Shypd.aiThe largest open index of AI toolsPwnagotchi is an open-source AI tool that leverages deep reinforcement learning for WiFi penetration testing. It learns from its environment to maximize the capture of crackable WPA key material.
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Pwnagotchi is an A2C-based "AI" that utilizes bettercap to learn from its surrounding WiFi environment, aiming to maximize the capture of crackable WPA key material. This material is collected as PCAP files, supporting various handshake types compatible with hashcat, including PMKIDs and full/half WPA handshakes. Unlike typical reinforcement learning simulations, Pwnagotchi learns over time, with performance improving across epochs as it explores and tunes parameters for optimal WiFi pwning in different environments. It uses an LSTM with MLP feature extractor as its policy network for the A2C agent. Multiple Pwnagotchi units can also cooperate by communicating and dividing channels for enhanced pwnage.
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