Allocation of Resources Without Limits or Throttling in vLLM - CVE-2026-126399
Published: November 9, 2026 / Updated: November 13, 2026
Vulnerability details
The vulnerability allows a low-privileged remote attacker to bypass frame limits and increase memory consumption in vLLM deployments serving video-capable multimodal models.
The vulnerability exists due to request-level media_io_kwargs.video.num_frames overriding the server's frame ceiling during JPEG video decoding. A low-privileged remote attacker can submit a video request with this value set to -1 to decode every supplied frame, using a valid inference API key when authentication is configured.