About this project
Description from the program archive
This project proposes a secure, scalable push-based API designed to transform GreedyBear into an open data sink for the global honeypot community. The architecture focuses on high-performance ingestion by capturing raw telemetry from external sensors and offloading tasks directly to Django-Q for asynchronous processing. By utilizing Django-Q’s native task queuing and buffering capabilities, the system ensures non-blocking event ingestion and high responsiveness. This design emphasizes architectural efficiency and full integration with the existing IOC extraction, merging, and scoring pipelines, allowing for robust normalization and data consistency without the need for redundant storage layers.