CVE-2026-5497

A flaw was found in vLLM. An attacker can exploit this vulnerability by sending a specially crafted API request containing an excessive number of base64-encoded JPEG frames within a data URL. This unbounded processing of frames in the VideoMediaIO.loadbase64 method leads to an Out-of-Memory OOM...

Allocation of Resources Without Limits or Throttling

Overview vllm is an A high-throughput and memory-efficient inference and serving engine for LLMs Affected versions of this package are vulnerable to Allocation of Resources Without Limits or Throttling via the VideoMediaIO.loadbase64 function. An attacker can cause the server to exhaust memory...

CVE-2026-34755 vLLM Affected by Denial of Service via Unbounded Frame Count in video/jpeg Base64 Processing

vLLM is an inference and serving engine for large language models LLMs. From 0.7.0 to before 0.19.0, the VideoMediaIO.loadbase64 method at vllm/multimodal/media/video.py splits video/jpeg data URLs by comma to extract individual JPEG frames, but does not enforce a frame count limit. The numframes...

Allocation of Resources Without Limits or Throttling

Overview vllm is an A high-throughput and memory-efficient inference and serving engine for LLMs Affected versions of this package are vulnerable to Allocation of Resources Without Limits or Throttling due to the lack of a frame count limit in the loadbase64 function when processing video/jpeg...