CVE-2026-34760

תיאור (מקור, אנגלית)

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.

מדדים

CVSS 3.1

7.1 (HIGH) מקור הציון: NVD CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:L

EPSS — סבירות ניצול

0% (אחוזון 000) נכון ל-27/7/2026

CWE

CWE-20

מוצרים מושפעים

vllm: vllm

קישורים

• https://github.com/vllm-project/vllm/security/advisories/GHSA-6c4r-fmh3-7rh8 Vendor Advisory
• https://github.com/vllm-project/vllm/commit/c7f98b4d0a63b32ed939e2b6dfaa8a626e‮… Patch
• https://github.com/vllm-project/vllm/pull/37058 Issue Tracking
• https://github.com/vllm-project/vllm/releases/tag/v0.18.0 Release Notes