GHSA-63cw-57p8-fm3p

Suggest an improvement
Source
https://github.com/advisories/GHSA-63cw-57p8-fm3p
Import Source
https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2026/01/GHSA-63cw-57p8-fm3p/GHSA-63cw-57p8-fm3p.json
JSON Data
https://api.osv.dev/v1/vulns/GHSA-63cw-57p8-fm3p
Aliases
Published
2026-01-27T20:10:54Z
Modified
2026-02-03T03:04:39.703226Z
Severity
  • 8.8 (High) CVSS_V3 - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H CVSS Calculator
Summary
PyTorch Vulnerable to Remote Code Execution via Untrusted Checkpoint Files
Details

Summary

A vulnerability in PyTorch's weights_only unpickler allows an attacker to craft a malicious checkpoint file (.pth) that, when loaded with torch.load(..., weights_only=True), can corrupt memory and potentially lead to arbitrary code execution.

Vulnerability Details

The weights_only=True unpickler failed to properly validate pickle opcodes and storage metadata, allowing:

  1. Heap memory corruption via SETITEM/SETITEMS opcodes applied to non-dictionary types
  2. Storage size mismatch between declared element count and actual data in the archive

Impact

An attacker who can convince a user to load a malicious checkpoint file may achieve arbitrary code execution in the context of the victim's process.

Credit

Ji'an Zhou

Database specific
{
    "github_reviewed": true,
    "cwe_ids": [
        "CWE-502",
        "CWE-94"
    ],
    "nvd_published_at": "2026-01-27T22:15:56Z",
    "github_reviewed_at": "2026-01-27T20:10:54Z",
    "severity": "HIGH"
}
References

Affected packages

PyPI / pytorch

Package

Affected ranges

Type
ECOSYSTEM
Events
Introduced
0Unknown introduced version / All previous versions are affected
Fixed
2.10.0

Affected versions

0.*
0.1.2
1.*
1.0.2

Database specific

source
"https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2026/01/GHSA-63cw-57p8-fm3p/GHSA-63cw-57p8-fm3p.json"