AI and data stack advisories

Severe, 6 weeks1490Projects326

1490 severe, 6 weeks · 326 projects

PyTorchGHSA-63cw-57p8-fm3p

PyTorch Vulnerable to Remote Code Execution via Untrusted Checkpoint Files

PyTorch

CVE-2026-24747 · Published Jan 27, 2026 · updated Nov 4, 2026

High8.8
Fix: upgrade to 2.10.0 or later
GitHub advisory

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

Affected versions

PackageAffectedFixed in
torch
PyPI
< 2.10.02.10.0
Details and references

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