CVE-2026-104019

OS command injection in the Studio Space startup validation script in Amazon SageMaker Distribution 2.x before 2.14.12, 3.x before 3.9.12, 4.0.x before 4.0.11, 4.1.x before 4.1.11, 4.2.x before 4.2.8, 4.3.x before 4.3.5, and 4.4.x before 4.4.3, as used by Amazon SageMaker Unified Studio, might...

CVE-2026-104019 OS command injection in the Studio Space startup validation script in Amazon SageMaker Distribution when running on Amazon SageMaker Unified Studio

OS command injection in the Studio Space startup validation script in Amazon SageMaker Distribution 2.x before 2.14.12, 3.x before 3.9.12, 4.0.x before 4.0.11, 4.1.x before 4.1.11, 4.2.x before 4.2.8, 4.3.x before 4.3.5, and 4.4.x before 4.4.3, as used by Amazon SageMaker Unified Studio, might...

CVE-2026-24207

CVE-2026-24207 — NVIDIA Triton SageMaker Auth Bypass to Unauth RCE Unauthenticated attackers can reach the model-management surface of NVIDIA Triton Inference Server on the SageMaker and Vertex AI HTTP ports — bypassing the operator's --http-restricted-api configuration. Combined with the SageMak...

CVE-2026-83551

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 SageMaker DescribePipeline API responses and forge valid...

CVE-2026-83551 Cleartext storage of HMAC signing key in Amazon SageMaker Python SDK @step/@remote pipeline path

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 SageMaker DescribePipeline API responses and forge valid...

EUVD-2026-69418

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 SageMaker DescribePipeline API responses and forge valid...

CVE-2026-83551 Cleartext storage of HMAC signing key in Amazon SageMaker Python SDK @step/@remote pipeline path

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 SageMaker DescribePipeline API responses and forge valid...

CVE-2026-83551 Cleartext storage of HMAC signing key in Amazon SageMaker Python SDK @step/@remote pipeline path

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 SageMaker DescribePipeline API responses and forge valid...

CVE-2026-83551

Amazon SageMaker Python SDK versions prior to v3.11.0 and v2.256.0 store the HMAC signing key in cleartext within the @step and @remote decorator pipeline component. This allows an authenticated remote user to extract the key from SageMaker DescribePipeline API responses and forge valid integrity...

CVE-2026-83551: Cleartext Storage of Sensitive Information

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 SageMaker DescribePipeline API responses and forge valid...

PT-2026-84375

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 SageMaker DescribePipeline API responses and forge valid...

Amazon SageMaker Python SDK is missing integrity verification in its Triton inference handler

SummaryAmazon 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 Triton inference handler deserializes model artifacts without performing integrity verification, allowing...

Cleartext storage of HMAC signing key in Amazon SageMaker Python SDK ModelBuilder/Serve path

SummaryAmazon 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,...

PYSEC-2026-3060 Amazon SageMaker Python SDK is missing integrity verification in its Triton inference handler

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 Triton inference handler deserializes model artifacts without performing integrity verification, allowing...

PYSEC-2026-3059 Cleartext storage of HMAC signing key in Amazon SageMaker Python SDK ModelBuilder/Serve path

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,...

MLflow has a command injection in mlflow/sagemaker/__init__.py

A command injection vulnerability exists in mlflow/mlflow versions before v3.7.0, specifically in the mlflow/sagemaker/init.py file at lines 161-167. The vulnerability arises from the direct interpolation of user-supplied container image names into shell commands without proper sanitization, whic...

PYSEC-2026-2661 MLflow has a command injection in mlflow/sagemaker/__init__.py

A command injection vulnerability exists in mlflow/mlflow versions before v3.7.0, specifically in the mlflow/sagemaker/init.py file at lines 161-167. The vulnerability arises from the direct interpolation of user-supplied container image names into shell commands without proper sanitization, whic...

PT-2026-59310

A command injection vulnerability exists in mlflow/mlflow versions before v3.7.0, specifically in the mlflow/sagemaker/ init .py file at lines 161-167. The vulnerability arises from the direct interpolation of user-supplied container image names into shell commands without proper sanitization,...

PT-2026-59679

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,...

PT-2026-59680

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 Triton inference handler deserializes model artifacts without performing integrity verification, allowing...