pwnagotchi
An AI-powered WiFi security auditing tool that uses deep reinforcement learning to optimize capture of WPA handshakes.
What is pwnagotchi?
Pwnagotchi is an AI-powered WiFi security auditing tool that uses deep reinforcement learning to optimize the capture of WPA handshakes and other crackable key material. It leverages bettercap to interact with WiFi networks, learning from its environment to improve its effectiveness over time. The system adapts its parameters based on the networks it encounters, making it a dynamic tool for wireless penetration testing.
Security researchers, penetration testers, and WiFi auditing enthusiasts who want an automated, learning-based approach to capturing WPA handshakes for security assessments.
Unlike static WiFi auditing tools, Pwnagotchi continuously learns and adapts to its environment, improving its efficiency over time. Its use of reinforcement learning and ability for multiple units to cooperate makes it uniquely capable for evolving wireless security testing scenarios.
Overview
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
Use Cases
Best For
- Automated capture of WPA handshakes for penetration testing
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