{"id":"CVE-2026-34760","summary":"vLLM: Downmix Implementation Differences as Attack Vectors Against Audio AI Models","details":"vLLM is an inference and serving engine for large language models (LLMs). From version 0.5.5 to before version 0.18.0, Librosa defaults to using numpy.mean for mono downmixing (to_mono), while the international standard ITU-R BS.775-4 specifies a weighted downmixing algorithm. This discrepancy results in inconsistency between audio heard by humans (e.g., through headphones/regular speakers) and audio processed by AI models (Which infra via Librosa, such as vllm, transformer). This issue has been patched in version 0.18.0.","aliases":["GHSA-6c4r-fmh3-7rh8","PYSEC-2026-2299"],"modified":"2026-07-15T01:49:00.436307365Z","published":"2026-04-02T18:59:49.638Z","database_specific":{"cwe_ids":["CWE-20"],"osv_generated_from":"https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/34xxx/CVE-2026-34760.json","cna_assigner":"GitHub_M"},"references":[{"type":"WEB","url":"https://github.com/vllm-project/vllm/releases/tag/v0.18.0"},{"type":"ADVISORY","url":"https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/34xxx/CVE-2026-34760.json"},{"type":"ADVISORY","url":"https://github.com/vllm-project/vllm/security/advisories/GHSA-6c4r-fmh3-7rh8"},{"type":"ADVISORY","url":"https://nvd.nist.gov/vuln/detail/CVE-2026-34760"},{"type":"FIX","url":"https://github.com/vllm-project/vllm/commit/c7f98b4d0a63b32ed939e2b6dfaa8a626e9b46c4"},{"type":"FIX","url":"https://github.com/vllm-project/vllm/pull/37058"}],"affected":[{"ranges":[{"type":"GIT","repo":"https://github.com/vllm-project/vllm","events":[{"introduced":"09c7792610ada9f88bbf87d32b472dd44bf23cc2"},{"fixed":"bcf2be96120005e9aea171927f85055a6a5c0cf6"},{"fixed":"c7f98b4d0a63b32ed939e2b6dfaa8a626e9b46c4"}],"database_specific":{"source":["CPE_RANGE","REFERENCES"],"cpe":"cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:*","extracted_events":[{"introduced":"0.5.5"},{"fixed":"0.18.0"}]}}],"versions":["v0.18.0rc2","v0.18.0rc1","v0.17.2rc0","v0.18.0rc0","v0.17.1rc0","v0.17.0rc0","v0.16.0rc1","v0.15.2rc0","v0.16.0rc0","v0.15.0rc1","v0.14.0rc1","v0.14.0rc0","v0.13.0rc1","v0.11.1","v0.11.1rc6","v0.11.1rc5","v0.11.1rc4","v0.11.1rc3","v0.11.1rc2","v0.11.1rc1","v0.11.1rc0","v0.11.0rc1","v0.10.2rc2","v0.10.2rc1","v0.10.1rc1","v0.10.0rc2","v0.10.0","v0.10.0rc1","v0.9.2rc1","v0.9.1rc2","v0.9.1","v0.9.1rc1","v0.9.0","v0.8.4","v0.8.3rc1","v0.8.2","v0.8.1","v0.8.0rc2","v0.8.0rc1","v0.7.3","v0.7.2","v0.7.1","v0.7.0","v0.6.6.post1","v0.6.6","v0.6.5","v0.6.4.post1","v0.6.4","v0.6.3.post1","v0.6.3","v0.6.2","v0.6.1.post2","v0.6.1.post1","v0.6.1","v0.6.0","v0.5.5"],"database_specific":{"source":"https://storage.googleapis.com/cve-osv-conversion/osv-output/CVE-2026-34760.json"}}],"schema_version":"1.7.5","severity":[{"type":"CVSS_V3","score":"CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:N/I:H/A:L"}]}