CVE 6.5 MEDIUM

vLLM is vulnerable to DoS in Idefics3 vision models via image payload with ambiguous dimensions_CVE-2026-22773

6.5 / 10
MEDIUM
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

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.

Basic Information

ID CVE-2026-22773
Source GitHub_M
Published Jan 10, 2026 at 06:39

Affected Product

Vendor vllm-project
Product vllm
Version >= 0.6.4, < 0.12.0
Affected Versions vllm-project vllm >= 0.6.4, < 0.12.0

CWE Classification

References

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