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_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 v3 7.5 HIGH

7.5^/10

CVSS v3 : HIGH

Vector :

Exploitability : 1.6 / Impact : 5.9

Attack Vector NETWORK

Attack Complexity HIGH

Privileges Required NONE

User Interaction REQUIRED

Confidentiality Impact HIGH

Integrity Impact HIGH

Availability Impact HIGH

Scope UNCHANGED

References

Link	Resource
https://github.com/vllm-project/vllm/commit/d3d6bb13fb62da3234addf6574922a4ec0513d04	Patch
https://github.com/vllm-project/vllm/pull/12366	Issue Tracking Patch
https://github.com/vllm-project/vllm/security/advisories/GHSA-rh4j-5rhw-hr54	Vendor Advisory
https://pytorch.org/docs/stable/generated/torch.load.html	Technical Description

Configurations

Configuration 1 (hide)

cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:*

History

No history.

Information

Published : 2025-01-27 18:15

Updated : 2025-06-27 19:30

NVD link : CVE-2025-24357

Mitre link : CVE-2025-24357

CVE.ORG link : CVE-2025-24357

JSON object : View

Products Affected

vllm

vllm

CWE

CWE-502

Deserialization of Untrusted Data

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