v4.0.1
v4.0.2
v4.0.3
v4.0.4
v4.0.5
Fixed in
4.0.6
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-4145
GHSA-735f-w79p-282x
Aug 03, 2023
pimcore/customer-management-framework-bundle Cross-site Scripting vulnerability in Segment name
6.5
/ 10
Medium
Network
Low
Low
Required
Changed
Low
Low
Low
ImpactAs HTML injection works in email an attacker can trick a victim to click on such hyperlinks to redirect him to any malicious site and also can host a XSS page. All this will surely cause some damage to the victim. This could lead to users being tricked into giving logins away to malicious attackers. PatchesUpdate to version 3.4.2 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/72f45dd537a706954e7a71c99fbe318640e846a2.patch manually. Referenceshttps://huntr.dev/bounties/ce852777-2994-40b4-bb4e-c4d10023eeb0/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 130 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
v3.4.1
Fixed in
3.4.2
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-3574
GHSA-vx35-f379-4q49
Jul 10, 2023
Pimcore Customer Management Framework vulnerable to Improper Authorization in Rules Controller
6.5
/ 10
Medium
Network
Low
None
None
Unchanged
Low
Low
None
ImpactThe product performs authorization checks incorrectly when an unauthorized actor tries to access a resource or perform an actions. The attacker can view and freely perform actions to add, modify, or delete rules. PatchesUpdate to version 3.4.1 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/f15668c86db254e86ba7ac895bc3cdd1a2a3cc45.patch manually. Referenceshttps://huntr.dev/bounties/1dcb4f01-e668-4aa3-a6a3-838532e500c6/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 129 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.10
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
v3.4.0
Fixed in
3.4.1
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2881
GHSA-j65r-g7q2-f8v3
May 25, 2023
Pimcore customers' list user password hash is disclosed
6.7
/ 10
Medium
Network
Low
High
None
Unchanged
High
Low
High
ImpactThe customer view exposes the hashed password along with other deails. An attacker is then able to enum password of a particular id, likewise we can replace id with other user , for example 1015, password hash can be disclosed which can be further cracked with hashcat PatchesUpdate to version 3.3.10 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/d1d58c10313f080737dc1e71fab3beb12488a1e6.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/d1d58c10313f080737dc1e71fab3beb12488a1e6.patch manually. Referenceshttps://huntr.dev/bounties/db6c32f4-742e-4262-8fd5-cefd0f133416/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 127 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
Fixed in
3.3.10
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2756
GHSA-25fx-3c2q-cq46
May 17, 2023
pimcore/customer-management-framework-bundle has SQL Injection vulnerability in Segment Assignment query
7.2
/ 10
High
Network
Low
High
None
Unchanged
High
High
High
ImpactAn administrator user can use the inheritable segments feature to execute his own blind SQL queries. A user with administrator privileges can run any SQL query on database. This can be used to retrieve sensitive data, change database information or any other malicious activity against the database. PatchesUpdate to version 3.3.10 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/76df151737b7964ce5169fdf9e27a0ad801757fe.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/76df151737b7964ce5169fdf9e27a0ad801757fe.patch manually. Referenceshttps://huntr.dev/bounties/cf398528-819f-456e-88e7-c06d268d3f44/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 127 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
v3.3.9
Fixed in
3.3.10
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-2629
GHSA-mq3x-qgwx-3rfw
May 11, 2023
Embedding untrusted input inside CSV files leads to Formula Injection/CSV Injection
7.8
/ 10
High
Local
Low
None
Required
Unchanged
High
High
High
ImpactThe pimcore application is vulnerable to Formula Injection/CSV Injection via the Firstname, Lastname, Street, Zip & City input fields. These vulnerabilities allow unauthenticated attackers to execute arbitrary code via a crafted excel file. Successful exploitation can lead to impacts such as client-sided command injection, code execution, or remote ex-filtration of contained confidential data. PatchesUpdate to version 3.3.9 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/4e0105c3a78d20686a0c010faef27d2297b98803.patch WorkaroundsApply patch https://github.com/pimcore/customer-data-framework/commit/4e0105c3a78d20686a0c010faef27d2297b98803.patch manually. Referenceshttps://huntr.dev/bounties/821ff465-4754-42d1-9376-813c17f16a01/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 126 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
Fixed in
3.3.9
References
Updated Sep 10, 2026 · Source: OSV.dev
CVE-2023-32075
GHSA-x99j-r8vv-gwwj
May 11, 2023
Pimcore vulnerable to Business Logic Errors via Customer automation rules
4.3
/ 10
Medium
Network
Low
Low
None
Unchanged
None
Low
None
ImpactBusiness Logic Errors in the Conditions tab since the counter can be a negative number. This vulnerability is capable of the unlogic in the counter value in the Conditions tab. PatchesUpdate to version 3.3.9 or apply this patch manually https://github.com/pimcore/customer-data-framework/commit/e3f333391582d9309115e6b94e875367d0ea7163.patch WorkaroundsApply https://github.com/pimcore/customer-data-framework/commit/e3f333391582d9309115e6b94e875367d0ea7163.patch manually. Referenceshttps://huntr.dev/bounties/cecd7800-a996-4f3a-8689-e1c2a1e0248a/ Affected versions
1.3.17
2.4.5
v1.0.0
v1.0.1
v1.1.0
v1.1.1
v1.10.0
v1.10.1
v1.11.0
v1.12.0
v1.12.1
v1.13.0
+ 126 more Show less
v1.13.1
v1.14.0
v1.14.1
v1.14.2
v1.14.3
v1.14.4
v1.2.0
v1.2.1
v1.2.2
v1.2.3
v1.2.4
v1.2.5
v1.2.6
v1.3.0
v1.3.1
v1.3.10
v1.3.11
v1.3.12
v1.3.13
v1.3.14
v1.3.15
v1.3.16
v1.3.18
v1.3.19
v1.3.2
v1.3.20
v1.3.21
v1.3.3
v1.3.4
v1.3.5
v1.3.6
v1.3.7
v1.3.8
v1.3.9
v1.4.0
v1.4.1
v1.4.10
v1.4.11
v1.4.12
v1.4.2
v1.4.3
v1.4.4
v1.4.5
v1.4.6
v1.4.7
v1.4.8
v1.4.9
v1.5.0
v1.5.1
v1.5.2
v1.5.3
v1.5.4
v1.5.5
v1.6.0
v1.6.1
v1.6.2
v1.6.3
v1.6.4
v1.6.5
v1.6.6
v1.6.7
v1.7.0
v1.7.1
v1.7.2
v1.7.3
v1.7.4
v1.8.0
v1.9.0
v1.9.1
v2.0.0
v2.0.1
v2.1.0
v2.2.0
v2.2.1
v2.3.0
v2.3.1
v2.3.2
v2.3.3
v2.4.0
v2.4.1
v2.4.2
v2.4.3
v2.4.4
v2.4.6
v2.4.7
v2.5.0
v2.5.1
v2.5.2
v2.5.3
v2.5.4
v2.5.5
v2.5.6
v2.5.7
v2.6.0
v2.6.1
v2.6.2
v3.0.0
v3.0.1
v3.0.2
v3.0.3
v3.1.0
v3.1.1
v3.2.0
v3.2.1
v3.2.10
v3.2.11
v3.2.12
v3.2.13
v3.2.14
v3.2.2
v3.2.3
v3.2.4
v3.2.5
v3.2.6
v3.2.7
v3.2.8
v3.2.9
v3.3.0
v3.3.1
v3.3.2
v3.3.3
v3.3.4
v3.3.5
v3.3.6
v3.3.7
v3.3.8
Fixed in
3.3.9
References
Updated Sep 10, 2026 · Source: OSV.dev |