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# Pwnagotchi # Pwnagotchi
<p align="center"> **This fork of Pwnagotchi has been overhauled to work solely on 64-bit Raspberry Pi's, it uses PyTorch as it's AI.**
<a href="https://github.com/evilsocket/pwnagotchi/releases/latest"><img alt="Release" src="https://img.shields.io/github/release/evilsocket/pwnagotchi.svg?style=flat-square"></a>
<a href="https://github.com/evilsocket/pwnagotchi/blob/master/LICENSE.md"><img alt="Software License" src="https://img.shields.io/badge/license-GPL3-brightgreen.svg?style=flat-square"></a>
<a href="https://github.com/evilsocket/pwnagotchi/graphs/contributors"><img alt="Contributors" src="https://img.shields.io/github/contributors/evilsocket/pwnagotchi"/></a>
<a href="https://travis-ci.org/evilsocket/pwnagotchi"><img alt="Travis" src="https://img.shields.io/travis/evilsocket/pwnagotchi/master.svg?style=flat-square"></a>
<a href="https://invite.pwnagotchi.ai/"><img alt="Slack" src="https://invite.pwnagotchi.ai/badge.svg"></a>
<a href="https://community.pwnagotchi.ai/"><img alt="Forum" src="https://img.shields.io/discourse/posts?server=https%3A%2F%2Fcommunity.pwnagotchi.ai%2F&style=flat-square"></a>
<a href="https://twitter.com/intent/follow?screen_name=pwnagotchi"><img src="https://img.shields.io/twitter/follow/pwnagotchi?style=social&logo=twitter" alt="follow on Twitter"></a>
</p>
[Pwnagotchi](https://pwnagotchi.ai/) is an [A2C](https://hackernoon.com/intuitive-rl-intro-to-advantage-actor-critic-a2c-4ff545978752)-based "AI" leveraging [bettercap](https://www.bettercap.org/) that learns from its surrounding WiFi environment to maximize the crackable WPA key material it captures (either passively, or by performing authentication and association attacks). This material is collected as PCAP files containing any form of handshake supported by [hashcat](https://hashcat.net/hashcat/), including [PMKIDs](https://www.evilsocket.net/2019/02/13/Pwning-WiFi-networks-with-bettercap-and-the-PMKID-client-less-attack/), [Pwnagotchi](https://pwnagotchi.ai/) is an [A2C](https://hackernoon.com/intuitive-rl-intro-to-advantage-actor-critic-a2c-4ff545978752)-based "AI" leveraging [bettercap](https://www.bettercap.org/) that learns from its surrounding WiFi environment to maximize the crackable WPA key material it captures (either passively, or by performing authentication and association attacks). This material is collected as PCAP files containing any form of handshake supported by [hashcat](https://hashcat.net/hashcat/), including [PMKIDs](https://www.evilsocket.net/2019/02/13/Pwning-WiFi-networks-with-bettercap-and-the-PMKID-client-less-attack/),
full and half WPA handshakes. full and half WPA handshakes.