| ID |
CVE-2026-34760
|
| Sažetak |
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. |
| Reference |
|
| CVSS |
| Base: | 5.9 |
| Impact: | 4.2 |
| Exploitability: | 1.6 |
|
| Pristup |
| Vektor | Složenost | Autentikacija |
| NETWORK |
HIGH |
LOW |
|
| Impact |
| Povjerljivost | Cjelovitost | Dostupnost |
| NONE |
HIGH |
LOW |
|
| CVSS vektor |
CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:N/I:H/A:L |
| Zadnje važnije ažuriranje |
02-04-2026 - 20:16 |
| Objavljeno |
02-04-2026 - 20:16 |
