Pwnagotchi - AI powered wifi attack tool

Overview

A custom-configured Pwnagotchi designed to capture WPA/WPA2 handshakes for offline cracking.

Hardware Used

  • Raspberry Pi Zero W
  • Waveshare eInk 2.7" Display
  • 8GB Micro SD card
  • Micro SD card to USB adapter

Software Used

  • Bettercap (Wi-Fi attack framework)
  • Python (Custom scripts and display fixes)
  • BalenaEtcher (for flashing Pwnagotchi image)
  • Pwnagotchi .img file

Features

  • AI-powered Wi-Fi attack tool for automated handshake capturing
  • Offline WPA/WPA2 password cracking
  • Stats displayed on eInk screen

Result

Efficient, low-power device for passive wireless monitoring and handshake capture.

My Thoughts

I really enjoyed this project. I had some issues because I got the Waveshare V3 display instead of the V1/V2, but I fixed this by modifying the config.toml file.

This project shows how hacking has become more automated — instead of manually running aircrack or airodump, you can walk around with a Pwnagotchi capturing WPA/WPA2 handshakes for later cracking.