Cleartext Storage of Sensitive Information

Overview sagemaker is an Open source library for training and deploying models on Amazon SageMaker. Affected versions of this package are vulnerable to Cleartext Storage of Sensitive Information in the ModelBuilder/Serve component. An attacker can extract sensitive HMAC signing keys by accessing...

PT-2026-42603

Summary Amazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the ModelBuilder/Serve component stores an HMAC signing key in cleartext as a container environment variable,...

CVE-2026-8597

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...

CVE-2026-8597 Missing integrity verification in Triton inference handler in Amazon SageMaker Python SDK

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...

CVE-2026-8596 Cleartext storage of HMAC signing key in Amazon SageMaker Python SDK ModelBuilder/Serve path

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 special...

CVE-2026-8596

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 special...

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 v2.257.2 and v3.8.0 contained security vulnerabilities. These vulnerabilities stemmed from the...

PT-2026-25547

Name of the Vulnerable Software and Affected Versions mlflow versions prior to 3.7.0 Description A command injection issue exists due to the direct interpolation of user-supplied container image names into shell commands without proper sanitization. These commands are then executed using the...

GHSA-5R2P-PJR8-7FH7 SageMaker Python SDK replaced eval() with safe parser in JumpStart search functionality

Summary This advisory addresses the use of the searchhub function within the SageMaker Python SDK's JumpStart search functionality. An actor with the ability to control query parameters passed to the searchhub function could potentially provide malformed input that causes the eval function to...

CVE-2026-1778

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

SageMaker Python SDK (before v3.1.1 or v2.256.0) disables TLS certificate verification in the Triton Python backend during model import, allowing HTTPS requests to succeed with invalid/self-signed certificates. Affected versions: SDK <3.1.1 and

CVE-2026-1778

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 CVE-2026-1777 issue affects the Amazon SageMaker Python SDK prior to v3.2.0 and v2.256.0, where the ModelBuilder HMAC signing key is exposed in cleartext within DescribeTrainingJob responses. A privileged attacker who can both call DescribeTrainingJob and modify objects in the Training Jobs S...

Malicious code in amzn-sagemaker-studio (PyPI)

--- -= Per source details. Do not edit below this line.=- Source: kam193 a557d275cca7627fa4d3e2c72f0fc9b78fc5ac70aa87a0ab586f1abf9f8777a6 Package exfiltrates the environment variables during the import --- Category: MALICIOUS - The campaign has clearly malicious intent, like infostealers. Campaig...

UBUNTU-CVE-2024-35198

TorchServe is a flexible and easy-to-use tool for serving and scaling PyTorch models in production. TorchServe 's check on allowedurls configuration can be by-passed if the URL contains characters such as ".." but it does not prevent the model from being downloaded into the model store. Once a fi...

PT-2024-25683 · Amazon · Sagemaker-Python-Sdk

Name of the Vulnerable Software and Affected Versions: sagemaker-python-sdk versions prior to 2.218.0 Description: The issue concerns potentially unsafe deserialization in the sagemaker.base deserializers.NumpyDeserializer module when untrusted data is passed as pickled object arrays. This may...