Arbitrary Code Injection Affecting pytorch package, versions <2.12.0+dfsg2-1
Threat Intelligence
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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- published29 Jan 2026
- disclosed27 Jan 2026
Introduced: 27 Jan 2026
CVE-2026-24747 (opens in a new tab)How to fix?
Upgrade Debian:unstable pytorch to version 2.12.0+dfsg2-1 or higher.
NVD Description
Note: Versions mentioned in the description apply only to the upstream pytorch package and not the pytorch package as distributed by Debian.
See How to fix? for Debian:unstable relevant fixed versions and status.
PyTorch is a Python package that provides tensor computation. Prior to version 2.10.0, 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. Version 2.10.0 fixes the issue.
References
- https://security-tracker.debian.org/tracker/CVE-2026-24747
- https://github.com/pytorch/pytorch/163122/commit/954dc5183ee9205cbe79876ad05dd2d9ae752139
- https://github.com/pytorch/pytorch/issues/163105
- https://github.com/pytorch/pytorch/releases/tag/v2.10.0
- https://github.com/pytorch/pytorch/security/advisories/GHSA-63cw-57p8-fm3p