Django Two Factor Auth

Abstract

1. Introduction

Complete Two-Factor Authentication for Django. Built on top of the one-time password framework django-otp_ and Django's built-in authentication framework django.contrib.auth for providing the easiest integration into most Django projects. Inspired by the user experience of Google's Two-Step Authentication, allowing users to authenticate through call, text messages (SMS), by using a token generator app like Google Authenticator or a YubiKey_ hardware token generator (optional).

Test drive this app through the example app_. It demos most features except the Twilio integration. The example also includes django-user-sessions_ for providing Django sessions with a foreign key to the user. Although the package is optional, it improves account security control over django.contrib.sessions.

Compatible with supported Django and Python versions. At the moment of writing that includes 5.2 and 6.0 on Python 3.11 to 3.14. Documentation is available at readthedocs.io_.

2. Objective

Complete Two-Factor Authentication for Django providing the easiest integration into most Django projects.

This project demonstrates how Python, Django can be applied to a real-world Cybersecurity & Ethical Hacking problem.

4. Technology Stack

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

• Python 3.8 or later
• pip / virtualenv for dependencies
• VS Code, PyCharm or Jupyter Notebook
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/jazzband/django-two-factor-auth.git
cd django-two-factor-auth

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

• Add logging and alert notifications (email / Telegram)
• Write a threat model document for the tool
• Package it with Docker for safe lab testing

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

1. Which threat or attack does this project defend against?
2. What detection or protection technique is used and what are its limits?
3. How are false positives and false negatives handled?
4. Which cryptographic algorithms or security standards are involved?
5. What legal and ethical rules apply when testing a tool like this?

9. Source Code & License

This project is developed by jazzband and published on GitHub under the MIT License. Please follow the license terms and credit the original author when you use or modify this code.