CVE-2025-62372
vLLM vulnerable to DoS with incorrect shape of multimodal embedding inputs
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.
INFO
Published Date :
Nov. 21, 2025, 2:15 a.m.
Last Modified :
Dec. 4, 2025, 5:40 p.m.
Remotely Exploit :
Yes !
Source :
[email protected]
CVSS Scores
| Score | Version | Severity | Vector | Exploitability Score | Impact Score | Source |
|---|---|---|---|---|---|---|
| CVSS 3.1 | MEDIUM | [email protected] | ||||
| CVSS 4.0 | HIGH | [email protected] |
Solution
- Update vLLM to version 0.11.1 or later.
- Ensure input data shape matches model requirements.
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2025-62372.
| URL | 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 |
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2025-62372 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2025-62372
weaknesses.
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2025-62372 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2025-62372 vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
-
Initial Analysis by [email protected]
Dec. 04, 2025
Action Type Old Value New Value Added CVSS V3.1 AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H Added CPE Configuration OR *cpe:2.3:a:vllm:vllm:0.11.1:rc0:*:*:*:*:*:* *cpe:2.3:a:vllm:vllm:0.11.1:rc1:*:*:*:*:*:* *cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:* versions from (including) 0.5.5 up to (excluding) 0.11.1 Added Reference Type GitHub, Inc.: https://github.com/vllm-project/vllm/commit/58fab50d82838d5014f4a14d991fdb9352c9c84b Types: Patch Added Reference Type GitHub, Inc.: https://github.com/vllm-project/vllm/pull/27204 Types: Issue Tracking, Patch, Vendor Advisory Added Reference Type GitHub, Inc.: https://github.com/vllm-project/vllm/pull/6613 Types: Issue Tracking Added Reference Type GitHub, Inc.: https://github.com/vllm-project/vllm/security/advisories/GHSA-pmqf-x6x8-p7qw Types: Mitigation, Vendor Advisory -
New CVE Received by [email protected]
Nov. 21, 2025
Action Type Old Value New Value Added 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. Added CVSS V4.0 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 Added CWE CWE-129 Added Reference https://github.com/vllm-project/vllm/commit/58fab50d82838d5014f4a14d991fdb9352c9c84b Added Reference https://github.com/vllm-project/vllm/pull/27204 Added Reference https://github.com/vllm-project/vllm/pull/6613 Added Reference https://github.com/vllm-project/vllm/security/advisories/GHSA-pmqf-x6x8-p7qw