Pwnagotchi

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About
Pwnagotchi uses Deep Reinforcement Learning (A2C) to optimize the capture of crackable WPA key material. Running on a Raspberry Pi Zero W and powered by bettercap, it captures full and half WPA handshakes, as well as PMKIDs, through passive sniffing or by performing deauthentication and association attacks. The AI continuously tunes its parameters to improve at "pwning WiFi things" in real-world environments. The project aims to educate hackers about reinforcement learning and WiFi networking, providing a reason to explore new environments. It's also a nostalgic nod to Tamagotchi, offering emotional attachment to a handheld automata that specializes in WiFi exploitation.
Platform
Task
Features
• supports multiple languages for status display
• provides a web ui for monitoring without a display
• customizable via plugins and configuration
• runs on raspberry pi zero w hardware
• built on bettercap for robust network interaction
• performs passive sniffing and deauthentication attacks
• maximizes wpa key material capture (handshakes, pmkids)
• deep reinforcement learning for wifi pwning
FAQs
Why does Pwnagotchi eat handshakes?
Because WPA is insecure, yet it’s everywhere. Why not build an AI that lives off of them?
Does Pwnagotchi support both 2.4 GHz and 5.0 GHz?
Yes, but does your hardware? Pwnagotchi can’t pwn what it can’t see.
Just how politely does Pwnagotchi deauth?
In AUTO mode, Pwnagotchi will only attempt to deauthenticate a device ____ times max. In AI mode, the AI determines the maximum number of deauthentication attempts.
How is Pwnagotchi using bettercap?
Pwnagotchi’s primary functionality is built on top of bettercap. Also, you can access bettercap’s web UI whenever Pwnagotchi isn’t already using bettercap to pwn.
What happens if I run a Pwnagotchi without the AI enabled?
It’ll still be (almost) fully functional; the only difference is that the AI isn't tuning the pwnage algorithm according to its reward function.
Is there any way to see my Pwnagotchi’s face even if I don’t have a display?
Yes, absolutely! Pwnagotchi’s web UI is what you seek.
How do I attach the screen to the Raspberry Pi?
For the recommended hardware, place the HAT on top of the Pi’s pins and gently push. The Pwnagotchi image will have all configurations ready on first boot.
Why does everybody use e-ink screens for their Pwnagotchis?
Because they don’t drain the battery and they’re readable in direct sunlight. 🙃
I want to change the faces. What do I hack?
The faces can be customized by overriding the `ui.faces` section in your `/etc/pwnagotchi/config.toml` file.
I want my Pwnagotchi to speak a different language. Can it?
Yes! Change `main.lang` to a supported language. A full list is in the docs. You can also contribute new languages or improve translations.
How do I whitelist my home network so Pwnagotchi stops pwning me?
In `/etc/pwnagotchi/config.toml`, add `main.whitelist = [...]` with SSIDs/BSSIDs. This prevents deauth, but handshakes may still be captured.
What is MANU mode? What is AUTO mode?
MANU mode is for data transfer and web UI access, showing session stats. AUTO mode is default on power, performing attacks and sniffing handshakes without AI influence.
Where does Pwnagotchi store all the handshakes it’s eaten?
They are kept inside of `/root/handshakes/` on your Pwnagotchi.
What happens when my Pwnagotchi meets another Pwnagotchi?
Basic information like name, signal, pwned networks, and channel are exchanged. This interaction influences its own pwnagotchi, making them work together to pwn more networks.
Uh. So. What do I do with all these handshakes my Pwnagotchi has been eating?
Only do what you are legally allowed to do or have permission for. Check your country's regulations on unauthorized data collection.
Pricing Plans
Free
Free Plan• Deep Reinforcement Learning for WiFi optimization
• Captures WPA handshakes (full, half, PMKID)
• Passive sniffing and deauthentication/association attacks
• Runs on Raspberry Pi Zero W
• Open source (GPL3)
Job Opportunities
There are currently no job postings for this AI tool.
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