CVE-2026-34760

published 2026-04-02

CVE-2026-34760: 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…

Priority P3 37 high 7.1 CVSS 3.1

AV N AC L PR L UI N S U C N I H A L

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.

Affected

3 ranges

Vendor	Product	Version range	Fixed in
vllm-project	vllm	—	—
vllm	vllm	>= 0.5.5 < 0.18.0	0.18.0
vllm	vllm	>= 0.5.5 < 0.18.0	0.18.0

CVSS provenance

nvd v3.1 7.1 HIGH CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:L

vendor_redhat 5.9 MEDIUM

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CWE-20 CWE-358