sneaky-package

This is project, which I created to find and exploit the security of the systems using the Python's own pip install.

1. Installation 🥸:

Install python package using the following command:

pip install matplotlib-visual

Node: The above package matplotlib-visual uses the same codebase as this repository. You can update/change/remove the package features as per your need.

2. Create a New Python File 👀:

Once the package is installed, create a new .py file and enter the following code to execute the features:

from matplotlib_visual.models import display
display('filename') # the name of the source code you have saved in the directory

filename - Enter filename, that is stored inside code_snippets.

Features

• Displaying text in console output using models package.
• Copying text into system clipboard using graph package.
• Writing the text file into root directory of the executing program using piechart package.

Purpose and Ethical Use

This project is created for ethically intruding into a machine using Python's pip install. The primary purpose of this package is educational, aiming to highlight and improve security measures by demonstrating potential vulnerabilities in systems.

Contributing

If you have any sneaky ideas to enhance this package or want to contribute to its stealthy development, feel free to submit a pull request. Remember, the key is to keep it discreet!

License

This package operates under the GPL 3.0 , allowing you to sneakily use and modify it as needed.

Happy sneaking! 🕵️‍♂️🤫