CVE-2025-24357 (GCVE-0-2025-24357)

Vulnerability from cvelistv5 – Published: 2025-01-27 17:38 – Updated: 2025-02-12 20:41
VLAI
Title
vLLM allows a malicious model RCE by torch.load in hf_model_weights_iterator
Summary
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.
Severity
7.5 (High)
CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-01-27 18:20 UTC
CWE
  • CWE-502 - Deserialization of Untrusted Data
Assigner
GitHub_M CNA under the mitre root
CNA scorecard C 72/100 over 7799 records in the last 180 days details
References
Impacted products
Vendor Product Version CPE status
vllm-project vllm Affected: < 0.7.0
guessed Create a notification for this product.
Show details on NVD website
To clipboard 

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