CVE-2025-62372

vLLM is an inference and serving engine for large language models (LLMs). From version 0.5.5 to before 0.11.1, users can crash the vLLM engine serving multimodal models by passing multimodal embedding inputs with correct ndim but incorrect shape (e.g. hidden dimension is wrong), regardless of whether the model is intended to support such inputs (as defined in the Supported Models page). This issue has been patched in version 0.11.1.

CVSS v3 6.5 MEDIUM

6.5^/10

CVSS v3 : MEDIUM

Vector :

Exploitability : 2.8 / Impact : 3.6

Attack Vector NETWORK

Attack Complexity LOW

Privileges Required LOW

User Interaction NONE

Confidentiality Impact NONE

Integrity Impact NONE

Availability Impact HIGH

Scope UNCHANGED

References

Link	Resource
https://github.com/vllm-project/vllm/commit/58fab50d82838d5014f4a14d991fdb9352c9c84b	Patch
https://github.com/vllm-project/vllm/pull/27204	Issue Tracking Patch Vendor Advisory
https://github.com/vllm-project/vllm/pull/6613	Issue Tracking
https://github.com/vllm-project/vllm/security/advisories/GHSA-pmqf-x6x8-p7qw	Mitigation Vendor Advisory

Configurations

Configuration 1 (hide)

OR	cpe:2.3:a:vllm:vllm::::::::
	cpe:2.3:a:vllm:vllm:0.11.1:rc0::::::
	cpe:2.3:a:vllm:vllm:0.11.1:rc1::::::

History

No history.

Information

Published : 2025-11-21 02:15

Updated : 2025-12-04 17:40

NVD link : CVE-2025-62372

Mitre link : CVE-2025-62372

CVE.ORG link : CVE-2025-62372

JSON object : View

Products Affected

vllm

vllm

CWE

CWE-129

Improper Validation of Array Index

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