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Vulnerability DatabaseCVE-2025-30001

CVE-2025-30001: 
Java vulnerability analysis and mitigation

Overview

A critical vulnerability was discovered in PyTorch version 2.6.0, specifically affecting the torch.lstm_cell function. The vulnerability was disclosed on March 31, 2025, and is tracked as CVE-2025-30001. This security flaw affects the PyTorch machine learning framework when implemented in Python environments (NVD).

Technical details

The vulnerability is characterized by memory corruption issues in the torch.lstm_cell function. It received a CVSS v4.0 base score of 4.8 (Medium) with the vector string CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N. The vulnerability is classified under CWE-119 (Improper Restriction of Operations within the Bounds of a Memory Buffer) (NVD).

Impact

The vulnerability leads to memory corruption when exploited, potentially affecting the confidentiality, integrity, and availability of the system. The CVSS scores indicate low to medium impact across various security metrics, with local access required for exploitation (NVD).

Mitigation and workarounds

The issue has been documented in the PyTorch GitHub repository, suggesting that users should monitor for updates and patches. The vulnerability is being tracked through the official issue tracking system (PyTorch Issue).

Additional resources

Source: This report was generated using AI

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