Package Instance

SageMaker Python SDK has Exposed HMAC
SageMaker 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.

SageMaker Workflow component allows possibility of MD5 hash collisions
A vulnerability in the SageMaker Workflow component of aws/sagemaker-python-sdk allows for the possibility of MD5 hash collisions in all versions. This can lead to workflows being inadvertently replaced due to the reuse of results from different configurations that produce the same MD5 hash. This issue can cause integrity problems within the pipeline, potentially leading to erroneous processing outcomes.

SageMaker Python SDK has Insecure TLS Configuration
SageMaker 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.

sagemaker-python-sdk Command Injection vulnerability
The capture_dependencies function in `sagemaker.serve.save_retrive.version_1_0_0.save.utils` module before version 2.214.3 allows for potentially unsafe Operating System (OS) Command Injection if inappropriate command is passed as the “requirements_path” parameter. This consequently may allow an unprivileged third party to cause remote code execution, denial of service, affecting both confidentiality and integrity.

Impacted versions: <2.214.3

SageMaker Python SDK replaced eval() with safe parser in JumpStart search functionality
This 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](https://aws.amazon.com/compliance/shared-responsibility-model/).

sagemaker-python-sdk vulnerable to Deserialization of Untrusted Data
sagemaker.base_deserializers.NumpyDeserializer module before v2.218.0 allows potentially unsafe deserialization when untrusted data is passed as pickled object arrays. This consequently may allow an unprivileged third party to cause remote code execution, denial of service, affecting both confidentiality and integrity.

Impacted versions: <2.218.0.