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...

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...

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-2024-34072

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-2024-34073

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 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...

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...

CVE-2024-34072

Summary (CVE-2024-34072) : The sagemaker-python-sdk’s sagemaker.base_deserializers.NumpyDeserializer module before v2.218.0 is vulnerable to unsafe deserialization of untrusted pickled numpy object arrays. This can enable a local attacker to achieve remote code execution, denial of service, and i...

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...

CVE-2024-34073 Command Injection in sagemaker-python-sdk

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-2024-34073 Command Injection in sagemaker-python-sdk

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-2024-34073 Command Injection in sagemaker-python-sdk

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-2024-34073

The CVE concerns the sagemaker-python-sdk, where the capture_dependencies function in sagemaker.serve.save_retrive.version_1_0_0.save.utils allows potentially unsafe OS command injection if a malicious requirements_path is passed. This could enable remote code execution, denial of service, and co...

SageMaker Python SDK 安全漏洞

SageMaker Python SDK is an open source library open sourced by Amazon Web Services. It is used for training and deploying machine learning models on Amazon SageMaker. A security vulnerability exists in the SageMaker Python SDK prior to version 2.214.3, which stems from a command injection...