Pwnagotchi is an "AI" that learns from the WiFi environment and instruments bettercap in order to maximize the WPA key material (any form of handshake that is crackable, 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) captured.
Specifically, it's using an [LSTM with MLP feature extractor](https://stable-baselines.readthedocs.io/en/master/modules/policies.html#stable_baselines.common.policies.MlpLstmPolicy) as its policy network for the [A2C agent](https://stable-baselines.readthedocs.io/en/master/modules/a2c.html). Here is [a very good intro](https://hackernoon.com/intuitive-rl-intro-to-advantage-actor-critic-a2c-4ff545978752) on the subject.
Instead of 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), pwnagotchi will tune over time [its own parameters](https://github.com/evilsocket/pwnagotchi/blob/master/sdcard/rootfs/root/pwnagotchi/config.yml#L54), effectively learning to get better at pwning WiFi things. **Keep in mind:** unlike the usual RL simulations, pwnagotchi learns over time, do not expect it to perform amazingly well at the beginning, as it'll be exploring several combinations of parameters ... but listen to it when it's bored, bring it with you and have it observe new networks and capture new handshakes and you'll see :)
**THIS IS STILL ALPHA STAGE SOFTWARE, IF YOU DECIDE TO TRY TO USE IT, YOU ARE ON YOUR OWN, NO SUPPORT WILL BE PROVIDED, NEITHER FOR INSTALLATION OR FOR BUGS**
- [Waveshare eInk Display](https://www.waveshare.com/2.13inch-e-paper-hat.htm) (optional if you connect to usb0 and point your browser to the web ui, see config.yml)
- A decent power bank (with 1500 mAh you get ~2 hours with AI on)
### Software
- Raspbian + nexmon patches for monitor mode, or any Linux with a monitor mode enabled interface (if you tune config.yml).
