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CVE-2026-34760

Librosa

Popis

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 5.9EPSS 0.267%Riziko 0.6
Zobraziť zdroj
Zverejnené
2026-04-02 20:16:25
Dotknuté verzie
<0.18.0
Typ
Package
Posledná úprava
2026-07-24 21:10:00
Vektor
CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:N/I:H/A:L