pwnagotchi
WPA cracker
An A2C-based learning system for capturing and cracking WPA keys from WiFi networks using bettercap as the underlying framework.
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
8k stars
239 watching
1k forks
Language: Python
last commit: 3 months ago
Linked from 3 awesome lists
aibettercapdeep-learningdeep-neural-networkdeep-reinforcement-learninghandshakeswpa-psk
enaqx/awesome-pentest
thibmaek/awesome-raspberry-pi
secdev/awesome-scapyRelated projects:
| Repository | Description | Stars |
|---|---|---|
 bettercap/bettercap | A toolkit for reconnaissance and attack on various network types and devices | 16,771 |
 wifiphisher/wifiphisher | A tool for conducting red team Wi-Fi security testing by creating fake wireless networks and exploiting client associations. | 13,314 |
 kootenpv/whereami | Uses WiFi signals and machine learning to predict location within a specific area. | 5,118 |
 opennhp/opennhp | A Zero Trust networking protocol to hide servers and data from attackers by utilizing cryptography at the OSI 5th layer. | 13,513 |
 ikostrikov/pytorch-a2c-ppo-acktr-gail | An open-source implementation of several reinforcement learning algorithms in PyTorch | 3,605 |
 spacehuhntech/esp8266_deauther | A tool to test and deauthenticate devices from wireless networks using an ESP8266 microcontroller | 13,512 |
 rogandawes/p4wnp1_aloa | A flexible platform for testing and exploiting physical systems | 3,775 |
 trekhleb/homemade-machine-learning | Practices implementing popular machine learning algorithms from scratch to gain a deeper understanding of their mathematics | 23,121 |
 yyzpiero/rl4redteam | An agent trained to scan for vulnerabilities and exploit them in a simulated network environment | 22 |
 lightning-ai/pytorch-lightning | A framework for building and training AI models on multiple GPUs or TPUs with minimal code changes. | 28,402 |
 tju-drl-lab/ai-optimizer | A next-generation deep reinforcement learning toolkit with libraries for multiagent, self-supervised, offline, and transfer/reinforcement learning | 4,755 |
 p0cl4bs/wifipumpkin3 | A Python-based framework for conducting man-in-the-middle attacks and rogue access point exploits on wireless networks. | 1,982 |
 thu-ml/tianshou | A high-performance reinforcement learning library with modular interfaces and user-friendly APIs for building deep learning agents. | 7,968 |
 huawei-noah/efficient-ai-backbones | A collection of efficient AI backbone architectures developed by Huawei Noah's Ark Lab. | 4,054 |
 schollz/howmanypeoplearearound | Monitors WiFi signals to estimate the number of people nearby by detecting smartphone presence | 6,919 |