CVE-2026-54233: vLLM OOM Denial of Service via Audio Decompression

# CVE-2026-54233: vLLM OOM Denial of Service via Audio Decompression

https://gcdradar.vercel.app/incidents/cve-2026-54233-vllm-oom-denial-of-service-via-audio-decompre · AIR-2026-0760 · closed 2026-06-17

- Lane: Patch now
- Severity: 2 (Disclosed vulnerability)
- Fix status: Fix status unknown
- First reported: 2026-06-17
- AI role: Attack on AI
- Products: vLLM
- CVE ids: CVE-2026-54233
- CVSS: 6.5

## Summary

An input validation flaw in vLLM's audio transcription endpoint allows an attacker to cause a denial of service via memory exhaustion using a large decompressed audio payload. A patch is available in newer versions.

## What to do

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

## Latest updates

- 2026-06-22: CVE-2026-54233: vLLM is an inference and serving engine for large language models (LLMs). (https://nvd.nist.gov/vuln/detail/CVE-2026-54233)
- 2026-06-17: CVE-2026-54233: vLLM: OOM Denial of Service via Audio Decompression Bomb (https://github.com/advisories/GHSA-6pr9-rp53-2pmc)

## Sources

- 2026-06-17 GitHub Advisory Database: CVE-2026-54233: vLLM: OOM Denial of Service via Audio Decompression Bomb https://github.com/advisories/GHSA-6pr9-rp53-2pmc
- 2026-06-22 NVD: CVE-2026-54233: vLLM is an inference and serving engine for large language models (LLMs). https://nvd.nist.gov/vuln/detail/CVE-2026-54233

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