{"action":"Upgrade vllm to 0.8.0 or later.","affected":[{"fixed":"0.8.0","introduced":"0"}],"component":"vllm","cve_ids":["CVE-2025-29770"],"ecosystem":"PyPI","epss":0.00467,"exploited":false,"fixed_versions":["0.8.0"],"ghsa_id":"GHSA-mgrm-fgjv-mhv8","id":"tcs_01M5KGP9TB4X114WHM4R4VYJZF","modified_at":"2026-05-20T09:19:21.431189Z","published_at":"2025-03-19T16:15:31.977Z","references":["https://osv.dev/vulnerability/PYSEC-2025-223","https://github.com/vllm-project/vllm/blob/53be4a863486d02bd96a59c674bbec23eec508f6/vllm/model_executor/guided_decoding/outlines_logits_processors.py","https://github.com/vllm-project/vllm/pull/14837","https://github.com/vllm-project/vllm/security/advisories/GHSA-mgrm-fgjv-mhv8"],"severity":{"label":"medium","score":6.5},"sources":[{"source":"osv","source_id":"PYSEC-2025-223","url":"https://osv.dev/vulnerability/PYSEC-2025-223"}],"summary":"vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. The outlines library is one of the backends used by vLLM to support structured output (a.k.a. guided decoding). Ou"}