Description
Cleartext storage of sensitive information in the ModelBuilder/Serve component in Amazon SageMaker Python SDK before v2.257.2 and v3 before v3.8.0 might allow a remote authenticated actor to extract the HMAC signing key from SageMaker API responses and forge valid integrity signatures for specially crafted model artifacts, achieving code execution in inference containers. This issue requires a remote authenticated actor with permissions to call SageMaker describe APIs and S3 write access to the model artifact path. To remediate this issue, we recommend upgrading to Amazon SageMaker Python SDK v2.257.2 or v3.8.0 and rebuild any models previously created with ModelBuilder using the updated SDK.
CVSS breakdown
CVSS 4.0
Attack Vector
Network
Attack Complexity
Low
Attack Requirements
None
Privileges Required
High
User Interaction
None
Confidentiality (Vulnerable System)
High
Integrity (Vulnerable System)
None
Availability (Vulnerable System)
None
Confidentiality (Subsequent System)
High
Integrity (Subsequent System)
High
Availability (Subsequent System)
High
CVSS 3.1
Attack Vector
Network
Attack Complexity
Low
Privileges Required
High
User Interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High
Affected products
- Amazon SageMaker Python SDK / AWS2.199.0 – 2.257.1
- Amazon SageMaker Python SDK / AWS3.0.0 – 3.7.1
References
- PATCHhttps://github.com/aws/sagemaker-python-sdk/releases/tag/v2.257.2
- PATCHhttps://github.com/aws/sagemaker-python-sdk/releases/tag/v3.8.0
- MISChttps://aws.amazon.com/security/security-bulletins/2026-031-aws/
- VENDOR_ADVISORYhttps://github.com/aws/sagemaker-python-sdk/security/advisories/GHSA-7hh5-prp2-mfh5