CVEFinder.io

CVE-2026-34760

🔶 medium
🔍 Scan for this CVE
Summary

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

Description

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.

CVSS Score
5.9
Medium
EPSS Score
0.1
Exploit Probability
Published Date
2026-04-02
First Seen: 2026-04-05
📊 Relative Risk Intelligence

This CVE is Lower Risk - more severe than 33.4% of all 326,604 vulnerabilities in our database.

#217,570
Below average severity
Severity Percentile
🎯 CISA SSVC Assessment Updated: Apr 3, 2026
🔍 Exploitation Status
None
No known exploits
⚙️ Automatable
NO
Requires human interaction
💥 Technical Impact
Partial
Limited system impact
SSVC data provided by CISA
Last Modified 2026-05-11
Source NVD 🔗
CVSS Vector 3.1 CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:N/I:H/A:L
CWE IDs (Weakness Types)
CWE-20

📦 Affected Products 1

Vendor Product Status Affected Versions
vllm vllm Affected
> 0.5.5 < 0.18.0

🔗 References 4

https://github.com/vllm-project/vllm/commit/c7f98b4d...
Patch
https://github.com/vllm-project/vllm/pull/37058
Issue Tracking
https://github.com/vllm-project/vllm/releases/tag/v0...
Release Notes
https://github.com/vllm-project/vllm/security/adviso...
Vendor Advisory

🔗 Related CVEs 6

CVE ID Severity CVSS EPSS Summary Published
CVE-2026-44222 🔶 medium 6.5 0.0 vLLM is an inference and serving engine for large language models (LLMs). From 0.6.1 to before 0.20.0, there is a a Toke... 2026-05-12
CVE-2026-44223 🔶 medium 6.5 0.0 vLLM is an inference and serving engine for large language models (LLMs). From to before 0.20.0, the extract_hidden_sta... 2026-05-12
CVE-2026-7141 🔶 medium 5.6 0.1 A vulnerability was found in vllm up to 0.19.0. The affected element is the function has_mamba_layers of the file vllm/v... 2026-04-27
CVE-2026-34753 🔶 medium 5.4 0.0 vLLM is an inference and serving engine for large language models (LLMs). From 0.16.0 to before 0.19.0, a server-side re... 2026-04-06
CVE-2026-34755 🔶 medium 6.5 0.1 vLLM is an inference and serving engine for large language models (LLMs). From 0.7.0 to before 0.19.0, the VideoMediaIO.... 2026-04-06
CVE-2026-34756 🔶 medium 6.5 0.0 vLLM is an inference and serving engine for large language models (LLMs). From 0.1.0 to before 0.19.0, a Denial of Servi... 2026-04-06
These CVEs affect the same products