CamPish is a Flask-based web application designed to capture images and gather IP-based geolocation data from users. It integrates with SSH tunnel to securely expose your local server to the internet, enabling external access.

• Features
• Requirements
• Installation
• Usage
• Customization
• Disclaimer
• Author

• Captures images from users and saves them locally.
• Collects and logs geolocation data such as IP address, city, region, country, latitude, and longitude.
• Uses SSH to expose the local Flask server to the internet.
• Cross-platform support for Linux, macOS, Windows (Git Bash or Cygwin), and Termux on Android.

• Python 3.x
• pip (Python package installer)
• SSH installed on your Device

git clone https://github.com/mithun50/CamPish.git
cd CamPish

The setup script will install all required dependencies and prepare your environment.

For Linux, macOS, and Termux (Android):

chmod +x setup.sh
./setup.sh

For Windows:

1. Install Python 3.x from python.org.
2. Install pip and figlet manually or using the Cygwin setup.
3. Run setup.sh in Git Bash or manually install dependencies listed in requirements.txt.
4. Install OpenSSH on your platform

1. Install Python dependencies after installing the python on the device:

   pip install flask pyfiglet pyngrok requests termcolor

2. Install figlet and Openssh:
   • Debian/Ubuntu: sudo apt install figlet and sudo apt install openssh-server -y
   • Red Hat/Fedora: sudo yum install figlet and sudo dnf install openssh-server -y
   • macOS (Homebrew): brew install figlet and brew install openssh
   • Termux(android): pkg install figlet and pkg install openssh -y

1. Expose the Server:

   • The script will use the Portforwarding using the "SSH tunnel"

2. Access the Web Interface:

   • After starting the server, navigate to the provided URL and Send it to Victim(either local or the SSH tunnel public URL).

3. Capture Data:

   • The server captures images and logs IP-based geolocation data whenever a user accesses the / endpoint.

This project is for educational purposes only. It demonstrates basic Flask and Python scripting skills along with web-based data handling. It is not intended for malicious or unauthorized use. The author is not responsible for any misuse of this tool.