Home/CVE/vLLM is an inference and serving engine for large language models (LLMs). In versions from 0.6.4 to before 0.12.0, users
CVE

CVE-2026-22773

vLLM is an inference and serving engine for large language models (LLMs). In versions from 0.6.4 to before 0.12.0, users

vLLM is an inference and serving engine for large language models (LLMs). In versions from 0.6.4 to before 0.12.0, users can crash the vLLM engine serving multimodal models that use the Idefics3 vision model implementation by sending a specially crafted 1x1 pixel image. This causes a tensor dimension mismatch that results in an unhandled runtime error, leading to complete server termination.

This issue has been patched in version 0.12.0.

MEDIUM · CVSS 6.5 EPSS 0.00024
Schedule remediation
  • Public exploit or PoC is available
Sigma rules0 YARA rules0

Weakness Classification

Affected Products & Versions

1
vllm>= 0.6.4 and < 0.12.0

Affected Packages

1
Language-ecosystem packages (from OSV) tied to this CVE, with the version that fixes it - the dependency-level detail NVD doesn’t carry.
PyPI vllm MODERATE fixed in 0.12.0

Public Exploits & PoCs

1

Scoring & Timeline

6.5
MEDIUM · CVSS v3.1 · security-advisories@github.com
View on NVD
Attack Vector
Network Adjacent Local Physical
Attack Complexity
Low High
Privileges Required
None Low High
User Interaction
None Required
Scope
Unchanged Changed
Confidentiality
None Low High
Integrity
None Low High
Availability
None Low High
Published to NVD10 Jan 2026 · 07:16 AM
CVSS VectorCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
SSVC triage · cisa-vulnrichment
Exploitation
none
Automatable
no
Technical impact
partial
SSVC asks the questions that actually drive patch urgency: is it being exploited, can attacks be automated, and how total is the impact.

Vendor Advisories

3
rhsaRHSA-2026:10184Important
rhsaRHSA-2026:3462Important
rhsaRHSA-2026:3461Important
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