From 5b1bf6dd4afe62354e8499048b09e4d8a88288a4 Mon Sep 17 00:00:00 2001 From: waxwing Date: Sun, 6 Oct 2019 15:23:37 -0400 Subject: [PATCH] added UI anatomy diagram --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 4fb4153a..02b95060 100644 --- a/README.md +++ b/README.md @@ -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.