FakeNet-NG: Implementing an Interactive Graphical Summary of NBIs
- Mentors
- Tina Johnson, Michael Bailey, Blas Kojusner, Elliot Chernofsky
- Organization
- FLARE
- Technologies
- python, javascript, html5, css, Virtual Machines, Vis.js
- Topics
- reverse engineering, cybersecurity, malware analysis
FakeNet-NG is a tool that is used to simulate the internet which is useful in malware analysis. Currently, FakeNet-NG displays its output by either printing it to the console or writing it to a log file. However, malware with a lot of activity can generate long
FakeNet logs. To save analysts from having to read or grep long FakeNet logs,
this project aims in providing a user-friendly interface for viewing the output of
FakeNet-NG in a more organized and detailed manner. It would also be supported with
features like search, filter and copy which would further help the user in
generating effective malware reports.