fibrohash - A Secure Password Generator

fibrohash is a Python-based password generator that combines the strength of Fibonacci numbers and bitwise operations to create secure, unpredictable passwords. It utilizes a custom extended character set and leverages random user input to generate complex passwords of varying lengths.

Features

• Generates passwords based on Fibonacci numbers and random user input.
• Customizable password length and other parameters.
• Uses bitwise XOR, shifting, and masking for added complexity.
• Custom Base64 encoding using an extended character set that includes symbols.
• No fixed pattern for password output, ensuring strong randomness and security.

How It Works

1. Fibonacci Numbers: Generates random large Fibonacci numbers to add unpredictability.
2. User Input: Converts the user's input into ASCII values, which are then combined with Fibonacci numbers.
3. Bitwise Operations: Applies XOR, bit shifting, and masking for added complexity.
4. Custom Charset: Converts the final result into a string using a custom extended charset, which includes alphanumeric characters and symbols.
5. Dynamic Passwords: Password length and complexity vary based on user input, making it harder to predict.

Installation

To use fibrohash, you'll need Python installed on your system. Follow the instructions below to get started:

1. Clone the repository:

   git clone https://github.com/SpyrosLefkaditis/fibrohash.git

2. Navigate to the project directory:

   cd fibrohash

3. Run fibrohash: (For linux)

   chmod +x init.sh
   ./init.sh 

   (For windows)

   python main.py

Test Script

To test how well the generated passwords work, you can use the provided test.py script: Linux

python3 test.py

Windows

python test.py

This script will generate passwords based on several test phrases and log the results.

Example Output

Here is an example of a generated password:

Oao9(rO&SYG6p7Pvu?xOK.=,Tl86BFGL

Note: Each time you run the password generator with different input, the output will vary, ensuring high entropy and unpredictability.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contributing

Feel free to fork this project, open issues, or submit pull requests. All contributions are welcome!