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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 load_base64 function when processing video/jpeg base64 data. An attacker can exhaust system memory and cause a server crash by submitting a request containing a large number of comma-separated base64-encoded JPEG frames.