SageMaker Python SDK has Insecure TLS Configuration

Summary 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. Impact Arbitrary Code Execution: Disabling SSL verification...

CVE-2026-1778 TLS disabled by default in select aws/sagemaker-python-sdk configurations

Amazon SageMaker Python SDK before v3.1.1 or v2.256.0 disables TLS certificate verification for HTTPS connections made by the service when a Triton Python model is imported, incorrectly allowing for requests with invalid and self-signed certificates to succeed...

CVE-2026-1778 TLS disabled by default in select aws/sagemaker-python-sdk configurations

Amazon SageMaker Python SDK before v3.1.1 or v2.256.0 disables TLS certificate verification for HTTPS connections made by the service when a Triton Python model is imported, incorrectly allowing for requests with invalid and self-signed certificates to succeed...

CVE-2026-1777 Cleartext transmission of sensitive materials in aws/sagemaker-python-sdk

The Amazon SageMaker Python SDK before v3.2.0 and v2.256.0 includes the ModelBuilder HMAC signing key in the cleartext response elements of the DescribeTrainingJob function. A third party with permissions to both call this API and permissions to modify objects in the Training Jobs S3 output...

PT-2026-5708

Name of the Vulnerable Software and Affected Versions Amazon SageMaker Python SDK versions prior to 3.2.0 Amazon SageMaker Python SDK versions prior to 2.256.0 Description The Amazon SageMaker Python SDK contains the ModelBuilder HMAC signing key in cleartext within the response elements of the...

CVE-2026-1777: Cleartext Transmission of Sensitive Information

The Amazon SageMaker Python SDK before v3.2.0 and v2.256.0 includes the ModelBuilder HMAC signing key in the cleartext response elements of the DescribeTrainingJob function. A third party with permissions to both call this API and permissions to modify objects in the Training Jobs S3 output...

CVE-2026-1778: Improper Certificate Validation

Amazon SageMaker Python SDK before v3.1.1 or v2.256.0 disables TLS certificate verification for HTTPS connections made by the service when a Triton Python model is imported, incorrectly allowing for requests with invalid and self-signed certificates to succeed...

PT-2026-6479

Summary 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. Impact - Function and Payload...

EUVD-2024-1498

Malicious code in bioql PyPI...

CVE-2025-0508: Use of Weak Hash

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...

sagemaker-python-sdk 安全漏洞

sagemaker-python-sdk is an Amazon Web Services open source library for training and deploying machine learning models on Amazon SageMaker. A security vulnerability exists in sagemaker-python-sdk that stems from an MD5 hash collision in the SageMaker Workflow component that could result in workflo...

CVE-2024-34072

sagemaker-python-sdk is a library for training and deploying machine learning models on Amazon SageMaker. The sagemaker.basedeserializers.NumpyDeserializer module before v2.218.0 allows potentially unsafe deserialization when untrusted data is passed as pickled object arrays. This consequently ma...

CVE-2024-34073

sagemaker-python-sdk is a library for training and deploying machine learning models on Amazon SageMaker. In affected versions the capturedependencies function in sagemaker.serve.saveretrive.version100.save.utils module allows for potentially unsafe Operating System OS Command Injection if...

CVE-2024-34072

sagemaker-python-sdk is a library for training and deploying machine learning models on Amazon SageMaker. The sagemaker.basedeserializers.NumpyDeserializer module before v2.218.0 allows potentially unsafe deserialization when untrusted data is passed as pickled object arrays. This consequently ma...

CVE-2024-34072 Deserialization of Untrusted Data in sagemaker-python-sdk

sagemaker-python-sdk is a library for training and deploying machine learning models on Amazon SageMaker. The sagemaker.basedeserializers.NumpyDeserializer module before v2.218.0 allows potentially unsafe deserialization when untrusted data is passed as pickled object arrays. This consequently ma...

CVE-2024-34072 Deserialization of Untrusted Data in sagemaker-python-sdk

sagemaker-python-sdk is a library for training and deploying machine learning models on Amazon SageMaker. The sagemaker.basedeserializers.NumpyDeserializer module before v2.218.0 allows potentially unsafe deserialization when untrusted data is passed as pickled object arrays. This consequently ma...

CVE-2024-34072

Summary (CVE-2024-34072) : The sagemaker-python-sdk’s sagemaker.base_deserializers.NumpyDeserializer module before v2.218.0 is vulnerable to unsafe deserialization of untrusted pickled numpy object arrays. This can enable a local attacker to achieve remote code execution, denial of service, and i...

CVE-2024-34072 Deserialization of Untrusted Data in sagemaker-python-sdk

sagemaker-python-sdk is a library for training and deploying machine learning models on Amazon SageMaker. The sagemaker.basedeserializers.NumpyDeserializer module before v2.218.0 allows potentially unsafe deserialization when untrusted data is passed as pickled object arrays. This consequently ma...

CVE-2024-34073 Command Injection in sagemaker-python-sdk

sagemaker-python-sdk is a library for training and deploying machine learning models on Amazon SageMaker. In affected versions the capturedependencies function in sagemaker.serve.saveretrive.version100.save.utils module allows for potentially unsafe Operating System OS Command Injection if...

CVE-2024-34073 Command Injection in sagemaker-python-sdk

sagemaker-python-sdk is a library for training and deploying machine learning models on Amazon SageMaker. In affected versions the capturedependencies function in sagemaker.serve.saveretrive.version100.save.utils module allows for potentially unsafe Operating System OS Command Injection if...