PT-2026-29877

CVE-2026-34760

·

Published

2026-04-02

·

Updated

2026-07-17

Description by

CVSS 3.1
7.1
High
MetricsAV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:L
Name of the Vulnerable Software and Affected Versions vLLM versions 0.5.5 through 0.17.999
Description vLLM, an inference and serving engine for large language models (LLMs), exhibits an inconsistency in audio processing. Versions 0.5.5 through 0.17.999 utilize numpy.mean for mono downmixing via Librosa, deviating from the ITU-R BS.775-4 weighted downmixing standard. This discrepancy causes differences in audio perception between human listeners and AI models that process audio using Librosa.
Recommendations Update to version 0.18.0 or later.
Exploitability
Exploit
Fix
Impacts
Researchers
Vendors
Affected products
Related identifiers
GHSA-6C4R-FMH3-7RH8
PYSEC-2026-2299
Found an issue in the description? Have something to add? Feel free to write us 👾