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

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...

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...

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...

OS Command Injection

sagemaker is vulnerable to OS Command Injection. The vulnerability is due to the capturedependencies function in the sagemaker.serve.saveretrive.version100.save.utils module. An attacker can execute arbitrary code or cause a denial of service by passing an inappropriate command as the...

Deserialization Of Untrusted Data

sagemaker is vulnerable to Deserialization of Untrusted Data. The vulnerability is due the deserialization of pickled object arrays within the sagemaker.basedeserializers.NumpyDeserializer module, which could allow an unprivileged third party to cause Remote Code Execution or Denial of Service...

GHSA-7PC3-PR3Q-58VG sagemaker-python-sdk Command Injection vulnerability

Impact The capturedependencies function in sagemaker.serve.saveretrive.version100.save.utils module before version 2.214.3 allows for potentially unsafe Operating System OS Command Injection if inappropriate command is passed as the “requirementspath” parameter. This consequently may allow an...

sagemaker-python-sdk vulnerable to Deserialization of Untrusted Data

Impact sagemaker.basedeserializers.NumpyDeserializer module before v2.218.0 allows potentially unsafe deserialization when untrusted data is passed as pickled object arrays. This consequently may allow an unprivileged third party to cause remote code execution, denial of service, affecting both...

GHSA-WJVX-JHPJ-R54R sagemaker-python-sdk vulnerable to Deserialization of Untrusted Data

Impact sagemaker.basedeserializers.NumpyDeserializer module before v2.218.0 allows potentially unsafe deserialization when untrusted data is passed as pickled object arrays. This consequently may allow an unprivileged third party to cause remote code execution, denial of service, affecting both...

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...

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...

CVE-2024-34072 Deserialization of Untrusted Data in sagemaker-python-sdk

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...