high7.5
CVE-2025-24357
vllm: Malicious model to RCE by torch.load in hf_model_weights_iterator
Impact
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 packages
| Ecosystem | Package | Affected | Fixed in |
|---|---|---|---|
| pip | vllm | < 0.7.0 | 0.7.0 |
Affected products
| Vendor | Product | Affected versions |
|---|---|---|
| Vllm | Vllm | before 0.7.0 |
Weakness classification
References
- NVD record
- CVE.org record
- GitHub advisory
- https://github.com/vllm-project/vllm/commit/d3d6bb13fb62da3234addf6574922a4ec0513d04
- https://github.com/vllm-project/vllm/pull/12366
- https://github.com/vllm-project/vllm/security/advisories/GHSA-rh4j-5rhw-hr54
- https://pytorch.org/docs/stable/generated/torch.load.html
- https://github.com/advisories/GHSA-rh4j-5rhw-hr54
- https://nvd.nist.gov/vuln/detail/CVE-2025-24357
- https://github.com/vllm-project/vllm/releases/tag/v0.7.0
- https://github.com/pypa/advisory-database/tree/main/vulns/vllm/PYSEC-2025-58.yaml