CVE-2025-0508

CVE-2025-0508 affects the SageMaker Workflow component in aws/sagemaker-python-sdk, with MD5 hash collisions across all versions leading to potential workflow replacements and integrity issues in pipelines. The issue is documented across multiple feeds (including Red Hat, OSV, circl, and CVE list...

CVE-2025-0508 MD5 Hash Collision in SageMaker Workflow in aws/sagemaker-python-sdk

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...

MD5 Hash Collision in SageMaker Workflow

The possibility exists that MD5 collisions could occur in past cache configurations, potentially leading to workflows being inadvertently replaced. Impact In a SageMaker workflow, there is a potential risk associated with using MD5 hashes due to hash collisions. MD5 is vulnerable to collision...

CVE-2024-4343

A Python command injection vulnerability exists in the SagemakerLLM class's complete method within ./privategpt/components/llm/custom/sagemaker.py of the imartinez/privategpt application, versions up to and including 0.3.0. The vulnerability arises due to the use of the eval function to parse a...

CVE-2024-4343 Python Command Injection in imartinez/privategpt

A Python command injection vulnerability exists in the SagemakerLLM class's complete method within ./privategpt/components/llm/custom/sagemaker.py of the imartinez/privategpt application, versions up to and including 0.3.0. The vulnerability arises due to the use of the eval function to parse a...

CVE-2024-4343 Python Command Injection in imartinez/privategpt

A Python command injection vulnerability exists in the SagemakerLLM class's complete method within ./privategpt/components/llm/custom/sagemaker.py of the imartinez/privategpt application, versions up to and including 0.3.0. The vulnerability arises due to the use of the eval function to parse a...

CVE-2024-4343 Python Command Injection in imartinez/privategpt

A Python command injection vulnerability exists in the SagemakerLLM class's complete method within ./privategpt/components/llm/custom/sagemaker.py of the imartinez/privategpt application, versions up to and including 0.3.0. The vulnerability arises due to the use of the eval function to parse a...

CVE-2024-4343

The CVE-2024-4343 entry describes a Python command injection in the imartinez/privategpt project. Affected component: SagemakerLLM.complete() in ./private_gpt/components/llm/custom/sagemaker.py, with versions up to and including 0.3.0. Root cause: unsafe parsing of a remote SageMaker LLM endpoint...

Token Leakage

sagemakertrainin is vulnerable to Token Leakage. The vulnerability is due to the logging of CodeArtifact authorization tokens in log files, which, when pushed to CloudWatch Log streams, It can allow unauthorized access to CodeArtifact resources...

GHSA-635V-PC42-FR74 AWS SageMaker Training Toolkit logs CodeArtifact Authorization token

Description For SageMaker Training Toolkit1 versions 4.7.4; 4.7.3; 4.7.2; 4.7.1; 4.7.0, the authorization tokens for CodeArtifact temporary token with an expiration of 12 hours were logged in the log files when the CodeArtifact capability was enabled. If customers push these log files to their...

AWS SageMaker Training Toolkit logs CodeArtifact Authorization token

Description For SageMaker Training Toolkit1 versions 4.7.4; 4.7.3; 4.7.2; 4.7.1; 4.7.0, the authorization tokens for CodeArtifact temporary token with an expiration of 12 hours were logged in the log files when the CodeArtifact capability was enabled. If customers push these log files to their...

PT-2024-40110 · Amazon · Cloudwatch +2

Name of the Vulnerable Software and Affected Versions: SageMaker Training Toolkit versions 4.7.0 through 4.7.4 Description: The issue concerns the logging of authorization tokens for CodeArtifact in log files when the CodeArtifact capability is enabled. These tokens have an expiration of 12 hours...

Illuminating the Shadows: Managing the Risks of Shadow AI in Modern Enterprises

Understanding the challenge of Shadow AI Shadow AI – a dramatic term for a new problem. With the rise of widely available consumer level AI services with easy-to-use chat interfaces, anyone from the summer intern to the CEO can easily use these shiny and new AI products. However, anyone who’s eve...

CVE-2024-35198 TorchServe bypass allowed_urls configuration

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...

CVE-2024-35199 TorchServe gRPC Port Exposure

TorchServe is a flexible and easy-to-use tool for serving and scaling PyTorch models in production. In affected versions the two gRPC ports 7070 and 7071, are not bound to localhost by default, so when TorchServe is launched, these two interfaces are bound to all interfaces. Customers using PyTor...

CVE-2024-35199

CVE-2024-35199 concerns TorchServe where two gRPC ports (7070, 7071) were bound to all interfaces by default, not localhost, potentially exposing the service. The issue affects TorchServe in affected versions; the root cause is incorrect binding configuration, enabling network exposure. The advis...

GHSA-HHPG-V63P-WP7W TorchServe gRPC Port Exposure

Impact The two gRPC ports 7070 and 7071, are not bound to localhost by default, so when TorchServe is launched, these two interfaces are bound to all interfaces. Customers using PyTorch inference Deep Learning Containers DLC through Amazon SageMaker and EKS are not affected. Patches This issue in...

TorchServe gRPC Port Exposure

Impact The two gRPC ports 7070 and 7071, are not bound to localhost by default, so when TorchServe is launched, these two interfaces are bound to all interfaces. Customers using PyTorch inference Deep Learning Containers DLC through Amazon SageMaker and EKS are not affected. Patches This issue in...