Pwnagotchi

Pwnagotchi is not a practical tool for enterprise WiFi security—it's a hobbyist's delight. We'd reach for this when we want to learn reinforcement learning in a tangible, outdoor setting, or when we need to capture handshakes for personal penetration testing labs. Its A2C-based AI optimizes deauth timing and channel hopping based on real-world reward signals (handshake captures), which is genuinely novel. But be warned: it requires a Raspberry Pi Zero W, a compatible WiFi card (RTL8812AU recommended), and patience. The setup process is not for the faint of tech heart. Compared to using a simple scripted deauth tool, Pwnagotchi adds a layer of unpredictability and fun—but it's slower than a targeted attack. Where it bites: the hardware dependency, reliance on bettercap, and the fact that it's not a replacement for a professional WiFi auditing suite like Aircrack-ng or Wifite. It's best kept as a learning project and conversation starter, not a daily driver for serious pentesting.