GHSA-wcwg-c5fc-9vrc
vLLM is vulnerable to an Out-of-Memory (OOM) Denial of Service (DoS) attack due to unbounded frame count processing in the `VideoMediaIO.load_base64()` method
En bref
- Publiée
- Mise à jour
- CVE
- CVE-2026-5497
- Alias
- PYSEC-2026-2302
- CVSS_V3
- CVSS:3.0/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.
Paquets affectés
| Paquet | Versions |
|---|---|
| PyPI · vllm | introduced 0.8.0, fixed 0.19.0 |
Références
- https://nvd.nist.gov/vuln/detail/CVE-2026-5497 ADVISORY
- https://github.com/vllm-project/vllm/commit/58ee61422169ce17e08248f8efa1e9df434fe395 WEB
- https://access.redhat.com/errata/RHSA-2026:33524 WEB
- https://access.redhat.com/errata/RHSA-2026:33531 WEB
- https://access.redhat.com/security/cve/CVE-2026-5497 WEB
- https://bugzilla.redhat.com/show_bug.cgi?id=2487813 WEB
- https://github.com/pypa/advisory-database/tree/main/vulns/vllm/PYSEC-2026-2302.yaml WEB
- https://github.com/vllm-project/vllm PACKAGE
- https://huntr.com/bounties/7bd92629-b396-4449-8f88-6c0092530eb4 WEB
- https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-5497.json WEB
Sources
| Source | Licence |
|---|---|
| OSV.dev | CC-BY 4.0 — GitHub Advisory Database |