Medium [CVE-2026-54233] Denial of Service via excessive memory allocation in audio transcription
This medium-severity Red Hat Linux advisory covers CVE-2026-54233 affecting Red Hat AI Inference Server, Red Hat Enterprise Linux AI (RHEL AI) 3, Red Hat OpenShift AI (RHOAI).
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Summary
vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, vLLM's /v1/audio/transcriptions endpoint limits compressed upload size but not decoded PCM output.
A 25MB OPUS file expands to ~14.9GB of float32 PCM at decode time. This vulnerability is fixed in 0.23.1rc0.
A remote attacker could exploit a vulnerability in the `/v1/audio/transcriptions` endpoint. By uploading a specially crafted compressed audio file, such as an OPUS file, the attacker could cause the system to allocate an excessive amount of memory during the decoding process.
This uncontrolled memory allocation can lead to a Denial of Service (DoS) condition, making the service unavailable to legitimate users. Red Hat rates this issue as having Moderate impact.
A crafted audio upload to the vLLM /v1/audio/transcriptions endpoint can cause excessive decoded PCM allocation and denial of service. Affected components are vLLM serving images in Red Hat AI Inference Server, Red Hat OpenShift AI, and Red Hat Enterprise Linux AI bootc that ship vLLM prior to 0.23.1.
KServe sidecars are not affected. Red Hat severity: Moderate — CVSS 6.5 (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H).
Weakness: CWE-770. Red Hat lists Red Hat OpenShift AI (RHOAI) as not affected.
Red Hat does not currently list a fixing RHSA for this CVE.
- < 0.23.1rc0
Official advisory · high-confidence parse· fetched 15 days ago·verify at source
Mitigation checklist
- Limit access to audio transcription endpoints. Enforce authentication and request rate limits at the route or gateway. Set pod memory limits and restart policies. Upgrade to vLLM >= 0.23.1 when available from Red Hat.
Official advisory · high-confidence parse· fetched 15 days ago·verify at source
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