GHSA-rh4j-5rhw-hr54
vllm: Malicious model to RCE by torch.load in hf_model_weights_iterator
En bref
- Publiée
- Mise à jour
- CVE
- CVE-2025-24357
- Alias
- PYSEC-2025-58
- CVSS_V3
- CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H
Description
### Description The vllm/model_executor/weight_utils.py implements hf_model_weights_iterator to load the model checkpoint, which is downloaded from huggingface. It use torch.load function and weights_only parameter is default value False. There is a security warning on https://pytorch.org/docs/stable/generated/torch.load.html, when torch.load load a malicious pickle data it will execute arbitrary code during unpickling. ### Impact This vulnerability can be exploited to execute arbitrary codes and OS commands in the victim machine who fetch the pretrained repo remotely. Note that most models now use the safetensors format, which is not vulnerable to this issue. ### References * https://pytorch.org/docs/stable/generated/torch.load.html * Fix: https://github.com/vllm-project/vllm/pull/12366
Paquets affectés
| Paquet | Versions |
|---|---|
| PyPI · vllm | introduced 0, fixed 0.7.0 |
Références
- https://github.com/vllm-project/vllm/security/advisories/GHSA-rh4j-5rhw-hr54 WEB
- https://nvd.nist.gov/vuln/detail/CVE-2025-24357 ADVISORY
- https://github.com/vllm-project/vllm/pull/12366 WEB
- https://github.com/vllm-project/vllm/commit/d3d6bb13fb62da3234addf6574922a4ec0513d04 WEB
- https://github.com/pypa/advisory-database/tree/main/vulns/vllm/PYSEC-2025-58.yaml WEB
- https://github.com/vllm-project/vllm PACKAGE
- https://github.com/vllm-project/vllm/releases/tag/v0.7.0 WEB
- https://pytorch.org/docs/stable/generated/torch.load.html WEB
Sources
| Source | Licence |
|---|---|
| OSV.dev | CC-BY 4.0 — GitHub Advisory Database |