CVE-2025-3001: PyTorch is vulnerable to memory corruption through its torch.lstm_cell function
(updated )
A vulnerability classified as critical was found in PyTorch 2.6.0. This vulnerability affects the function torch.lstm_cell. The manipulation leads to memory corruption. The attack needs to be approached locally. The exploit has been disclosed to the public and may be used.
A patch is available through commit 999d94b.
References
- github.com/advisories/GHSA-qfhq-4f3w-5fph
- github.com/pypa/advisory-database/tree/main/vulns/torch/PYSEC-2025-195.yaml
- github.com/pytorch/pytorch/commit/999d94b5ede5f4ec111ba7dd144129e2c2725b03
- github.com/pytorch/pytorch/issues/149626
- github.com/pytorch/pytorch/issues/149626
- nvd.nist.gov/vuln/detail/CVE-2025-3001
- vuldb.com/?ctiid.302050
- vuldb.com/?id.302050
- vuldb.com/?submit.524212
Code Behaviors & Features
Detect and mitigate CVE-2025-3001 with GitLab Dependency Scanning
Secure your software supply chain by verifying that all open source dependencies used in your projects contain no disclosed vulnerabilities. Dependency Scanning using SBOM also detects vulnerabilities from proprietary advisories that this site does not include. Learn more about Dependency Scanning using SBOM →