gcdRadar
archive/Patch now/AIR-2026-1448
closedclosed 21 Oct 2026Patch now2 Disclosed vulnerabilityAI

CVE-2026-114052: vLLM MOSS-Audio Model Serving Memory Exhaustion Vulnerability

vLLM

vLLM contains an unbounded dictionary caching flaw in MOSS-Audio model serving that leads to memory exhaustion. Unauthenticated attackers can send crafted requests to crash the API server process.

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

CVSS
8.7
EPSS
0.01 · top 57% · 2026-11-13
fix status
Fix status unknown
first report
21 Oct 2026
last update
21 Oct 2026

Timeline · 1

  1. 21 Oct 2026CVE-2026-114052: vLLM after 0.24.0 and before 0.31.0 contains a memory exhaustion vulnerability in MOSS-Audio model serving that caches a…

Sources · 1

Titles and links belong to their publishers. The summary above is written by gcdRadar in its own words; data is CC BY-SA 4.0.

Classification

AI role
Attack on AI
categories
Infrastructure vulnerability
severity
2 · Disclosed vulnerability
fix status
Fix status unknown
targets
Framework / tooling
owasp llm top 10
LLM03:2025 Supply Chain
mitre atlas
no technique for these categories
dates
happened 21 Oct 2026 · first reported 21 Oct 2026
origin
NVD
Vulnerability record from NVD / the GitHub Advisory Database. This product uses the NVD API but is not endorsed or certified by the NVD.
record
confidence 0.95 · created 2026-10-21 05:04Z · updated 2026-10-21 05:04Z

Lane, AI role, categories and severity come from the classifier; the OWASP and ATLAS rows are derived from the categories. How these are assigned

Copy a brief

This record as a short Markdown brief, for a ticket, a chat or a coding agent.

the brief as text
# CVE-2026-114052: vLLM MOSS-Audio Model Serving Memory Exhaustion Vulnerability

https://gcdradar.vercel.app/incidents/cve-2026-114052-vllm-moss-audio-model-serving-memory-exhaust · AIR-2026-1448 · closed 2026-10-21

- Lane: Patch now
- Severity: 2 (Disclosed vulnerability)
- Fix status: Fix status unknown
- First reported: 2026-10-21
- AI role: Attack on AI
- Products: vLLM
- CVE ids: CVE-2026-114052
- CVSS: 8.7

## Summary

vLLM contains an unbounded dictionary caching flaw in MOSS-Audio model serving that leads to memory exhaustion. Unauthenticated attackers can send crafted requests to crash the API server process.

## What to do

No action recorded; read the sources below and the vendor's advisory.

## Latest updates

- 2026-10-21: CVE-2026-114052: vLLM after 0.24.0 and before 0.31.0 contains a memory exhaustion vulnerability in MOSS-Audio model serving that caches a… (https://nvd.nist.gov/vuln/detail/CVE-2026-114052)

## Sources

- 2026-10-21 NVD: CVE-2026-114052: vLLM after 0.24.0 and before 0.31.0 contains a memory exhaustion vulnerability in MOSS-Audio model serving that caches a… https://nvd.nist.gov/vuln/detail/CVE-2026-114052

Verify against the vendor's advisory before changing production. Data CC BY-SA 4.0, https://gcdradar.vercel.app.

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