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

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...

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...

CVE-2024-4343: Improper Neutralization of Special Elements used in an OS Command

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...

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...

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...

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...

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-2024-35199: Exposure of Resource to Wrong Sphere

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-2024-35198 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...

TorchServe vulnerable to bypass of allowed_urls configuration

Impact 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 file is downloaded, it can be referenced without providing a URL the second time, which...