Katti is in the development phase. We are continuously working on improving Katti and adding new features. Therefore we will release new versions in regular intervals.

The development of Katti started as a pure crawling framework. In the meantime, Katti not only offers the possibility to automatically load websites and store the data, but also provides the tools to analyze the obtained data. The goal is to develop a scalable platform that allows an easy automated analysis of websites and their infrastructure.

• docker and the docker compose plugin
• Python >=3.10 (tested on python==3.10)

1. Clone this repo to ~/katti
2. Optionally: Create and activate a virtual environment
   • cd katti
   • pip install virtualenv
   • virtualenv venv
   • source venv/bin/activate
3. Set $PYTHONPATH
   • export PYTHONPATH=~/katti
4. Install Katti and its dependencies
   • pip install .
5. Start backbone services (Redis, MongoDB, RabbitMQ) with docker compose
   • docker compose up -d
6. Execute the Setup Script
   • python katti/SetupKatti
7. Start the celery workers
   • cd katti/CeleryApps
   • celery -A celery -A KattiApp worker -Q scanning,default,fast_lane --concurrency 6 --loglevel debug

You’re done! Execute the test script ~/katti/test.py to see if it works.

See ~/katti/katti_config

• database_configs.yml, celery.yml: Configure the way Katti talks to the backbone services
• env.yml: Manage API credentials
• scanner.yml: Configure default scanners

  You can change the default config paths in ~/katti/katti/KattiUtils/Configs/Paths.py