CVE-2026-5497
vllm-project vllm-project/vllm, Red Hat AI Inference Server, Red Hat Enterprise Linux AI (RHEL AI) 3 취약점
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...
- 대응 우선순위
- 점검
- CVSS
- 7.5
- EPSS
- 0.54% 백분위 42.4% · 2026.07.28 기준
- CISA KEV
- 미등록
- 조치 기한
- -
- 공개일
- 2026.06.11