CVE-2025-24357
HIGH EPSS 48.3%
Published Jan 27, 20251y ago · Modified Jun 17, 20261w ago
8.8 CVSS 3.1
Published Jan 27, 2025 1y ago
Last Modified Jun 17, 2026 1w ago
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.
CVSS Details
Base Score
Exploitability
Impact
Vector string
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H Attack Vector Network
Attack Complexity Low
Privileges Required None
User Interaction Required
Scope Unchanged
Confidentiality High
Integrity High
Availability High
Threat Intelligence
EPSS Exploit Probability
48.3% percentile
Exploit & Patch Status
No Known Exploit
Patch Available
Weaknesses 1
CWE-502 Deserialization of Untrusted Data Validation
Affected Products 1
| Vendor | Product | Version | Range |
|---|---|---|---|
| vllm | vllm | * | <0.7.0 |
References 4
- github.com https://github.com/vllm-project/vllm/commit/d3d6bb13fb62da3234addf6574922a4ec0513d04
- github.com https://github.com/vllm-project/vllm/pull/12366
- github.com https://github.com/vllm-project/vllm/security/advisories/GHSA-rh4j-5rhw-hr54
- pytorch.org https://pytorch.org/docs/stable/generated/torch.load.html
Remediation
- github.com https://github.com/vllm-project/vllm/commit/d3d6bb13fb62da3234addf6574922a4ec0513d04
- github.com https://github.com/vllm-project/vllm/pull/12366