GHSA-63cw-57p8-fm3p
PyTorch Vulnerable to Remote Code Execution via Untrusted Checkpoint Files
Packages
Details
As written in the advisory (Markdown source, shown as plain text).
### 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
References
External links from the advisory. They lead to third-party sites.
- 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
- https://pypi.org/project/pytorch
- https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-24747.json