{"cve":"CVE-2026-34760","nvd":{"published":"2026-04-02T20:16:25.437","modified":"2026-07-24T21:10:00.143","status":"Analyzed","description":"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.","cvss_v4":null,"cvss_v3":{"version":"3.1","vector":"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:L","score":7.1},"cwes":["CWE-20"],"references":["https://github.com/vllm-project/vllm/commit/c7f98b4d0a63b32ed939e2b6dfaa8a626e9b46c4","https://github.com/vllm-project/vllm/pull/37058","https://github.com/vllm-project/vllm/releases/tag/v0.18.0","https://github.com/vllm-project/vllm/security/advisories/GHSA-6c4r-fmh3-7rh8"],"products":["vllm:vllm"],"source":"nvd","synced_at":"2026-10-19T22:28:59.047572785+00:00"},"epss":{"cve":"CVE-2026-34760","score":0.00277,"percentile":0.20179,"date":"2026-10-31"},"kev":null,"osv":[{"id":"GHSA-6c4r-fmh3-7rh8","url":"https://osv.dev/vulnerability/GHSA-6c4r-fmh3-7rh8","summary":"vLLM: Processing differential in multi-channel audio downmixing enables hidden-input/moderation bypass for audio models","modified":"2026-07-17T17:00:52.155049383Z","packages":[{"ecosystem":"PyPI","name":"vllm","purl":"pkg:pypi/vllm","ranges":[">=0.5.5 <0.18.0"],"fixed":["0.18.0"]}]},{"id":"PYSEC-2026-2299","url":"https://osv.dev/vulnerability/PYSEC-2026-2299","summary":"","modified":"2026-07-13T07:15:12.553209687Z","packages":[{"ecosystem":"PyPI","name":"vllm","purl":"pkg:pypi/vllm","ranges":[">=0.5.5 <0.18.0"],"fixed":["0.18.0"]}]}],"attribution":["This product uses the NVD API but is not endorsed or certified by the NVD.","EPSS scores: FIRST Exploit Prediction Scoring System, https://www.first.org/epss","Known exploited vulnerabilities: CISA Known Exploited Vulnerabilities Catalog, https://www.cisa.gov/known-exploited-vulnerabilities-catalog","Package advisories: OSV (https://osv.dev), from the GitHub Advisory Database, PyPA, Go, RustSec and other ecosystem databases, under CC-BY 4.0 or CC0","CVE records: the CVE Program's CVE List (https://www.cve.org), under its terms of use (https://www.cve.org/Legal/TermsOfUse). CVE is a registered trademark of The MITRE Corporation; this product is not affiliated with the CVE Program."]}