---
cve: "CVE-2026-5497"
severity: "HIGH"
cvss: 7.5
epss: "54%"
vendor: "vllm-project"
kev: false
exploited: false
published: "2026-06-11 10:16:21"
tags: [cve, security, high]
source: tsecurity.de CVE-Dossier
exported: "2026-09-07T09:47:42+02:00"
---

# CVE-2026-5497

> 7.5 HIGH · 🧪 PoC

## Beschreibung

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.

## CVSS-Vektor

```
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
```

| Metrik | Wert | Bewertung |
|---|---|---|
| AV Angriffsvektor | Netzwerk | bad |
| AC Komplexität | Gering | bad |
| PR Privilegien | Keine | bad |
| UI Interaktion | Keine | bad |
| S Scope | Unverändert | good |
| C Vertraulichkeit | Keine | good |
| I Integrität | Keine | good |
| A Verfügbarkeit | Hoch | bad |

## Patch verfügbar (OSV)

- 2a69949bdadf0e8942b7a1619b229cb475beef20 (Commit)
- 58ee61422169ce17e08248f8efa1e9df434fe395 (Commit)

## Referenzen

- <https://huntr.com/bounties/7bd92629-b396-4449-8f88-6c0092530eb4>
- <https://github.com/vllm-project/vllm/commit/58ee61422169ce17e08248f8efa1e9df434fe395>
- <https://access.redhat.com/security/cve/CVE-2026-5497>
- <https://bugzilla.redhat.com/show_bug.cgi?id=2487813>
- <https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-5497.json>

---
_Exportiert aus dem [tsecurity.de CVE-Dossier](https://tsecurity.de/cve?cve=CVE-2026-5497) · Datenquellen: EUVD (ENISA), NVD, OSV, CISA KEV, FIRST EPSS, Exploit-DB, BSI BITS_