CVE-2026-24747
PyTorch Vulnerable to Remote Code Execution via Untrusted Checkpoint Files
Summary
### 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
Affected packages
| Ecosystem | Package | Affected versions | Fixed versions |
|---|---|---|---|
| PyPI | torch | — | 2.10.0 |
Remediation: Upgrade to 2.10.0 or later.
References
Includes data from the GitHub Advisory Database, licensed under CC-BY 4.0.
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EPSS scores provided by the FIRST.org Exploit Prediction Scoring System.