GHSA-63cw-57p8-fm3p
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GHSA-63cw-57p8-fm3p
Summary: PyTorch Vulnerable to Remote Code Execution via Untrusted Checkpoint Files
Details: ### 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: 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
Affected packages
Package
Name: torch
Purl: pkg:pypi/torch
Affected ranges
Type: ECOSYSTEM
Events:
