Habu is a Python-based network hacking toolkit designed for educational purposes and learning network security concepts. The toolkit implements various network attack and reconnaissance techniques including: - ARP poisoning and network traffic sniffing capabilities - DHCP discovery and starvation attacks - Subdomain identification and enumeration - SSL/TLS certificate cloning functionality - TCP traffic analysis including sequence number and flag analysis - Username verification across social media platforms - Web technology stack identification and fingerprinting The tool is developed as an educational resource to demonstrate network security concepts and attack methodologies. It requires Python 3 and can be installed directly from the GitHub repository using pip. Habu provides practical implementations of common network security testing techniques in a single toolkit, making it suitable for security research, penetration testing training, and understanding network attack vectors.
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