mediumCVSS 6.5NVD status: Analyzed

CVE-2026-22773

vLLM is an inference and serving engine for large language models (LLMs).

ComponentvLLM
Severitymedium (CVSS 6.5)
CVSS vectorCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Published (NVD)2026-01-10
Last modified2026-06-17
Affected versions
vllm >= 0.6.4, < 0.12.0
Fixed in0.12.0
WeaknessCWE-770
CISA KEVnot listed

NVD 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.

Does CVE-2026-22773 hit the version you run?Paste your docker-compose.yml, requirements.txt or package.json. The scanner checks your pinned versions against this CVE and every other one we track for vLLM.
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What to do

  • Upgrade vLLM to 0.12.0 or later.
  • Do not expose the component's API or UI to the internet without authentication in front of it.

Sources

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