sagemaker
A library for training and deploying machine learning models on Amazon SageMaker
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Activity
- Latest release
- 14h ago
- Total releases
- 698
- Cadence
- ~6 days
- Last 12 months
- 51
Reach
- Stars
- 2.3k
Details
- License
- Apache-2.0
- First release
- Nov 30, 2017
| Version | Released | |
|---|---|---|
3.28.0
minor
| ||
3.27.0
minor
| ||
3.26.0
minor
| ||
3.25.0
minor
| ||
2.257.7
patch
| ||
3.24.0
minor
| ||
3.23.0
minor
| ||
3.22.1
patch
| ||
3.22.0
minor
| ||
3.21.0
minor
| ||
3.20.0
minor
| ||
3.19.0
minor
| ||
2.257.6
patch
| ||
3.18.0
minor
| ||
3.17.0
minor
| ||
3.16.0
minor
| ||
2.257.5
patch
| ||
2.257.4
patch
| ||
3.15.1
patch
| ||
3.15.0
minor
| ||
3.14.0
minor
| ||
3.13.1
patch
| ||
3.13.0
minor
| ||
3.12.0
minor
| ||
3.11.0
minor
| ||
3.10.1
patch
| ||
2.257.3
patch
| ||
3.10.0
minor
| ||
3.9.0
minor
| ||
2.257.2
patch
| ||
3.8.0
minor
| ||
3.7.1
patch
2 CVEs
CVE-2026-8597
PYSEC-2026-3060
GHSA-rq6v-x3j8-7qgf
Jul 13, 2026
Amazon SageMaker Python SDK is missing integrity verification in its Triton inference handler
Low
Network
Low
High
None
SummaryAmazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the Triton inference handler deserializes model artifacts without performing integrity verification, allowing specially crafted pickle payloads to execute arbitrary code. ImpactWhen using ModelBuilder with the Triton inference server, the Triton handler did not perform integrity verification before deserializing model artifacts. A remote authenticated actor with S3 write access to the model artifact path could replace model files with a crafted payload that would execute automatically on the next container lifecycle event, achieving code execution with the SageMaker execution role's IAM permissions. Impacted versions: >= v2.199.0 AND <= v2.257.1, >= v3.0.0 AND <= v3.7.1 PatchesThis issue has been addressed in Amazon SageMaker Python SDK v2.257.2 and v3.8.0. The Triton inference handler now performs integrity verification before deserializing model artifacts. AWS recommend upgrading to the latest version and rebuilding any Triton models previously created with ModelBuilder using the updated SDK. Ensure any forked or derivative code is patched to incorporate the new fixes. WorkaroundsIf upgrading is not immediately possible, users should restrict S3 write access to model artifact paths to only trusted principals and monitor for unintended modifications to files in model artifact S3 locations. ReferencesIf there any questions or comments about this advisory, contact AWS Security via vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
2.199.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
+ 102 more Show less
2.207.1
2.208.0
2.209.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.256.0
2.256.1
2.257.0
2.257.1
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
3.4.0
3.4.1
3.5.0
3.6.0
3.7.0
3.7.1
Fixed in
2.257.2
3.8.0
References
Updated Jul 13, 2026 · Source: OSV.dev
CVE-2026-8596
PYSEC-2026-3059
GHSA-7hh5-prp2-mfh5
Jul 13, 2026
Cleartext storage of HMAC signing key in Amazon SageMaker Python SDK ModelBuilder/Serve path
High
Network
Low
High
None
SummaryAmazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the ModelBuilder/Serve component stores an HMAC signing key in cleartext as a container environment variable, which is returned in plaintext by SageMaker describe APIs. ImpactWhen using ModelBuilder to build and deploy models with affected model servers (TorchServe, Multi-Model Server, TensorFlow Serving, SMD, or Triton), the SDK generates an HMAC secret key for model artifact integrity verification and stores it as the SAGEMAKER_SERVE_SECRET_KEY environment variable in the SageMaker model container configuration. This environment variable is returned in plaintext by the DescribeModel, DescribeEndpointConfig, and DescribeModelPackage APIs. A remote authenticated actor with permissions to call these describe APIs and S3 write access to the model artifact path could extract the key, forge valid integrity signatures for specially crafted model artifacts, and achieve code execution in inference containers with the SageMaker execution role's IAM permissions. Impacted versions: >= v2.199.0 AND <= v2.257.1, >= v3.0.0 AND <= v3.7.1 PatchesThis issue has been addressed in Amazon SageMaker Python SDK v2.257.2 and v3.8.0. AWS recommend upgrading to the latest version and rebuilding any models previously created with ModelBuilder using the updated SDK. Models created with affected versions may still have the HMAC key stored in their container environment variables until they are rebuilt with the patched SDK. Ensure any forked or derivative code is patched to incorporate the new fixes. WorkaroundsIf upgrading is not immediately possible, users can manually remove the SAGEMAKER_SERVE_SECRET_KEY environment variable from existing SageMaker models by recreating the model without this variable in the container environment configuration. ReferencesIf there any questions or comments about this advisory, contact AWS Security via the vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
2.199.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
+ 102 more Show less
2.207.1
2.208.0
2.209.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.256.0
2.256.1
2.257.0
2.257.1
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
3.4.0
3.4.1
3.5.0
3.6.0
3.7.0
3.7.1
Fixed in
2.257.2
3.8.0
References
Updated Jul 13, 2026 · Source: OSV.dev | ||
3.7.0
minor
2 CVEs
CVE-2026-8597
PYSEC-2026-3060
GHSA-rq6v-x3j8-7qgf
Jul 13, 2026
Amazon SageMaker Python SDK is missing integrity verification in its Triton inference handler
Low
Network
Low
High
None
SummaryAmazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the Triton inference handler deserializes model artifacts without performing integrity verification, allowing specially crafted pickle payloads to execute arbitrary code. ImpactWhen using ModelBuilder with the Triton inference server, the Triton handler did not perform integrity verification before deserializing model artifacts. A remote authenticated actor with S3 write access to the model artifact path could replace model files with a crafted payload that would execute automatically on the next container lifecycle event, achieving code execution with the SageMaker execution role's IAM permissions. Impacted versions: >= v2.199.0 AND <= v2.257.1, >= v3.0.0 AND <= v3.7.1 PatchesThis issue has been addressed in Amazon SageMaker Python SDK v2.257.2 and v3.8.0. The Triton inference handler now performs integrity verification before deserializing model artifacts. AWS recommend upgrading to the latest version and rebuilding any Triton models previously created with ModelBuilder using the updated SDK. Ensure any forked or derivative code is patched to incorporate the new fixes. WorkaroundsIf upgrading is not immediately possible, users should restrict S3 write access to model artifact paths to only trusted principals and monitor for unintended modifications to files in model artifact S3 locations. ReferencesIf there any questions or comments about this advisory, contact AWS Security via vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
2.199.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
+ 102 more Show less
2.207.1
2.208.0
2.209.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.256.0
2.256.1
2.257.0
2.257.1
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
3.4.0
3.4.1
3.5.0
3.6.0
3.7.0
3.7.1
Fixed in
2.257.2
3.8.0
References
Updated Jul 13, 2026 · Source: OSV.dev
CVE-2026-8596
PYSEC-2026-3059
GHSA-7hh5-prp2-mfh5
Jul 13, 2026
Cleartext storage of HMAC signing key in Amazon SageMaker Python SDK ModelBuilder/Serve path
High
Network
Low
High
None
SummaryAmazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the ModelBuilder/Serve component stores an HMAC signing key in cleartext as a container environment variable, which is returned in plaintext by SageMaker describe APIs. ImpactWhen using ModelBuilder to build and deploy models with affected model servers (TorchServe, Multi-Model Server, TensorFlow Serving, SMD, or Triton), the SDK generates an HMAC secret key for model artifact integrity verification and stores it as the SAGEMAKER_SERVE_SECRET_KEY environment variable in the SageMaker model container configuration. This environment variable is returned in plaintext by the DescribeModel, DescribeEndpointConfig, and DescribeModelPackage APIs. A remote authenticated actor with permissions to call these describe APIs and S3 write access to the model artifact path could extract the key, forge valid integrity signatures for specially crafted model artifacts, and achieve code execution in inference containers with the SageMaker execution role's IAM permissions. Impacted versions: >= v2.199.0 AND <= v2.257.1, >= v3.0.0 AND <= v3.7.1 PatchesThis issue has been addressed in Amazon SageMaker Python SDK v2.257.2 and v3.8.0. AWS recommend upgrading to the latest version and rebuilding any models previously created with ModelBuilder using the updated SDK. Models created with affected versions may still have the HMAC key stored in their container environment variables until they are rebuilt with the patched SDK. Ensure any forked or derivative code is patched to incorporate the new fixes. WorkaroundsIf upgrading is not immediately possible, users can manually remove the SAGEMAKER_SERVE_SECRET_KEY environment variable from existing SageMaker models by recreating the model without this variable in the container environment configuration. ReferencesIf there any questions or comments about this advisory, contact AWS Security via the vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
2.199.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
+ 102 more Show less
2.207.1
2.208.0
2.209.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.256.0
2.256.1
2.257.0
2.257.1
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
3.4.0
3.4.1
3.5.0
3.6.0
3.7.0
3.7.1
Fixed in
2.257.2
3.8.0
References
Updated Jul 13, 2026 · Source: OSV.dev | ||
3.6.0
minor
2 CVEs
CVE-2026-8597
PYSEC-2026-3060
GHSA-rq6v-x3j8-7qgf
Jul 13, 2026
Amazon SageMaker Python SDK is missing integrity verification in its Triton inference handler
Low
Network
Low
High
None
SummaryAmazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the Triton inference handler deserializes model artifacts without performing integrity verification, allowing specially crafted pickle payloads to execute arbitrary code. ImpactWhen using ModelBuilder with the Triton inference server, the Triton handler did not perform integrity verification before deserializing model artifacts. A remote authenticated actor with S3 write access to the model artifact path could replace model files with a crafted payload that would execute automatically on the next container lifecycle event, achieving code execution with the SageMaker execution role's IAM permissions. Impacted versions: >= v2.199.0 AND <= v2.257.1, >= v3.0.0 AND <= v3.7.1 PatchesThis issue has been addressed in Amazon SageMaker Python SDK v2.257.2 and v3.8.0. The Triton inference handler now performs integrity verification before deserializing model artifacts. AWS recommend upgrading to the latest version and rebuilding any Triton models previously created with ModelBuilder using the updated SDK. Ensure any forked or derivative code is patched to incorporate the new fixes. WorkaroundsIf upgrading is not immediately possible, users should restrict S3 write access to model artifact paths to only trusted principals and monitor for unintended modifications to files in model artifact S3 locations. ReferencesIf there any questions or comments about this advisory, contact AWS Security via vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
2.199.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
+ 102 more Show less
2.207.1
2.208.0
2.209.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.256.0
2.256.1
2.257.0
2.257.1
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
3.4.0
3.4.1
3.5.0
3.6.0
3.7.0
3.7.1
Fixed in
2.257.2
3.8.0
References
Updated Jul 13, 2026 · Source: OSV.dev
CVE-2026-8596
PYSEC-2026-3059
GHSA-7hh5-prp2-mfh5
Jul 13, 2026
Cleartext storage of HMAC signing key in Amazon SageMaker Python SDK ModelBuilder/Serve path
High
Network
Low
High
None
SummaryAmazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the ModelBuilder/Serve component stores an HMAC signing key in cleartext as a container environment variable, which is returned in plaintext by SageMaker describe APIs. ImpactWhen using ModelBuilder to build and deploy models with affected model servers (TorchServe, Multi-Model Server, TensorFlow Serving, SMD, or Triton), the SDK generates an HMAC secret key for model artifact integrity verification and stores it as the SAGEMAKER_SERVE_SECRET_KEY environment variable in the SageMaker model container configuration. This environment variable is returned in plaintext by the DescribeModel, DescribeEndpointConfig, and DescribeModelPackage APIs. A remote authenticated actor with permissions to call these describe APIs and S3 write access to the model artifact path could extract the key, forge valid integrity signatures for specially crafted model artifacts, and achieve code execution in inference containers with the SageMaker execution role's IAM permissions. Impacted versions: >= v2.199.0 AND <= v2.257.1, >= v3.0.0 AND <= v3.7.1 PatchesThis issue has been addressed in Amazon SageMaker Python SDK v2.257.2 and v3.8.0. AWS recommend upgrading to the latest version and rebuilding any models previously created with ModelBuilder using the updated SDK. Models created with affected versions may still have the HMAC key stored in their container environment variables until they are rebuilt with the patched SDK. Ensure any forked or derivative code is patched to incorporate the new fixes. WorkaroundsIf upgrading is not immediately possible, users can manually remove the SAGEMAKER_SERVE_SECRET_KEY environment variable from existing SageMaker models by recreating the model without this variable in the container environment configuration. ReferencesIf there any questions or comments about this advisory, contact AWS Security via the vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
2.199.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
+ 102 more Show less
2.207.1
2.208.0
2.209.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.256.0
2.256.1
2.257.0
2.257.1
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
3.4.0
3.4.1
3.5.0
3.6.0
3.7.0
3.7.1
Fixed in
2.257.2
3.8.0
References
Updated Jul 13, 2026 · Source: OSV.dev | ||
2.257.1
patch
2 CVEs
CVE-2026-8597
PYSEC-2026-3060
GHSA-rq6v-x3j8-7qgf
Jul 13, 2026
Amazon SageMaker Python SDK is missing integrity verification in its Triton inference handler
Low
Network
Low
High
None
SummaryAmazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the Triton inference handler deserializes model artifacts without performing integrity verification, allowing specially crafted pickle payloads to execute arbitrary code. ImpactWhen using ModelBuilder with the Triton inference server, the Triton handler did not perform integrity verification before deserializing model artifacts. A remote authenticated actor with S3 write access to the model artifact path could replace model files with a crafted payload that would execute automatically on the next container lifecycle event, achieving code execution with the SageMaker execution role's IAM permissions. Impacted versions: >= v2.199.0 AND <= v2.257.1, >= v3.0.0 AND <= v3.7.1 PatchesThis issue has been addressed in Amazon SageMaker Python SDK v2.257.2 and v3.8.0. The Triton inference handler now performs integrity verification before deserializing model artifacts. AWS recommend upgrading to the latest version and rebuilding any Triton models previously created with ModelBuilder using the updated SDK. Ensure any forked or derivative code is patched to incorporate the new fixes. WorkaroundsIf upgrading is not immediately possible, users should restrict S3 write access to model artifact paths to only trusted principals and monitor for unintended modifications to files in model artifact S3 locations. ReferencesIf there any questions or comments about this advisory, contact AWS Security via vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
2.199.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
+ 102 more Show less
2.207.1
2.208.0
2.209.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.256.0
2.256.1
2.257.0
2.257.1
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
3.4.0
3.4.1
3.5.0
3.6.0
3.7.0
3.7.1
Fixed in
2.257.2
3.8.0
References
Updated Jul 13, 2026 · Source: OSV.dev
CVE-2026-8596
PYSEC-2026-3059
GHSA-7hh5-prp2-mfh5
Jul 13, 2026
Cleartext storage of HMAC signing key in Amazon SageMaker Python SDK ModelBuilder/Serve path
High
Network
Low
High
None
SummaryAmazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the ModelBuilder/Serve component stores an HMAC signing key in cleartext as a container environment variable, which is returned in plaintext by SageMaker describe APIs. ImpactWhen using ModelBuilder to build and deploy models with affected model servers (TorchServe, Multi-Model Server, TensorFlow Serving, SMD, or Triton), the SDK generates an HMAC secret key for model artifact integrity verification and stores it as the SAGEMAKER_SERVE_SECRET_KEY environment variable in the SageMaker model container configuration. This environment variable is returned in plaintext by the DescribeModel, DescribeEndpointConfig, and DescribeModelPackage APIs. A remote authenticated actor with permissions to call these describe APIs and S3 write access to the model artifact path could extract the key, forge valid integrity signatures for specially crafted model artifacts, and achieve code execution in inference containers with the SageMaker execution role's IAM permissions. Impacted versions: >= v2.199.0 AND <= v2.257.1, >= v3.0.0 AND <= v3.7.1 PatchesThis issue has been addressed in Amazon SageMaker Python SDK v2.257.2 and v3.8.0. AWS recommend upgrading to the latest version and rebuilding any models previously created with ModelBuilder using the updated SDK. Models created with affected versions may still have the HMAC key stored in their container environment variables until they are rebuilt with the patched SDK. Ensure any forked or derivative code is patched to incorporate the new fixes. WorkaroundsIf upgrading is not immediately possible, users can manually remove the SAGEMAKER_SERVE_SECRET_KEY environment variable from existing SageMaker models by recreating the model without this variable in the container environment configuration. ReferencesIf there any questions or comments about this advisory, contact AWS Security via the vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
2.199.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
+ 102 more Show less
2.207.1
2.208.0
2.209.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.256.0
2.256.1
2.257.0
2.257.1
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
3.4.0
3.4.1
3.5.0
3.6.0
3.7.0
3.7.1
Fixed in
2.257.2
3.8.0
References
Updated Jul 13, 2026 · Source: OSV.dev | ||
3.5.0
minor
2 CVEs
CVE-2026-8597
PYSEC-2026-3060
GHSA-rq6v-x3j8-7qgf
Jul 13, 2026
Amazon SageMaker Python SDK is missing integrity verification in its Triton inference handler
Low
Network
Low
High
None
SummaryAmazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the Triton inference handler deserializes model artifacts without performing integrity verification, allowing specially crafted pickle payloads to execute arbitrary code. ImpactWhen using ModelBuilder with the Triton inference server, the Triton handler did not perform integrity verification before deserializing model artifacts. A remote authenticated actor with S3 write access to the model artifact path could replace model files with a crafted payload that would execute automatically on the next container lifecycle event, achieving code execution with the SageMaker execution role's IAM permissions. Impacted versions: >= v2.199.0 AND <= v2.257.1, >= v3.0.0 AND <= v3.7.1 PatchesThis issue has been addressed in Amazon SageMaker Python SDK v2.257.2 and v3.8.0. The Triton inference handler now performs integrity verification before deserializing model artifacts. AWS recommend upgrading to the latest version and rebuilding any Triton models previously created with ModelBuilder using the updated SDK. Ensure any forked or derivative code is patched to incorporate the new fixes. WorkaroundsIf upgrading is not immediately possible, users should restrict S3 write access to model artifact paths to only trusted principals and monitor for unintended modifications to files in model artifact S3 locations. ReferencesIf there any questions or comments about this advisory, contact AWS Security via vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
2.199.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
+ 102 more Show less
2.207.1
2.208.0
2.209.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.256.0
2.256.1
2.257.0
2.257.1
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
3.4.0
3.4.1
3.5.0
3.6.0
3.7.0
3.7.1
Fixed in
2.257.2
3.8.0
References
Updated Jul 13, 2026 · Source: OSV.dev
CVE-2026-8596
PYSEC-2026-3059
GHSA-7hh5-prp2-mfh5
Jul 13, 2026
Cleartext storage of HMAC signing key in Amazon SageMaker Python SDK ModelBuilder/Serve path
High
Network
Low
High
None
SummaryAmazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the ModelBuilder/Serve component stores an HMAC signing key in cleartext as a container environment variable, which is returned in plaintext by SageMaker describe APIs. ImpactWhen using ModelBuilder to build and deploy models with affected model servers (TorchServe, Multi-Model Server, TensorFlow Serving, SMD, or Triton), the SDK generates an HMAC secret key for model artifact integrity verification and stores it as the SAGEMAKER_SERVE_SECRET_KEY environment variable in the SageMaker model container configuration. This environment variable is returned in plaintext by the DescribeModel, DescribeEndpointConfig, and DescribeModelPackage APIs. A remote authenticated actor with permissions to call these describe APIs and S3 write access to the model artifact path could extract the key, forge valid integrity signatures for specially crafted model artifacts, and achieve code execution in inference containers with the SageMaker execution role's IAM permissions. Impacted versions: >= v2.199.0 AND <= v2.257.1, >= v3.0.0 AND <= v3.7.1 PatchesThis issue has been addressed in Amazon SageMaker Python SDK v2.257.2 and v3.8.0. AWS recommend upgrading to the latest version and rebuilding any models previously created with ModelBuilder using the updated SDK. Models created with affected versions may still have the HMAC key stored in their container environment variables until they are rebuilt with the patched SDK. Ensure any forked or derivative code is patched to incorporate the new fixes. WorkaroundsIf upgrading is not immediately possible, users can manually remove the SAGEMAKER_SERVE_SECRET_KEY environment variable from existing SageMaker models by recreating the model without this variable in the container environment configuration. ReferencesIf there any questions or comments about this advisory, contact AWS Security via the vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
2.199.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
+ 102 more Show less
2.207.1
2.208.0
2.209.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.256.0
2.256.1
2.257.0
2.257.1
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
3.4.0
3.4.1
3.5.0
3.6.0
3.7.0
3.7.1
Fixed in
2.257.2
3.8.0
References
Updated Jul 13, 2026 · Source: OSV.dev | ||
3.4.1
patch
2 CVEs
CVE-2026-8597
PYSEC-2026-3060
GHSA-rq6v-x3j8-7qgf
Jul 13, 2026
Amazon SageMaker Python SDK is missing integrity verification in its Triton inference handler
Low
Network
Low
High
None
SummaryAmazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the Triton inference handler deserializes model artifacts without performing integrity verification, allowing specially crafted pickle payloads to execute arbitrary code. ImpactWhen using ModelBuilder with the Triton inference server, the Triton handler did not perform integrity verification before deserializing model artifacts. A remote authenticated actor with S3 write access to the model artifact path could replace model files with a crafted payload that would execute automatically on the next container lifecycle event, achieving code execution with the SageMaker execution role's IAM permissions. Impacted versions: >= v2.199.0 AND <= v2.257.1, >= v3.0.0 AND <= v3.7.1 PatchesThis issue has been addressed in Amazon SageMaker Python SDK v2.257.2 and v3.8.0. The Triton inference handler now performs integrity verification before deserializing model artifacts. AWS recommend upgrading to the latest version and rebuilding any Triton models previously created with ModelBuilder using the updated SDK. Ensure any forked or derivative code is patched to incorporate the new fixes. WorkaroundsIf upgrading is not immediately possible, users should restrict S3 write access to model artifact paths to only trusted principals and monitor for unintended modifications to files in model artifact S3 locations. ReferencesIf there any questions or comments about this advisory, contact AWS Security via vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
2.199.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
+ 102 more Show less
2.207.1
2.208.0
2.209.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.256.0
2.256.1
2.257.0
2.257.1
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
3.4.0
3.4.1
3.5.0
3.6.0
3.7.0
3.7.1
Fixed in
2.257.2
3.8.0
References
Updated Jul 13, 2026 · Source: OSV.dev
CVE-2026-8596
PYSEC-2026-3059
GHSA-7hh5-prp2-mfh5
Jul 13, 2026
Cleartext storage of HMAC signing key in Amazon SageMaker Python SDK ModelBuilder/Serve path
High
Network
Low
High
None
SummaryAmazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the ModelBuilder/Serve component stores an HMAC signing key in cleartext as a container environment variable, which is returned in plaintext by SageMaker describe APIs. ImpactWhen using ModelBuilder to build and deploy models with affected model servers (TorchServe, Multi-Model Server, TensorFlow Serving, SMD, or Triton), the SDK generates an HMAC secret key for model artifact integrity verification and stores it as the SAGEMAKER_SERVE_SECRET_KEY environment variable in the SageMaker model container configuration. This environment variable is returned in plaintext by the DescribeModel, DescribeEndpointConfig, and DescribeModelPackage APIs. A remote authenticated actor with permissions to call these describe APIs and S3 write access to the model artifact path could extract the key, forge valid integrity signatures for specially crafted model artifacts, and achieve code execution in inference containers with the SageMaker execution role's IAM permissions. Impacted versions: >= v2.199.0 AND <= v2.257.1, >= v3.0.0 AND <= v3.7.1 PatchesThis issue has been addressed in Amazon SageMaker Python SDK v2.257.2 and v3.8.0. AWS recommend upgrading to the latest version and rebuilding any models previously created with ModelBuilder using the updated SDK. Models created with affected versions may still have the HMAC key stored in their container environment variables until they are rebuilt with the patched SDK. Ensure any forked or derivative code is patched to incorporate the new fixes. WorkaroundsIf upgrading is not immediately possible, users can manually remove the SAGEMAKER_SERVE_SECRET_KEY environment variable from existing SageMaker models by recreating the model without this variable in the container environment configuration. ReferencesIf there any questions or comments about this advisory, contact AWS Security via the vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
2.199.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
+ 102 more Show less
2.207.1
2.208.0
2.209.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.256.0
2.256.1
2.257.0
2.257.1
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
3.4.0
3.4.1
3.5.0
3.6.0
3.7.0
3.7.1
Fixed in
2.257.2
3.8.0
References
Updated Jul 13, 2026 · Source: OSV.dev | ||
2.257.0
minor
2 CVEs
CVE-2026-8597
PYSEC-2026-3060
GHSA-rq6v-x3j8-7qgf
Jul 13, 2026
Amazon SageMaker Python SDK is missing integrity verification in its Triton inference handler
Low
Network
Low
High
None
SummaryAmazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the Triton inference handler deserializes model artifacts without performing integrity verification, allowing specially crafted pickle payloads to execute arbitrary code. ImpactWhen using ModelBuilder with the Triton inference server, the Triton handler did not perform integrity verification before deserializing model artifacts. A remote authenticated actor with S3 write access to the model artifact path could replace model files with a crafted payload that would execute automatically on the next container lifecycle event, achieving code execution with the SageMaker execution role's IAM permissions. Impacted versions: >= v2.199.0 AND <= v2.257.1, >= v3.0.0 AND <= v3.7.1 PatchesThis issue has been addressed in Amazon SageMaker Python SDK v2.257.2 and v3.8.0. The Triton inference handler now performs integrity verification before deserializing model artifacts. AWS recommend upgrading to the latest version and rebuilding any Triton models previously created with ModelBuilder using the updated SDK. Ensure any forked or derivative code is patched to incorporate the new fixes. WorkaroundsIf upgrading is not immediately possible, users should restrict S3 write access to model artifact paths to only trusted principals and monitor for unintended modifications to files in model artifact S3 locations. ReferencesIf there any questions or comments about this advisory, contact AWS Security via vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
2.199.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
+ 102 more Show less
2.207.1
2.208.0
2.209.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.256.0
2.256.1
2.257.0
2.257.1
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
3.4.0
3.4.1
3.5.0
3.6.0
3.7.0
3.7.1
Fixed in
2.257.2
3.8.0
References
Updated Jul 13, 2026 · Source: OSV.dev
CVE-2026-8596
PYSEC-2026-3059
GHSA-7hh5-prp2-mfh5
Jul 13, 2026
Cleartext storage of HMAC signing key in Amazon SageMaker Python SDK ModelBuilder/Serve path
High
Network
Low
High
None
SummaryAmazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the ModelBuilder/Serve component stores an HMAC signing key in cleartext as a container environment variable, which is returned in plaintext by SageMaker describe APIs. ImpactWhen using ModelBuilder to build and deploy models with affected model servers (TorchServe, Multi-Model Server, TensorFlow Serving, SMD, or Triton), the SDK generates an HMAC secret key for model artifact integrity verification and stores it as the SAGEMAKER_SERVE_SECRET_KEY environment variable in the SageMaker model container configuration. This environment variable is returned in plaintext by the DescribeModel, DescribeEndpointConfig, and DescribeModelPackage APIs. A remote authenticated actor with permissions to call these describe APIs and S3 write access to the model artifact path could extract the key, forge valid integrity signatures for specially crafted model artifacts, and achieve code execution in inference containers with the SageMaker execution role's IAM permissions. Impacted versions: >= v2.199.0 AND <= v2.257.1, >= v3.0.0 AND <= v3.7.1 PatchesThis issue has been addressed in Amazon SageMaker Python SDK v2.257.2 and v3.8.0. AWS recommend upgrading to the latest version and rebuilding any models previously created with ModelBuilder using the updated SDK. Models created with affected versions may still have the HMAC key stored in their container environment variables until they are rebuilt with the patched SDK. Ensure any forked or derivative code is patched to incorporate the new fixes. WorkaroundsIf upgrading is not immediately possible, users can manually remove the SAGEMAKER_SERVE_SECRET_KEY environment variable from existing SageMaker models by recreating the model without this variable in the container environment configuration. ReferencesIf there any questions or comments about this advisory, contact AWS Security via the vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
2.199.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
+ 102 more Show less
2.207.1
2.208.0
2.209.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.256.0
2.256.1
2.257.0
2.257.1
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
3.4.0
3.4.1
3.5.0
3.6.0
3.7.0
3.7.1
Fixed in
2.257.2
3.8.0
References
Updated Jul 13, 2026 · Source: OSV.dev | ||
3.4.0
minor
2 CVEs
CVE-2026-8597
PYSEC-2026-3060
GHSA-rq6v-x3j8-7qgf
Jul 13, 2026
Amazon SageMaker Python SDK is missing integrity verification in its Triton inference handler
Low
Network
Low
High
None
SummaryAmazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the Triton inference handler deserializes model artifacts without performing integrity verification, allowing specially crafted pickle payloads to execute arbitrary code. ImpactWhen using ModelBuilder with the Triton inference server, the Triton handler did not perform integrity verification before deserializing model artifacts. A remote authenticated actor with S3 write access to the model artifact path could replace model files with a crafted payload that would execute automatically on the next container lifecycle event, achieving code execution with the SageMaker execution role's IAM permissions. Impacted versions: >= v2.199.0 AND <= v2.257.1, >= v3.0.0 AND <= v3.7.1 PatchesThis issue has been addressed in Amazon SageMaker Python SDK v2.257.2 and v3.8.0. The Triton inference handler now performs integrity verification before deserializing model artifacts. AWS recommend upgrading to the latest version and rebuilding any Triton models previously created with ModelBuilder using the updated SDK. Ensure any forked or derivative code is patched to incorporate the new fixes. WorkaroundsIf upgrading is not immediately possible, users should restrict S3 write access to model artifact paths to only trusted principals and monitor for unintended modifications to files in model artifact S3 locations. ReferencesIf there any questions or comments about this advisory, contact AWS Security via vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
2.199.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
+ 102 more Show less
2.207.1
2.208.0
2.209.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.256.0
2.256.1
2.257.0
2.257.1
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
3.4.0
3.4.1
3.5.0
3.6.0
3.7.0
3.7.1
Fixed in
2.257.2
3.8.0
References
Updated Jul 13, 2026 · Source: OSV.dev
CVE-2026-8596
PYSEC-2026-3059
GHSA-7hh5-prp2-mfh5
Jul 13, 2026
Cleartext storage of HMAC signing key in Amazon SageMaker Python SDK ModelBuilder/Serve path
High
Network
Low
High
None
SummaryAmazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the ModelBuilder/Serve component stores an HMAC signing key in cleartext as a container environment variable, which is returned in plaintext by SageMaker describe APIs. ImpactWhen using ModelBuilder to build and deploy models with affected model servers (TorchServe, Multi-Model Server, TensorFlow Serving, SMD, or Triton), the SDK generates an HMAC secret key for model artifact integrity verification and stores it as the SAGEMAKER_SERVE_SECRET_KEY environment variable in the SageMaker model container configuration. This environment variable is returned in plaintext by the DescribeModel, DescribeEndpointConfig, and DescribeModelPackage APIs. A remote authenticated actor with permissions to call these describe APIs and S3 write access to the model artifact path could extract the key, forge valid integrity signatures for specially crafted model artifacts, and achieve code execution in inference containers with the SageMaker execution role's IAM permissions. Impacted versions: >= v2.199.0 AND <= v2.257.1, >= v3.0.0 AND <= v3.7.1 PatchesThis issue has been addressed in Amazon SageMaker Python SDK v2.257.2 and v3.8.0. AWS recommend upgrading to the latest version and rebuilding any models previously created with ModelBuilder using the updated SDK. Models created with affected versions may still have the HMAC key stored in their container environment variables until they are rebuilt with the patched SDK. Ensure any forked or derivative code is patched to incorporate the new fixes. WorkaroundsIf upgrading is not immediately possible, users can manually remove the SAGEMAKER_SERVE_SECRET_KEY environment variable from existing SageMaker models by recreating the model without this variable in the container environment configuration. ReferencesIf there any questions or comments about this advisory, contact AWS Security via the vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
2.199.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
+ 102 more Show less
2.207.1
2.208.0
2.209.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.256.0
2.256.1
2.257.0
2.257.1
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
3.4.0
3.4.1
3.5.0
3.6.0
3.7.0
3.7.1
Fixed in
2.257.2
3.8.0
References
Updated Jul 13, 2026 · Source: OSV.dev | ||
2.256.1
patch
2 CVEs
CVE-2026-8597
PYSEC-2026-3060
GHSA-rq6v-x3j8-7qgf
Jul 13, 2026
Amazon SageMaker Python SDK is missing integrity verification in its Triton inference handler
Low
Network
Low
High
None
SummaryAmazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the Triton inference handler deserializes model artifacts without performing integrity verification, allowing specially crafted pickle payloads to execute arbitrary code. ImpactWhen using ModelBuilder with the Triton inference server, the Triton handler did not perform integrity verification before deserializing model artifacts. A remote authenticated actor with S3 write access to the model artifact path could replace model files with a crafted payload that would execute automatically on the next container lifecycle event, achieving code execution with the SageMaker execution role's IAM permissions. Impacted versions: >= v2.199.0 AND <= v2.257.1, >= v3.0.0 AND <= v3.7.1 PatchesThis issue has been addressed in Amazon SageMaker Python SDK v2.257.2 and v3.8.0. The Triton inference handler now performs integrity verification before deserializing model artifacts. AWS recommend upgrading to the latest version and rebuilding any Triton models previously created with ModelBuilder using the updated SDK. Ensure any forked or derivative code is patched to incorporate the new fixes. WorkaroundsIf upgrading is not immediately possible, users should restrict S3 write access to model artifact paths to only trusted principals and monitor for unintended modifications to files in model artifact S3 locations. ReferencesIf there any questions or comments about this advisory, contact AWS Security via vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
2.199.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
+ 102 more Show less
2.207.1
2.208.0
2.209.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.256.0
2.256.1
2.257.0
2.257.1
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
3.4.0
3.4.1
3.5.0
3.6.0
3.7.0
3.7.1
Fixed in
2.257.2
3.8.0
References
Updated Jul 13, 2026 · Source: OSV.dev
CVE-2026-8596
PYSEC-2026-3059
GHSA-7hh5-prp2-mfh5
Jul 13, 2026
Cleartext storage of HMAC signing key in Amazon SageMaker Python SDK ModelBuilder/Serve path
High
Network
Low
High
None
SummaryAmazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the ModelBuilder/Serve component stores an HMAC signing key in cleartext as a container environment variable, which is returned in plaintext by SageMaker describe APIs. ImpactWhen using ModelBuilder to build and deploy models with affected model servers (TorchServe, Multi-Model Server, TensorFlow Serving, SMD, or Triton), the SDK generates an HMAC secret key for model artifact integrity verification and stores it as the SAGEMAKER_SERVE_SECRET_KEY environment variable in the SageMaker model container configuration. This environment variable is returned in plaintext by the DescribeModel, DescribeEndpointConfig, and DescribeModelPackage APIs. A remote authenticated actor with permissions to call these describe APIs and S3 write access to the model artifact path could extract the key, forge valid integrity signatures for specially crafted model artifacts, and achieve code execution in inference containers with the SageMaker execution role's IAM permissions. Impacted versions: >= v2.199.0 AND <= v2.257.1, >= v3.0.0 AND <= v3.7.1 PatchesThis issue has been addressed in Amazon SageMaker Python SDK v2.257.2 and v3.8.0. AWS recommend upgrading to the latest version and rebuilding any models previously created with ModelBuilder using the updated SDK. Models created with affected versions may still have the HMAC key stored in their container environment variables until they are rebuilt with the patched SDK. Ensure any forked or derivative code is patched to incorporate the new fixes. WorkaroundsIf upgrading is not immediately possible, users can manually remove the SAGEMAKER_SERVE_SECRET_KEY environment variable from existing SageMaker models by recreating the model without this variable in the container environment configuration. ReferencesIf there any questions or comments about this advisory, contact AWS Security via the vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
2.199.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
+ 102 more Show less
2.207.1
2.208.0
2.209.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.256.0
2.256.1
2.257.0
2.257.1
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
3.4.0
3.4.1
3.5.0
3.6.0
3.7.0
3.7.1
Fixed in
2.257.2
3.8.0
References
Updated Jul 13, 2026 · Source: OSV.dev | ||
3.3.1
patch
3 CVEs
CVE-2026-8597
PYSEC-2026-3060
GHSA-rq6v-x3j8-7qgf
Jul 13, 2026
Amazon SageMaker Python SDK is missing integrity verification in its Triton inference handler
Low
Network
Low
High
None
SummaryAmazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the Triton inference handler deserializes model artifacts without performing integrity verification, allowing specially crafted pickle payloads to execute arbitrary code. ImpactWhen using ModelBuilder with the Triton inference server, the Triton handler did not perform integrity verification before deserializing model artifacts. A remote authenticated actor with S3 write access to the model artifact path could replace model files with a crafted payload that would execute automatically on the next container lifecycle event, achieving code execution with the SageMaker execution role's IAM permissions. Impacted versions: >= v2.199.0 AND <= v2.257.1, >= v3.0.0 AND <= v3.7.1 PatchesThis issue has been addressed in Amazon SageMaker Python SDK v2.257.2 and v3.8.0. The Triton inference handler now performs integrity verification before deserializing model artifacts. AWS recommend upgrading to the latest version and rebuilding any Triton models previously created with ModelBuilder using the updated SDK. Ensure any forked or derivative code is patched to incorporate the new fixes. WorkaroundsIf upgrading is not immediately possible, users should restrict S3 write access to model artifact paths to only trusted principals and monitor for unintended modifications to files in model artifact S3 locations. ReferencesIf there any questions or comments about this advisory, contact AWS Security via vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
2.199.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
+ 102 more Show less
2.207.1
2.208.0
2.209.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.256.0
2.256.1
2.257.0
2.257.1
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
3.4.0
3.4.1
3.5.0
3.6.0
3.7.0
3.7.1
Fixed in
2.257.2
3.8.0
References
Updated Jul 13, 2026 · Source: OSV.dev
CVE-2026-8596
PYSEC-2026-3059
GHSA-7hh5-prp2-mfh5
Jul 13, 2026
Cleartext storage of HMAC signing key in Amazon SageMaker Python SDK ModelBuilder/Serve path
High
Network
Low
High
None
SummaryAmazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the ModelBuilder/Serve component stores an HMAC signing key in cleartext as a container environment variable, which is returned in plaintext by SageMaker describe APIs. ImpactWhen using ModelBuilder to build and deploy models with affected model servers (TorchServe, Multi-Model Server, TensorFlow Serving, SMD, or Triton), the SDK generates an HMAC secret key for model artifact integrity verification and stores it as the SAGEMAKER_SERVE_SECRET_KEY environment variable in the SageMaker model container configuration. This environment variable is returned in plaintext by the DescribeModel, DescribeEndpointConfig, and DescribeModelPackage APIs. A remote authenticated actor with permissions to call these describe APIs and S3 write access to the model artifact path could extract the key, forge valid integrity signatures for specially crafted model artifacts, and achieve code execution in inference containers with the SageMaker execution role's IAM permissions. Impacted versions: >= v2.199.0 AND <= v2.257.1, >= v3.0.0 AND <= v3.7.1 PatchesThis issue has been addressed in Amazon SageMaker Python SDK v2.257.2 and v3.8.0. AWS recommend upgrading to the latest version and rebuilding any models previously created with ModelBuilder using the updated SDK. Models created with affected versions may still have the HMAC key stored in their container environment variables until they are rebuilt with the patched SDK. Ensure any forked or derivative code is patched to incorporate the new fixes. WorkaroundsIf upgrading is not immediately possible, users can manually remove the SAGEMAKER_SERVE_SECRET_KEY environment variable from existing SageMaker models by recreating the model without this variable in the container environment configuration. ReferencesIf there any questions or comments about this advisory, contact AWS Security via the vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
2.199.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
+ 102 more Show less
2.207.1
2.208.0
2.209.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.256.0
2.256.1
2.257.0
2.257.1
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
3.4.0
3.4.1
3.5.0
3.6.0
3.7.0
3.7.1
Fixed in
2.257.2
3.8.0
References
Updated Jul 13, 2026 · Source: OSV.dev
GHSA-5r2p-pjr8-7fh7
Mar 05, 2026
SageMaker Python SDK replaced eval() with safe parser in JumpStart search functionality
High
Local
Low
None
SummaryThis advisory addresses the use of the search_hub() function within the SageMaker Python SDK's JumpStart search functionality. An actor with the ability to control query parameters passed to the search_hub() function could potentially provide malformed input that causes the eval() function to execute arbitrary commands, access sensitive data, or compromise the execution environment. A defense-in-depth enhancement has been implemented to replace code evaluation with safe string operations when processing search query parameters. This enhancement removes the use of eval() from the execution path, replacing it with a safe recursive descent parser. The change was released in SageMaker Python SDK version 3.4.0 on January 23, 2026. This advisory is informational to help customers understand their responsibilities regarding input validation and configuration security under the AWS Shared Responsibility Model. ImpactCustomer applications that pass unsanitized or untrusted input directly to the search_hub() function's query parameter could be prone to Remote Code Execution (RCE), potentially allowing attackers to execute arbitrary commands, access sensitive data, or compromise the execution environment. While the SDK was functioning within the requirements of the shared responsibility model—where input sanitization falls on the customer side—additional safeguards have been added to support secure customer implementations and provide defense-in-depth protection. Impacted versions: All versions of SageMaker Python SDK prior to 3.4.0 PatchesOn January 23, 2026, an enhancement was made to SageMaker Python SDK version 3.4.0, which replaces eval() with a safe recursive descent parser that uses string operations for pattern matching with proper operator precedence and exception handling. We recommend upgrading to version 3.4.0 or later, using the following command: Customers using forked or derivative code should incorporate the fixes from the referenced pull request. WorkaroundsNo workarounds are needed, but as always you should ensure that your application is following security best practices:
References
If you have any questions or comments about this advisory, contact AWS Security via our vulnerability reporting page or email aws-security@amazon.com. Please do not create a public GitHub issue. AcknowledgementWe thank Dan Aridor (@daridor9) and the security research community for bringing these customer security considerations to our attention through the coordinated disclosure process and for collaborating on this issue through responsible disclosure practices. Affected versions
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
Fixed in
3.4.0
References
Updated Oct 02, 2026 · Source: OSV.dev | ||
2.256.0
minor
2 CVEs
CVE-2026-8597
PYSEC-2026-3060
GHSA-rq6v-x3j8-7qgf
Jul 13, 2026
Amazon SageMaker Python SDK is missing integrity verification in its Triton inference handler
Low
Network
Low
High
None
SummaryAmazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the Triton inference handler deserializes model artifacts without performing integrity verification, allowing specially crafted pickle payloads to execute arbitrary code. ImpactWhen using ModelBuilder with the Triton inference server, the Triton handler did not perform integrity verification before deserializing model artifacts. A remote authenticated actor with S3 write access to the model artifact path could replace model files with a crafted payload that would execute automatically on the next container lifecycle event, achieving code execution with the SageMaker execution role's IAM permissions. Impacted versions: >= v2.199.0 AND <= v2.257.1, >= v3.0.0 AND <= v3.7.1 PatchesThis issue has been addressed in Amazon SageMaker Python SDK v2.257.2 and v3.8.0. The Triton inference handler now performs integrity verification before deserializing model artifacts. AWS recommend upgrading to the latest version and rebuilding any Triton models previously created with ModelBuilder using the updated SDK. Ensure any forked or derivative code is patched to incorporate the new fixes. WorkaroundsIf upgrading is not immediately possible, users should restrict S3 write access to model artifact paths to only trusted principals and monitor for unintended modifications to files in model artifact S3 locations. ReferencesIf there any questions or comments about this advisory, contact AWS Security via vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
2.199.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
+ 102 more Show less
2.207.1
2.208.0
2.209.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.256.0
2.256.1
2.257.0
2.257.1
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
3.4.0
3.4.1
3.5.0
3.6.0
3.7.0
3.7.1
Fixed in
2.257.2
3.8.0
References
Updated Jul 13, 2026 · Source: OSV.dev
CVE-2026-8596
PYSEC-2026-3059
GHSA-7hh5-prp2-mfh5
Jul 13, 2026
Cleartext storage of HMAC signing key in Amazon SageMaker Python SDK ModelBuilder/Serve path
High
Network
Low
High
None
SummaryAmazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the ModelBuilder/Serve component stores an HMAC signing key in cleartext as a container environment variable, which is returned in plaintext by SageMaker describe APIs. ImpactWhen using ModelBuilder to build and deploy models with affected model servers (TorchServe, Multi-Model Server, TensorFlow Serving, SMD, or Triton), the SDK generates an HMAC secret key for model artifact integrity verification and stores it as the SAGEMAKER_SERVE_SECRET_KEY environment variable in the SageMaker model container configuration. This environment variable is returned in plaintext by the DescribeModel, DescribeEndpointConfig, and DescribeModelPackage APIs. A remote authenticated actor with permissions to call these describe APIs and S3 write access to the model artifact path could extract the key, forge valid integrity signatures for specially crafted model artifacts, and achieve code execution in inference containers with the SageMaker execution role's IAM permissions. Impacted versions: >= v2.199.0 AND <= v2.257.1, >= v3.0.0 AND <= v3.7.1 PatchesThis issue has been addressed in Amazon SageMaker Python SDK v2.257.2 and v3.8.0. AWS recommend upgrading to the latest version and rebuilding any models previously created with ModelBuilder using the updated SDK. Models created with affected versions may still have the HMAC key stored in their container environment variables until they are rebuilt with the patched SDK. Ensure any forked or derivative code is patched to incorporate the new fixes. WorkaroundsIf upgrading is not immediately possible, users can manually remove the SAGEMAKER_SERVE_SECRET_KEY environment variable from existing SageMaker models by recreating the model without this variable in the container environment configuration. ReferencesIf there any questions or comments about this advisory, contact AWS Security via the vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
2.199.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
+ 102 more Show less
2.207.1
2.208.0
2.209.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.256.0
2.256.1
2.257.0
2.257.1
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
3.4.0
3.4.1
3.5.0
3.6.0
3.7.0
3.7.1
Fixed in
2.257.2
3.8.0
References
Updated Jul 13, 2026 · Source: OSV.dev | ||
3.3.0
minor
3 CVEs
CVE-2026-8597
PYSEC-2026-3060
GHSA-rq6v-x3j8-7qgf
Jul 13, 2026
Amazon SageMaker Python SDK is missing integrity verification in its Triton inference handler
Low
Network
Low
High
None
SummaryAmazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the Triton inference handler deserializes model artifacts without performing integrity verification, allowing specially crafted pickle payloads to execute arbitrary code. ImpactWhen using ModelBuilder with the Triton inference server, the Triton handler did not perform integrity verification before deserializing model artifacts. A remote authenticated actor with S3 write access to the model artifact path could replace model files with a crafted payload that would execute automatically on the next container lifecycle event, achieving code execution with the SageMaker execution role's IAM permissions. Impacted versions: >= v2.199.0 AND <= v2.257.1, >= v3.0.0 AND <= v3.7.1 PatchesThis issue has been addressed in Amazon SageMaker Python SDK v2.257.2 and v3.8.0. The Triton inference handler now performs integrity verification before deserializing model artifacts. AWS recommend upgrading to the latest version and rebuilding any Triton models previously created with ModelBuilder using the updated SDK. Ensure any forked or derivative code is patched to incorporate the new fixes. WorkaroundsIf upgrading is not immediately possible, users should restrict S3 write access to model artifact paths to only trusted principals and monitor for unintended modifications to files in model artifact S3 locations. ReferencesIf there any questions or comments about this advisory, contact AWS Security via vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
2.199.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
+ 102 more Show less
2.207.1
2.208.0
2.209.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.256.0
2.256.1
2.257.0
2.257.1
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
3.4.0
3.4.1
3.5.0
3.6.0
3.7.0
3.7.1
Fixed in
2.257.2
3.8.0
References
Updated Jul 13, 2026 · Source: OSV.dev
CVE-2026-8596
PYSEC-2026-3059
GHSA-7hh5-prp2-mfh5
Jul 13, 2026
Cleartext storage of HMAC signing key in Amazon SageMaker Python SDK ModelBuilder/Serve path
High
Network
Low
High
None
SummaryAmazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the ModelBuilder/Serve component stores an HMAC signing key in cleartext as a container environment variable, which is returned in plaintext by SageMaker describe APIs. ImpactWhen using ModelBuilder to build and deploy models with affected model servers (TorchServe, Multi-Model Server, TensorFlow Serving, SMD, or Triton), the SDK generates an HMAC secret key for model artifact integrity verification and stores it as the SAGEMAKER_SERVE_SECRET_KEY environment variable in the SageMaker model container configuration. This environment variable is returned in plaintext by the DescribeModel, DescribeEndpointConfig, and DescribeModelPackage APIs. A remote authenticated actor with permissions to call these describe APIs and S3 write access to the model artifact path could extract the key, forge valid integrity signatures for specially crafted model artifacts, and achieve code execution in inference containers with the SageMaker execution role's IAM permissions. Impacted versions: >= v2.199.0 AND <= v2.257.1, >= v3.0.0 AND <= v3.7.1 PatchesThis issue has been addressed in Amazon SageMaker Python SDK v2.257.2 and v3.8.0. AWS recommend upgrading to the latest version and rebuilding any models previously created with ModelBuilder using the updated SDK. Models created with affected versions may still have the HMAC key stored in their container environment variables until they are rebuilt with the patched SDK. Ensure any forked or derivative code is patched to incorporate the new fixes. WorkaroundsIf upgrading is not immediately possible, users can manually remove the SAGEMAKER_SERVE_SECRET_KEY environment variable from existing SageMaker models by recreating the model without this variable in the container environment configuration. ReferencesIf there any questions or comments about this advisory, contact AWS Security via the vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
2.199.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
+ 102 more Show less
2.207.1
2.208.0
2.209.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.256.0
2.256.1
2.257.0
2.257.1
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
3.4.0
3.4.1
3.5.0
3.6.0
3.7.0
3.7.1
Fixed in
2.257.2
3.8.0
References
Updated Jul 13, 2026 · Source: OSV.dev
GHSA-5r2p-pjr8-7fh7
Mar 05, 2026
SageMaker Python SDK replaced eval() with safe parser in JumpStart search functionality
High
Local
Low
None
SummaryThis advisory addresses the use of the search_hub() function within the SageMaker Python SDK's JumpStart search functionality. An actor with the ability to control query parameters passed to the search_hub() function could potentially provide malformed input that causes the eval() function to execute arbitrary commands, access sensitive data, or compromise the execution environment. A defense-in-depth enhancement has been implemented to replace code evaluation with safe string operations when processing search query parameters. This enhancement removes the use of eval() from the execution path, replacing it with a safe recursive descent parser. The change was released in SageMaker Python SDK version 3.4.0 on January 23, 2026. This advisory is informational to help customers understand their responsibilities regarding input validation and configuration security under the AWS Shared Responsibility Model. ImpactCustomer applications that pass unsanitized or untrusted input directly to the search_hub() function's query parameter could be prone to Remote Code Execution (RCE), potentially allowing attackers to execute arbitrary commands, access sensitive data, or compromise the execution environment. While the SDK was functioning within the requirements of the shared responsibility model—where input sanitization falls on the customer side—additional safeguards have been added to support secure customer implementations and provide defense-in-depth protection. Impacted versions: All versions of SageMaker Python SDK prior to 3.4.0 PatchesOn January 23, 2026, an enhancement was made to SageMaker Python SDK version 3.4.0, which replaces eval() with a safe recursive descent parser that uses string operations for pattern matching with proper operator precedence and exception handling. We recommend upgrading to version 3.4.0 or later, using the following command: Customers using forked or derivative code should incorporate the fixes from the referenced pull request. WorkaroundsNo workarounds are needed, but as always you should ensure that your application is following security best practices:
References
If you have any questions or comments about this advisory, contact AWS Security via our vulnerability reporting page or email aws-security@amazon.com. Please do not create a public GitHub issue. AcknowledgementWe thank Dan Aridor (@daridor9) and the security research community for bringing these customer security considerations to our attention through the coordinated disclosure process and for collaborating on this issue through responsible disclosure practices. Affected versions
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
Fixed in
3.4.0
References
Updated Oct 02, 2026 · Source: OSV.dev | ||
3.2.0
minor
3 CVEs
CVE-2026-8597
PYSEC-2026-3060
GHSA-rq6v-x3j8-7qgf
Jul 13, 2026
Amazon SageMaker Python SDK is missing integrity verification in its Triton inference handler
Low
Network
Low
High
None
SummaryAmazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the Triton inference handler deserializes model artifacts without performing integrity verification, allowing specially crafted pickle payloads to execute arbitrary code. ImpactWhen using ModelBuilder with the Triton inference server, the Triton handler did not perform integrity verification before deserializing model artifacts. A remote authenticated actor with S3 write access to the model artifact path could replace model files with a crafted payload that would execute automatically on the next container lifecycle event, achieving code execution with the SageMaker execution role's IAM permissions. Impacted versions: >= v2.199.0 AND <= v2.257.1, >= v3.0.0 AND <= v3.7.1 PatchesThis issue has been addressed in Amazon SageMaker Python SDK v2.257.2 and v3.8.0. The Triton inference handler now performs integrity verification before deserializing model artifacts. AWS recommend upgrading to the latest version and rebuilding any Triton models previously created with ModelBuilder using the updated SDK. Ensure any forked or derivative code is patched to incorporate the new fixes. WorkaroundsIf upgrading is not immediately possible, users should restrict S3 write access to model artifact paths to only trusted principals and monitor for unintended modifications to files in model artifact S3 locations. ReferencesIf there any questions or comments about this advisory, contact AWS Security via vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
2.199.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
+ 102 more Show less
2.207.1
2.208.0
2.209.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.256.0
2.256.1
2.257.0
2.257.1
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
3.4.0
3.4.1
3.5.0
3.6.0
3.7.0
3.7.1
Fixed in
2.257.2
3.8.0
References
Updated Jul 13, 2026 · Source: OSV.dev
CVE-2026-8596
PYSEC-2026-3059
GHSA-7hh5-prp2-mfh5
Jul 13, 2026
Cleartext storage of HMAC signing key in Amazon SageMaker Python SDK ModelBuilder/Serve path
High
Network
Low
High
None
SummaryAmazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the ModelBuilder/Serve component stores an HMAC signing key in cleartext as a container environment variable, which is returned in plaintext by SageMaker describe APIs. ImpactWhen using ModelBuilder to build and deploy models with affected model servers (TorchServe, Multi-Model Server, TensorFlow Serving, SMD, or Triton), the SDK generates an HMAC secret key for model artifact integrity verification and stores it as the SAGEMAKER_SERVE_SECRET_KEY environment variable in the SageMaker model container configuration. This environment variable is returned in plaintext by the DescribeModel, DescribeEndpointConfig, and DescribeModelPackage APIs. A remote authenticated actor with permissions to call these describe APIs and S3 write access to the model artifact path could extract the key, forge valid integrity signatures for specially crafted model artifacts, and achieve code execution in inference containers with the SageMaker execution role's IAM permissions. Impacted versions: >= v2.199.0 AND <= v2.257.1, >= v3.0.0 AND <= v3.7.1 PatchesThis issue has been addressed in Amazon SageMaker Python SDK v2.257.2 and v3.8.0. AWS recommend upgrading to the latest version and rebuilding any models previously created with ModelBuilder using the updated SDK. Models created with affected versions may still have the HMAC key stored in their container environment variables until they are rebuilt with the patched SDK. Ensure any forked or derivative code is patched to incorporate the new fixes. WorkaroundsIf upgrading is not immediately possible, users can manually remove the SAGEMAKER_SERVE_SECRET_KEY environment variable from existing SageMaker models by recreating the model without this variable in the container environment configuration. ReferencesIf there any questions or comments about this advisory, contact AWS Security via the vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
2.199.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
+ 102 more Show less
2.207.1
2.208.0
2.209.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.256.0
2.256.1
2.257.0
2.257.1
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
3.4.0
3.4.1
3.5.0
3.6.0
3.7.0
3.7.1
Fixed in
2.257.2
3.8.0
References
Updated Jul 13, 2026 · Source: OSV.dev
GHSA-5r2p-pjr8-7fh7
Mar 05, 2026
SageMaker Python SDK replaced eval() with safe parser in JumpStart search functionality
High
Local
Low
None
SummaryThis advisory addresses the use of the search_hub() function within the SageMaker Python SDK's JumpStart search functionality. An actor with the ability to control query parameters passed to the search_hub() function could potentially provide malformed input that causes the eval() function to execute arbitrary commands, access sensitive data, or compromise the execution environment. A defense-in-depth enhancement has been implemented to replace code evaluation with safe string operations when processing search query parameters. This enhancement removes the use of eval() from the execution path, replacing it with a safe recursive descent parser. The change was released in SageMaker Python SDK version 3.4.0 on January 23, 2026. This advisory is informational to help customers understand their responsibilities regarding input validation and configuration security under the AWS Shared Responsibility Model. ImpactCustomer applications that pass unsanitized or untrusted input directly to the search_hub() function's query parameter could be prone to Remote Code Execution (RCE), potentially allowing attackers to execute arbitrary commands, access sensitive data, or compromise the execution environment. While the SDK was functioning within the requirements of the shared responsibility model—where input sanitization falls on the customer side—additional safeguards have been added to support secure customer implementations and provide defense-in-depth protection. Impacted versions: All versions of SageMaker Python SDK prior to 3.4.0 PatchesOn January 23, 2026, an enhancement was made to SageMaker Python SDK version 3.4.0, which replaces eval() with a safe recursive descent parser that uses string operations for pattern matching with proper operator precedence and exception handling. We recommend upgrading to version 3.4.0 or later, using the following command: Customers using forked or derivative code should incorporate the fixes from the referenced pull request. WorkaroundsNo workarounds are needed, but as always you should ensure that your application is following security best practices:
References
If you have any questions or comments about this advisory, contact AWS Security via our vulnerability reporting page or email aws-security@amazon.com. Please do not create a public GitHub issue. AcknowledgementWe thank Dan Aridor (@daridor9) and the security research community for bringing these customer security considerations to our attention through the coordinated disclosure process and for collaborating on this issue through responsible disclosure practices. Affected versions
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
Fixed in
3.4.0
References
Updated Oct 02, 2026 · Source: OSV.dev | ||
3.1.1
patch
4 CVEs
CVE-2026-8597
PYSEC-2026-3060
GHSA-rq6v-x3j8-7qgf
Jul 13, 2026
Amazon SageMaker Python SDK is missing integrity verification in its Triton inference handler
Low
Network
Low
High
None
SummaryAmazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the Triton inference handler deserializes model artifacts without performing integrity verification, allowing specially crafted pickle payloads to execute arbitrary code. ImpactWhen using ModelBuilder with the Triton inference server, the Triton handler did not perform integrity verification before deserializing model artifacts. A remote authenticated actor with S3 write access to the model artifact path could replace model files with a crafted payload that would execute automatically on the next container lifecycle event, achieving code execution with the SageMaker execution role's IAM permissions. Impacted versions: >= v2.199.0 AND <= v2.257.1, >= v3.0.0 AND <= v3.7.1 PatchesThis issue has been addressed in Amazon SageMaker Python SDK v2.257.2 and v3.8.0. The Triton inference handler now performs integrity verification before deserializing model artifacts. AWS recommend upgrading to the latest version and rebuilding any Triton models previously created with ModelBuilder using the updated SDK. Ensure any forked or derivative code is patched to incorporate the new fixes. WorkaroundsIf upgrading is not immediately possible, users should restrict S3 write access to model artifact paths to only trusted principals and monitor for unintended modifications to files in model artifact S3 locations. ReferencesIf there any questions or comments about this advisory, contact AWS Security via vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
2.199.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
+ 102 more Show less
2.207.1
2.208.0
2.209.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.256.0
2.256.1
2.257.0
2.257.1
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
3.4.0
3.4.1
3.5.0
3.6.0
3.7.0
3.7.1
Fixed in
2.257.2
3.8.0
References
Updated Jul 13, 2026 · Source: OSV.dev
CVE-2026-8596
PYSEC-2026-3059
GHSA-7hh5-prp2-mfh5
Jul 13, 2026
Cleartext storage of HMAC signing key in Amazon SageMaker Python SDK ModelBuilder/Serve path
High
Network
Low
High
None
SummaryAmazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the ModelBuilder/Serve component stores an HMAC signing key in cleartext as a container environment variable, which is returned in plaintext by SageMaker describe APIs. ImpactWhen using ModelBuilder to build and deploy models with affected model servers (TorchServe, Multi-Model Server, TensorFlow Serving, SMD, or Triton), the SDK generates an HMAC secret key for model artifact integrity verification and stores it as the SAGEMAKER_SERVE_SECRET_KEY environment variable in the SageMaker model container configuration. This environment variable is returned in plaintext by the DescribeModel, DescribeEndpointConfig, and DescribeModelPackage APIs. A remote authenticated actor with permissions to call these describe APIs and S3 write access to the model artifact path could extract the key, forge valid integrity signatures for specially crafted model artifacts, and achieve code execution in inference containers with the SageMaker execution role's IAM permissions. Impacted versions: >= v2.199.0 AND <= v2.257.1, >= v3.0.0 AND <= v3.7.1 PatchesThis issue has been addressed in Amazon SageMaker Python SDK v2.257.2 and v3.8.0. AWS recommend upgrading to the latest version and rebuilding any models previously created with ModelBuilder using the updated SDK. Models created with affected versions may still have the HMAC key stored in their container environment variables until they are rebuilt with the patched SDK. Ensure any forked or derivative code is patched to incorporate the new fixes. WorkaroundsIf upgrading is not immediately possible, users can manually remove the SAGEMAKER_SERVE_SECRET_KEY environment variable from existing SageMaker models by recreating the model without this variable in the container environment configuration. ReferencesIf there any questions or comments about this advisory, contact AWS Security via the vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
2.199.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
+ 102 more Show less
2.207.1
2.208.0
2.209.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.256.0
2.256.1
2.257.0
2.257.1
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
3.4.0
3.4.1
3.5.0
3.6.0
3.7.0
3.7.1
Fixed in
2.257.2
3.8.0
References
Updated Jul 13, 2026 · Source: OSV.dev
CVE-2026-1777
PYSEC-2026-1888
GHSA-rjrp-m2jw-pv9c
Jul 07, 2026
SageMaker Python SDK has Exposed HMAC
Critical
Network
Low
Low
None
SummarySageMaker Python SDK is an open source library for training and deploying machine learning models on Amazon SageMaker. An issue where the HMAC secret key is stored in environment variables and disclosed via the DescribeTrainingJob API has been identified. Impact
Impacted versions
PatchesThis issue has been addressed in SageMaker Python SDK version v3.2.0 and v2.256.0. Upgrading to the latest version immediately and ensuring any forked or derivative code is patched to incorporate the new fixes is recommended. WorkaroundsCustomers using self-signed certificates for internal model downloads should add their private Certificate Authority (CA) certificate to the container image rather than relying on the SDK’s previous insecure configuration. This opt-in approach maintains security while accommodating internal trusted domains. ResourcesIf there are any questions or comments about this advisory, contact AWS Security via the vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
1.0.0
1.0.1
1.0.2
1.1.0
1.1.1
1.1.2
1.1.3
1.10.0
1.10.1
1.11.0
1.11.1
1.11.2
+ 642 more Show less
1.11.3
1.12.0
1.13.0
1.14.0
1.14.1
1.14.2
1.15.0
1.15.1
1.15.2
1.16.1
1.16.1.post1
1.16.2
1.16.3
1.17.0
1.17.1
1.17.2
1.18.0
1.18.1
1.18.10
1.18.11
1.18.12
1.18.13
1.18.14
1.18.14.post0
1.18.14.post1
1.18.15
1.18.16
1.18.17
1.18.18
1.18.19
1.18.2
1.18.3
1.18.3.post1
1.18.4
1.18.5
1.18.6.post0
1.18.7
1.18.8
1.18.9
1.18.9.post0
1.18.9.post1
1.19.0
1.19.1
1.2.0
1.2.1
1.2.2
1.2.3
1.2.4
1.2.5
1.20.0
1.20.1
1.20.2
1.20.3
1.21.0
1.21.1
1.21.2
1.22.0
1.23.0
1.24.0
1.25.0
1.25.1
1.26.0
1.27.0
1.28.0
1.28.1
1.28.2
1.28.3
1.29.0
1.3.0
1.30.0
1.31.0
1.31.1
1.32.0
1.32.1
1.32.2
1.33.0
1.34.0
1.34.1
1.34.2
1.34.3
1.35.0
1.35.1
1.36.0
1.36.1
1.36.2
1.36.3
1.36.4
1.37.0
1.37.1
1.37.2
1.38.0
1.38.1
1.38.2
1.38.3
1.38.4
1.38.5
1.38.6
1.39.0
1.39.1
1.39.2
1.39.3
1.39.4
1.4.0
1.4.1
1.4.2
1.40.0
1.40.1
1.40.2
1.41.0
1.42.0
1.42.1
1.42.2
1.42.3
1.42.4
1.42.5
1.42.6
1.42.6.post0
1.42.7
1.42.8
1.42.9
1.43.0
1.43.1
1.43.2
1.43.3
1.43.4
1.43.4.post0
1.43.4.post1
1.43.5
1.44.0
1.44.1
1.44.2
1.44.3
1.44.4
1.45.0
1.45.1
1.45.2
1.46.0
1.47.1
1.48.0
1.48.1
1.49.0
1.5.0
1.5.1
1.5.2
1.5.3
1.5.4
1.50.0
1.50.1
1.50.10
1.50.10.post0
1.50.11
1.50.12
1.50.13
1.50.14
1.50.14.post0
1.50.15
1.50.16
1.50.17
1.50.17.post0
1.50.18
1.50.18.post0
1.50.2
1.50.3
1.50.4
1.50.5
1.50.6
1.50.6.post0
1.50.7
1.50.8
1.50.9
1.50.9.post0
1.51.0
1.51.1
1.51.2
1.51.3
1.51.4
1.52.0
1.52.0.post0
1.52.1
1.53.0
1.54.0
1.55.0
1.55.0.post0
1.55.1
1.55.2
1.55.3
1.55.4
1.56.0
1.56.1
1.56.1.post0
1.56.1.post1
1.56.2
1.56.3
1.57.0
1.58.0
1.58.1
1.58.2
1.58.2.post0
1.58.3
1.58.4
1.59.0
1.6.0
1.6.1
1.60.0
1.60.0.post0
1.60.1
1.60.2
1.61.0
1.62.0
1.63.0
1.64.0
1.64.1
1.65.0
1.65.1
1.65.1.post0
1.65.1.post1
1.66.0
1.67.0
1.67.1
1.67.1.post0
1.68.0
1.69.0
1.7.0
1.7.1
1.7.2
1.70.0
1.70.1
1.70.2
1.71.0
1.71.1
1.72.0
1.72.1
1.8.0
1.9.0
1.9.1
1.9.2
1.9.3
1.9.3.1
2.0.0
2.0.1
2.1.0
2.10.0
2.100.0
2.101.1
2.102.0
2.103.0
2.104.0
2.105.0
2.106.0
2.107.0
2.108.0
2.109.0
2.11.0
2.110.0
2.111.0
2.112.0
2.112.1
2.112.2
2.113.0
2.114.0
2.115.0
2.116.0
2.117.0
2.118.0
2.119.0
2.12.0
2.120.0
2.121.0
2.121.1
2.121.2
2.122.0
2.122.1.dev0
2.123.0
2.124.0
2.125.0
2.126.0
2.127.0
2.128.0
2.129.0
2.13.0
2.130.0
2.131.0
2.131.1
2.132.0
2.133.0
2.134.0
2.134.1
2.135.0
2.135.1
2.135.1.post0
2.136.0
2.137.0
2.138.0
2.139.0
2.14.0
2.140.0
2.140.1
2.141.0
2.142.0
2.143.0
2.144.0
2.145.0
2.146.0
2.146.1
2.147.0
2.148.0
2.149.0
2.15.0
2.15.1
2.15.2
2.15.3
2.15.4
2.150.0
2.151.0
2.152.0
2.153.0
2.154.0
2.155.0
2.156.0
2.157.0
2.158.0
2.159.0
2.16.0
2.16.0.post0
2.16.1
2.16.2
2.16.3
2.16.3.post0
2.16.4
2.160.0
2.161.0
2.162.0
2.163.0
2.164.0
2.165.0
2.166.0
2.167.0
2.168.0
2.169.0
2.17.0
2.170.0
2.171.0
2.172.0
2.173.0
2.174.0
2.175.0
2.176.0
2.177.0
2.177.1
2.178.0
2.179.0
2.18.0
2.180.0
2.181.0
2.182.0
2.183.0
2.184.0
2.184.0.post0
2.185.0
2.186.0
2.187.0
2.188.0
2.189.0
2.19.0
2.190.0
2.191.0
2.192.0
2.192.1
2.193.0
2.194.0
2.195.0
2.195.1
2.196.0
2.197.0
2.197.1
2.198.0
2.198.1
2.199.0
2.2.0
2.20.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
2.207.1
2.208.0
2.209.0
2.21.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.22.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.23.0
2.23.1
2.23.2
2.23.3
2.23.4
2.23.4.post0
2.23.5
2.23.6
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.24.0
2.24.1
2.24.2
2.24.3
2.24.4
2.24.5
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.25.0
2.25.1
2.25.2
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.26.0
2.27.0
2.27.1
2.28.0
2.29.0
2.29.1
2.29.2
2.3.0
2.30.0
2.31.0
2.31.1
2.32.0
2.32.1
2.33.0
2.34.0
2.35.0
2.36.0
2.37.0
2.38.0
2.39.0
2.39.0.post0
2.39.1
2.4.0
2.4.1
2.4.2
2.40.0
2.41.0
2.42.0
2.42.1
2.43.0
2.44.0
2.45.0
2.46.0
2.46.1
2.47.0
2.47.1
2.47.2
2.47.2.post0
2.48.0
2.48.1
2.48.2
2.49.0
2.49.1
2.49.2
2.5.0
2.5.1
2.5.2
2.5.3
2.5.4
2.5.5
2.50.0
2.50.1
2.51.0
2.52.0
2.52.1
2.52.2
2.52.2.post0
2.53.0
2.54.0
2.54.1.dev0
2.55.0
2.56.0
2.57.0
2.58.0
2.59.0
2.59.1
2.59.1.post0
2.59.2
2.59.3
2.59.3.post0
2.59.4
2.59.5
2.59.6
2.59.7
2.59.8
2.6.0
2.60.0
2.61.0
2.62.0
2.63.0
2.63.1
2.63.2
2.64.0
2.65.0
2.66.0
2.66.1
2.66.2
2.66.2.post0
2.67.0
2.68.0
2.69.0
2.7.0
2.70.0
2.71.0
2.72.0
2.72.1
2.72.2
2.72.3
2.73.0
2.74.0
2.75.0
2.75.1
2.76.0
2.77.0
2.77.1
2.78.0
2.79.0
2.8.0
2.80.0
2.81.0
2.81.1
2.82.0
2.82.1
2.82.2
2.83.0
2.84.0
2.85.0
2.86.0
2.86.1
2.86.2
2.87.0
2.88.0
2.88.1
2.88.2
2.88.3
2.89.0
2.9.0
2.9.1
2.9.2
2.90.0
2.91.0
2.91.1
2.92.0
2.92.1
2.92.2
2.93.0
2.93.1
2.94.0
2.95.0
2.96.0
2.97.0
2.98.0
2.99.0
3.0
3.0.1
3.1.0
3.1.1
Fixed in
2.256.0
3.2.0
References
Updated Jul 07, 2026 · Source: OSV.dev
GHSA-5r2p-pjr8-7fh7
Mar 05, 2026
SageMaker Python SDK replaced eval() with safe parser in JumpStart search functionality
High
Local
Low
None
SummaryThis advisory addresses the use of the search_hub() function within the SageMaker Python SDK's JumpStart search functionality. An actor with the ability to control query parameters passed to the search_hub() function could potentially provide malformed input that causes the eval() function to execute arbitrary commands, access sensitive data, or compromise the execution environment. A defense-in-depth enhancement has been implemented to replace code evaluation with safe string operations when processing search query parameters. This enhancement removes the use of eval() from the execution path, replacing it with a safe recursive descent parser. The change was released in SageMaker Python SDK version 3.4.0 on January 23, 2026. This advisory is informational to help customers understand their responsibilities regarding input validation and configuration security under the AWS Shared Responsibility Model. ImpactCustomer applications that pass unsanitized or untrusted input directly to the search_hub() function's query parameter could be prone to Remote Code Execution (RCE), potentially allowing attackers to execute arbitrary commands, access sensitive data, or compromise the execution environment. While the SDK was functioning within the requirements of the shared responsibility model—where input sanitization falls on the customer side—additional safeguards have been added to support secure customer implementations and provide defense-in-depth protection. Impacted versions: All versions of SageMaker Python SDK prior to 3.4.0 PatchesOn January 23, 2026, an enhancement was made to SageMaker Python SDK version 3.4.0, which replaces eval() with a safe recursive descent parser that uses string operations for pattern matching with proper operator precedence and exception handling. We recommend upgrading to version 3.4.0 or later, using the following command: Customers using forked or derivative code should incorporate the fixes from the referenced pull request. WorkaroundsNo workarounds are needed, but as always you should ensure that your application is following security best practices:
References
If you have any questions or comments about this advisory, contact AWS Security via our vulnerability reporting page or email aws-security@amazon.com. Please do not create a public GitHub issue. AcknowledgementWe thank Dan Aridor (@daridor9) and the security research community for bringing these customer security considerations to our attention through the coordinated disclosure process and for collaborating on this issue through responsible disclosure practices. Affected versions
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
Fixed in
3.4.0
References
Updated Oct 02, 2026 · Source: OSV.dev | ||
3.1.0
minor
5 CVEs
CVE-2026-8597
PYSEC-2026-3060
GHSA-rq6v-x3j8-7qgf
Jul 13, 2026
Amazon SageMaker Python SDK is missing integrity verification in its Triton inference handler
Low
Network
Low
High
None
SummaryAmazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the Triton inference handler deserializes model artifacts without performing integrity verification, allowing specially crafted pickle payloads to execute arbitrary code. ImpactWhen using ModelBuilder with the Triton inference server, the Triton handler did not perform integrity verification before deserializing model artifacts. A remote authenticated actor with S3 write access to the model artifact path could replace model files with a crafted payload that would execute automatically on the next container lifecycle event, achieving code execution with the SageMaker execution role's IAM permissions. Impacted versions: >= v2.199.0 AND <= v2.257.1, >= v3.0.0 AND <= v3.7.1 PatchesThis issue has been addressed in Amazon SageMaker Python SDK v2.257.2 and v3.8.0. The Triton inference handler now performs integrity verification before deserializing model artifacts. AWS recommend upgrading to the latest version and rebuilding any Triton models previously created with ModelBuilder using the updated SDK. Ensure any forked or derivative code is patched to incorporate the new fixes. WorkaroundsIf upgrading is not immediately possible, users should restrict S3 write access to model artifact paths to only trusted principals and monitor for unintended modifications to files in model artifact S3 locations. ReferencesIf there any questions or comments about this advisory, contact AWS Security via vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
2.199.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
+ 102 more Show less
2.207.1
2.208.0
2.209.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.256.0
2.256.1
2.257.0
2.257.1
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
3.4.0
3.4.1
3.5.0
3.6.0
3.7.0
3.7.1
Fixed in
2.257.2
3.8.0
References
Updated Jul 13, 2026 · Source: OSV.dev
CVE-2026-8596
PYSEC-2026-3059
GHSA-7hh5-prp2-mfh5
Jul 13, 2026
Cleartext storage of HMAC signing key in Amazon SageMaker Python SDK ModelBuilder/Serve path
High
Network
Low
High
None
SummaryAmazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the ModelBuilder/Serve component stores an HMAC signing key in cleartext as a container environment variable, which is returned in plaintext by SageMaker describe APIs. ImpactWhen using ModelBuilder to build and deploy models with affected model servers (TorchServe, Multi-Model Server, TensorFlow Serving, SMD, or Triton), the SDK generates an HMAC secret key for model artifact integrity verification and stores it as the SAGEMAKER_SERVE_SECRET_KEY environment variable in the SageMaker model container configuration. This environment variable is returned in plaintext by the DescribeModel, DescribeEndpointConfig, and DescribeModelPackage APIs. A remote authenticated actor with permissions to call these describe APIs and S3 write access to the model artifact path could extract the key, forge valid integrity signatures for specially crafted model artifacts, and achieve code execution in inference containers with the SageMaker execution role's IAM permissions. Impacted versions: >= v2.199.0 AND <= v2.257.1, >= v3.0.0 AND <= v3.7.1 PatchesThis issue has been addressed in Amazon SageMaker Python SDK v2.257.2 and v3.8.0. AWS recommend upgrading to the latest version and rebuilding any models previously created with ModelBuilder using the updated SDK. Models created with affected versions may still have the HMAC key stored in their container environment variables until they are rebuilt with the patched SDK. Ensure any forked or derivative code is patched to incorporate the new fixes. WorkaroundsIf upgrading is not immediately possible, users can manually remove the SAGEMAKER_SERVE_SECRET_KEY environment variable from existing SageMaker models by recreating the model without this variable in the container environment configuration. ReferencesIf there any questions or comments about this advisory, contact AWS Security via the vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
2.199.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
+ 102 more Show less
2.207.1
2.208.0
2.209.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.256.0
2.256.1
2.257.0
2.257.1
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
3.4.0
3.4.1
3.5.0
3.6.0
3.7.0
3.7.1
Fixed in
2.257.2
3.8.0
References
Updated Jul 13, 2026 · Source: OSV.dev
CVE-2026-1777
PYSEC-2026-1888
GHSA-rjrp-m2jw-pv9c
Jul 07, 2026
SageMaker Python SDK has Exposed HMAC
Critical
Network
Low
Low
None
SummarySageMaker Python SDK is an open source library for training and deploying machine learning models on Amazon SageMaker. An issue where the HMAC secret key is stored in environment variables and disclosed via the DescribeTrainingJob API has been identified. Impact
Impacted versions
PatchesThis issue has been addressed in SageMaker Python SDK version v3.2.0 and v2.256.0. Upgrading to the latest version immediately and ensuring any forked or derivative code is patched to incorporate the new fixes is recommended. WorkaroundsCustomers using self-signed certificates for internal model downloads should add their private Certificate Authority (CA) certificate to the container image rather than relying on the SDK’s previous insecure configuration. This opt-in approach maintains security while accommodating internal trusted domains. ResourcesIf there are any questions or comments about this advisory, contact AWS Security via the vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
1.0.0
1.0.1
1.0.2
1.1.0
1.1.1
1.1.2
1.1.3
1.10.0
1.10.1
1.11.0
1.11.1
1.11.2
+ 642 more Show less
1.11.3
1.12.0
1.13.0
1.14.0
1.14.1
1.14.2
1.15.0
1.15.1
1.15.2
1.16.1
1.16.1.post1
1.16.2
1.16.3
1.17.0
1.17.1
1.17.2
1.18.0
1.18.1
1.18.10
1.18.11
1.18.12
1.18.13
1.18.14
1.18.14.post0
1.18.14.post1
1.18.15
1.18.16
1.18.17
1.18.18
1.18.19
1.18.2
1.18.3
1.18.3.post1
1.18.4
1.18.5
1.18.6.post0
1.18.7
1.18.8
1.18.9
1.18.9.post0
1.18.9.post1
1.19.0
1.19.1
1.2.0
1.2.1
1.2.2
1.2.3
1.2.4
1.2.5
1.20.0
1.20.1
1.20.2
1.20.3
1.21.0
1.21.1
1.21.2
1.22.0
1.23.0
1.24.0
1.25.0
1.25.1
1.26.0
1.27.0
1.28.0
1.28.1
1.28.2
1.28.3
1.29.0
1.3.0
1.30.0
1.31.0
1.31.1
1.32.0
1.32.1
1.32.2
1.33.0
1.34.0
1.34.1
1.34.2
1.34.3
1.35.0
1.35.1
1.36.0
1.36.1
1.36.2
1.36.3
1.36.4
1.37.0
1.37.1
1.37.2
1.38.0
1.38.1
1.38.2
1.38.3
1.38.4
1.38.5
1.38.6
1.39.0
1.39.1
1.39.2
1.39.3
1.39.4
1.4.0
1.4.1
1.4.2
1.40.0
1.40.1
1.40.2
1.41.0
1.42.0
1.42.1
1.42.2
1.42.3
1.42.4
1.42.5
1.42.6
1.42.6.post0
1.42.7
1.42.8
1.42.9
1.43.0
1.43.1
1.43.2
1.43.3
1.43.4
1.43.4.post0
1.43.4.post1
1.43.5
1.44.0
1.44.1
1.44.2
1.44.3
1.44.4
1.45.0
1.45.1
1.45.2
1.46.0
1.47.1
1.48.0
1.48.1
1.49.0
1.5.0
1.5.1
1.5.2
1.5.3
1.5.4
1.50.0
1.50.1
1.50.10
1.50.10.post0
1.50.11
1.50.12
1.50.13
1.50.14
1.50.14.post0
1.50.15
1.50.16
1.50.17
1.50.17.post0
1.50.18
1.50.18.post0
1.50.2
1.50.3
1.50.4
1.50.5
1.50.6
1.50.6.post0
1.50.7
1.50.8
1.50.9
1.50.9.post0
1.51.0
1.51.1
1.51.2
1.51.3
1.51.4
1.52.0
1.52.0.post0
1.52.1
1.53.0
1.54.0
1.55.0
1.55.0.post0
1.55.1
1.55.2
1.55.3
1.55.4
1.56.0
1.56.1
1.56.1.post0
1.56.1.post1
1.56.2
1.56.3
1.57.0
1.58.0
1.58.1
1.58.2
1.58.2.post0
1.58.3
1.58.4
1.59.0
1.6.0
1.6.1
1.60.0
1.60.0.post0
1.60.1
1.60.2
1.61.0
1.62.0
1.63.0
1.64.0
1.64.1
1.65.0
1.65.1
1.65.1.post0
1.65.1.post1
1.66.0
1.67.0
1.67.1
1.67.1.post0
1.68.0
1.69.0
1.7.0
1.7.1
1.7.2
1.70.0
1.70.1
1.70.2
1.71.0
1.71.1
1.72.0
1.72.1
1.8.0
1.9.0
1.9.1
1.9.2
1.9.3
1.9.3.1
2.0.0
2.0.1
2.1.0
2.10.0
2.100.0
2.101.1
2.102.0
2.103.0
2.104.0
2.105.0
2.106.0
2.107.0
2.108.0
2.109.0
2.11.0
2.110.0
2.111.0
2.112.0
2.112.1
2.112.2
2.113.0
2.114.0
2.115.0
2.116.0
2.117.0
2.118.0
2.119.0
2.12.0
2.120.0
2.121.0
2.121.1
2.121.2
2.122.0
2.122.1.dev0
2.123.0
2.124.0
2.125.0
2.126.0
2.127.0
2.128.0
2.129.0
2.13.0
2.130.0
2.131.0
2.131.1
2.132.0
2.133.0
2.134.0
2.134.1
2.135.0
2.135.1
2.135.1.post0
2.136.0
2.137.0
2.138.0
2.139.0
2.14.0
2.140.0
2.140.1
2.141.0
2.142.0
2.143.0
2.144.0
2.145.0
2.146.0
2.146.1
2.147.0
2.148.0
2.149.0
2.15.0
2.15.1
2.15.2
2.15.3
2.15.4
2.150.0
2.151.0
2.152.0
2.153.0
2.154.0
2.155.0
2.156.0
2.157.0
2.158.0
2.159.0
2.16.0
2.16.0.post0
2.16.1
2.16.2
2.16.3
2.16.3.post0
2.16.4
2.160.0
2.161.0
2.162.0
2.163.0
2.164.0
2.165.0
2.166.0
2.167.0
2.168.0
2.169.0
2.17.0
2.170.0
2.171.0
2.172.0
2.173.0
2.174.0
2.175.0
2.176.0
2.177.0
2.177.1
2.178.0
2.179.0
2.18.0
2.180.0
2.181.0
2.182.0
2.183.0
2.184.0
2.184.0.post0
2.185.0
2.186.0
2.187.0
2.188.0
2.189.0
2.19.0
2.190.0
2.191.0
2.192.0
2.192.1
2.193.0
2.194.0
2.195.0
2.195.1
2.196.0
2.197.0
2.197.1
2.198.0
2.198.1
2.199.0
2.2.0
2.20.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
2.207.1
2.208.0
2.209.0
2.21.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.22.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.23.0
2.23.1
2.23.2
2.23.3
2.23.4
2.23.4.post0
2.23.5
2.23.6
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.24.0
2.24.1
2.24.2
2.24.3
2.24.4
2.24.5
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.25.0
2.25.1
2.25.2
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.26.0
2.27.0
2.27.1
2.28.0
2.29.0
2.29.1
2.29.2
2.3.0
2.30.0
2.31.0
2.31.1
2.32.0
2.32.1
2.33.0
2.34.0
2.35.0
2.36.0
2.37.0
2.38.0
2.39.0
2.39.0.post0
2.39.1
2.4.0
2.4.1
2.4.2
2.40.0
2.41.0
2.42.0
2.42.1
2.43.0
2.44.0
2.45.0
2.46.0
2.46.1
2.47.0
2.47.1
2.47.2
2.47.2.post0
2.48.0
2.48.1
2.48.2
2.49.0
2.49.1
2.49.2
2.5.0
2.5.1
2.5.2
2.5.3
2.5.4
2.5.5
2.50.0
2.50.1
2.51.0
2.52.0
2.52.1
2.52.2
2.52.2.post0
2.53.0
2.54.0
2.54.1.dev0
2.55.0
2.56.0
2.57.0
2.58.0
2.59.0
2.59.1
2.59.1.post0
2.59.2
2.59.3
2.59.3.post0
2.59.4
2.59.5
2.59.6
2.59.7
2.59.8
2.6.0
2.60.0
2.61.0
2.62.0
2.63.0
2.63.1
2.63.2
2.64.0
2.65.0
2.66.0
2.66.1
2.66.2
2.66.2.post0
2.67.0
2.68.0
2.69.0
2.7.0
2.70.0
2.71.0
2.72.0
2.72.1
2.72.2
2.72.3
2.73.0
2.74.0
2.75.0
2.75.1
2.76.0
2.77.0
2.77.1
2.78.0
2.79.0
2.8.0
2.80.0
2.81.0
2.81.1
2.82.0
2.82.1
2.82.2
2.83.0
2.84.0
2.85.0
2.86.0
2.86.1
2.86.2
2.87.0
2.88.0
2.88.1
2.88.2
2.88.3
2.89.0
2.9.0
2.9.1
2.9.2
2.90.0
2.91.0
2.91.1
2.92.0
2.92.1
2.92.2
2.93.0
2.93.1
2.94.0
2.95.0
2.96.0
2.97.0
2.98.0
2.99.0
3.0
3.0.1
3.1.0
3.1.1
Fixed in
2.256.0
3.2.0
References
Updated Jul 07, 2026 · Source: OSV.dev
CVE-2026-1778
PYSEC-2026-1886
GHSA-62rc-f4v9-h543
Jul 07, 2026
SageMaker Python SDK has Insecure TLS Configuration
Critical
Network
Low
Low
None
SummarySageMaker Python SDK is an open source library for training and deploying machine learning models on Amazon SageMaker. An issue where SSL certificate verification was globally disabled in the Triton Python backend has been found. ImpactArbitrary Code Execution: Disabling SSL verification allows third parties to intercept HTTPS traffic and replace models or dependencies with inappropriate versions. This could lead to remote code execution in the Triton container. Impacted versions
PatchesThis issue has been addressed in SageMaker Python SDK version v3.1.1 and v2.256.0. It is recommended to upgrade to the latest version immediately and ensure any forked or derivative code is patched to incorporate the new fixes. WorkaroundsCustomers using self-signed certificates for internal model downloads should add their private Certificate Authority (CA) certificate to the container image rather than relying on the SDK’s previous insecure configuration. This opt-in approach maintains security while accommodating internal trusted domains. ReferencesIf there are any questions or comments about this advisory, contact AWS Security via the vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
1.0.0
1.0.1
1.0.2
1.1.0
1.1.1
1.1.2
1.1.3
1.10.0
1.10.1
1.11.0
1.11.1
1.11.2
+ 641 more Show less
1.11.3
1.12.0
1.13.0
1.14.0
1.14.1
1.14.2
1.15.0
1.15.1
1.15.2
1.16.1
1.16.1.post1
1.16.2
1.16.3
1.17.0
1.17.1
1.17.2
1.18.0
1.18.1
1.18.10
1.18.11
1.18.12
1.18.13
1.18.14
1.18.14.post0
1.18.14.post1
1.18.15
1.18.16
1.18.17
1.18.18
1.18.19
1.18.2
1.18.3
1.18.3.post1
1.18.4
1.18.5
1.18.6.post0
1.18.7
1.18.8
1.18.9
1.18.9.post0
1.18.9.post1
1.19.0
1.19.1
1.2.0
1.2.1
1.2.2
1.2.3
1.2.4
1.2.5
1.20.0
1.20.1
1.20.2
1.20.3
1.21.0
1.21.1
1.21.2
1.22.0
1.23.0
1.24.0
1.25.0
1.25.1
1.26.0
1.27.0
1.28.0
1.28.1
1.28.2
1.28.3
1.29.0
1.3.0
1.30.0
1.31.0
1.31.1
1.32.0
1.32.1
1.32.2
1.33.0
1.34.0
1.34.1
1.34.2
1.34.3
1.35.0
1.35.1
1.36.0
1.36.1
1.36.2
1.36.3
1.36.4
1.37.0
1.37.1
1.37.2
1.38.0
1.38.1
1.38.2
1.38.3
1.38.4
1.38.5
1.38.6
1.39.0
1.39.1
1.39.2
1.39.3
1.39.4
1.4.0
1.4.1
1.4.2
1.40.0
1.40.1
1.40.2
1.41.0
1.42.0
1.42.1
1.42.2
1.42.3
1.42.4
1.42.5
1.42.6
1.42.6.post0
1.42.7
1.42.8
1.42.9
1.43.0
1.43.1
1.43.2
1.43.3
1.43.4
1.43.4.post0
1.43.4.post1
1.43.5
1.44.0
1.44.1
1.44.2
1.44.3
1.44.4
1.45.0
1.45.1
1.45.2
1.46.0
1.47.1
1.48.0
1.48.1
1.49.0
1.5.0
1.5.1
1.5.2
1.5.3
1.5.4
1.50.0
1.50.1
1.50.10
1.50.10.post0
1.50.11
1.50.12
1.50.13
1.50.14
1.50.14.post0
1.50.15
1.50.16
1.50.17
1.50.17.post0
1.50.18
1.50.18.post0
1.50.2
1.50.3
1.50.4
1.50.5
1.50.6
1.50.6.post0
1.50.7
1.50.8
1.50.9
1.50.9.post0
1.51.0
1.51.1
1.51.2
1.51.3
1.51.4
1.52.0
1.52.0.post0
1.52.1
1.53.0
1.54.0
1.55.0
1.55.0.post0
1.55.1
1.55.2
1.55.3
1.55.4
1.56.0
1.56.1
1.56.1.post0
1.56.1.post1
1.56.2
1.56.3
1.57.0
1.58.0
1.58.1
1.58.2
1.58.2.post0
1.58.3
1.58.4
1.59.0
1.6.0
1.6.1
1.60.0
1.60.0.post0
1.60.1
1.60.2
1.61.0
1.62.0
1.63.0
1.64.0
1.64.1
1.65.0
1.65.1
1.65.1.post0
1.65.1.post1
1.66.0
1.67.0
1.67.1
1.67.1.post0
1.68.0
1.69.0
1.7.0
1.7.1
1.7.2
1.70.0
1.70.1
1.70.2
1.71.0
1.71.1
1.72.0
1.72.1
1.8.0
1.9.0
1.9.1
1.9.2
1.9.3
1.9.3.1
2.0.0
2.0.1
2.1.0
2.10.0
2.100.0
2.101.1
2.102.0
2.103.0
2.104.0
2.105.0
2.106.0
2.107.0
2.108.0
2.109.0
2.11.0
2.110.0
2.111.0
2.112.0
2.112.1
2.112.2
2.113.0
2.114.0
2.115.0
2.116.0
2.117.0
2.118.0
2.119.0
2.12.0
2.120.0
2.121.0
2.121.1
2.121.2
2.122.0
2.122.1.dev0
2.123.0
2.124.0
2.125.0
2.126.0
2.127.0
2.128.0
2.129.0
2.13.0
2.130.0
2.131.0
2.131.1
2.132.0
2.133.0
2.134.0
2.134.1
2.135.0
2.135.1
2.135.1.post0
2.136.0
2.137.0
2.138.0
2.139.0
2.14.0
2.140.0
2.140.1
2.141.0
2.142.0
2.143.0
2.144.0
2.145.0
2.146.0
2.146.1
2.147.0
2.148.0
2.149.0
2.15.0
2.15.1
2.15.2
2.15.3
2.15.4
2.150.0
2.151.0
2.152.0
2.153.0
2.154.0
2.155.0
2.156.0
2.157.0
2.158.0
2.159.0
2.16.0
2.16.0.post0
2.16.1
2.16.2
2.16.3
2.16.3.post0
2.16.4
2.160.0
2.161.0
2.162.0
2.163.0
2.164.0
2.165.0
2.166.0
2.167.0
2.168.0
2.169.0
2.17.0
2.170.0
2.171.0
2.172.0
2.173.0
2.174.0
2.175.0
2.176.0
2.177.0
2.177.1
2.178.0
2.179.0
2.18.0
2.180.0
2.181.0
2.182.0
2.183.0
2.184.0
2.184.0.post0
2.185.0
2.186.0
2.187.0
2.188.0
2.189.0
2.19.0
2.190.0
2.191.0
2.192.0
2.192.1
2.193.0
2.194.0
2.195.0
2.195.1
2.196.0
2.197.0
2.197.1
2.198.0
2.198.1
2.199.0
2.2.0
2.20.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
2.207.1
2.208.0
2.209.0
2.21.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.22.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.23.0
2.23.1
2.23.2
2.23.3
2.23.4
2.23.4.post0
2.23.5
2.23.6
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.24.0
2.24.1
2.24.2
2.24.3
2.24.4
2.24.5
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.25.0
2.25.1
2.25.2
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.26.0
2.27.0
2.27.1
2.28.0
2.29.0
2.29.1
2.29.2
2.3.0
2.30.0
2.31.0
2.31.1
2.32.0
2.32.1
2.33.0
2.34.0
2.35.0
2.36.0
2.37.0
2.38.0
2.39.0
2.39.0.post0
2.39.1
2.4.0
2.4.1
2.4.2
2.40.0
2.41.0
2.42.0
2.42.1
2.43.0
2.44.0
2.45.0
2.46.0
2.46.1
2.47.0
2.47.1
2.47.2
2.47.2.post0
2.48.0
2.48.1
2.48.2
2.49.0
2.49.1
2.49.2
2.5.0
2.5.1
2.5.2
2.5.3
2.5.4
2.5.5
2.50.0
2.50.1
2.51.0
2.52.0
2.52.1
2.52.2
2.52.2.post0
2.53.0
2.54.0
2.54.1.dev0
2.55.0
2.56.0
2.57.0
2.58.0
2.59.0
2.59.1
2.59.1.post0
2.59.2
2.59.3
2.59.3.post0
2.59.4
2.59.5
2.59.6
2.59.7
2.59.8
2.6.0
2.60.0
2.61.0
2.62.0
2.63.0
2.63.1
2.63.2
2.64.0
2.65.0
2.66.0
2.66.1
2.66.2
2.66.2.post0
2.67.0
2.68.0
2.69.0
2.7.0
2.70.0
2.71.0
2.72.0
2.72.1
2.72.2
2.72.3
2.73.0
2.74.0
2.75.0
2.75.1
2.76.0
2.77.0
2.77.1
2.78.0
2.79.0
2.8.0
2.80.0
2.81.0
2.81.1
2.82.0
2.82.1
2.82.2
2.83.0
2.84.0
2.85.0
2.86.0
2.86.1
2.86.2
2.87.0
2.88.0
2.88.1
2.88.2
2.88.3
2.89.0
2.9.0
2.9.1
2.9.2
2.90.0
2.91.0
2.91.1
2.92.0
2.92.1
2.92.2
2.93.0
2.93.1
2.94.0
2.95.0
2.96.0
2.97.0
2.98.0
2.99.0
3.0
3.0.1
3.1.0
Fixed in
2.256.0
3.1.1
References
Updated Jul 07, 2026 · Source: OSV.dev
GHSA-5r2p-pjr8-7fh7
Mar 05, 2026
SageMaker Python SDK replaced eval() with safe parser in JumpStart search functionality
High
Local
Low
None
SummaryThis advisory addresses the use of the search_hub() function within the SageMaker Python SDK's JumpStart search functionality. An actor with the ability to control query parameters passed to the search_hub() function could potentially provide malformed input that causes the eval() function to execute arbitrary commands, access sensitive data, or compromise the execution environment. A defense-in-depth enhancement has been implemented to replace code evaluation with safe string operations when processing search query parameters. This enhancement removes the use of eval() from the execution path, replacing it with a safe recursive descent parser. The change was released in SageMaker Python SDK version 3.4.0 on January 23, 2026. This advisory is informational to help customers understand their responsibilities regarding input validation and configuration security under the AWS Shared Responsibility Model. ImpactCustomer applications that pass unsanitized or untrusted input directly to the search_hub() function's query parameter could be prone to Remote Code Execution (RCE), potentially allowing attackers to execute arbitrary commands, access sensitive data, or compromise the execution environment. While the SDK was functioning within the requirements of the shared responsibility model—where input sanitization falls on the customer side—additional safeguards have been added to support secure customer implementations and provide defense-in-depth protection. Impacted versions: All versions of SageMaker Python SDK prior to 3.4.0 PatchesOn January 23, 2026, an enhancement was made to SageMaker Python SDK version 3.4.0, which replaces eval() with a safe recursive descent parser that uses string operations for pattern matching with proper operator precedence and exception handling. We recommend upgrading to version 3.4.0 or later, using the following command: Customers using forked or derivative code should incorporate the fixes from the referenced pull request. WorkaroundsNo workarounds are needed, but as always you should ensure that your application is following security best practices:
References
If you have any questions or comments about this advisory, contact AWS Security via our vulnerability reporting page or email aws-security@amazon.com. Please do not create a public GitHub issue. AcknowledgementWe thank Dan Aridor (@daridor9) and the security research community for bringing these customer security considerations to our attention through the coordinated disclosure process and for collaborating on this issue through responsible disclosure practices. Affected versions
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
Fixed in
3.4.0
References
Updated Oct 02, 2026 · Source: OSV.dev | ||
2.251.2.dev0
pre
4 CVEs
CVE-2026-8597
PYSEC-2026-3060
GHSA-rq6v-x3j8-7qgf
Jul 13, 2026
Amazon SageMaker Python SDK is missing integrity verification in its Triton inference handler
Low
Network
Low
High
None
SummaryAmazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the Triton inference handler deserializes model artifacts without performing integrity verification, allowing specially crafted pickle payloads to execute arbitrary code. ImpactWhen using ModelBuilder with the Triton inference server, the Triton handler did not perform integrity verification before deserializing model artifacts. A remote authenticated actor with S3 write access to the model artifact path could replace model files with a crafted payload that would execute automatically on the next container lifecycle event, achieving code execution with the SageMaker execution role's IAM permissions. Impacted versions: >= v2.199.0 AND <= v2.257.1, >= v3.0.0 AND <= v3.7.1 PatchesThis issue has been addressed in Amazon SageMaker Python SDK v2.257.2 and v3.8.0. The Triton inference handler now performs integrity verification before deserializing model artifacts. AWS recommend upgrading to the latest version and rebuilding any Triton models previously created with ModelBuilder using the updated SDK. Ensure any forked or derivative code is patched to incorporate the new fixes. WorkaroundsIf upgrading is not immediately possible, users should restrict S3 write access to model artifact paths to only trusted principals and monitor for unintended modifications to files in model artifact S3 locations. ReferencesIf there any questions or comments about this advisory, contact AWS Security via vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
2.199.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
+ 102 more Show less
2.207.1
2.208.0
2.209.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.256.0
2.256.1
2.257.0
2.257.1
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
3.4.0
3.4.1
3.5.0
3.6.0
3.7.0
3.7.1
Fixed in
2.257.2
3.8.0
References
Updated Jul 13, 2026 · Source: OSV.dev
CVE-2026-8596
PYSEC-2026-3059
GHSA-7hh5-prp2-mfh5
Jul 13, 2026
Cleartext storage of HMAC signing key in Amazon SageMaker Python SDK ModelBuilder/Serve path
High
Network
Low
High
None
SummaryAmazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the ModelBuilder/Serve component stores an HMAC signing key in cleartext as a container environment variable, which is returned in plaintext by SageMaker describe APIs. ImpactWhen using ModelBuilder to build and deploy models with affected model servers (TorchServe, Multi-Model Server, TensorFlow Serving, SMD, or Triton), the SDK generates an HMAC secret key for model artifact integrity verification and stores it as the SAGEMAKER_SERVE_SECRET_KEY environment variable in the SageMaker model container configuration. This environment variable is returned in plaintext by the DescribeModel, DescribeEndpointConfig, and DescribeModelPackage APIs. A remote authenticated actor with permissions to call these describe APIs and S3 write access to the model artifact path could extract the key, forge valid integrity signatures for specially crafted model artifacts, and achieve code execution in inference containers with the SageMaker execution role's IAM permissions. Impacted versions: >= v2.199.0 AND <= v2.257.1, >= v3.0.0 AND <= v3.7.1 PatchesThis issue has been addressed in Amazon SageMaker Python SDK v2.257.2 and v3.8.0. AWS recommend upgrading to the latest version and rebuilding any models previously created with ModelBuilder using the updated SDK. Models created with affected versions may still have the HMAC key stored in their container environment variables until they are rebuilt with the patched SDK. Ensure any forked or derivative code is patched to incorporate the new fixes. WorkaroundsIf upgrading is not immediately possible, users can manually remove the SAGEMAKER_SERVE_SECRET_KEY environment variable from existing SageMaker models by recreating the model without this variable in the container environment configuration. ReferencesIf there any questions or comments about this advisory, contact AWS Security via the vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
2.199.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
+ 102 more Show less
2.207.1
2.208.0
2.209.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.256.0
2.256.1
2.257.0
2.257.1
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
3.4.0
3.4.1
3.5.0
3.6.0
3.7.0
3.7.1
Fixed in
2.257.2
3.8.0
References
Updated Jul 13, 2026 · Source: OSV.dev
CVE-2026-1777
PYSEC-2026-1888
GHSA-rjrp-m2jw-pv9c
Jul 07, 2026
SageMaker Python SDK has Exposed HMAC
Critical
Network
Low
Low
None
SummarySageMaker Python SDK is an open source library for training and deploying machine learning models on Amazon SageMaker. An issue where the HMAC secret key is stored in environment variables and disclosed via the DescribeTrainingJob API has been identified. Impact
Impacted versions
PatchesThis issue has been addressed in SageMaker Python SDK version v3.2.0 and v2.256.0. Upgrading to the latest version immediately and ensuring any forked or derivative code is patched to incorporate the new fixes is recommended. WorkaroundsCustomers using self-signed certificates for internal model downloads should add their private Certificate Authority (CA) certificate to the container image rather than relying on the SDK’s previous insecure configuration. This opt-in approach maintains security while accommodating internal trusted domains. ResourcesIf there are any questions or comments about this advisory, contact AWS Security via the vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
1.0.0
1.0.1
1.0.2
1.1.0
1.1.1
1.1.2
1.1.3
1.10.0
1.10.1
1.11.0
1.11.1
1.11.2
+ 642 more Show less
1.11.3
1.12.0
1.13.0
1.14.0
1.14.1
1.14.2
1.15.0
1.15.1
1.15.2
1.16.1
1.16.1.post1
1.16.2
1.16.3
1.17.0
1.17.1
1.17.2
1.18.0
1.18.1
1.18.10
1.18.11
1.18.12
1.18.13
1.18.14
1.18.14.post0
1.18.14.post1
1.18.15
1.18.16
1.18.17
1.18.18
1.18.19
1.18.2
1.18.3
1.18.3.post1
1.18.4
1.18.5
1.18.6.post0
1.18.7
1.18.8
1.18.9
1.18.9.post0
1.18.9.post1
1.19.0
1.19.1
1.2.0
1.2.1
1.2.2
1.2.3
1.2.4
1.2.5
1.20.0
1.20.1
1.20.2
1.20.3
1.21.0
1.21.1
1.21.2
1.22.0
1.23.0
1.24.0
1.25.0
1.25.1
1.26.0
1.27.0
1.28.0
1.28.1
1.28.2
1.28.3
1.29.0
1.3.0
1.30.0
1.31.0
1.31.1
1.32.0
1.32.1
1.32.2
1.33.0
1.34.0
1.34.1
1.34.2
1.34.3
1.35.0
1.35.1
1.36.0
1.36.1
1.36.2
1.36.3
1.36.4
1.37.0
1.37.1
1.37.2
1.38.0
1.38.1
1.38.2
1.38.3
1.38.4
1.38.5
1.38.6
1.39.0
1.39.1
1.39.2
1.39.3
1.39.4
1.4.0
1.4.1
1.4.2
1.40.0
1.40.1
1.40.2
1.41.0
1.42.0
1.42.1
1.42.2
1.42.3
1.42.4
1.42.5
1.42.6
1.42.6.post0
1.42.7
1.42.8
1.42.9
1.43.0
1.43.1
1.43.2
1.43.3
1.43.4
1.43.4.post0
1.43.4.post1
1.43.5
1.44.0
1.44.1
1.44.2
1.44.3
1.44.4
1.45.0
1.45.1
1.45.2
1.46.0
1.47.1
1.48.0
1.48.1
1.49.0
1.5.0
1.5.1
1.5.2
1.5.3
1.5.4
1.50.0
1.50.1
1.50.10
1.50.10.post0
1.50.11
1.50.12
1.50.13
1.50.14
1.50.14.post0
1.50.15
1.50.16
1.50.17
1.50.17.post0
1.50.18
1.50.18.post0
1.50.2
1.50.3
1.50.4
1.50.5
1.50.6
1.50.6.post0
1.50.7
1.50.8
1.50.9
1.50.9.post0
1.51.0
1.51.1
1.51.2
1.51.3
1.51.4
1.52.0
1.52.0.post0
1.52.1
1.53.0
1.54.0
1.55.0
1.55.0.post0
1.55.1
1.55.2
1.55.3
1.55.4
1.56.0
1.56.1
1.56.1.post0
1.56.1.post1
1.56.2
1.56.3
1.57.0
1.58.0
1.58.1
1.58.2
1.58.2.post0
1.58.3
1.58.4
1.59.0
1.6.0
1.6.1
1.60.0
1.60.0.post0
1.60.1
1.60.2
1.61.0
1.62.0
1.63.0
1.64.0
1.64.1
1.65.0
1.65.1
1.65.1.post0
1.65.1.post1
1.66.0
1.67.0
1.67.1
1.67.1.post0
1.68.0
1.69.0
1.7.0
1.7.1
1.7.2
1.70.0
1.70.1
1.70.2
1.71.0
1.71.1
1.72.0
1.72.1
1.8.0
1.9.0
1.9.1
1.9.2
1.9.3
1.9.3.1
2.0.0
2.0.1
2.1.0
2.10.0
2.100.0
2.101.1
2.102.0
2.103.0
2.104.0
2.105.0
2.106.0
2.107.0
2.108.0
2.109.0
2.11.0
2.110.0
2.111.0
2.112.0
2.112.1
2.112.2
2.113.0
2.114.0
2.115.0
2.116.0
2.117.0
2.118.0
2.119.0
2.12.0
2.120.0
2.121.0
2.121.1
2.121.2
2.122.0
2.122.1.dev0
2.123.0
2.124.0
2.125.0
2.126.0
2.127.0
2.128.0
2.129.0
2.13.0
2.130.0
2.131.0
2.131.1
2.132.0
2.133.0
2.134.0
2.134.1
2.135.0
2.135.1
2.135.1.post0
2.136.0
2.137.0
2.138.0
2.139.0
2.14.0
2.140.0
2.140.1
2.141.0
2.142.0
2.143.0
2.144.0
2.145.0
2.146.0
2.146.1
2.147.0
2.148.0
2.149.0
2.15.0
2.15.1
2.15.2
2.15.3
2.15.4
2.150.0
2.151.0
2.152.0
2.153.0
2.154.0
2.155.0
2.156.0
2.157.0
2.158.0
2.159.0
2.16.0
2.16.0.post0
2.16.1
2.16.2
2.16.3
2.16.3.post0
2.16.4
2.160.0
2.161.0
2.162.0
2.163.0
2.164.0
2.165.0
2.166.0
2.167.0
2.168.0
2.169.0
2.17.0
2.170.0
2.171.0
2.172.0
2.173.0
2.174.0
2.175.0
2.176.0
2.177.0
2.177.1
2.178.0
2.179.0
2.18.0
2.180.0
2.181.0
2.182.0
2.183.0
2.184.0
2.184.0.post0
2.185.0
2.186.0
2.187.0
2.188.0
2.189.0
2.19.0
2.190.0
2.191.0
2.192.0
2.192.1
2.193.0
2.194.0
2.195.0
2.195.1
2.196.0
2.197.0
2.197.1
2.198.0
2.198.1
2.199.0
2.2.0
2.20.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
2.207.1
2.208.0
2.209.0
2.21.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.22.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.23.0
2.23.1
2.23.2
2.23.3
2.23.4
2.23.4.post0
2.23.5
2.23.6
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.24.0
2.24.1
2.24.2
2.24.3
2.24.4
2.24.5
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.25.0
2.25.1
2.25.2
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.26.0
2.27.0
2.27.1
2.28.0
2.29.0
2.29.1
2.29.2
2.3.0
2.30.0
2.31.0
2.31.1
2.32.0
2.32.1
2.33.0
2.34.0
2.35.0
2.36.0
2.37.0
2.38.0
2.39.0
2.39.0.post0
2.39.1
2.4.0
2.4.1
2.4.2
2.40.0
2.41.0
2.42.0
2.42.1
2.43.0
2.44.0
2.45.0
2.46.0
2.46.1
2.47.0
2.47.1
2.47.2
2.47.2.post0
2.48.0
2.48.1
2.48.2
2.49.0
2.49.1
2.49.2
2.5.0
2.5.1
2.5.2
2.5.3
2.5.4
2.5.5
2.50.0
2.50.1
2.51.0
2.52.0
2.52.1
2.52.2
2.52.2.post0
2.53.0
2.54.0
2.54.1.dev0
2.55.0
2.56.0
2.57.0
2.58.0
2.59.0
2.59.1
2.59.1.post0
2.59.2
2.59.3
2.59.3.post0
2.59.4
2.59.5
2.59.6
2.59.7
2.59.8
2.6.0
2.60.0
2.61.0
2.62.0
2.63.0
2.63.1
2.63.2
2.64.0
2.65.0
2.66.0
2.66.1
2.66.2
2.66.2.post0
2.67.0
2.68.0
2.69.0
2.7.0
2.70.0
2.71.0
2.72.0
2.72.1
2.72.2
2.72.3
2.73.0
2.74.0
2.75.0
2.75.1
2.76.0
2.77.0
2.77.1
2.78.0
2.79.0
2.8.0
2.80.0
2.81.0
2.81.1
2.82.0
2.82.1
2.82.2
2.83.0
2.84.0
2.85.0
2.86.0
2.86.1
2.86.2
2.87.0
2.88.0
2.88.1
2.88.2
2.88.3
2.89.0
2.9.0
2.9.1
2.9.2
2.90.0
2.91.0
2.91.1
2.92.0
2.92.1
2.92.2
2.93.0
2.93.1
2.94.0
2.95.0
2.96.0
2.97.0
2.98.0
2.99.0
3.0
3.0.1
3.1.0
3.1.1
Fixed in
2.256.0
3.2.0
References
Updated Jul 07, 2026 · Source: OSV.dev
CVE-2026-1778
PYSEC-2026-1886
GHSA-62rc-f4v9-h543
Jul 07, 2026
SageMaker Python SDK has Insecure TLS Configuration
Critical
Network
Low
Low
None
SummarySageMaker Python SDK is an open source library for training and deploying machine learning models on Amazon SageMaker. An issue where SSL certificate verification was globally disabled in the Triton Python backend has been found. ImpactArbitrary Code Execution: Disabling SSL verification allows third parties to intercept HTTPS traffic and replace models or dependencies with inappropriate versions. This could lead to remote code execution in the Triton container. Impacted versions
PatchesThis issue has been addressed in SageMaker Python SDK version v3.1.1 and v2.256.0. It is recommended to upgrade to the latest version immediately and ensure any forked or derivative code is patched to incorporate the new fixes. WorkaroundsCustomers using self-signed certificates for internal model downloads should add their private Certificate Authority (CA) certificate to the container image rather than relying on the SDK’s previous insecure configuration. This opt-in approach maintains security while accommodating internal trusted domains. ReferencesIf there are any questions or comments about this advisory, contact AWS Security via the vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
1.0.0
1.0.1
1.0.2
1.1.0
1.1.1
1.1.2
1.1.3
1.10.0
1.10.1
1.11.0
1.11.1
1.11.2
+ 641 more Show less
1.11.3
1.12.0
1.13.0
1.14.0
1.14.1
1.14.2
1.15.0
1.15.1
1.15.2
1.16.1
1.16.1.post1
1.16.2
1.16.3
1.17.0
1.17.1
1.17.2
1.18.0
1.18.1
1.18.10
1.18.11
1.18.12
1.18.13
1.18.14
1.18.14.post0
1.18.14.post1
1.18.15
1.18.16
1.18.17
1.18.18
1.18.19
1.18.2
1.18.3
1.18.3.post1
1.18.4
1.18.5
1.18.6.post0
1.18.7
1.18.8
1.18.9
1.18.9.post0
1.18.9.post1
1.19.0
1.19.1
1.2.0
1.2.1
1.2.2
1.2.3
1.2.4
1.2.5
1.20.0
1.20.1
1.20.2
1.20.3
1.21.0
1.21.1
1.21.2
1.22.0
1.23.0
1.24.0
1.25.0
1.25.1
1.26.0
1.27.0
1.28.0
1.28.1
1.28.2
1.28.3
1.29.0
1.3.0
1.30.0
1.31.0
1.31.1
1.32.0
1.32.1
1.32.2
1.33.0
1.34.0
1.34.1
1.34.2
1.34.3
1.35.0
1.35.1
1.36.0
1.36.1
1.36.2
1.36.3
1.36.4
1.37.0
1.37.1
1.37.2
1.38.0
1.38.1
1.38.2
1.38.3
1.38.4
1.38.5
1.38.6
1.39.0
1.39.1
1.39.2
1.39.3
1.39.4
1.4.0
1.4.1
1.4.2
1.40.0
1.40.1
1.40.2
1.41.0
1.42.0
1.42.1
1.42.2
1.42.3
1.42.4
1.42.5
1.42.6
1.42.6.post0
1.42.7
1.42.8
1.42.9
1.43.0
1.43.1
1.43.2
1.43.3
1.43.4
1.43.4.post0
1.43.4.post1
1.43.5
1.44.0
1.44.1
1.44.2
1.44.3
1.44.4
1.45.0
1.45.1
1.45.2
1.46.0
1.47.1
1.48.0
1.48.1
1.49.0
1.5.0
1.5.1
1.5.2
1.5.3
1.5.4
1.50.0
1.50.1
1.50.10
1.50.10.post0
1.50.11
1.50.12
1.50.13
1.50.14
1.50.14.post0
1.50.15
1.50.16
1.50.17
1.50.17.post0
1.50.18
1.50.18.post0
1.50.2
1.50.3
1.50.4
1.50.5
1.50.6
1.50.6.post0
1.50.7
1.50.8
1.50.9
1.50.9.post0
1.51.0
1.51.1
1.51.2
1.51.3
1.51.4
1.52.0
1.52.0.post0
1.52.1
1.53.0
1.54.0
1.55.0
1.55.0.post0
1.55.1
1.55.2
1.55.3
1.55.4
1.56.0
1.56.1
1.56.1.post0
1.56.1.post1
1.56.2
1.56.3
1.57.0
1.58.0
1.58.1
1.58.2
1.58.2.post0
1.58.3
1.58.4
1.59.0
1.6.0
1.6.1
1.60.0
1.60.0.post0
1.60.1
1.60.2
1.61.0
1.62.0
1.63.0
1.64.0
1.64.1
1.65.0
1.65.1
1.65.1.post0
1.65.1.post1
1.66.0
1.67.0
1.67.1
1.67.1.post0
1.68.0
1.69.0
1.7.0
1.7.1
1.7.2
1.70.0
1.70.1
1.70.2
1.71.0
1.71.1
1.72.0
1.72.1
1.8.0
1.9.0
1.9.1
1.9.2
1.9.3
1.9.3.1
2.0.0
2.0.1
2.1.0
2.10.0
2.100.0
2.101.1
2.102.0
2.103.0
2.104.0
2.105.0
2.106.0
2.107.0
2.108.0
2.109.0
2.11.0
2.110.0
2.111.0
2.112.0
2.112.1
2.112.2
2.113.0
2.114.0
2.115.0
2.116.0
2.117.0
2.118.0
2.119.0
2.12.0
2.120.0
2.121.0
2.121.1
2.121.2
2.122.0
2.122.1.dev0
2.123.0
2.124.0
2.125.0
2.126.0
2.127.0
2.128.0
2.129.0
2.13.0
2.130.0
2.131.0
2.131.1
2.132.0
2.133.0
2.134.0
2.134.1
2.135.0
2.135.1
2.135.1.post0
2.136.0
2.137.0
2.138.0
2.139.0
2.14.0
2.140.0
2.140.1
2.141.0
2.142.0
2.143.0
2.144.0
2.145.0
2.146.0
2.146.1
2.147.0
2.148.0
2.149.0
2.15.0
2.15.1
2.15.2
2.15.3
2.15.4
2.150.0
2.151.0
2.152.0
2.153.0
2.154.0
2.155.0
2.156.0
2.157.0
2.158.0
2.159.0
2.16.0
2.16.0.post0
2.16.1
2.16.2
2.16.3
2.16.3.post0
2.16.4
2.160.0
2.161.0
2.162.0
2.163.0
2.164.0
2.165.0
2.166.0
2.167.0
2.168.0
2.169.0
2.17.0
2.170.0
2.171.0
2.172.0
2.173.0
2.174.0
2.175.0
2.176.0
2.177.0
2.177.1
2.178.0
2.179.0
2.18.0
2.180.0
2.181.0
2.182.0
2.183.0
2.184.0
2.184.0.post0
2.185.0
2.186.0
2.187.0
2.188.0
2.189.0
2.19.0
2.190.0
2.191.0
2.192.0
2.192.1
2.193.0
2.194.0
2.195.0
2.195.1
2.196.0
2.197.0
2.197.1
2.198.0
2.198.1
2.199.0
2.2.0
2.20.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
2.207.1
2.208.0
2.209.0
2.21.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.22.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.23.0
2.23.1
2.23.2
2.23.3
2.23.4
2.23.4.post0
2.23.5
2.23.6
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.24.0
2.24.1
2.24.2
2.24.3
2.24.4
2.24.5
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.25.0
2.25.1
2.25.2
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.26.0
2.27.0
2.27.1
2.28.0
2.29.0
2.29.1
2.29.2
2.3.0
2.30.0
2.31.0
2.31.1
2.32.0
2.32.1
2.33.0
2.34.0
2.35.0
2.36.0
2.37.0
2.38.0
2.39.0
2.39.0.post0
2.39.1
2.4.0
2.4.1
2.4.2
2.40.0
2.41.0
2.42.0
2.42.1
2.43.0
2.44.0
2.45.0
2.46.0
2.46.1
2.47.0
2.47.1
2.47.2
2.47.2.post0
2.48.0
2.48.1
2.48.2
2.49.0
2.49.1
2.49.2
2.5.0
2.5.1
2.5.2
2.5.3
2.5.4
2.5.5
2.50.0
2.50.1
2.51.0
2.52.0
2.52.1
2.52.2
2.52.2.post0
2.53.0
2.54.0
2.54.1.dev0
2.55.0
2.56.0
2.57.0
2.58.0
2.59.0
2.59.1
2.59.1.post0
2.59.2
2.59.3
2.59.3.post0
2.59.4
2.59.5
2.59.6
2.59.7
2.59.8
2.6.0
2.60.0
2.61.0
2.62.0
2.63.0
2.63.1
2.63.2
2.64.0
2.65.0
2.66.0
2.66.1
2.66.2
2.66.2.post0
2.67.0
2.68.0
2.69.0
2.7.0
2.70.0
2.71.0
2.72.0
2.72.1
2.72.2
2.72.3
2.73.0
2.74.0
2.75.0
2.75.1
2.76.0
2.77.0
2.77.1
2.78.0
2.79.0
2.8.0
2.80.0
2.81.0
2.81.1
2.82.0
2.82.1
2.82.2
2.83.0
2.84.0
2.85.0
2.86.0
2.86.1
2.86.2
2.87.0
2.88.0
2.88.1
2.88.2
2.88.3
2.89.0
2.9.0
2.9.1
2.9.2
2.90.0
2.91.0
2.91.1
2.92.0
2.92.1
2.92.2
2.93.0
2.93.1
2.94.0
2.95.0
2.96.0
2.97.0
2.98.0
2.99.0
3.0
3.0.1
3.1.0
Fixed in
2.256.0
3.1.1
References
Updated Jul 07, 2026 · Source: OSV.dev | ||
2.255.0
minor
4 CVEs
CVE-2026-8597
PYSEC-2026-3060
GHSA-rq6v-x3j8-7qgf
Jul 13, 2026
Amazon SageMaker Python SDK is missing integrity verification in its Triton inference handler
Low
Network
Low
High
None
SummaryAmazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the Triton inference handler deserializes model artifacts without performing integrity verification, allowing specially crafted pickle payloads to execute arbitrary code. ImpactWhen using ModelBuilder with the Triton inference server, the Triton handler did not perform integrity verification before deserializing model artifacts. A remote authenticated actor with S3 write access to the model artifact path could replace model files with a crafted payload that would execute automatically on the next container lifecycle event, achieving code execution with the SageMaker execution role's IAM permissions. Impacted versions: >= v2.199.0 AND <= v2.257.1, >= v3.0.0 AND <= v3.7.1 PatchesThis issue has been addressed in Amazon SageMaker Python SDK v2.257.2 and v3.8.0. The Triton inference handler now performs integrity verification before deserializing model artifacts. AWS recommend upgrading to the latest version and rebuilding any Triton models previously created with ModelBuilder using the updated SDK. Ensure any forked or derivative code is patched to incorporate the new fixes. WorkaroundsIf upgrading is not immediately possible, users should restrict S3 write access to model artifact paths to only trusted principals and monitor for unintended modifications to files in model artifact S3 locations. ReferencesIf there any questions or comments about this advisory, contact AWS Security via vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
2.199.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
+ 102 more Show less
2.207.1
2.208.0
2.209.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.256.0
2.256.1
2.257.0
2.257.1
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
3.4.0
3.4.1
3.5.0
3.6.0
3.7.0
3.7.1
Fixed in
2.257.2
3.8.0
References
Updated Jul 13, 2026 · Source: OSV.dev
CVE-2026-8596
PYSEC-2026-3059
GHSA-7hh5-prp2-mfh5
Jul 13, 2026
Cleartext storage of HMAC signing key in Amazon SageMaker Python SDK ModelBuilder/Serve path
High
Network
Low
High
None
SummaryAmazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the ModelBuilder/Serve component stores an HMAC signing key in cleartext as a container environment variable, which is returned in plaintext by SageMaker describe APIs. ImpactWhen using ModelBuilder to build and deploy models with affected model servers (TorchServe, Multi-Model Server, TensorFlow Serving, SMD, or Triton), the SDK generates an HMAC secret key for model artifact integrity verification and stores it as the SAGEMAKER_SERVE_SECRET_KEY environment variable in the SageMaker model container configuration. This environment variable is returned in plaintext by the DescribeModel, DescribeEndpointConfig, and DescribeModelPackage APIs. A remote authenticated actor with permissions to call these describe APIs and S3 write access to the model artifact path could extract the key, forge valid integrity signatures for specially crafted model artifacts, and achieve code execution in inference containers with the SageMaker execution role's IAM permissions. Impacted versions: >= v2.199.0 AND <= v2.257.1, >= v3.0.0 AND <= v3.7.1 PatchesThis issue has been addressed in Amazon SageMaker Python SDK v2.257.2 and v3.8.0. AWS recommend upgrading to the latest version and rebuilding any models previously created with ModelBuilder using the updated SDK. Models created with affected versions may still have the HMAC key stored in their container environment variables until they are rebuilt with the patched SDK. Ensure any forked or derivative code is patched to incorporate the new fixes. WorkaroundsIf upgrading is not immediately possible, users can manually remove the SAGEMAKER_SERVE_SECRET_KEY environment variable from existing SageMaker models by recreating the model without this variable in the container environment configuration. ReferencesIf there any questions or comments about this advisory, contact AWS Security via the vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
2.199.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
+ 102 more Show less
2.207.1
2.208.0
2.209.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.256.0
2.256.1
2.257.0
2.257.1
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
3.4.0
3.4.1
3.5.0
3.6.0
3.7.0
3.7.1
Fixed in
2.257.2
3.8.0
References
Updated Jul 13, 2026 · Source: OSV.dev
CVE-2026-1777
PYSEC-2026-1888
GHSA-rjrp-m2jw-pv9c
Jul 07, 2026
SageMaker Python SDK has Exposed HMAC
Critical
Network
Low
Low
None
SummarySageMaker Python SDK is an open source library for training and deploying machine learning models on Amazon SageMaker. An issue where the HMAC secret key is stored in environment variables and disclosed via the DescribeTrainingJob API has been identified. Impact
Impacted versions
PatchesThis issue has been addressed in SageMaker Python SDK version v3.2.0 and v2.256.0. Upgrading to the latest version immediately and ensuring any forked or derivative code is patched to incorporate the new fixes is recommended. WorkaroundsCustomers using self-signed certificates for internal model downloads should add their private Certificate Authority (CA) certificate to the container image rather than relying on the SDK’s previous insecure configuration. This opt-in approach maintains security while accommodating internal trusted domains. ResourcesIf there are any questions or comments about this advisory, contact AWS Security via the vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
1.0.0
1.0.1
1.0.2
1.1.0
1.1.1
1.1.2
1.1.3
1.10.0
1.10.1
1.11.0
1.11.1
1.11.2
+ 642 more Show less
1.11.3
1.12.0
1.13.0
1.14.0
1.14.1
1.14.2
1.15.0
1.15.1
1.15.2
1.16.1
1.16.1.post1
1.16.2
1.16.3
1.17.0
1.17.1
1.17.2
1.18.0
1.18.1
1.18.10
1.18.11
1.18.12
1.18.13
1.18.14
1.18.14.post0
1.18.14.post1
1.18.15
1.18.16
1.18.17
1.18.18
1.18.19
1.18.2
1.18.3
1.18.3.post1
1.18.4
1.18.5
1.18.6.post0
1.18.7
1.18.8
1.18.9
1.18.9.post0
1.18.9.post1
1.19.0
1.19.1
1.2.0
1.2.1
1.2.2
1.2.3
1.2.4
1.2.5
1.20.0
1.20.1
1.20.2
1.20.3
1.21.0
1.21.1
1.21.2
1.22.0
1.23.0
1.24.0
1.25.0
1.25.1
1.26.0
1.27.0
1.28.0
1.28.1
1.28.2
1.28.3
1.29.0
1.3.0
1.30.0
1.31.0
1.31.1
1.32.0
1.32.1
1.32.2
1.33.0
1.34.0
1.34.1
1.34.2
1.34.3
1.35.0
1.35.1
1.36.0
1.36.1
1.36.2
1.36.3
1.36.4
1.37.0
1.37.1
1.37.2
1.38.0
1.38.1
1.38.2
1.38.3
1.38.4
1.38.5
1.38.6
1.39.0
1.39.1
1.39.2
1.39.3
1.39.4
1.4.0
1.4.1
1.4.2
1.40.0
1.40.1
1.40.2
1.41.0
1.42.0
1.42.1
1.42.2
1.42.3
1.42.4
1.42.5
1.42.6
1.42.6.post0
1.42.7
1.42.8
1.42.9
1.43.0
1.43.1
1.43.2
1.43.3
1.43.4
1.43.4.post0
1.43.4.post1
1.43.5
1.44.0
1.44.1
1.44.2
1.44.3
1.44.4
1.45.0
1.45.1
1.45.2
1.46.0
1.47.1
1.48.0
1.48.1
1.49.0
1.5.0
1.5.1
1.5.2
1.5.3
1.5.4
1.50.0
1.50.1
1.50.10
1.50.10.post0
1.50.11
1.50.12
1.50.13
1.50.14
1.50.14.post0
1.50.15
1.50.16
1.50.17
1.50.17.post0
1.50.18
1.50.18.post0
1.50.2
1.50.3
1.50.4
1.50.5
1.50.6
1.50.6.post0
1.50.7
1.50.8
1.50.9
1.50.9.post0
1.51.0
1.51.1
1.51.2
1.51.3
1.51.4
1.52.0
1.52.0.post0
1.52.1
1.53.0
1.54.0
1.55.0
1.55.0.post0
1.55.1
1.55.2
1.55.3
1.55.4
1.56.0
1.56.1
1.56.1.post0
1.56.1.post1
1.56.2
1.56.3
1.57.0
1.58.0
1.58.1
1.58.2
1.58.2.post0
1.58.3
1.58.4
1.59.0
1.6.0
1.6.1
1.60.0
1.60.0.post0
1.60.1
1.60.2
1.61.0
1.62.0
1.63.0
1.64.0
1.64.1
1.65.0
1.65.1
1.65.1.post0
1.65.1.post1
1.66.0
1.67.0
1.67.1
1.67.1.post0
1.68.0
1.69.0
1.7.0
1.7.1
1.7.2
1.70.0
1.70.1
1.70.2
1.71.0
1.71.1
1.72.0
1.72.1
1.8.0
1.9.0
1.9.1
1.9.2
1.9.3
1.9.3.1
2.0.0
2.0.1
2.1.0
2.10.0
2.100.0
2.101.1
2.102.0
2.103.0
2.104.0
2.105.0
2.106.0
2.107.0
2.108.0
2.109.0
2.11.0
2.110.0
2.111.0
2.112.0
2.112.1
2.112.2
2.113.0
2.114.0
2.115.0
2.116.0
2.117.0
2.118.0
2.119.0
2.12.0
2.120.0
2.121.0
2.121.1
2.121.2
2.122.0
2.122.1.dev0
2.123.0
2.124.0
2.125.0
2.126.0
2.127.0
2.128.0
2.129.0
2.13.0
2.130.0
2.131.0
2.131.1
2.132.0
2.133.0
2.134.0
2.134.1
2.135.0
2.135.1
2.135.1.post0
2.136.0
2.137.0
2.138.0
2.139.0
2.14.0
2.140.0
2.140.1
2.141.0
2.142.0
2.143.0
2.144.0
2.145.0
2.146.0
2.146.1
2.147.0
2.148.0
2.149.0
2.15.0
2.15.1
2.15.2
2.15.3
2.15.4
2.150.0
2.151.0
2.152.0
2.153.0
2.154.0
2.155.0
2.156.0
2.157.0
2.158.0
2.159.0
2.16.0
2.16.0.post0
2.16.1
2.16.2
2.16.3
2.16.3.post0
2.16.4
2.160.0
2.161.0
2.162.0
2.163.0
2.164.0
2.165.0
2.166.0
2.167.0
2.168.0
2.169.0
2.17.0
2.170.0
2.171.0
2.172.0
2.173.0
2.174.0
2.175.0
2.176.0
2.177.0
2.177.1
2.178.0
2.179.0
2.18.0
2.180.0
2.181.0
2.182.0
2.183.0
2.184.0
2.184.0.post0
2.185.0
2.186.0
2.187.0
2.188.0
2.189.0
2.19.0
2.190.0
2.191.0
2.192.0
2.192.1
2.193.0
2.194.0
2.195.0
2.195.1
2.196.0
2.197.0
2.197.1
2.198.0
2.198.1
2.199.0
2.2.0
2.20.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
2.207.1
2.208.0
2.209.0
2.21.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.22.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.23.0
2.23.1
2.23.2
2.23.3
2.23.4
2.23.4.post0
2.23.5
2.23.6
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.24.0
2.24.1
2.24.2
2.24.3
2.24.4
2.24.5
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.25.0
2.25.1
2.25.2
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.26.0
2.27.0
2.27.1
2.28.0
2.29.0
2.29.1
2.29.2
2.3.0
2.30.0
2.31.0
2.31.1
2.32.0
2.32.1
2.33.0
2.34.0
2.35.0
2.36.0
2.37.0
2.38.0
2.39.0
2.39.0.post0
2.39.1
2.4.0
2.4.1
2.4.2
2.40.0
2.41.0
2.42.0
2.42.1
2.43.0
2.44.0
2.45.0
2.46.0
2.46.1
2.47.0
2.47.1
2.47.2
2.47.2.post0
2.48.0
2.48.1
2.48.2
2.49.0
2.49.1
2.49.2
2.5.0
2.5.1
2.5.2
2.5.3
2.5.4
2.5.5
2.50.0
2.50.1
2.51.0
2.52.0
2.52.1
2.52.2
2.52.2.post0
2.53.0
2.54.0
2.54.1.dev0
2.55.0
2.56.0
2.57.0
2.58.0
2.59.0
2.59.1
2.59.1.post0
2.59.2
2.59.3
2.59.3.post0
2.59.4
2.59.5
2.59.6
2.59.7
2.59.8
2.6.0
2.60.0
2.61.0
2.62.0
2.63.0
2.63.1
2.63.2
2.64.0
2.65.0
2.66.0
2.66.1
2.66.2
2.66.2.post0
2.67.0
2.68.0
2.69.0
2.7.0
2.70.0
2.71.0
2.72.0
2.72.1
2.72.2
2.72.3
2.73.0
2.74.0
2.75.0
2.75.1
2.76.0
2.77.0
2.77.1
2.78.0
2.79.0
2.8.0
2.80.0
2.81.0
2.81.1
2.82.0
2.82.1
2.82.2
2.83.0
2.84.0
2.85.0
2.86.0
2.86.1
2.86.2
2.87.0
2.88.0
2.88.1
2.88.2
2.88.3
2.89.0
2.9.0
2.9.1
2.9.2
2.90.0
2.91.0
2.91.1
2.92.0
2.92.1
2.92.2
2.93.0
2.93.1
2.94.0
2.95.0
2.96.0
2.97.0
2.98.0
2.99.0
3.0
3.0.1
3.1.0
3.1.1
Fixed in
2.256.0
3.2.0
References
Updated Jul 07, 2026 · Source: OSV.dev
CVE-2026-1778
PYSEC-2026-1886
GHSA-62rc-f4v9-h543
Jul 07, 2026
SageMaker Python SDK has Insecure TLS Configuration
Critical
Network
Low
Low
None
SummarySageMaker Python SDK is an open source library for training and deploying machine learning models on Amazon SageMaker. An issue where SSL certificate verification was globally disabled in the Triton Python backend has been found. ImpactArbitrary Code Execution: Disabling SSL verification allows third parties to intercept HTTPS traffic and replace models or dependencies with inappropriate versions. This could lead to remote code execution in the Triton container. Impacted versions
PatchesThis issue has been addressed in SageMaker Python SDK version v3.1.1 and v2.256.0. It is recommended to upgrade to the latest version immediately and ensure any forked or derivative code is patched to incorporate the new fixes. WorkaroundsCustomers using self-signed certificates for internal model downloads should add their private Certificate Authority (CA) certificate to the container image rather than relying on the SDK’s previous insecure configuration. This opt-in approach maintains security while accommodating internal trusted domains. ReferencesIf there are any questions or comments about this advisory, contact AWS Security via the vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
1.0.0
1.0.1
1.0.2
1.1.0
1.1.1
1.1.2
1.1.3
1.10.0
1.10.1
1.11.0
1.11.1
1.11.2
+ 641 more Show less
1.11.3
1.12.0
1.13.0
1.14.0
1.14.1
1.14.2
1.15.0
1.15.1
1.15.2
1.16.1
1.16.1.post1
1.16.2
1.16.3
1.17.0
1.17.1
1.17.2
1.18.0
1.18.1
1.18.10
1.18.11
1.18.12
1.18.13
1.18.14
1.18.14.post0
1.18.14.post1
1.18.15
1.18.16
1.18.17
1.18.18
1.18.19
1.18.2
1.18.3
1.18.3.post1
1.18.4
1.18.5
1.18.6.post0
1.18.7
1.18.8
1.18.9
1.18.9.post0
1.18.9.post1
1.19.0
1.19.1
1.2.0
1.2.1
1.2.2
1.2.3
1.2.4
1.2.5
1.20.0
1.20.1
1.20.2
1.20.3
1.21.0
1.21.1
1.21.2
1.22.0
1.23.0
1.24.0
1.25.0
1.25.1
1.26.0
1.27.0
1.28.0
1.28.1
1.28.2
1.28.3
1.29.0
1.3.0
1.30.0
1.31.0
1.31.1
1.32.0
1.32.1
1.32.2
1.33.0
1.34.0
1.34.1
1.34.2
1.34.3
1.35.0
1.35.1
1.36.0
1.36.1
1.36.2
1.36.3
1.36.4
1.37.0
1.37.1
1.37.2
1.38.0
1.38.1
1.38.2
1.38.3
1.38.4
1.38.5
1.38.6
1.39.0
1.39.1
1.39.2
1.39.3
1.39.4
1.4.0
1.4.1
1.4.2
1.40.0
1.40.1
1.40.2
1.41.0
1.42.0
1.42.1
1.42.2
1.42.3
1.42.4
1.42.5
1.42.6
1.42.6.post0
1.42.7
1.42.8
1.42.9
1.43.0
1.43.1
1.43.2
1.43.3
1.43.4
1.43.4.post0
1.43.4.post1
1.43.5
1.44.0
1.44.1
1.44.2
1.44.3
1.44.4
1.45.0
1.45.1
1.45.2
1.46.0
1.47.1
1.48.0
1.48.1
1.49.0
1.5.0
1.5.1
1.5.2
1.5.3
1.5.4
1.50.0
1.50.1
1.50.10
1.50.10.post0
1.50.11
1.50.12
1.50.13
1.50.14
1.50.14.post0
1.50.15
1.50.16
1.50.17
1.50.17.post0
1.50.18
1.50.18.post0
1.50.2
1.50.3
1.50.4
1.50.5
1.50.6
1.50.6.post0
1.50.7
1.50.8
1.50.9
1.50.9.post0
1.51.0
1.51.1
1.51.2
1.51.3
1.51.4
1.52.0
1.52.0.post0
1.52.1
1.53.0
1.54.0
1.55.0
1.55.0.post0
1.55.1
1.55.2
1.55.3
1.55.4
1.56.0
1.56.1
1.56.1.post0
1.56.1.post1
1.56.2
1.56.3
1.57.0
1.58.0
1.58.1
1.58.2
1.58.2.post0
1.58.3
1.58.4
1.59.0
1.6.0
1.6.1
1.60.0
1.60.0.post0
1.60.1
1.60.2
1.61.0
1.62.0
1.63.0
1.64.0
1.64.1
1.65.0
1.65.1
1.65.1.post0
1.65.1.post1
1.66.0
1.67.0
1.67.1
1.67.1.post0
1.68.0
1.69.0
1.7.0
1.7.1
1.7.2
1.70.0
1.70.1
1.70.2
1.71.0
1.71.1
1.72.0
1.72.1
1.8.0
1.9.0
1.9.1
1.9.2
1.9.3
1.9.3.1
2.0.0
2.0.1
2.1.0
2.10.0
2.100.0
2.101.1
2.102.0
2.103.0
2.104.0
2.105.0
2.106.0
2.107.0
2.108.0
2.109.0
2.11.0
2.110.0
2.111.0
2.112.0
2.112.1
2.112.2
2.113.0
2.114.0
2.115.0
2.116.0
2.117.0
2.118.0
2.119.0
2.12.0
2.120.0
2.121.0
2.121.1
2.121.2
2.122.0
2.122.1.dev0
2.123.0
2.124.0
2.125.0
2.126.0
2.127.0
2.128.0
2.129.0
2.13.0
2.130.0
2.131.0
2.131.1
2.132.0
2.133.0
2.134.0
2.134.1
2.135.0
2.135.1
2.135.1.post0
2.136.0
2.137.0
2.138.0
2.139.0
2.14.0
2.140.0
2.140.1
2.141.0
2.142.0
2.143.0
2.144.0
2.145.0
2.146.0
2.146.1
2.147.0
2.148.0
2.149.0
2.15.0
2.15.1
2.15.2
2.15.3
2.15.4
2.150.0
2.151.0
2.152.0
2.153.0
2.154.0
2.155.0
2.156.0
2.157.0
2.158.0
2.159.0
2.16.0
2.16.0.post0
2.16.1
2.16.2
2.16.3
2.16.3.post0
2.16.4
2.160.0
2.161.0
2.162.0
2.163.0
2.164.0
2.165.0
2.166.0
2.167.0
2.168.0
2.169.0
2.17.0
2.170.0
2.171.0
2.172.0
2.173.0
2.174.0
2.175.0
2.176.0
2.177.0
2.177.1
2.178.0
2.179.0
2.18.0
2.180.0
2.181.0
2.182.0
2.183.0
2.184.0
2.184.0.post0
2.185.0
2.186.0
2.187.0
2.188.0
2.189.0
2.19.0
2.190.0
2.191.0
2.192.0
2.192.1
2.193.0
2.194.0
2.195.0
2.195.1
2.196.0
2.197.0
2.197.1
2.198.0
2.198.1
2.199.0
2.2.0
2.20.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
2.207.1
2.208.0
2.209.0
2.21.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.22.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.23.0
2.23.1
2.23.2
2.23.3
2.23.4
2.23.4.post0
2.23.5
2.23.6
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.24.0
2.24.1
2.24.2
2.24.3
2.24.4
2.24.5
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.25.0
2.25.1
2.25.2
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.26.0
2.27.0
2.27.1
2.28.0
2.29.0
2.29.1
2.29.2
2.3.0
2.30.0
2.31.0
2.31.1
2.32.0
2.32.1
2.33.0
2.34.0
2.35.0
2.36.0
2.37.0
2.38.0
2.39.0
2.39.0.post0
2.39.1
2.4.0
2.4.1
2.4.2
2.40.0
2.41.0
2.42.0
2.42.1
2.43.0
2.44.0
2.45.0
2.46.0
2.46.1
2.47.0
2.47.1
2.47.2
2.47.2.post0
2.48.0
2.48.1
2.48.2
2.49.0
2.49.1
2.49.2
2.5.0
2.5.1
2.5.2
2.5.3
2.5.4
2.5.5
2.50.0
2.50.1
2.51.0
2.52.0
2.52.1
2.52.2
2.52.2.post0
2.53.0
2.54.0
2.54.1.dev0
2.55.0
2.56.0
2.57.0
2.58.0
2.59.0
2.59.1
2.59.1.post0
2.59.2
2.59.3
2.59.3.post0
2.59.4
2.59.5
2.59.6
2.59.7
2.59.8
2.6.0
2.60.0
2.61.0
2.62.0
2.63.0
2.63.1
2.63.2
2.64.0
2.65.0
2.66.0
2.66.1
2.66.2
2.66.2.post0
2.67.0
2.68.0
2.69.0
2.7.0
2.70.0
2.71.0
2.72.0
2.72.1
2.72.2
2.72.3
2.73.0
2.74.0
2.75.0
2.75.1
2.76.0
2.77.0
2.77.1
2.78.0
2.79.0
2.8.0
2.80.0
2.81.0
2.81.1
2.82.0
2.82.1
2.82.2
2.83.0
2.84.0
2.85.0
2.86.0
2.86.1
2.86.2
2.87.0
2.88.0
2.88.1
2.88.2
2.88.3
2.89.0
2.9.0
2.9.1
2.9.2
2.90.0
2.91.0
2.91.1
2.92.0
2.92.1
2.92.2
2.93.0
2.93.1
2.94.0
2.95.0
2.96.0
2.97.0
2.98.0
2.99.0
3.0
3.0.1
3.1.0
Fixed in
2.256.0
3.1.1
References
Updated Jul 07, 2026 · Source: OSV.dev | ||
2.254.2.dev0
pre
4 CVEs
CVE-2026-8597
PYSEC-2026-3060
GHSA-rq6v-x3j8-7qgf
Jul 13, 2026
Amazon SageMaker Python SDK is missing integrity verification in its Triton inference handler
Low
Network
Low
High
None
SummaryAmazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the Triton inference handler deserializes model artifacts without performing integrity verification, allowing specially crafted pickle payloads to execute arbitrary code. ImpactWhen using ModelBuilder with the Triton inference server, the Triton handler did not perform integrity verification before deserializing model artifacts. A remote authenticated actor with S3 write access to the model artifact path could replace model files with a crafted payload that would execute automatically on the next container lifecycle event, achieving code execution with the SageMaker execution role's IAM permissions. Impacted versions: >= v2.199.0 AND <= v2.257.1, >= v3.0.0 AND <= v3.7.1 PatchesThis issue has been addressed in Amazon SageMaker Python SDK v2.257.2 and v3.8.0. The Triton inference handler now performs integrity verification before deserializing model artifacts. AWS recommend upgrading to the latest version and rebuilding any Triton models previously created with ModelBuilder using the updated SDK. Ensure any forked or derivative code is patched to incorporate the new fixes. WorkaroundsIf upgrading is not immediately possible, users should restrict S3 write access to model artifact paths to only trusted principals and monitor for unintended modifications to files in model artifact S3 locations. ReferencesIf there any questions or comments about this advisory, contact AWS Security via vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
2.199.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
+ 102 more Show less
2.207.1
2.208.0
2.209.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.256.0
2.256.1
2.257.0
2.257.1
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
3.4.0
3.4.1
3.5.0
3.6.0
3.7.0
3.7.1
Fixed in
2.257.2
3.8.0
References
Updated Jul 13, 2026 · Source: OSV.dev
CVE-2026-8596
PYSEC-2026-3059
GHSA-7hh5-prp2-mfh5
Jul 13, 2026
Cleartext storage of HMAC signing key in Amazon SageMaker Python SDK ModelBuilder/Serve path
High
Network
Low
High
None
SummaryAmazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the ModelBuilder/Serve component stores an HMAC signing key in cleartext as a container environment variable, which is returned in plaintext by SageMaker describe APIs. ImpactWhen using ModelBuilder to build and deploy models with affected model servers (TorchServe, Multi-Model Server, TensorFlow Serving, SMD, or Triton), the SDK generates an HMAC secret key for model artifact integrity verification and stores it as the SAGEMAKER_SERVE_SECRET_KEY environment variable in the SageMaker model container configuration. This environment variable is returned in plaintext by the DescribeModel, DescribeEndpointConfig, and DescribeModelPackage APIs. A remote authenticated actor with permissions to call these describe APIs and S3 write access to the model artifact path could extract the key, forge valid integrity signatures for specially crafted model artifacts, and achieve code execution in inference containers with the SageMaker execution role's IAM permissions. Impacted versions: >= v2.199.0 AND <= v2.257.1, >= v3.0.0 AND <= v3.7.1 PatchesThis issue has been addressed in Amazon SageMaker Python SDK v2.257.2 and v3.8.0. AWS recommend upgrading to the latest version and rebuilding any models previously created with ModelBuilder using the updated SDK. Models created with affected versions may still have the HMAC key stored in their container environment variables until they are rebuilt with the patched SDK. Ensure any forked or derivative code is patched to incorporate the new fixes. WorkaroundsIf upgrading is not immediately possible, users can manually remove the SAGEMAKER_SERVE_SECRET_KEY environment variable from existing SageMaker models by recreating the model without this variable in the container environment configuration. ReferencesIf there any questions or comments about this advisory, contact AWS Security via the vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
2.199.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
+ 102 more Show less
2.207.1
2.208.0
2.209.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.256.0
2.256.1
2.257.0
2.257.1
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
3.4.0
3.4.1
3.5.0
3.6.0
3.7.0
3.7.1
Fixed in
2.257.2
3.8.0
References
Updated Jul 13, 2026 · Source: OSV.dev
CVE-2026-1777
PYSEC-2026-1888
GHSA-rjrp-m2jw-pv9c
Jul 07, 2026
SageMaker Python SDK has Exposed HMAC
Critical
Network
Low
Low
None
SummarySageMaker Python SDK is an open source library for training and deploying machine learning models on Amazon SageMaker. An issue where the HMAC secret key is stored in environment variables and disclosed via the DescribeTrainingJob API has been identified. Impact
Impacted versions
PatchesThis issue has been addressed in SageMaker Python SDK version v3.2.0 and v2.256.0. Upgrading to the latest version immediately and ensuring any forked or derivative code is patched to incorporate the new fixes is recommended. WorkaroundsCustomers using self-signed certificates for internal model downloads should add their private Certificate Authority (CA) certificate to the container image rather than relying on the SDK’s previous insecure configuration. This opt-in approach maintains security while accommodating internal trusted domains. ResourcesIf there are any questions or comments about this advisory, contact AWS Security via the vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
1.0.0
1.0.1
1.0.2
1.1.0
1.1.1
1.1.2
1.1.3
1.10.0
1.10.1
1.11.0
1.11.1
1.11.2
+ 642 more Show less
1.11.3
1.12.0
1.13.0
1.14.0
1.14.1
1.14.2
1.15.0
1.15.1
1.15.2
1.16.1
1.16.1.post1
1.16.2
1.16.3
1.17.0
1.17.1
1.17.2
1.18.0
1.18.1
1.18.10
1.18.11
1.18.12
1.18.13
1.18.14
1.18.14.post0
1.18.14.post1
1.18.15
1.18.16
1.18.17
1.18.18
1.18.19
1.18.2
1.18.3
1.18.3.post1
1.18.4
1.18.5
1.18.6.post0
1.18.7
1.18.8
1.18.9
1.18.9.post0
1.18.9.post1
1.19.0
1.19.1
1.2.0
1.2.1
1.2.2
1.2.3
1.2.4
1.2.5
1.20.0
1.20.1
1.20.2
1.20.3
1.21.0
1.21.1
1.21.2
1.22.0
1.23.0
1.24.0
1.25.0
1.25.1
1.26.0
1.27.0
1.28.0
1.28.1
1.28.2
1.28.3
1.29.0
1.3.0
1.30.0
1.31.0
1.31.1
1.32.0
1.32.1
1.32.2
1.33.0
1.34.0
1.34.1
1.34.2
1.34.3
1.35.0
1.35.1
1.36.0
1.36.1
1.36.2
1.36.3
1.36.4
1.37.0
1.37.1
1.37.2
1.38.0
1.38.1
1.38.2
1.38.3
1.38.4
1.38.5
1.38.6
1.39.0
1.39.1
1.39.2
1.39.3
1.39.4
1.4.0
1.4.1
1.4.2
1.40.0
1.40.1
1.40.2
1.41.0
1.42.0
1.42.1
1.42.2
1.42.3
1.42.4
1.42.5
1.42.6
1.42.6.post0
1.42.7
1.42.8
1.42.9
1.43.0
1.43.1
1.43.2
1.43.3
1.43.4
1.43.4.post0
1.43.4.post1
1.43.5
1.44.0
1.44.1
1.44.2
1.44.3
1.44.4
1.45.0
1.45.1
1.45.2
1.46.0
1.47.1
1.48.0
1.48.1
1.49.0
1.5.0
1.5.1
1.5.2
1.5.3
1.5.4
1.50.0
1.50.1
1.50.10
1.50.10.post0
1.50.11
1.50.12
1.50.13
1.50.14
1.50.14.post0
1.50.15
1.50.16
1.50.17
1.50.17.post0
1.50.18
1.50.18.post0
1.50.2
1.50.3
1.50.4
1.50.5
1.50.6
1.50.6.post0
1.50.7
1.50.8
1.50.9
1.50.9.post0
1.51.0
1.51.1
1.51.2
1.51.3
1.51.4
1.52.0
1.52.0.post0
1.52.1
1.53.0
1.54.0
1.55.0
1.55.0.post0
1.55.1
1.55.2
1.55.3
1.55.4
1.56.0
1.56.1
1.56.1.post0
1.56.1.post1
1.56.2
1.56.3
1.57.0
1.58.0
1.58.1
1.58.2
1.58.2.post0
1.58.3
1.58.4
1.59.0
1.6.0
1.6.1
1.60.0
1.60.0.post0
1.60.1
1.60.2
1.61.0
1.62.0
1.63.0
1.64.0
1.64.1
1.65.0
1.65.1
1.65.1.post0
1.65.1.post1
1.66.0
1.67.0
1.67.1
1.67.1.post0
1.68.0
1.69.0
1.7.0
1.7.1
1.7.2
1.70.0
1.70.1
1.70.2
1.71.0
1.71.1
1.72.0
1.72.1
1.8.0
1.9.0
1.9.1
1.9.2
1.9.3
1.9.3.1
2.0.0
2.0.1
2.1.0
2.10.0
2.100.0
2.101.1
2.102.0
2.103.0
2.104.0
2.105.0
2.106.0
2.107.0
2.108.0
2.109.0
2.11.0
2.110.0
2.111.0
2.112.0
2.112.1
2.112.2
2.113.0
2.114.0
2.115.0
2.116.0
2.117.0
2.118.0
2.119.0
2.12.0
2.120.0
2.121.0
2.121.1
2.121.2
2.122.0
2.122.1.dev0
2.123.0
2.124.0
2.125.0
2.126.0
2.127.0
2.128.0
2.129.0
2.13.0
2.130.0
2.131.0
2.131.1
2.132.0
2.133.0
2.134.0
2.134.1
2.135.0
2.135.1
2.135.1.post0
2.136.0
2.137.0
2.138.0
2.139.0
2.14.0
2.140.0
2.140.1
2.141.0
2.142.0
2.143.0
2.144.0
2.145.0
2.146.0
2.146.1
2.147.0
2.148.0
2.149.0
2.15.0
2.15.1
2.15.2
2.15.3
2.15.4
2.150.0
2.151.0
2.152.0
2.153.0
2.154.0
2.155.0
2.156.0
2.157.0
2.158.0
2.159.0
2.16.0
2.16.0.post0
2.16.1
2.16.2
2.16.3
2.16.3.post0
2.16.4
2.160.0
2.161.0
2.162.0
2.163.0
2.164.0
2.165.0
2.166.0
2.167.0
2.168.0
2.169.0
2.17.0
2.170.0
2.171.0
2.172.0
2.173.0
2.174.0
2.175.0
2.176.0
2.177.0
2.177.1
2.178.0
2.179.0
2.18.0
2.180.0
2.181.0
2.182.0
2.183.0
2.184.0
2.184.0.post0
2.185.0
2.186.0
2.187.0
2.188.0
2.189.0
2.19.0
2.190.0
2.191.0
2.192.0
2.192.1
2.193.0
2.194.0
2.195.0
2.195.1
2.196.0
2.197.0
2.197.1
2.198.0
2.198.1
2.199.0
2.2.0
2.20.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
2.207.1
2.208.0
2.209.0
2.21.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.22.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.23.0
2.23.1
2.23.2
2.23.3
2.23.4
2.23.4.post0
2.23.5
2.23.6
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.24.0
2.24.1
2.24.2
2.24.3
2.24.4
2.24.5
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.25.0
2.25.1
2.25.2
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.26.0
2.27.0
2.27.1
2.28.0
2.29.0
2.29.1
2.29.2
2.3.0
2.30.0
2.31.0
2.31.1
2.32.0
2.32.1
2.33.0
2.34.0
2.35.0
2.36.0
2.37.0
2.38.0
2.39.0
2.39.0.post0
2.39.1
2.4.0
2.4.1
2.4.2
2.40.0
2.41.0
2.42.0
2.42.1
2.43.0
2.44.0
2.45.0
2.46.0
2.46.1
2.47.0
2.47.1
2.47.2
2.47.2.post0
2.48.0
2.48.1
2.48.2
2.49.0
2.49.1
2.49.2
2.5.0
2.5.1
2.5.2
2.5.3
2.5.4
2.5.5
2.50.0
2.50.1
2.51.0
2.52.0
2.52.1
2.52.2
2.52.2.post0
2.53.0
2.54.0
2.54.1.dev0
2.55.0
2.56.0
2.57.0
2.58.0
2.59.0
2.59.1
2.59.1.post0
2.59.2
2.59.3
2.59.3.post0
2.59.4
2.59.5
2.59.6
2.59.7
2.59.8
2.6.0
2.60.0
2.61.0
2.62.0
2.63.0
2.63.1
2.63.2
2.64.0
2.65.0
2.66.0
2.66.1
2.66.2
2.66.2.post0
2.67.0
2.68.0
2.69.0
2.7.0
2.70.0
2.71.0
2.72.0
2.72.1
2.72.2
2.72.3
2.73.0
2.74.0
2.75.0
2.75.1
2.76.0
2.77.0
2.77.1
2.78.0
2.79.0
2.8.0
2.80.0
2.81.0
2.81.1
2.82.0
2.82.1
2.82.2
2.83.0
2.84.0
2.85.0
2.86.0
2.86.1
2.86.2
2.87.0
2.88.0
2.88.1
2.88.2
2.88.3
2.89.0
2.9.0
2.9.1
2.9.2
2.90.0
2.91.0
2.91.1
2.92.0
2.92.1
2.92.2
2.93.0
2.93.1
2.94.0
2.95.0
2.96.0
2.97.0
2.98.0
2.99.0
3.0
3.0.1
3.1.0
3.1.1
Fixed in
2.256.0
3.2.0
References
Updated Jul 07, 2026 · Source: OSV.dev
CVE-2026-1778
PYSEC-2026-1886
GHSA-62rc-f4v9-h543
Jul 07, 2026
SageMaker Python SDK has Insecure TLS Configuration
Critical
Network
Low
Low
None
SummarySageMaker Python SDK is an open source library for training and deploying machine learning models on Amazon SageMaker. An issue where SSL certificate verification was globally disabled in the Triton Python backend has been found. ImpactArbitrary Code Execution: Disabling SSL verification allows third parties to intercept HTTPS traffic and replace models or dependencies with inappropriate versions. This could lead to remote code execution in the Triton container. Impacted versions
PatchesThis issue has been addressed in SageMaker Python SDK version v3.1.1 and v2.256.0. It is recommended to upgrade to the latest version immediately and ensure any forked or derivative code is patched to incorporate the new fixes. WorkaroundsCustomers using self-signed certificates for internal model downloads should add their private Certificate Authority (CA) certificate to the container image rather than relying on the SDK’s previous insecure configuration. This opt-in approach maintains security while accommodating internal trusted domains. ReferencesIf there are any questions or comments about this advisory, contact AWS Security via the vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
1.0.0
1.0.1
1.0.2
1.1.0
1.1.1
1.1.2
1.1.3
1.10.0
1.10.1
1.11.0
1.11.1
1.11.2
+ 641 more Show less
1.11.3
1.12.0
1.13.0
1.14.0
1.14.1
1.14.2
1.15.0
1.15.1
1.15.2
1.16.1
1.16.1.post1
1.16.2
1.16.3
1.17.0
1.17.1
1.17.2
1.18.0
1.18.1
1.18.10
1.18.11
1.18.12
1.18.13
1.18.14
1.18.14.post0
1.18.14.post1
1.18.15
1.18.16
1.18.17
1.18.18
1.18.19
1.18.2
1.18.3
1.18.3.post1
1.18.4
1.18.5
1.18.6.post0
1.18.7
1.18.8
1.18.9
1.18.9.post0
1.18.9.post1
1.19.0
1.19.1
1.2.0
1.2.1
1.2.2
1.2.3
1.2.4
1.2.5
1.20.0
1.20.1
1.20.2
1.20.3
1.21.0
1.21.1
1.21.2
1.22.0
1.23.0
1.24.0
1.25.0
1.25.1
1.26.0
1.27.0
1.28.0
1.28.1
1.28.2
1.28.3
1.29.0
1.3.0
1.30.0
1.31.0
1.31.1
1.32.0
1.32.1
1.32.2
1.33.0
1.34.0
1.34.1
1.34.2
1.34.3
1.35.0
1.35.1
1.36.0
1.36.1
1.36.2
1.36.3
1.36.4
1.37.0
1.37.1
1.37.2
1.38.0
1.38.1
1.38.2
1.38.3
1.38.4
1.38.5
1.38.6
1.39.0
1.39.1
1.39.2
1.39.3
1.39.4
1.4.0
1.4.1
1.4.2
1.40.0
1.40.1
1.40.2
1.41.0
1.42.0
1.42.1
1.42.2
1.42.3
1.42.4
1.42.5
1.42.6
1.42.6.post0
1.42.7
1.42.8
1.42.9
1.43.0
1.43.1
1.43.2
1.43.3
1.43.4
1.43.4.post0
1.43.4.post1
1.43.5
1.44.0
1.44.1
1.44.2
1.44.3
1.44.4
1.45.0
1.45.1
1.45.2
1.46.0
1.47.1
1.48.0
1.48.1
1.49.0
1.5.0
1.5.1
1.5.2
1.5.3
1.5.4
1.50.0
1.50.1
1.50.10
1.50.10.post0
1.50.11
1.50.12
1.50.13
1.50.14
1.50.14.post0
1.50.15
1.50.16
1.50.17
1.50.17.post0
1.50.18
1.50.18.post0
1.50.2
1.50.3
1.50.4
1.50.5
1.50.6
1.50.6.post0
1.50.7
1.50.8
1.50.9
1.50.9.post0
1.51.0
1.51.1
1.51.2
1.51.3
1.51.4
1.52.0
1.52.0.post0
1.52.1
1.53.0
1.54.0
1.55.0
1.55.0.post0
1.55.1
1.55.2
1.55.3
1.55.4
1.56.0
1.56.1
1.56.1.post0
1.56.1.post1
1.56.2
1.56.3
1.57.0
1.58.0
1.58.1
1.58.2
1.58.2.post0
1.58.3
1.58.4
1.59.0
1.6.0
1.6.1
1.60.0
1.60.0.post0
1.60.1
1.60.2
1.61.0
1.62.0
1.63.0
1.64.0
1.64.1
1.65.0
1.65.1
1.65.1.post0
1.65.1.post1
1.66.0
1.67.0
1.67.1
1.67.1.post0
1.68.0
1.69.0
1.7.0
1.7.1
1.7.2
1.70.0
1.70.1
1.70.2
1.71.0
1.71.1
1.72.0
1.72.1
1.8.0
1.9.0
1.9.1
1.9.2
1.9.3
1.9.3.1
2.0.0
2.0.1
2.1.0
2.10.0
2.100.0
2.101.1
2.102.0
2.103.0
2.104.0
2.105.0
2.106.0
2.107.0
2.108.0
2.109.0
2.11.0
2.110.0
2.111.0
2.112.0
2.112.1
2.112.2
2.113.0
2.114.0
2.115.0
2.116.0
2.117.0
2.118.0
2.119.0
2.12.0
2.120.0
2.121.0
2.121.1
2.121.2
2.122.0
2.122.1.dev0
2.123.0
2.124.0
2.125.0
2.126.0
2.127.0
2.128.0
2.129.0
2.13.0
2.130.0
2.131.0
2.131.1
2.132.0
2.133.0
2.134.0
2.134.1
2.135.0
2.135.1
2.135.1.post0
2.136.0
2.137.0
2.138.0
2.139.0
2.14.0
2.140.0
2.140.1
2.141.0
2.142.0
2.143.0
2.144.0
2.145.0
2.146.0
2.146.1
2.147.0
2.148.0
2.149.0
2.15.0
2.15.1
2.15.2
2.15.3
2.15.4
2.150.0
2.151.0
2.152.0
2.153.0
2.154.0
2.155.0
2.156.0
2.157.0
2.158.0
2.159.0
2.16.0
2.16.0.post0
2.16.1
2.16.2
2.16.3
2.16.3.post0
2.16.4
2.160.0
2.161.0
2.162.0
2.163.0
2.164.0
2.165.0
2.166.0
2.167.0
2.168.0
2.169.0
2.17.0
2.170.0
2.171.0
2.172.0
2.173.0
2.174.0
2.175.0
2.176.0
2.177.0
2.177.1
2.178.0
2.179.0
2.18.0
2.180.0
2.181.0
2.182.0
2.183.0
2.184.0
2.184.0.post0
2.185.0
2.186.0
2.187.0
2.188.0
2.189.0
2.19.0
2.190.0
2.191.0
2.192.0
2.192.1
2.193.0
2.194.0
2.195.0
2.195.1
2.196.0
2.197.0
2.197.1
2.198.0
2.198.1
2.199.0
2.2.0
2.20.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
2.207.1
2.208.0
2.209.0
2.21.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.22.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.23.0
2.23.1
2.23.2
2.23.3
2.23.4
2.23.4.post0
2.23.5
2.23.6
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.24.0
2.24.1
2.24.2
2.24.3
2.24.4
2.24.5
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.25.0
2.25.1
2.25.2
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.26.0
2.27.0
2.27.1
2.28.0
2.29.0
2.29.1
2.29.2
2.3.0
2.30.0
2.31.0
2.31.1
2.32.0
2.32.1
2.33.0
2.34.0
2.35.0
2.36.0
2.37.0
2.38.0
2.39.0
2.39.0.post0
2.39.1
2.4.0
2.4.1
2.4.2
2.40.0
2.41.0
2.42.0
2.42.1
2.43.0
2.44.0
2.45.0
2.46.0
2.46.1
2.47.0
2.47.1
2.47.2
2.47.2.post0
2.48.0
2.48.1
2.48.2
2.49.0
2.49.1
2.49.2
2.5.0
2.5.1
2.5.2
2.5.3
2.5.4
2.5.5
2.50.0
2.50.1
2.51.0
2.52.0
2.52.1
2.52.2
2.52.2.post0
2.53.0
2.54.0
2.54.1.dev0
2.55.0
2.56.0
2.57.0
2.58.0
2.59.0
2.59.1
2.59.1.post0
2.59.2
2.59.3
2.59.3.post0
2.59.4
2.59.5
2.59.6
2.59.7
2.59.8
2.6.0
2.60.0
2.61.0
2.62.0
2.63.0
2.63.1
2.63.2
2.64.0
2.65.0
2.66.0
2.66.1
2.66.2
2.66.2.post0
2.67.0
2.68.0
2.69.0
2.7.0
2.70.0
2.71.0
2.72.0
2.72.1
2.72.2
2.72.3
2.73.0
2.74.0
2.75.0
2.75.1
2.76.0
2.77.0
2.77.1
2.78.0
2.79.0
2.8.0
2.80.0
2.81.0
2.81.1
2.82.0
2.82.1
2.82.2
2.83.0
2.84.0
2.85.0
2.86.0
2.86.1
2.86.2
2.87.0
2.88.0
2.88.1
2.88.2
2.88.3
2.89.0
2.9.0
2.9.1
2.9.2
2.90.0
2.91.0
2.91.1
2.92.0
2.92.1
2.92.2
2.93.0
2.93.1
2.94.0
2.95.0
2.96.0
2.97.0
2.98.0
2.99.0
3.0
3.0.1
3.1.0
Fixed in
2.256.0
3.1.1
References
Updated Jul 07, 2026 · Source: OSV.dev | ||
3.0.1
patch
5 CVEs
CVE-2026-8597
PYSEC-2026-3060
GHSA-rq6v-x3j8-7qgf
Jul 13, 2026
Amazon SageMaker Python SDK is missing integrity verification in its Triton inference handler
Low
Network
Low
High
None
SummaryAmazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the Triton inference handler deserializes model artifacts without performing integrity verification, allowing specially crafted pickle payloads to execute arbitrary code. ImpactWhen using ModelBuilder with the Triton inference server, the Triton handler did not perform integrity verification before deserializing model artifacts. A remote authenticated actor with S3 write access to the model artifact path could replace model files with a crafted payload that would execute automatically on the next container lifecycle event, achieving code execution with the SageMaker execution role's IAM permissions. Impacted versions: >= v2.199.0 AND <= v2.257.1, >= v3.0.0 AND <= v3.7.1 PatchesThis issue has been addressed in Amazon SageMaker Python SDK v2.257.2 and v3.8.0. The Triton inference handler now performs integrity verification before deserializing model artifacts. AWS recommend upgrading to the latest version and rebuilding any Triton models previously created with ModelBuilder using the updated SDK. Ensure any forked or derivative code is patched to incorporate the new fixes. WorkaroundsIf upgrading is not immediately possible, users should restrict S3 write access to model artifact paths to only trusted principals and monitor for unintended modifications to files in model artifact S3 locations. ReferencesIf there any questions or comments about this advisory, contact AWS Security via vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
2.199.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
+ 102 more Show less
2.207.1
2.208.0
2.209.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.256.0
2.256.1
2.257.0
2.257.1
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
3.4.0
3.4.1
3.5.0
3.6.0
3.7.0
3.7.1
Fixed in
2.257.2
3.8.0
References
Updated Jul 13, 2026 · Source: OSV.dev
CVE-2026-8596
PYSEC-2026-3059
GHSA-7hh5-prp2-mfh5
Jul 13, 2026
Cleartext storage of HMAC signing key in Amazon SageMaker Python SDK ModelBuilder/Serve path
High
Network
Low
High
None
SummaryAmazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the ModelBuilder/Serve component stores an HMAC signing key in cleartext as a container environment variable, which is returned in plaintext by SageMaker describe APIs. ImpactWhen using ModelBuilder to build and deploy models with affected model servers (TorchServe, Multi-Model Server, TensorFlow Serving, SMD, or Triton), the SDK generates an HMAC secret key for model artifact integrity verification and stores it as the SAGEMAKER_SERVE_SECRET_KEY environment variable in the SageMaker model container configuration. This environment variable is returned in plaintext by the DescribeModel, DescribeEndpointConfig, and DescribeModelPackage APIs. A remote authenticated actor with permissions to call these describe APIs and S3 write access to the model artifact path could extract the key, forge valid integrity signatures for specially crafted model artifacts, and achieve code execution in inference containers with the SageMaker execution role's IAM permissions. Impacted versions: >= v2.199.0 AND <= v2.257.1, >= v3.0.0 AND <= v3.7.1 PatchesThis issue has been addressed in Amazon SageMaker Python SDK v2.257.2 and v3.8.0. AWS recommend upgrading to the latest version and rebuilding any models previously created with ModelBuilder using the updated SDK. Models created with affected versions may still have the HMAC key stored in their container environment variables until they are rebuilt with the patched SDK. Ensure any forked or derivative code is patched to incorporate the new fixes. WorkaroundsIf upgrading is not immediately possible, users can manually remove the SAGEMAKER_SERVE_SECRET_KEY environment variable from existing SageMaker models by recreating the model without this variable in the container environment configuration. ReferencesIf there any questions or comments about this advisory, contact AWS Security via the vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
2.199.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
+ 102 more Show less
2.207.1
2.208.0
2.209.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.256.0
2.256.1
2.257.0
2.257.1
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
3.4.0
3.4.1
3.5.0
3.6.0
3.7.0
3.7.1
Fixed in
2.257.2
3.8.0
References
Updated Jul 13, 2026 · Source: OSV.dev
CVE-2026-1777
PYSEC-2026-1888
GHSA-rjrp-m2jw-pv9c
Jul 07, 2026
SageMaker Python SDK has Exposed HMAC
Critical
Network
Low
Low
None
SummarySageMaker Python SDK is an open source library for training and deploying machine learning models on Amazon SageMaker. An issue where the HMAC secret key is stored in environment variables and disclosed via the DescribeTrainingJob API has been identified. Impact
Impacted versions
PatchesThis issue has been addressed in SageMaker Python SDK version v3.2.0 and v2.256.0. Upgrading to the latest version immediately and ensuring any forked or derivative code is patched to incorporate the new fixes is recommended. WorkaroundsCustomers using self-signed certificates for internal model downloads should add their private Certificate Authority (CA) certificate to the container image rather than relying on the SDK’s previous insecure configuration. This opt-in approach maintains security while accommodating internal trusted domains. ResourcesIf there are any questions or comments about this advisory, contact AWS Security via the vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
1.0.0
1.0.1
1.0.2
1.1.0
1.1.1
1.1.2
1.1.3
1.10.0
1.10.1
1.11.0
1.11.1
1.11.2
+ 642 more Show less
1.11.3
1.12.0
1.13.0
1.14.0
1.14.1
1.14.2
1.15.0
1.15.1
1.15.2
1.16.1
1.16.1.post1
1.16.2
1.16.3
1.17.0
1.17.1
1.17.2
1.18.0
1.18.1
1.18.10
1.18.11
1.18.12
1.18.13
1.18.14
1.18.14.post0
1.18.14.post1
1.18.15
1.18.16
1.18.17
1.18.18
1.18.19
1.18.2
1.18.3
1.18.3.post1
1.18.4
1.18.5
1.18.6.post0
1.18.7
1.18.8
1.18.9
1.18.9.post0
1.18.9.post1
1.19.0
1.19.1
1.2.0
1.2.1
1.2.2
1.2.3
1.2.4
1.2.5
1.20.0
1.20.1
1.20.2
1.20.3
1.21.0
1.21.1
1.21.2
1.22.0
1.23.0
1.24.0
1.25.0
1.25.1
1.26.0
1.27.0
1.28.0
1.28.1
1.28.2
1.28.3
1.29.0
1.3.0
1.30.0
1.31.0
1.31.1
1.32.0
1.32.1
1.32.2
1.33.0
1.34.0
1.34.1
1.34.2
1.34.3
1.35.0
1.35.1
1.36.0
1.36.1
1.36.2
1.36.3
1.36.4
1.37.0
1.37.1
1.37.2
1.38.0
1.38.1
1.38.2
1.38.3
1.38.4
1.38.5
1.38.6
1.39.0
1.39.1
1.39.2
1.39.3
1.39.4
1.4.0
1.4.1
1.4.2
1.40.0
1.40.1
1.40.2
1.41.0
1.42.0
1.42.1
1.42.2
1.42.3
1.42.4
1.42.5
1.42.6
1.42.6.post0
1.42.7
1.42.8
1.42.9
1.43.0
1.43.1
1.43.2
1.43.3
1.43.4
1.43.4.post0
1.43.4.post1
1.43.5
1.44.0
1.44.1
1.44.2
1.44.3
1.44.4
1.45.0
1.45.1
1.45.2
1.46.0
1.47.1
1.48.0
1.48.1
1.49.0
1.5.0
1.5.1
1.5.2
1.5.3
1.5.4
1.50.0
1.50.1
1.50.10
1.50.10.post0
1.50.11
1.50.12
1.50.13
1.50.14
1.50.14.post0
1.50.15
1.50.16
1.50.17
1.50.17.post0
1.50.18
1.50.18.post0
1.50.2
1.50.3
1.50.4
1.50.5
1.50.6
1.50.6.post0
1.50.7
1.50.8
1.50.9
1.50.9.post0
1.51.0
1.51.1
1.51.2
1.51.3
1.51.4
1.52.0
1.52.0.post0
1.52.1
1.53.0
1.54.0
1.55.0
1.55.0.post0
1.55.1
1.55.2
1.55.3
1.55.4
1.56.0
1.56.1
1.56.1.post0
1.56.1.post1
1.56.2
1.56.3
1.57.0
1.58.0
1.58.1
1.58.2
1.58.2.post0
1.58.3
1.58.4
1.59.0
1.6.0
1.6.1
1.60.0
1.60.0.post0
1.60.1
1.60.2
1.61.0
1.62.0
1.63.0
1.64.0
1.64.1
1.65.0
1.65.1
1.65.1.post0
1.65.1.post1
1.66.0
1.67.0
1.67.1
1.67.1.post0
1.68.0
1.69.0
1.7.0
1.7.1
1.7.2
1.70.0
1.70.1
1.70.2
1.71.0
1.71.1
1.72.0
1.72.1
1.8.0
1.9.0
1.9.1
1.9.2
1.9.3
1.9.3.1
2.0.0
2.0.1
2.1.0
2.10.0
2.100.0
2.101.1
2.102.0
2.103.0
2.104.0
2.105.0
2.106.0
2.107.0
2.108.0
2.109.0
2.11.0
2.110.0
2.111.0
2.112.0
2.112.1
2.112.2
2.113.0
2.114.0
2.115.0
2.116.0
2.117.0
2.118.0
2.119.0
2.12.0
2.120.0
2.121.0
2.121.1
2.121.2
2.122.0
2.122.1.dev0
2.123.0
2.124.0
2.125.0
2.126.0
2.127.0
2.128.0
2.129.0
2.13.0
2.130.0
2.131.0
2.131.1
2.132.0
2.133.0
2.134.0
2.134.1
2.135.0
2.135.1
2.135.1.post0
2.136.0
2.137.0
2.138.0
2.139.0
2.14.0
2.140.0
2.140.1
2.141.0
2.142.0
2.143.0
2.144.0
2.145.0
2.146.0
2.146.1
2.147.0
2.148.0
2.149.0
2.15.0
2.15.1
2.15.2
2.15.3
2.15.4
2.150.0
2.151.0
2.152.0
2.153.0
2.154.0
2.155.0
2.156.0
2.157.0
2.158.0
2.159.0
2.16.0
2.16.0.post0
2.16.1
2.16.2
2.16.3
2.16.3.post0
2.16.4
2.160.0
2.161.0
2.162.0
2.163.0
2.164.0
2.165.0
2.166.0
2.167.0
2.168.0
2.169.0
2.17.0
2.170.0
2.171.0
2.172.0
2.173.0
2.174.0
2.175.0
2.176.0
2.177.0
2.177.1
2.178.0
2.179.0
2.18.0
2.180.0
2.181.0
2.182.0
2.183.0
2.184.0
2.184.0.post0
2.185.0
2.186.0
2.187.0
2.188.0
2.189.0
2.19.0
2.190.0
2.191.0
2.192.0
2.192.1
2.193.0
2.194.0
2.195.0
2.195.1
2.196.0
2.197.0
2.197.1
2.198.0
2.198.1
2.199.0
2.2.0
2.20.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
2.207.1
2.208.0
2.209.0
2.21.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.22.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.23.0
2.23.1
2.23.2
2.23.3
2.23.4
2.23.4.post0
2.23.5
2.23.6
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.24.0
2.24.1
2.24.2
2.24.3
2.24.4
2.24.5
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.25.0
2.25.1
2.25.2
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.26.0
2.27.0
2.27.1
2.28.0
2.29.0
2.29.1
2.29.2
2.3.0
2.30.0
2.31.0
2.31.1
2.32.0
2.32.1
2.33.0
2.34.0
2.35.0
2.36.0
2.37.0
2.38.0
2.39.0
2.39.0.post0
2.39.1
2.4.0
2.4.1
2.4.2
2.40.0
2.41.0
2.42.0
2.42.1
2.43.0
2.44.0
2.45.0
2.46.0
2.46.1
2.47.0
2.47.1
2.47.2
2.47.2.post0
2.48.0
2.48.1
2.48.2
2.49.0
2.49.1
2.49.2
2.5.0
2.5.1
2.5.2
2.5.3
2.5.4
2.5.5
2.50.0
2.50.1
2.51.0
2.52.0
2.52.1
2.52.2
2.52.2.post0
2.53.0
2.54.0
2.54.1.dev0
2.55.0
2.56.0
2.57.0
2.58.0
2.59.0
2.59.1
2.59.1.post0
2.59.2
2.59.3
2.59.3.post0
2.59.4
2.59.5
2.59.6
2.59.7
2.59.8
2.6.0
2.60.0
2.61.0
2.62.0
2.63.0
2.63.1
2.63.2
2.64.0
2.65.0
2.66.0
2.66.1
2.66.2
2.66.2.post0
2.67.0
2.68.0
2.69.0
2.7.0
2.70.0
2.71.0
2.72.0
2.72.1
2.72.2
2.72.3
2.73.0
2.74.0
2.75.0
2.75.1
2.76.0
2.77.0
2.77.1
2.78.0
2.79.0
2.8.0
2.80.0
2.81.0
2.81.1
2.82.0
2.82.1
2.82.2
2.83.0
2.84.0
2.85.0
2.86.0
2.86.1
2.86.2
2.87.0
2.88.0
2.88.1
2.88.2
2.88.3
2.89.0
2.9.0
2.9.1
2.9.2
2.90.0
2.91.0
2.91.1
2.92.0
2.92.1
2.92.2
2.93.0
2.93.1
2.94.0
2.95.0
2.96.0
2.97.0
2.98.0
2.99.0
3.0
3.0.1
3.1.0
3.1.1
Fixed in
2.256.0
3.2.0
References
Updated Jul 07, 2026 · Source: OSV.dev
CVE-2026-1778
PYSEC-2026-1886
GHSA-62rc-f4v9-h543
Jul 07, 2026
SageMaker Python SDK has Insecure TLS Configuration
Critical
Network
Low
Low
None
SummarySageMaker Python SDK is an open source library for training and deploying machine learning models on Amazon SageMaker. An issue where SSL certificate verification was globally disabled in the Triton Python backend has been found. ImpactArbitrary Code Execution: Disabling SSL verification allows third parties to intercept HTTPS traffic and replace models or dependencies with inappropriate versions. This could lead to remote code execution in the Triton container. Impacted versions
PatchesThis issue has been addressed in SageMaker Python SDK version v3.1.1 and v2.256.0. It is recommended to upgrade to the latest version immediately and ensure any forked or derivative code is patched to incorporate the new fixes. WorkaroundsCustomers using self-signed certificates for internal model downloads should add their private Certificate Authority (CA) certificate to the container image rather than relying on the SDK’s previous insecure configuration. This opt-in approach maintains security while accommodating internal trusted domains. ReferencesIf there are any questions or comments about this advisory, contact AWS Security via the vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue. Affected versions
1.0.0
1.0.1
1.0.2
1.1.0
1.1.1
1.1.2
1.1.3
1.10.0
1.10.1
1.11.0
1.11.1
1.11.2
+ 641 more Show less
1.11.3
1.12.0
1.13.0
1.14.0
1.14.1
1.14.2
1.15.0
1.15.1
1.15.2
1.16.1
1.16.1.post1
1.16.2
1.16.3
1.17.0
1.17.1
1.17.2
1.18.0
1.18.1
1.18.10
1.18.11
1.18.12
1.18.13
1.18.14
1.18.14.post0
1.18.14.post1
1.18.15
1.18.16
1.18.17
1.18.18
1.18.19
1.18.2
1.18.3
1.18.3.post1
1.18.4
1.18.5
1.18.6.post0
1.18.7
1.18.8
1.18.9
1.18.9.post0
1.18.9.post1
1.19.0
1.19.1
1.2.0
1.2.1
1.2.2
1.2.3
1.2.4
1.2.5
1.20.0
1.20.1
1.20.2
1.20.3
1.21.0
1.21.1
1.21.2
1.22.0
1.23.0
1.24.0
1.25.0
1.25.1
1.26.0
1.27.0
1.28.0
1.28.1
1.28.2
1.28.3
1.29.0
1.3.0
1.30.0
1.31.0
1.31.1
1.32.0
1.32.1
1.32.2
1.33.0
1.34.0
1.34.1
1.34.2
1.34.3
1.35.0
1.35.1
1.36.0
1.36.1
1.36.2
1.36.3
1.36.4
1.37.0
1.37.1
1.37.2
1.38.0
1.38.1
1.38.2
1.38.3
1.38.4
1.38.5
1.38.6
1.39.0
1.39.1
1.39.2
1.39.3
1.39.4
1.4.0
1.4.1
1.4.2
1.40.0
1.40.1
1.40.2
1.41.0
1.42.0
1.42.1
1.42.2
1.42.3
1.42.4
1.42.5
1.42.6
1.42.6.post0
1.42.7
1.42.8
1.42.9
1.43.0
1.43.1
1.43.2
1.43.3
1.43.4
1.43.4.post0
1.43.4.post1
1.43.5
1.44.0
1.44.1
1.44.2
1.44.3
1.44.4
1.45.0
1.45.1
1.45.2
1.46.0
1.47.1
1.48.0
1.48.1
1.49.0
1.5.0
1.5.1
1.5.2
1.5.3
1.5.4
1.50.0
1.50.1
1.50.10
1.50.10.post0
1.50.11
1.50.12
1.50.13
1.50.14
1.50.14.post0
1.50.15
1.50.16
1.50.17
1.50.17.post0
1.50.18
1.50.18.post0
1.50.2
1.50.3
1.50.4
1.50.5
1.50.6
1.50.6.post0
1.50.7
1.50.8
1.50.9
1.50.9.post0
1.51.0
1.51.1
1.51.2
1.51.3
1.51.4
1.52.0
1.52.0.post0
1.52.1
1.53.0
1.54.0
1.55.0
1.55.0.post0
1.55.1
1.55.2
1.55.3
1.55.4
1.56.0
1.56.1
1.56.1.post0
1.56.1.post1
1.56.2
1.56.3
1.57.0
1.58.0
1.58.1
1.58.2
1.58.2.post0
1.58.3
1.58.4
1.59.0
1.6.0
1.6.1
1.60.0
1.60.0.post0
1.60.1
1.60.2
1.61.0
1.62.0
1.63.0
1.64.0
1.64.1
1.65.0
1.65.1
1.65.1.post0
1.65.1.post1
1.66.0
1.67.0
1.67.1
1.67.1.post0
1.68.0
1.69.0
1.7.0
1.7.1
1.7.2
1.70.0
1.70.1
1.70.2
1.71.0
1.71.1
1.72.0
1.72.1
1.8.0
1.9.0
1.9.1
1.9.2
1.9.3
1.9.3.1
2.0.0
2.0.1
2.1.0
2.10.0
2.100.0
2.101.1
2.102.0
2.103.0
2.104.0
2.105.0
2.106.0
2.107.0
2.108.0
2.109.0
2.11.0
2.110.0
2.111.0
2.112.0
2.112.1
2.112.2
2.113.0
2.114.0
2.115.0
2.116.0
2.117.0
2.118.0
2.119.0
2.12.0
2.120.0
2.121.0
2.121.1
2.121.2
2.122.0
2.122.1.dev0
2.123.0
2.124.0
2.125.0
2.126.0
2.127.0
2.128.0
2.129.0
2.13.0
2.130.0
2.131.0
2.131.1
2.132.0
2.133.0
2.134.0
2.134.1
2.135.0
2.135.1
2.135.1.post0
2.136.0
2.137.0
2.138.0
2.139.0
2.14.0
2.140.0
2.140.1
2.141.0
2.142.0
2.143.0
2.144.0
2.145.0
2.146.0
2.146.1
2.147.0
2.148.0
2.149.0
2.15.0
2.15.1
2.15.2
2.15.3
2.15.4
2.150.0
2.151.0
2.152.0
2.153.0
2.154.0
2.155.0
2.156.0
2.157.0
2.158.0
2.159.0
2.16.0
2.16.0.post0
2.16.1
2.16.2
2.16.3
2.16.3.post0
2.16.4
2.160.0
2.161.0
2.162.0
2.163.0
2.164.0
2.165.0
2.166.0
2.167.0
2.168.0
2.169.0
2.17.0
2.170.0
2.171.0
2.172.0
2.173.0
2.174.0
2.175.0
2.176.0
2.177.0
2.177.1
2.178.0
2.179.0
2.18.0
2.180.0
2.181.0
2.182.0
2.183.0
2.184.0
2.184.0.post0
2.185.0
2.186.0
2.187.0
2.188.0
2.189.0
2.19.0
2.190.0
2.191.0
2.192.0
2.192.1
2.193.0
2.194.0
2.195.0
2.195.1
2.196.0
2.197.0
2.197.1
2.198.0
2.198.1
2.199.0
2.2.0
2.20.0
2.200.0
2.200.1
2.201.0
2.202.0
2.202.1
2.203.0
2.203.1
2.204.0
2.205.0
2.206.0
2.207.0
2.207.1
2.208.0
2.209.0
2.21.0
2.210.0
2.211.0
2.212.0
2.213.0
2.214.0
2.214.1
2.214.2
2.214.3
2.215.0
2.216.0
2.216.1
2.217.0
2.218.0
2.218.1
2.219.0
2.22.0
2.220.0
2.221.0
2.221.1
2.222.0
2.222.1
2.223.0
2.224.0
2.224.1
2.224.2
2.224.3
2.224.4
2.225.0
2.226.0
2.226.1
2.227.0
2.228.0
2.229.0
2.23.0
2.23.1
2.23.2
2.23.3
2.23.4
2.23.4.post0
2.23.5
2.23.6
2.230.0
2.231.0
2.232.0
2.232.1
2.232.2
2.232.3
2.233.0
2.234.0
2.235.0
2.235.1
2.235.2
2.236.0
2.237.0
2.237.1
2.237.3
2.238.0
2.239.0
2.239.1
2.239.2
2.239.3
2.24.0
2.24.1
2.24.2
2.24.3
2.24.4
2.24.5
2.240.0
2.241.0
2.242.0
2.243.0
2.243.1
2.243.2
2.243.3
2.243.4
2.244.0
2.244.1
2.244.2
2.245.0
2.246.0
2.247.0
2.247.1
2.248.0
2.248.1
2.248.2
2.249.0
2.25.0
2.25.1
2.25.2
2.250.0
2.251.0
2.251.1
2.251.2.dev0
2.252.0
2.253.0
2.253.1
2.254.0
2.254.1
2.254.2.dev0
2.255.0
2.26.0
2.27.0
2.27.1
2.28.0
2.29.0
2.29.1
2.29.2
2.3.0
2.30.0
2.31.0
2.31.1
2.32.0
2.32.1
2.33.0
2.34.0
2.35.0
2.36.0
2.37.0
2.38.0
2.39.0
2.39.0.post0
2.39.1
2.4.0
2.4.1
2.4.2
2.40.0
2.41.0
2.42.0
2.42.1
2.43.0
2.44.0
2.45.0
2.46.0
2.46.1
2.47.0
2.47.1
2.47.2
2.47.2.post0
2.48.0
2.48.1
2.48.2
2.49.0
2.49.1
2.49.2
2.5.0
2.5.1
2.5.2
2.5.3
2.5.4
2.5.5
2.50.0
2.50.1
2.51.0
2.52.0
2.52.1
2.52.2
2.52.2.post0
2.53.0
2.54.0
2.54.1.dev0
2.55.0
2.56.0
2.57.0
2.58.0
2.59.0
2.59.1
2.59.1.post0
2.59.2
2.59.3
2.59.3.post0
2.59.4
2.59.5
2.59.6
2.59.7
2.59.8
2.6.0
2.60.0
2.61.0
2.62.0
2.63.0
2.63.1
2.63.2
2.64.0
2.65.0
2.66.0
2.66.1
2.66.2
2.66.2.post0
2.67.0
2.68.0
2.69.0
2.7.0
2.70.0
2.71.0
2.72.0
2.72.1
2.72.2
2.72.3
2.73.0
2.74.0
2.75.0
2.75.1
2.76.0
2.77.0
2.77.1
2.78.0
2.79.0
2.8.0
2.80.0
2.81.0
2.81.1
2.82.0
2.82.1
2.82.2
2.83.0
2.84.0
2.85.0
2.86.0
2.86.1
2.86.2
2.87.0
2.88.0
2.88.1
2.88.2
2.88.3
2.89.0
2.9.0
2.9.1
2.9.2
2.90.0
2.91.0
2.91.1
2.92.0
2.92.1
2.92.2
2.93.0
2.93.1
2.94.0
2.95.0
2.96.0
2.97.0
2.98.0
2.99.0
3.0
3.0.1
3.1.0
Fixed in
2.256.0
3.1.1
References
Updated Jul 07, 2026 · Source: OSV.dev
GHSA-5r2p-pjr8-7fh7
Mar 05, 2026
SageMaker Python SDK replaced eval() with safe parser in JumpStart search functionality
High
Local
Low
None
SummaryThis advisory addresses the use of the search_hub() function within the SageMaker Python SDK's JumpStart search functionality. An actor with the ability to control query parameters passed to the search_hub() function could potentially provide malformed input that causes the eval() function to execute arbitrary commands, access sensitive data, or compromise the execution environment. A defense-in-depth enhancement has been implemented to replace code evaluation with safe string operations when processing search query parameters. This enhancement removes the use of eval() from the execution path, replacing it with a safe recursive descent parser. The change was released in SageMaker Python SDK version 3.4.0 on January 23, 2026. This advisory is informational to help customers understand their responsibilities regarding input validation and configuration security under the AWS Shared Responsibility Model. ImpactCustomer applications that pass unsanitized or untrusted input directly to the search_hub() function's query parameter could be prone to Remote Code Execution (RCE), potentially allowing attackers to execute arbitrary commands, access sensitive data, or compromise the execution environment. While the SDK was functioning within the requirements of the shared responsibility model—where input sanitization falls on the customer side—additional safeguards have been added to support secure customer implementations and provide defense-in-depth protection. Impacted versions: All versions of SageMaker Python SDK prior to 3.4.0 PatchesOn January 23, 2026, an enhancement was made to SageMaker Python SDK version 3.4.0, which replaces eval() with a safe recursive descent parser that uses string operations for pattern matching with proper operator precedence and exception handling. We recommend upgrading to version 3.4.0 or later, using the following command: Customers using forked or derivative code should incorporate the fixes from the referenced pull request. WorkaroundsNo workarounds are needed, but as always you should ensure that your application is following security best practices:
References
If you have any questions or comments about this advisory, contact AWS Security via our vulnerability reporting page or email aws-security@amazon.com. Please do not create a public GitHub issue. AcknowledgementWe thank Dan Aridor (@daridor9) and the security research community for bringing these customer security considerations to our attention through the coordinated disclosure process and for collaborating on this issue through responsible disclosure practices. Affected versions
3.0
3.0.1
3.1.0
3.1.1
3.2.0
3.3.0
3.3.1
Fixed in
3.4.0
References
Updated Oct 02, 2026 · Source: OSV.dev |