# PyTorch Vulnerable to Remote Code Execution via Untrusted Checkpoint Files

Advisory record · `GHSA-63cw-57p8-fm3p`

- **Identifiers:** `GHSA-63cw-57p8-fm3p` · `BIT-pytorch-2026-24747` · `CVE-2026-24747` · `PYSEC-2026-1856` · `PYSEC-2026-2286`
- **State:** Confirmed
- **Severity:** CVSS 8.8 High
- **Critical:** No
- **Weakness (CWE):** [CWE-94](https://cwe.mitre.org/data/definitions/94.html) · [CWE-502](https://cwe.mitre.org/data/definitions/502.html)
- **Tags:** [Code injection](https://agentprime.io/advisories/tag/code-injection.md) · [Insecure deserialization](https://agentprime.io/advisories/tag/deserialization.md)
- **Published:** 27 Jan 2026
- **Updated:** 4 Nov 2026
- **Reviewed by a person:** No

Published by the GitHub Advisory Database at 27 Jan 2026, 20:10 UTC. agentprime has not analysed this yet, so whether it affects any app is not known.

## Affected packages

- `torch` (PyPI): affected `<2.10.0`; fixed in `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

- 8.8 High, CVSS 3.1: `CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H`, from CNA (GitHub_M)

- **CISA KEV:** Not listed.
- **EPSS:** 0.0080, the 57th percentile, on 13 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](https://github.com/advisories/GHSA-63cw-57p8-fm3p)
- 31 Oct 2026, 15:04 UTC: First seen by agentprime
- 31 Oct 2026, 15:04 UTC: [Confirmed by OSV](https://osv.dev/vulnerability/GHSA-63cw-57p8-fm3p)

## Sources

- [GitHub Advisory Database: GHSA-63cw-57p8-fm3p](https://github.com/advisories/GHSA-63cw-57p8-fm3p)
- [OSV: GHSA-63cw-57p8-fm3p](https://osv.dev/vulnerability/GHSA-63cw-57p8-fm3p)
- <https://github.com/pytorch/pytorch/security/advisories/GHSA-63cw-57p8-fm3p>
- <https://nvd.nist.gov/vuln/detail/CVE-2026-24747>
- <https://github.com/pytorch/pytorch/issues/163105>
- <https://access.redhat.com/errata/RHSA-2026:24977>
- <https://access.redhat.com/security/cve/CVE-2026-24747>
- <https://bugzilla.redhat.com/show_bug.cgi?id=2433612>
- <https://github.com/advisories/GHSA-63cw-57p8-fm3p>
- <https://github.com/pypa/advisory-database/tree/main/vulns/pytorch/PYSEC-2026-1856.yaml>
- <https://github.com/pypa/advisory-database/tree/main/vulns/torch/PYSEC-2026-2286.yaml>
- <https://github.com/pytorch/pytorch>
- <https://github.com/pytorch/pytorch/163122/commit/954dc5183ee9205cbe79876ad05dd2d9ae752139>
- <https://github.com/pytorch/pytorch/releases/tag/v2.10.0>

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.

## Check whether this affects you

A Match means an installed version is in the affected range above. Most don’t affect the app; agentprime hasn’t analysed this one yet.

- With the agentprime MCP server (<https://api.agentprime.io/mcp>), ask your agent to check the project: `check_lockfile` sends a lockfile, `check_packages` a list of installed packages, and both return the Matches and the upgrades that clear them. `get_advisory` returns this record. Setup: <https://agentprime.io/mcp.md>
- In a browser: <https://agentprime.io/check/> reads your lockfile in the browser, never uploading it.
- Whether it touches your code, with file and line: the Claude Code plugin, <https://agentprime.io/plugin.md>
- As JSON: <https://api.agentprime.io/v1/advisories/GHSA-63cw-57p8-fm3p>, or `POST https://api.agentprime.io/v1/match` with your packages (<https://agentprime.io/api.md>)

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The web page: <https://agentprime.io/advisories/GHSA-63cw-57p8-fm3p/>. Everything for agents: <https://agentprime.io/llms.txt>.