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 VideoMediaIO.mergekwargs in vllm/multimodal/media/video.py, where a request-level...

PT-2026-93891

Name of the Vulnerable Software and Affected Versions vLLM versions prior to 0.28.0 Description An issue exists where the engine fails to properly budget GPU memory when a user specifies a GPU decoder at request time. Specifically, request bodies for Chat Completions and Responses can set media i...

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

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.loadbase64 method. When processing video/jpeg data URLs, the method splits the base64 data string on commas to extract individual JPEG fram...

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

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.loadbase64 method. When processing video/jpeg data URLs, the method splits the base64 data string on commas to extract individual JPEG fram...

PYSEC-2026-2302

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.loadbase64 method. When processing video/jpeg data URLs, the method splits the base64 data string on commas to extract individual JPEG fram...