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- Pwnagotchi: Deep Reinforcement Learning for WiFi pwning!
Pwnagotchi is an A2C -based “AI” powered by bettercap and running on a Raspberry Pi Zero W that learns from its surrounding WiFi environment in order to maximize the crackable WPA key material it captures (either through passive sniffing or by performing deauthentication and association attacks)
- Pwnagotchi - Deep Reinforcement Learning instrumenting bettercap for . . .
@ohaithear ’s 10 Pwnagotchi Cases is a collection of cases for all popular Pwnagotchi configurations: Waveshare and Inky screens, slimagotchi builds, PiSugar external battery, and an optional carabiner loop
- Pwnagotchi - Deep Reinforcement Learning instrumenting bettercap for . . .
Pwnagotchi is an A2C -based “AI” powered by bettercap that learns from its surrounding WiFi environment in order to maximize the crackable WPA key material it captures (either through passive sniffing or by performing deauthentication and association attacks)
- Pwnagotchi - Deep Reinforcement Learning instrumenting bettercap for . . .
The default authentication credentials are pwnagotchi:pwnagotchi, if you decide to change them in usr local share bettercap caplets pwnagotchi-* cap, you’ll also need to update the configuration in etc pwnagotchi config toml to use the new credentials
- Pwnagotchi - Deep Reinforcement Learning instrumenting bettercap for . . .
If you want to fix these problems, the first step should be to start pwnagotchi with --debug and check the log file ( var log pwnagotchi log) for related debug messages
- Pwnagotchi - Deep Reinforcement Learning instrumenting bettercap for . . .
Pwnagotchi has a simple plugin system that you can use to customize your unit and its behavior You can place your plugins anywhere as Python files, and then edit the config toml file (main custom_plugins value) to point to their containing folder
- Pwnagotchi - Deep Reinforcement Learning instrumenting bettercap for . . .
As part of the software components that run on every Pwnagotchi, the pwngrid binary runs in background in peer mode and exposes an API on http: 127 0 0 1:8666 that is used by the other components for nearby units advertisement and detection, but that can also be used easier access the grid API through the unit itself and therefore without any
- Pwnagotchi - Deep Reinforcement Learning instrumenting bettercap for . . .
This project has two main groups of REST API depending if you want to interact with the grid or just your unit The first group, the grid API, is that set of API that will allow you to communicate with this server for tasks such as checking your PwnMail, having a list of registered units, reporting a new access point, and so on The second instead, the local API, is available locally on each
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