Breached Data Cleaner

BD cleaner is build as a internship project in order to create a clean database of breached data found in web. You must provide the breached data.

• Dashboard of analyzed data
• Possibility to make queries from web app
• Backend magic is done by using regex in Python

ToDo

• improve database creation by optimizing occupied space and timing
• improve the part of frontend that interfaces with the database
• test the code on other platforms

Text Files size 753 MB transformed to SQLite3 Database size 574,364 MB

2 tables one for domain one for usernames
Measure-Command { pipenv run start -s 200000000 }
TotalMinutes      : 5,38570450333333

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

You need python version > 3.7

 python --version

Installing

Additional details are coming soon.

Additional details are coming soon.

Give the example

Additional details are coming soon.

until finished

Additional details are coming soon.

Running the tests

Additional details are coming soon.

Break down into end to end tests

Additional details are coming soon.

Give an example

And coding style tests

Additional details are coming soon.

Give an example

Deployment

This project can be deployed on Cloud too. More Additional details are coming soon.

Built With

• Django - The web framework used
• Python - Backend Management
• SQLite3 - Database Management

Contributing

Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.

Versioning

We use SemVer for versioning. For the versions available, see the tags on this repository.

Author

• Daniele Perera - Mr. Px0r

See also the list of contributors who participated in this project.

License

This project is licensed under the MIT License - see the LICENSE.md file for details