CVE-2025-24357

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.

The following products are affected by CVE-2025-24357 vulnerability.

Here, you will find a curated list of external links that provide in-depth information to CVE-2025-24357.

URL	Resource
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://nvd.nist.gov/vuln/detail/CVE-2025-24357
https://pytorch.org/docs/stable/generated/torch.load.html
https://www.cve.org/CVERecord?id=CVE-2025-24357