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OpenAdvisories
Medium · 6.5 CVE-2026-22773 EUVD-2026-1865GHSA-grg2-63fw-f2qrPYSEC-2026-143

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

Published Jan 10, 2026 · Updated Jan 12, 2026 · Assigned by GitHub_M

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.

Affected products

VendorProductAffectedFixed
vllm-project vllm >= 0.6.4, < 0.12.0 —

Affected packages

EcosystemPackageAffectedFixedRecord
PyPI vllm >= 0.6.4, < 0.12.0 0.12.0 GHSA-grg2-63fw-f2qr

Advisories 1

References