CVE-2026-34760
Gravedad CVSS v3.1:
MEDIA
Tipo:
CWE-20
Validación incorrecta de entrada
Fecha de publicación:
02/04/2026
Última modificación:
02/04/2026
Descripción
*** Pendiente de traducción *** 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.
Impacto
Puntuación base 3.x
5.90
Gravedad 3.x
MEDIA