{"data":{"id":"a343f17d-768d-481d-8f34-cd6771155fa1","title":"CVE-2026-57173: vLLM is an inference and serving engine for large language models. Prior to 0.24.0, the input_audio handling path for /v","summary":"vLLM (a system for running large language models) had a security flaw in versions before 0.24.0 where audio files sent to the chat endpoint could bypass safety limits designed to prevent memory overload. An attacker could submit a small compressed audio file that expands into massive data, crashing the system, without needing to log in first.","solution":"This issue is fixed in version 0.24.0.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2026-57173","publishedAt":"2026-09-16T17:17:24.603Z","cveId":"CVE-2026-57173","cweIds":["CWE-770"],"cvssScore":"6.5","cvssSeverity":"medium","severity":"medium","attackType":["denial_of_service"],"issueType":"vulnerability","affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":["vLLM"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H","attackVector":"network","attackComplexity":"low","privilegesRequired":"low","userInteraction":"none","exploitMaturity":"unknown","epssScore":0,"patchAvailable":null,"disclosureDate":"2026-09-16T17:17:24.603Z","capecIds":["CAPEC-130"],"crossRefCount":0,"attackSophistication":"trivial","impactType":["availability"],"aiComponentTargeted":"inference","llmSpecific":true,"classifierConfidence":0.95,"researchCategory":null,"atlasIds":null}}