Anubis

Subdomain enumeration tool

Cybersecurity & Ethical HackingPythonMIT

Abstract

Anubis is an open-source Cybersecurity & Ethical Hacking project. Subdomain enumeration tool. Anubis is a subdomain enumeration and information gathering tool. Anubis collates data from a variety of sources, including HackerTarget, x509 certs, VirusTotal, Google, Pkey, Shodan, Spyse, and NetCraft. It is built using Python. The complete source code is publicly available on GitHub under the MIT License, making it a useful reference for students building a Cybersecurity & Ethical Hacking mini project or final-year project.

1. Introduction

Anubis is a subdomain enumeration and information gathering tool. Anubis collates data from a variety of sources, including HackerTarget, x509 certs, VirusTotal, Google, Pkey, Shodan, Spyse, and NetCraft. Anubis also has a sister project, AnubisDB, which serves as a centralized repository of subdomains.

sudo apt-get install python3-pip python3-dev libssl-dev libffi-dev

2. Objective

Subdomain enumeration tool

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

4. Technology Stack

Python

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/jonluca/anubis.git
cd anubis
git clone https://github.com/jonluca/Anubis.git
cd Anubis
pip3 install  -r requirements.txt
pip3 install .

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 jonluca 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.

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