CVE-2025-62372
HIGH EPSS 24.9%
Published Nov 21, 20257mo ago · Modified Jun 17, 20261w ago
8.3 CVSS 4.0
Published Nov 21, 2025 7mo ago
Last Modified Jun 17, 2026 1w ago
Description
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 Details
Base Score
Exploitability
Impact
Vector string
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:H/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X Attack Vector Network
Attack Complexity Low
Privileges Required Low
User Interaction None
Scope X
Threat Intelligence
EPSS Exploit Probability
24.9% percentile
Exploit & Patch Status
No Known Exploit
Patch Available
Weaknesses 1
CWE-129
Affected Products 3
References 4
- github.com https://github.com/vllm-project/vllm/commit/58fab50d82838d5014f4a14d991fdb9352c9c84b
- github.com https://github.com/vllm-project/vllm/pull/27204
- github.com https://github.com/vllm-project/vllm/pull/6613
- github.com https://github.com/vllm-project/vllm/security/advisories/GHSA-pmqf-x6x8-p7qw
Remediation
- github.com https://github.com/vllm-project/vllm/commit/58fab50d82838d5014f4a14d991fdb9352c9c84b
- github.com https://github.com/vllm-project/vllm/pull/27204