3302 matches found
CVE-2024-5452
A remote code execution RCE vulnerability exists in the lightning-ai/pytorch-lightning library version 2.2.1 due to improper handling of deserialized user input and mismanagement of dunder attributes by the deepdiff library. The library uses deepdiff.Delta objects to modify application state base...
CVE-2024-5452 RCE via Property/Class Pollution in lightning-ai/pytorch-lightning
A remote code execution RCE vulnerability exists in the lightning-ai/pytorch-lightning library version 2.2.1 due to improper handling of deserialized user input and mismanagement of dunder attributes by the deepdiff library. The library uses deepdiff.Delta objects to modify application state base...
CVE-2024-5452 RCE via Property/Class Pollution in lightning-ai/pytorch-lightning
A remote code execution RCE vulnerability exists in the lightning-ai/pytorch-lightning library version 2.2.1 due to improper handling of deserialized user input and mismanagement of dunder attributes by the deepdiff library. The library uses deepdiff.Delta objects to modify application state base...
CVE-2024-5452 RCE via Property/Class Pollution in lightning-ai/pytorch-lightning
A remote code execution RCE vulnerability exists in the lightning-ai/pytorch-lightning library version 2.2.1 due to improper handling of deserialized user input and mismanagement of dunder attributes by the deepdiff library. The library uses deepdiff.Delta objects to modify application state base...
CVE-2024-5452
CVE-2024-5452 affects lightning-ai/pytorch-lightning (v2.2.1) and arises from insecure deserialization via deepdiff.Delta, where dunder attributes can be manipulated to bypass whitelists and cause arbitrary attribute writes, yielding remote code execution (RCE) on self-hosted PyTorch Lightning ap...
Number withdrawn
PyTorch is a Python package in the PyTorch open source. This CVE number has been withdrawn...
PT-2024-36377
Name of the Vulnerable Software and Affected Versions: pytorch-lightning version 2.2.1 Description: A remote code execution issue exists due to improper handling of deserialized user input and mismanagement of dunder attributes by the deepdiff library. The library uses deepdiff.Delta objects to...
PT-2024-4009 · Pytorch · Pytorch
Name of the Vulnerable Software and Affected Versions: PyTorch versions prior to 2.2.2 Description: The vulnerability in PyTorch's torch.distributed.rpc framework allows for remote code execution RCE due to the lack of proper verification of functions being called during RPC operations. This...
Pytorch-Lightning Security Vulnerability
Pytorch-Lightning is an open source lightweight PyTorch wrapper. It is used for high performance Ai research. A security vulnerability exists in Pytorch-Lightning version 2.2.1, which stems from mishandling of deserialized user input and mismanagement of the dunder attribute, leading to a remote...
CVE-2024-5452: Improperly Controlled Modification of Dynamically-Determined Object Attributes
A remote code execution RCE vulnerability exists in the lightning-ai/pytorch-lightning library version 2.2.1 due to improper handling of deserialized user input and mismanagement of dunder attributes by the deepdiff library. The library uses deepdiff.Delta objects to modify application state base...
MLFlow unsafe deserialization
Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.5.0 or newer, enabling a maliciously uploaded PyTorch model to run arbitrary code on an end user’s system when interacted with...
GHSA-WF7F-8FXF-XFXC MLFlow unsafe deserialization
Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.5.0 or newer, enabling a maliciously uploaded PyTorch model to run arbitrary code on an end user’s system when interacted with...
CVE-2024-37059
Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.5.0 or newer, enabling a maliciously uploaded PyTorch model to run arbitrary code on an end user’s system when interacted with...
CVE-2024-37059
Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.5.0 or newer, enabling a maliciously uploaded PyTorch model to run arbitrary code on an end user’s system when interacted with...
CVE-2024-37059
Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.5.0 or newer, enabling a maliciously uploaded PyTorch model to run arbitrary code on an end user’s system when interacted with...
CVE-2024-37059
Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.5.0 or newer, enabling a maliciously uploaded PyTorch model to run arbitrary code on an end user’s system when interacted with...
CVE-2024-37059
Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.5.0 or newer, enabling a maliciously uploaded PyTorch model to run arbitrary code on an end user’s system when interacted with...
PT-2024-27274
Name of the Vulnerable Software and Affected Versions MLflow versions 0.5.0 and newer Description The issue allows deserialization of untrusted data, enabling a maliciously uploaded PyTorch model to run arbitrary code on an end user's system when interacted with. Recommendations For MLflow versio...
CVE-2024-37059: Deserialization of Untrusted Data
Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.5.0 or newer, enabling a maliciously uploaded PyTorch model to run arbitrary code on an end user’s system when interacted with...
