145 matches found
Insertion of Sensitive Information Into Sent Data
Overview sagemaker is an Open source library for training and deploying models on Amazon SageMaker. Affected versions of this package are vulnerable to Insertion of Sensitive Information Into Sent Data via the storage of HMAC keys and disclosure through the DescribeTrainingJob API. An attacker ca...
GHSA-RJRP-M2JW-PV9C SageMaker Python SDK has Exposed HMAC
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...
GHSA-62RC-F4V9-H543 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...
Missing Validation of OpenSSL Certificate
Overview sagemaker is an Open source library for training and deploying models on Amazon SageMaker. Affected versions of this package are vulnerable to Missing Validation of OpenSSL Certificate via the global disabling of SSL certificate verification in the Triton Python backend. An attacker in a...
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-2026-1777
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 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-2026-1778 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
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-2026-1777 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...
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-2026-5709
Name of the Vulnerable Software and Affected Versions Amazon SageMaker Python SDK versions prior to 3.1.1 Amazon SageMaker Python SDK versions prior to 2.256.0 Description The SageMaker Python SDK has an issue where TLS certificate verification is disabled for HTTPS connections when importing a...
Amazon SageMaker Python SDK 安全漏洞
Amazon SageMaker Python SDK is a development toolkit provided by Amazon, Inc., for building, training, and deploying machine learning models. Versions of the Amazon SageMaker Python SDK prior to v3.1.1 and v2.256.0 contained security vulnerabilities. These vulnerabilities stemmed from the disabli...
Amazon SageMaker Python SDK 安全漏洞
Amazon SageMaker Python SDK is a development toolkit provided by Amazon, Inc., for building, training, and deploying machine learning models. Versions of the Amazon SageMaker Python SDK prior to v3.2.0 and v2.256.0 contained security vulnerabilities. These vulnerabilities stemmed from the plainte...
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...
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...
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...
MLflow SageMaker Command Injection Vulnerability
Description The vulnerability exists in /mlflow/sagemaker/init.py at lines 161-167, where user-supplied container image names are directly interpolated into shell commands without proper sanitization before being passed to os.system. Vulnerable Code Path : CLI Input --container parameter ↓...
