CVE-2026-22773 PUBLISHED

vLLM is vulnerable to DoS in Idefics3 vision models via image payload with ambiguous dimensions

Assigner: GitHub_M
Reserved: 09.01.2026 Published: 10.01.2026 Updated: 12.01.2026

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.

Metrics

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

Product Status

Vendor vllm-project
Product vllm
Versions
  • Version >= 0.6.4, < 0.12.0 is affected

References

Problem Types

  • CWE-770: Allocation of Resources Without Limits or Throttling CWE