High [CVE-2026-37237] Denial of Service via memory exhaustion from oversized media files
This high-severity Red Hat Linux advisory covers CVE-2026-37237 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 up to and including 0.17.0 allows remote attackers to cause a Denial of Service via memory exhaustion.
The AsyncMediaIO.fetch_audio and AsyncMediaIO.fetch_image functions in multimodal/inputs.py fetch user-supplied media URLs using aiohttp and call r.read() without enforcing a maximum response size, allowing an attacker to exhaust server memory by providing a URL to an arbitrarily large file. A flaw was found in vLLM.
Remote attackers can exploit this vulnerability by providing a URL to an excessively large media file. This oversight allows an attacker to exhaust server memory, leading to a Denial of Service (DoS).
Red Hat severity: Important — CVSS 7.5 (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H). Weakness: CWE-770.
Affected Red Hat products: Red Hat AI Inference Server; Red Hat Enterprise Linux AI (RHEL AI) 3; Red Hat OpenShift AI (RHOAI). Red Hat does not currently list a fixing RHSA for this CVE.
- 0.17.0
Official advisory · high-confidence parse· fetched 1 hour ago·verify at source
Fixed versions
No fixed release is recorded yet. That does not prove no patch exists — confirm against the vendor advisory.
Official advisory · high-confidence parse· fetched 1 hour ago·verify at source
Mitigation
The source record does not include mitigation steps. That is not a statement that no fix exists — read the vendor advisory below for the authoritative guidance.
Official advisory · high-confidence parse· fetched 1 hour ago·verify at source
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