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🌹 A Python Code Obfuscator 🛡️

RoseGuardian

About   |   Features   |   Usage   |   Todo   |   Examples   |   License   |   Author

About 🌹

RoseGuardian is a powerful Python code obfuscator designed to safeguard your intellectual property. It employs advanced techniques to obscure your source code, making it significantly more challenging for potential reverse engineers to understand or modify.

Features ✨

• 🔐 Strong Class and Function Renaming
• 📥 Code Compression with zlib
• 📦 Create Marshalized Objects
• 📜 Remove Comments

Usage 🚀

For optimal obfuscation, it is recommended to set the junk layers to 10 and utilize obfuscation method 1.

# Clone the project
$ git clone https://github.com/DamagingRose/RoseGuardian.git

# Navigate to project directory
$ cd RoseGuardian

# Run the project
$ python RoseGuardian.py <your_file> <junk_layers> <obfuscation_method>

Todo 📝

• Rename Variables and Parameters
• Remove Docstrings
• Add library support

Examples 📋

Command:

# Obfuscates test.py with 2 junk layers and obfuscation method 1
$ python RoseGuardian.py test.py 2 1

Before (test.py):

import random, string
import base64

def hello():
   
    global var
    
    var = 'hii' # hi
    
    print(var)

print(random.choices(string.ascii_letters, k=5))

hello()

print(base64.b64encode(var.encode('utf-8')))

class banana(): # banana
    ss = b'\nPEWPEW'

    print(ss)

def counter(num):

    for i in range(num):

        print('dogs are cool!')

counter(5)

# lalala

After (obfuscated_test.py):

__obfuscator__ = 'RoseGuardian'
__author__ = 'gumbobr0t'
__github__ = 'https://github.com/DamagingRose/RoseGuardian'
__license__ = 'EPL-2.0'


def complicated_function():
    result = 0
    for i in range(1, 11):
        result += i**3 - i**2 + i
    return result

class ComplicatedAlgorithm:
    def __init__(self):
        self._ = None
        self.__ = None

    def execute(self):
        pass

def execute_complicated_algorithm():
    _ = ComplicatedAlgorithm()
    _._ = lambda _, __: _.___(__) + _.___(_.___(_.__(_.___(_.__))))

def analyze_data():
    import random
    
    data = [random.randint(1, 100) for _ in range(10)]
    result = sum(data) / len(data)


import marshal, base64, zlib; exec(marshal.loads(zlib.decompress(base64.b64decode(b'eJxNkNFLwzAQxudr/orzKQ3MPm1DhD6piAxkIFgRQdI06W5rcyOXDfzvTdeADYHku3C/77vw4WaxwOFEIULQvqVhCRwD+k7kaqPZblZCiNY6IPdlXt/x4C6FehCQVtdTo3u46HCV6YQK5B5RXvUpoWKRqioRJjHZlGZPaCwXk1up2SD+9DZGG3gJx2qtlJjb5e4pTtlsVtYbau3ILvNVnqO7u5dKjWam18zwgbXZ6if/8jjFTaUKGvntd8912vOQzCpPuXVvu/r3k45D4c9DHtRRAAT04zd1dvbwT5AtdQw6WDBE/a0ceTPWWok/MtZvYw=='))))
def gravimetric_flux():
    pass

class warp_inverter:
    def __init__(self):
        self._ = None
        self.__ = None

    def subspace_transducer(self, _):
        return self.subspace_transducer(_)

def chronal_conduit():
    _ = warp_inverter()
    _._ = lambda _, __: _.___(__) + _.___(_.___(_.__(_.___(_.__))))

def singularity_stabilizer():
    _ = gravimetric_flux()
    _._ = lambda _, __: _.___(__) + _.___(_.___(_.__(_.___(_.__))))

def entropic_reactor():
    pass

License 📄

This project is licensed under the EPL-2.0 license.

Author 🎓

Developed with ❤️ by gumbobrot

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