En resumen
- CVE-2026-5497 es una vulnerabilidad ALTO (CVSS 7.5) que afecta a vllm, vllm (vllm).
- Probabilidad de explotación en los próximos 30 días (EPSS): 0.54%, mayor que el 45.2% de las vulnerabilidades.
- Solución: actualizar a 0.19.0 o posterior.
| Package | Affected versions | Patched versions |
|---|
| vllm PyPI | ≥ 0.8.0, < 0.19.0
| 0.19.0
|
| vllm | ≥ 0.8.0, < 0.19.0
| 0.19.0
|
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.
NVD 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.
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