|Current Version||Status||Release Date||Download / Install||Documentation||Cheat Sheets||Sample Notebooks|
|0.8.1||Alpha/Beta||24/04/2023||Download / Install||Documentation|| Cheat Sheet|| Sample Notebooks
Chrysalis is a framework that provides an easy way to ingest and analyze forensic tool output (plaso, kape, kansa, volatility, etc.) in a Jupyter/pandas Data Science environment, allowing the DFIR analyst to carry out both traditional analysis (similar to that you would do with Excel, bash cli, etc.) and Data Science / Machine Learning analysis.
CHRYSALIS is designed to be easy to use by standard Forensic Analysts (no python knowledge required, friendly interface), as well as advanced analysts who want to increase performance and analysis flexibility by means of the use of Data Science and Machine Learning techniques.
If you want to know more, read this blog post: What is the DS4N6 Framework (CHRYSALIS)?
If you want to try CHRYSALIS quickly (in minutes) and easily in Binder (a free Cloud-based Jupyter notebook environment; no registration or account required), this blog post.
For further information visit the Documentation section.