FoodPanddos is a simple DDoS (Distributed Denial of Service) tool implemented in Python using the Tkinter library. This tool is designed for educational purposes only to demonstrate how DDoS attacks can impact network availability and to raise awareness about network security.

Please note that using this tool for any malicious or non-ethical purposes is strictly prohibited.

• User-friendly graphical interface built with Tkinter.
• User authentication to ensure authorized access.
• Ability to initiate DDoS attacks on target IP addresses or URLs.
• Customizable attack parameters, including target port, attack duration, and payload type.
• Real-time display of attack statistics, such as packets sent, attack duration, and packets per second.
• Target verification to check the availability of a target before launching an attack.
• Logging of attack statistics to a log file with date and time.

1. Clone the repository: https://github.com/UltimaCodes/FoodPanddos.git

2. Install the required dependencies:

   $ pip install pillow tk requests

3. Run the script: python FoodPanddos.py

4. Enter the password to authenticate and access the attack controls: aswdfzxcbvbhgtyyn

Note: Always use this tool responsibly and with proper authorization.

Note: For the icon, download the png and place it in your D drive. If the file path is different then you will need to update it in the code (not optional)

The FoodPanddos tool is provided for educational purposes only. The authors and contributors of this tool are not responsible for any misuse or damage caused by the use of this tool. Please use it responsibly and respect the laws and ethical guidelines of your jurisdiction.

Contributions are welcome! If you find any issues or would like to enhance the functionality of FoodPanddos, please feel free to submit a pull request.

This project is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0).

Please review the license terms and ensure compliance. The license restricts the use of this project for non-commercial purposes only and prohibits creating derivative works without explicit permission.