VULNERABILITY INTELLIGENCE
CVE-2026-5497
CVSS score7.5 HIGH
EPSS probability0.54%
CISA KEVNot currently listed
Published2026-06-11
Last modified2026-10-26
CVSS vectorCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Description
vLLM versions 0.8.0 and later are vulnerable to an Out-of-Memory (OOM) Denial of Service (DoS) attack due to unbounded frame count processing in the `VideoMediaIO.load_base64()` method. When processing `video/jpeg` data URLs, the method splits the base64 data string on commas to extract individual JPEG frames without enforcing a frame count limit. An attacker can exploit this by crafting a single API request containing thousands of comma-separated base64-encoded JPEG frames in a data URL, causing the server to decode all frames into memory and crash due to excessive memory consumption. This vulnerability is reachable via the OpenAI-compatible chat completions API and does not require authentication.
Weakness classification
- security@huntr.dev: CWE-400
- 0b0ca135-0b70-47e7-9f44-1890c2a1c46c: CWE-770
Primary references
- security@huntr.dev — Patch
- security@huntr.dev — Exploit, Third Party Advisory
- 0b0ca135-0b70-47e7-9f44-1890c2a1c46c
- 0b0ca135-0b70-47e7-9f44-1890c2a1c46c
- 134c704f-9b21-4f2e-91b3-4a467353bcc0 — Exploit, Third Party Advisory
- 0b0ca135-0b70-47e7-9f44-1890c2a1c46c