Our GSoC student Krishna Awasthi spent three months working under the supervision of Tim Leonhard on GreedyBear and a new companion project, tpot-payload-server, building a complete pipeline to capture, quarantine, and share the malware payload files that T-Pot honeypots collect from live attackers.

Read on for an overview of the project, the technical decisions behind it, and what shipped.

Student: Krishna Awasthi (opbot-xd)

Mentors: Tim Leonhard

Organization: The Honeynet Project

Project: GreedyBear · tpot-payload-server

I spent this summer as a GSoC contributor on GreedyBear under the mentorship of Tim Leonhard, refactoring its hardcoded dashboard into a configuration-driven widget system with a drag-and-drop admin editor and backend persistence.

Mentor: Tim Leonhard
Organization: The Honeynet Project
Project: GreedyBear: Dashboard Modularization

GSoC Proposal

The goal of my project was to modularize the GreedyBear dashboard.

Before this project, every widget - its type, data source, position, and column span was hardcoded directly in Dashboard.jsx. Adding a new chart meant editing the layout file by hand, and there was no way for an admin to customize the dashboard without touching source code and redeploying.

Our GSoC student Dorna Raj Gyawali spent three months working under the supervision of Tim Leonhard on the GreedyBear project, focusing on introducing an Event Collector API to make it easier for external honeypots and sensors to submit IOC events to GreedyBear.

Read on for an overview of their achievements and how they successfully contributed towards GreedyBear and some considerations for the future.

Student: Dorna Raj Gyawali (drona-gyawali)

Mentors: Tim Leonhard

This year has been a Christmas more tough than usual for a lot of people. The Covid pandemic is rising again all over the world, the security analysts are facing one of the worst ever found software vulnerabilities (referring to Log4j CVE-2021-44228), and so on.

With the goal to help all the community during these hard times, recently we have been working to a new project, called GreedyBear, that you can find on Github.