rgbkrk/rachel repository overview

⁠Zap Rachel

Entry for the Zap Rachel contest at DEF CON 22.

⁠Prerequisites

You'll need some of the scientific python stack for this, particularly:

• numpy
• pandas
• scikit-learn
• scipy
• matplotlib

Assuming you have the binary dependencies (e.g. apt-get build-dep python-scipy python-numpy python-matplotlib), just

pip install -r requirements.txt

⁠Analysis

Our IPython notebook is available on the Notebook Viewer⁠.

⁠Run through the original data set

python rachel.py

⁠Analysis Machine

To bring up an environment with the notebooks and python files in one IPython notebook package, run this in Docker.

docker run -it -e "PASSWORD=pickyourownpasswordnotyournose" -d -p 8888:8888 rgbkrk/rachel 

Then browse to https://127.0.0.1:8888⁠.