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GSOC 2017 PROJECT

Protocol and adversary identification in Go

When a client is connecting to a honeypot server, it is usually not legitimate traffic. However, as malware is always trying to be stealthy, the...

Contributor
Nikolaos Filippakis
Mentors
Lukas Rist, Hugo Gascon
Organization
The Honeynet ProjectSecurity
Program
GSoC 2017Completed

About this project

Description from the program archive

<p>When a client is connecting to a honeypot server, it is usually not legitimate traffic. However, as malware is always trying to be stealthy, the honeypot should make few assumptions about who it's talking with and how it should respond in order to keep the conversation going. This project would aim at creating a library to instruct a honeypot on how to proceed in such a situation by analyzing the traffic with different ways and coming up with the most likely protocol that could be used. This should help the honeypot gain deeper insight into the current landscape of malware on the internet.</p>

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  1. Conpot improvements

    Yuru ShaoMentored by Daniel Haslinger, Johnny Vestergaard

  2. Automated Malware Relationships Detection Tool

    Donika MirditaMentored by webstergd, Huang3, Zachary Hanif

  3. Glutton Enhancement

    M Bilal ArifMentored by Lukas Rist

  4. Proposal to the Honeynet Project.

    kajojMentored by Daniel Haslinger, Johnny Vestergaard

  5. Mitmweb Improve

    Matthew ShaoMentored by Aldo Cortesi, Maximilian Hils, Clemens Brunner

  6. SNARE/TANNER

    Ravinder NehraMentored by Evgeniia Tokarchuk, Lukas Rist

  7. Holmes Framework to Automate Advanced Analytics

    Christian von PentzMentored by webstergd, Ryan Harris

  8. Building examples services for Holmes processing

    Manohar ReddyMentored by webstergd, Zachary Hanif

  9. Mitmproxy Core

    Ujjwal VermaMentored by Aldo Cortesi, Thomas Kriechbaumer

  10. Long term analysis

    Ricardo van ZutphenMentored by Jurriaan Bremer, Alessandro Tanasi

Data: Google Summer of Code public archive. This project in the official archive