Pwnagotchi is an AI-powered tool that learns from its WiFi environment to maximize the capture of crackable WPA key material. It uses A2C-based reinforcement learning and runs on a Raspberry Pi Zero W. The tool passively sniffs or performs deauthentication and association attacks to collect handshakes stored as PCAP files. Pwnagotchi is highly customizable, with options for changing faces, fonts, and adding plugins for extra functionality. It also features a web UI for remote access.
• web ui for remote access and control
• plugins for added functionality
• customizable faces and fonts
• captures wpa handshakes
• runs on raspberry pi zero w
• a2c-based reinforcement learning
• ai-powered wifi pwning
Because WPA is insecure, yet it’s everywhere. Why not build an AI that lives off of them?
Check out [WiFi Handshakes 101](/intro/#wifi-handshakes-101).
Yes, but does your hardware? _Pwnagotchi can’t pwn what it can’t see._
In AUTO mode, Pwnagotchi will only attempt to deauthenticate a device ______ times max. In AI mode, the AI determines the maximum number of deauthentication attempts.
Check out the [Introduction](/intro/) and the [Training the AI](/usage/#training-the-ai) docs.
Pwnagotchi’s primary functionality is built on top of bettercap. Also, you can access [bettercap’s web UI](/usage/#bettercap-s-web-ui) whenever Pwnagotchi isn’t already using bettercap to pwn.
It’ll still be (almost) fully functional; the only difference between AUTO and AI modes is that when your Pwnagotchi is in AI mode, the AI is tuning the pwnage algorithm according to its reward function, instead of blindly following the basic algorithm for channel hopping, sniffing packets, sending deauthentication and association attacks, and capturing handshakes.
VERY easy! Check out the [Plugins](/plugins/) section. :D
Check out the [Required Hardware](/installation/#required-hardware) (and the recommendations below).
Yes, absolutely! Pwnagotchi’s [web UI](/usage/#the-web-ui) is what you seek.
For the recommended hardware, the [WaveShare v2 2.13inch E-Ink display HAT](https://www.waveshare.com/2.13inch-e-paper-hat.htm), be sure your Pi has male pins attached, then place the hat on top of the board’s pins and gently push the screen down onto the pins. The Pwnagotchi image will have all the files and configurations ready when you first boot the device.
Most users are 3D printing theirs, but be sure to check out the [Cases](/installation/#case) doc for more ideas.
Because they don’t drain the battery and they’re readable in direct sunlight. 🙃
Check out [Connect to your Pwnagotchi](/configuration/#connect-to-your-pwnagotchi).
Check out [Name your new Pwnagotchi](/configuration/#name-your-new-pwnagotchi).
There are currently no job postings for this AI tool.
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