{"id":"CVE-2026-57173","title":"vLLM is an inference and serving engine for large language models","summary":"vLLM is an inference and serving engine for large language models. Prior to 0.24.0, the input_audio handling path for /v1/chat/completions calls AudioMediaIO.load_bytes or AudioMediaIO.load_file without passing VLLM_MAX_AUDIO_DECODE_DURA…","severity":"medium","cvss":6.5,"cvssVector":"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H","cwe":["CWE-770"],"vendor":"vllm","product":"vllm","affected":["vllm < 0.24.0"],"patched":["vllm 0.24.0"],"published":"2026-09-16","updated":"2026-10-07","sourceUpdated":"2026-10-07T14:24:22.100","source":"NVD","sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2026-57173","references":[{"url":"https://github.com/vllm-project/vllm/commit/3d20275bb4d434f53055c3c0b645fd8bb072965e","label":"security-advisories@github.com"},{"url":"https://github.com/vllm-project/vllm/pull/45908","label":"security-advisories@github.com"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.24.0","label":"security-advisories@github.com"},{"url":"https://github.com/vllm-project/vllm/security/advisories/GHSA-hcwq-8wjf-3gcr","label":"security-advisories@github.com"},{"url":"https://nvd.nist.gov/vuln/detail/CVE-2026-57173"},{"url":"https://github.com/advisories/GHSA-hcwq-8wjf-3gcr"},{"url":"https://github.com/vllm-project/vllm"},{"url":"https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-57173.json"},{"url":"https://access.redhat.com/security/cve/CVE-2026-57173"},{"url":"https://bugzilla.redhat.com/show_bug.cgi?id=2535557"},{"url":"https://www.cve.org/CVERecord?id=CVE-2026-57173"},{"url":"https://pypi.org/project/vllm"}],"tags":["nvd","cve.org","ghsa","pip","osv","csaf","vex","red-hat"],"epss":0.0073,"epssPercentile":0.54072,"aliases":["GHSA-hcwq-8wjf-3gcr","PYSEC-2026-4179"],"ecosystem":"pip","ssvc":{"exploitation":"none","automatable":"no","technicalImpact":"partial","timestamp":"2026-09-18T18:11:39.227201Z"},"ingestedAt":"2026-09-16T16:59:56.552Z","slug":"CVE-2026-57173","body":"## Overview\n\nvLLM is an inference and serving engine for large language models. Prior to 0.24.0, the input_audio handling path for /v1/chat/completions calls AudioMediaIO.load_bytes or AudioMediaIO.load_file without passing VLLM_MAX_AUDIO_DECODE_DURATION_S to the shared audio decoder. An unauthenticated client can therefore submit a small compressed audio input that expands into a very large float32 PCM allocation, bypassing the duration guard already used by /v1/audio/transcriptions and causing an out-of-memory worker crash. Inline data URLs reach this path without being bounded by VLLM_AUDIO_FETCH_TIMEOUT. The issue affects deployments serving an audio-capable model, and authentication changes only the deployment-specific reachability. This issue is fixed in version 0.24.0.\n\n## Affected\n\n- `vllm < 0.24.0`\n\n## Remediation\n\nUpgrade past the affected range:\n\n- `vllm 0.24.0`\n\n## Package advisory (CVE-2026-57173)\n\nAffected packages:\n\n- `vllm <= 0.23.0`\n\nPatched in:\n\n- `vllm 0.24.0`\n\nSource: https://github.com/advisories/GHSA-hcwq-8wjf-3gcr\n\n## Vendor advisories\n\n- **Red Hat VEX** · Moderate · affected: Red Hat AI Inference Server, Red Hat Enterprise Linux AI (RHEL AI) 3, Red Hat OpenShift AI (RHOAI) · no fix planned: Red Hat AI Inference Server, Red Hat Enterprise Linux AI (RHEL AI) 3, Red Hat OpenShift AI (RHOAI) · updated 2026-09-24 · [vex](https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-57173.json)","depth":"sunlit","depthScore":36,"depthScoreParts":{"impact":35.8,"likelihood":0.1,"exploitation":0,"ransomware":0},"changes":[]}