{"action":"Upgrade vllm to 0.12.0 or later.","affected":[{"fixed":"0.12.0","introduced":"0.6.4"}],"component":"vllm","cve_ids":["CVE-2026-22773"],"ecosystem":"PyPI","epss":0.00442,"exploited":false,"fixed_versions":["0.12.0"],"ghsa_id":"GHSA-grg2-63fw-f2qr","id":"tcs_01M5KGSJ2QSC6VFT9HTV3FB0C7","modified_at":"2026-05-20T09:19:21.486475Z","published_at":"2026-01-10T07:16:03.527Z","references":["https://osv.dev/vulnerability/PYSEC-2026-143","https://github.com/vllm-project/vllm/security/advisories/GHSA-grg2-63fw-f2qr"],"severity":{"label":"high","score":7.5},"sources":[{"source":"osv","source_id":"PYSEC-2026-143","url":"https://osv.dev/vulnerability/PYSEC-2026-143"}],"summary":"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 visio"}