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added UI anatomy diagram

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waxwing
2019-10-06 15:23:37 -04:00
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README.md
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@ -14,7 +14,7 @@
[Pwnagotchi](https://twitter.com/pwnagotchi) 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 in order to maximize the crackable WPA key material it captures (either passively, or by performing deauthentication 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.
![handshake](https://i.imgur.com/pdA4vCZ.png)
![ui](https://i.imgur.com/c7xh4hN.png)
Instead of merely playing [Super Mario or Atari games](https://becominghuman.ai/getting-mario-back-into-the-gym-setting-up-super-mario-bros-in-openais-gym-8e39a96c1e41?gi=c4b66c3d5ced) like most reinforcement learning based "AI" *(yawn)*, Pwnagotchi tunes [its own parameters](https://github.com/evilsocket/pwnagotchi/blob/master/sdcard/rootfs/root/pwnagotchi/config.yml#L54) over time to **get better at pwning WiFi things** in the environments you expose it to.