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...If more features are needed, or if you find a bug, don't hesitate to make an issue here on GitHub, or write on our Discord channel. If you need more details, or if you need to compile from source, check out the detailed installation instructions. We support: macOS, RaspberryPi (Raspbian), Linux (Ubuntu), and Windows 10.
Deep Reinforcement learning instrumenting bettercap for WiFi pwning
Pwnagotchi is an A2C-based “AI” powered by bettercap and running on a RaspberryPi Zero W that learns from its surrounding WiFi environment in order to maximize the crackable WPA key material it captures (either through passive sniffing or by performing deauthentication and association attacks). This material is collected on disk as PCAP files containing any form of handshake supported by hashcat, including full and half WPA handshakes as well as PMKIDs.