GCD AI RADAR
incidents/AIR-2026-0810

vLLM audio downmixing differential enables moderation bypass

Attack on AI2 Disclosed vulnerabilityInfrastructure vulnerabilityAdversarial evasion

A processing differential in multi-channel audio downmixing enables hidden-input and moderation bypasses for audio models in vLLM. The vulnerability stems from a discrepancy between Librosa and standard weighting algorithms.

disclosed CVENo confirmed exploitation, so this record is tracked as a disclosed vulnerability and not counted as an incident. It moves into the counts if CISA or the vendor confirms exploitation. Why

Details

type
Attack on AI
An AI model, agent or AI-powered product was the thing exploited, abused or leaked.
categories
  • Infrastructure vulnerabilityprimary
    CVEs and advisories in AI frameworks, inference servers, MCP servers, AI developer tools and hosting stacks.
  • Adversarial evasion
    Inputs crafted to make a model misclassify or miss detections (perturbations, evasion of AI-based defences).
owasp llm top 10
mitre atlas
Both rows are derived from the type and categories (OWASP 2025 edition, ATLAS release 2026.09), not classified per record. How
severity
2 · Disclosed vulnerability
CVE or vendor advisory, patched or patchable, no confirmed exploitation.
targets
Framework / tooling
products
vLLM, Librosa
incident date
17 Jul 2026
first reported
2 Apr 2026
origin
GitHub Advisory Database
Vulnerability record from NVD / the GitHub Advisory Database. This product uses the NVD API but is not endorsed or certified by the NVD.
classifier confidence
0.95 · published at or above 0.80; see the methodology
tags
CVE-2026-34760 · vllm · librosa
record
created 2026-10-18 07:00Z · updated 2026-10-18 10:04Z · json

Sources · 2

  1. 2026-04-02
    CVE-2026-34760: vLLM is an inference and serving engine for large language models (LLMs).
    NVD · nvd.nist.gov/vuln/detail/CVE-2026-34760
  2. 2026-07-17
    CVE-2026-34760: vLLM: Processing differential in multi-channel audio downmixing enables hidden-input/moderation bypass for audio models
    GitHub Advisory Database · github.com/advisories/GHSA-6c4r-fmh3-7rh8

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