Deserialization in Vllm-project Vllm
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_o…
Vulnerability class: Insecure Deserialization
EPSS: 0.010 (77.4th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 7.5 (High). Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H.
Affected products
- Vllm-project Vllm — versions < 0.7.0
Weakness classification (CWE)
References
- https://github.com/vllm-project/vllm/security/advisories/GHSA-rh4j-5rhw-hr54 (x_refsource_CONFIRM)
- https://github.com/vllm-project/vllm/pull/12366 (x_refsource_MISC)
- https://github.com/vllm-project/vllm/commit/d3d6bb13fb62da3234addf6574922a4ec0513d04 (x_refsource_MISC)
- https://pytorch.org/docs/stable/generated/torch.load.html (x_refsource_MISC)
Frequently asked questions
- What is CVE-2025-24357?
- CVE-2025-24357 is a high-severity vulnerability in Vllm-project Vllm, classified under Deserialization of Untrusted Data. CVSS score: 7.5/10. Published 2025-01-27.
- How severe is CVE-2025-24357?
- High severity. CVSS v3 base score is 7.5 out of 10.