π‘οΈ Nuitka & Protection Guide π‘οΈ
This repository explains how to use Nuitka to compile your Python scripts into standalone executables and apply advanced protection with VMProtect, Themida, or similar tools.
By following this guide, you can distribute your Python programs while protecting them from reverse engineering.
π Example Scripts π
Here are some example scripts to demonstrate the compilation and protection process.
simple_script.py
This is a simple Python script that prints "Hello, World!" to the console.
print("Hello, World!")
advanced_script.py
This is a more complex script that might include external dependencies and requires additional considerations when converting to an executable.
import os
def main():
print(f"Current working directory: {os.getcwd()}")
if __name__ == "__main__":
main()
π οΈ How to Compile and Protect a Python Script π οΈ
Follow these steps to compile your Python script into an executable and protect it from reverse engineering:
- Install Nuitka via pip:
pip install nuitka
- Navigate to the directory containing your script:
cd path/to/your/script
- Compile the script using Nuitka:
This will create a standalone executable in the
nuitka --standalone --onefile --output-dir=output_dir your_script.py
output_dir
.
Once you have generated the executable with Nuitka, you can use VMProtect or Themida to protect it:
- Open VMProtect and select the compiled executable.
- Configure the protection settings according to your needs.
- Generate the protected executable.
- Open Themida and import the executable.
- Configure the desired protection options.
- Apply the protection and save the output.
π Why Use VMProtect or Themida? π
These tools add layers of protection to your executables, making it much harder for attackers to reverse engineer your code. They offer various features such as code obfuscation, anti-debugging mechanisms, and virtualization.
ποΈ Additional Resources ποΈ
For more details on how to bundle your Python application with Nuitka, refer to the official documentation:
README.md inspired by this repo