{"action":"Upgrade vllm to 0.24.0 or later.","affected":[{"fixed":"0.24.0","introduced":"0"}],"component":"vllm","cve_ids":["CVE-2026-55574"],"ecosystem":"PyPI","epss":0.00583,"exploited":false,"fixed_versions":["0.24.0"],"ghsa_id":"GHSA-rwxx-mrjm-wc2m","id":"tcs_01M5KGYNG2TYT7B0PE3YKF2NYQ","modified_at":"2026-07-13T07:15:46.675101580Z","published_at":"2026-07-06T21:16:57.347Z","references":["https://osv.dev/vulnerability/PYSEC-2026-2304","https://github.com/vllm-project/vllm/security/advisories/GHSA-rwxx-mrjm-wc2m","https://github.com/vllm-project/vllm/commit/2b3006076c5e9bc4cda9e03e3641388de3c5c286","https://github.com/vllm-project/vllm/pull/45118"],"severity":{"label":"high","score":7.5},"sources":[{"source":"osv","source_id":"PYSEC-2026-2304","url":"https://osv.dev/vulnerability/PYSEC-2026-2304"}],"summary":"vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. Prior to 0.24.0, the structured_outputs.regex API parameter passes a user-supplied regular expression string direc"}