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  5. CVE-2026-24747

CVE-2026-24747: PyTorch Vulnerable to Remote Code Execution via Untrusted Checkpoint Files

January 27, 2026 (updated January 29, 2026)

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.

References

  • github.com/advisories/GHSA-63cw-57p8-fm3p
  • github.com/pytorch/pytorch
  • github.com/pytorch/pytorch/163122/commit/954dc5183ee9205cbe79876ad05dd2d9ae752139
  • github.com/pytorch/pytorch/issues/163105
  • github.com/pytorch/pytorch/releases/tag/v2.10.0
  • github.com/pytorch/pytorch/security/advisories/GHSA-63cw-57p8-fm3p
  • nvd.nist.gov/vuln/detail/CVE-2026-24747

Code Behaviors & Features

Detect and mitigate CVE-2026-24747 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 →

Affected versions

All versions before 2.10.0

Fixed versions

  • 2.10.0

Solution

Upgrade to version 2.10.0 or above.

Impact 8.8 HIGH

CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

Learn more about CVSS

Weakness

  • CWE-502: Deserialization of Untrusted Data
  • CWE-94: Improper Control of Generation of Code ('Code Injection')

Source file

pypi/pytorch/CVE-2026-24747.yml

Spotted a mistake? Edit the file on GitLab.

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