CVEvulnerability
CVE-2025-24357
8.8 HIGH
Official page ↗
- Status
- Analyzed
- Published
- 2025-01-27
- Last modified
- 2026-06-17
- Assigner
- [email protected]
- CVSS 3.1 ([email protected])
- 7.5 HIGH — CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H
- CVSS 3.1 ([email protected])
- 8.8 HIGH — CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
- Weaknesses
- CWE-502
Description
vLLM is a library for LLM inference and serving. vllm/model_executor/weight_utils.py implements hf_model_weights_iterator to load the model checkpoint, which is downloaded from huggingface. It uses the torch.load function and the weights_only parameter defaults to False. When torch.load loads malicious pickle data, it will execute arbitrary code during unpickling. This vulnerability is fixed in v0.7.0.
Affected configurations
• vllm vllm (< 0.7.0)
Related
Weakness · CWE (1)
- CWE-502 Deserialization of Untrusted Data weakness
References
- https://github.com/vllm-project/vllm/commit/d3d6bb13fb62da3234addf6574922a4ec0513d04 Patch
- https://github.com/vllm-project/vllm/pull/12366 Issue Tracking, Patch
- https://github.com/vllm-project/vllm/security/advisories/GHSA-rh4j-5rhw-hr54 Vendor Advisory
- https://pytorch.org/docs/stable/generated/torch.load.html Technical Description