Amazon SageMaker Python SDK vulnerabilities

Cleartext storage of sensitive information in the @step and @remote decorator pipeline component in Amazon SageMaker Python SDK before v3.11.0 and v2.256.0 might allow an authenticated remote user to extract the HMAC signing key from DescribePipeline API responses and forge valid integrity signatures for crafted function payloads, achieving code execution in another user's pipeline execution context within the same AWS account.

Missing integrity verification in the Triton inference handler in Amazon SageMaker Python SDK v2 before v2.257.2 and v3 before v3.8.0 might allow a remote authenticated actor to achieve code execution in inference containers via replacement of model artifacts in S3 with a specially crafted pickle payload that is deserialized without verification.

The ModelBuilder/Serve components in Amazon SageMaker Python SDK before v2.257.2 and v3 before v3.8.0 have cleartext storage of sensitive information. This may 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, leading to code execution in inference containers.