GitHub Advisoryadvisory · PyPI
GHSA-rh4j-5rhw-hr54 vllm: Malicious model to RCE by torch.load in hf_model_weights_iterator
HIGH
Official page ↗
- Aliases
- CVE-2025-24357
- Ecosystem
- PyPI
- Packages
- vllm
- Severity
- High
- CVSS vector
- CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H
- Weaknesses
- CWE-502
- Reviewed
- 2025-01-27
Affected packages
• PyPI vllm: < 0.7.0 → fixed in 0.7.0
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
Related
Alias · CVE (1)
- CVE-2025-24357 vLLM is a library for LLM inference and serving. vulnerability
Weakness · CWE (1)
- CWE-502 Deserialization of Untrusted Data weakness
References
- 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