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CVE-2026-22773

MEDIUM
6.5

Description

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.

CVE Details

CVSS v3.1 Score6.5
SeverityMEDIUM
CVSS VectorCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Attack VectorNETWORK
ComplexityLOW
Privileges RequiredLOW
User InteractionNONE
Published1/10/2026
Last Modified1/27/2026
Sourcenvd
Honeypot Sightings0

Affected Products

vllm:vllm

Weaknesses (CWE)

CWE-770

IOC Correlations

No correlations recorded

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