Issue Description 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…
| CVE ID | CVE-2026-34760 |
| Vendor | Unknown Vendor |
| Affected Product | Unknown Product |
| Vulnerability Type | Security Vulnerability |
| CVSS Score | 5.9 (MEDIUM) |
| EPSS Score | 0.3% probability of exploitation in the next 30 days |
| Actively Exploited | ✅ Yes |
| Patch Status | Pending Vendor Disclosure |
| Reported By | CYBERDUDEBIVASH SENTINEL APEX Intelligence (via sentinel_apex) |
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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:
https://github.com/librosa/librosa/blob/af8c839fb15317fa2712ea66e7a22da6a9267b32/librosa/core/audio.py#L478 #
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Attackers can craft special multichannel audio files containing: 1. Normal content in front channels (L/R) 2. Either interference signals or hidden content in the LFE channel
Notice: It is worth noting that not only t
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