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Security Advisories

CVE-2026-22773

NVD

https://nvd.nist.gov/vuln/detail/CVE-2026-22773

Severity

6.5

Medium

CVSS V3

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Summary

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

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.

References

  • https://nvd.nist.gov/vuln/detail/CVE-2026-22773
  • https://github.com/advisories/GHSA-grg2-63fw-f2qr
  • https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/22xxx/CVE-2026-22773.json
  • https://github.com/vllm-project/vllm/security/advisories/GHSA-grg2-63fw-f2qr

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