Deserialization in 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: 0.007 (48.9th 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
- Vllm-project Vllm — versions < 0.7.0
Weakness classification (CWE)
References
- security-advisories@github.com (x_refsource_CONFIRM, Vendor Advisory)
- security-advisories@github.com (Patch, x_refsource_MISC, Issue Tracking)
- security-advisories@github.com (Patch, x_refsource_MISC)
- security-advisories@github.com (Technical Description, x_refsource_MISC)
Frequently asked questions
- What is CVE-2025-24357?
- CVE-2025-24357 is a high-severity vulnerability in 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.