CVE-2025-24357HIGH 8.8EPSS p46.1%
CVE-2025-24357CVE-2025-24357
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.
Scoring
| CVSS 3.1 | 8.8 (HIGH) |
| Vector | CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H |
| EPSS | 0.65% probability of exploitation · percentile 46.1% · 2026-06-18T12:00:27Z |
| Published | 2025-01-27 |
| Last modified | 2025-06-27 |
Underlying weaknesses· 1
References
1
| Type | Target | Confidence | Tier |
|---|---|---|---|
| Weakness | Deserialization of Untrusted Datacwe-502 | 0% | live |
Related by meaning· 6
Nearest entities by semantic similarity across the cs-graph corpus.