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The "Argus Extraction System" is a mobile forensics project developed during the CyberX Hackathon. It is designed to extract valuable information from mobile devices, providing crucial assistance in investigations and enhancing overall security measures.

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cyberx

Project Artemis Files

Installation Guhan Side

sudo apt install python3-pip nmcli iw curl nmap

Installation Ashwanth Side

sudo apt install mysql-server
pip3 install -r requirements.txt

Installation Aaditya Side

prereqsite - node.js -v19.0.0
npm install
nodemon app.js

Things to do

Extraction SubSystem

  • Detect if the android device is in adb mode
  • Create a local secure hotspot on ubuntu device
  • Create apk that will allow us to connect to this hotspot.
  • Send keystrokes via adb to the android device to grant permission and connect to the hotspot using a static IP.
  • Switch the device over to wireless debugging
  • Check if wireless debugging is actually working
  • Generate our payload apk in metasploit with the device IP and port.
  • Send the payload apk to the device and autogrant permissions through adb
  • Start the reverse shell into the device
  • Hide the exploit apk from the launcher
  • Get user contacts details
  • Get user call logs
  • Get user SMS details
  • Get user device info
  • Get list of installed apps
  • Start procedure of getting user files and images

Extra Features

  • Extract WhatsApp messages
  • Extract Telegram messages

Ashwanth Status

  • Django API web app initialize
  • List out all API urls
  • Define function for "start listening" button
  • Filterting data based on url parameters
  • retrieve photo & video metadata
  • retrieve audio metadata``
  • facial recognition on images

Extra Ideas

  • image analysis on weapons and drugs

About

The "Argus Extraction System" is a mobile forensics project developed during the CyberX Hackathon. It is designed to extract valuable information from mobile devices, providing crucial assistance in investigations and enhancing overall security measures.

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  • Python 60.5%
  • EJS 17.6%
  • CSS 10.7%
  • JavaScript 7.2%
  • Shell 3.8%
  • HTML 0.2%