CVE-2026-22773

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.

PUBLISHED Reserved 2026-01-09 | Published 2026-01-10 | Updated 2026-01-12 | Assigner GitHub_M

Problem types

CWE-770: Allocation of Resources Without Limits or Throttling

Product status

References

github.com/...t/vllm/security/advisories/GHSA-grg2-63fw-f2qr

cve.org (CVE-2026-22773)

nvd.nist.gov (CVE-2026-22773)

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