GHSA-63cw-57p8-fm3p: torch (CVE-2026-24747)

Package	Ecosystem	Affected	Fixed in
torch	PyPI	<2.10.0	2.10.0

Machine-written summary

Summary written by Claude Haiku from the source advisory. Not reviewed by a person.

The PyTorch torch package before 2.10.0 has a flaw in its weights_only unpickler, which fails to properly validate pickle opcodes and storage metadata. An attacker who can get a user to load a crafted checkpoint file (.pth) with torch.load(..., weights_only=True) may corrupt memory and potentially execute arbitrary code in the victim's process. Upgrade torch to version 2.10.0 or later.

Written 6 Nov 2026.

Not analysed yet

We haven’t published our analysis of this Advisory yet. Once a person has reviewed it, this page will say what’s vulnerable, what has to be true for your app to be affected, and how to check.

Severity and exploitation

Score	Rating	CVSS	Vector	Source
8.8	High	3.1	CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H	CNA (GitHub_M)

CISA KEV Not listed.
EPSS 0.0080, the 57th percentile, on 12 Nov 2026: FIRST’s estimate of the chance of exploitation in the next 30 days.

Timeline

27 Jan 2026, 20:10 UTC Confirmed by GitHub Advisory Database
31 Oct 2026, 15:04 UTC First seen by agentprime
31 Oct 2026, 15:04 UTC Confirmed by OSV

Sources

Facts on this page come from the GitHub Advisory Database (CC-BY 4.0), OSV and the other sources listed, as published. We don’t reproduce full advisory descriptions, which can contain exploit code.