Jupyter Lab Framework Example: Revisiting CMIYC2022
Everything that happens once can never happen again. But everything that happens twice will surely happen a third time. -- Paulo Coelho Introducing the JupyterLab Password Cracking Framework: For the last couple of months, I've been (slowly) working on building out a new backend/framework to be able to manage password cracking sessions using JupyterLab as the frontend/GUI. The current version of this framework is available [here] . This project is under active development (well active for me anyways), and I'd really appreciate feedback and suggestions on how to extend and improve it. My goal is to have an opensource, community driven alternative for Team Hashcat's List Condense (LC) collaboration server ready by CMIYC2024. About The Framework: I view JuypterLabs as a stone soup. It provides a good interface, interactive Python debugger, and a way to save and share analysis results. But it is still up to you to do all of the backend analysis. That became very evident when I