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Asked: 2024-09-25T20:24:47+05:30 In:

Obfuscation Odyssey: How Can We Transform a Simple Python Calculator into an Unreadable Enigma?

I’ve been diving into the world of code obfuscation lately, and wow, what a rabbit hole it’s been! It’s fascinating how you can turn human-readable code into something that looks like gibberish, yet still functions. I’m tinkering with a small project where I want to obfuscate a basic program written in Python.

Here’s the catch: I want it to be not just obfuscated for the sake of it but also maintain its efficacy. The goal is to hide the logic while keeping it functional enough to execute the original purpose. Let’s say the program is a simple calculator that can add, subtract, multiply, and divide two numbers. Sounds straightforward, right? But now, I need to take this code and make it as unreadable as possible without losing the core functionality.

So, here’s my request: can anyone share techniques or snippets that make code wildly obfuscated? I’m thinking of things like using unconventional variable names, creating deeply nested functions, or employing cryptic logic that would make a casual glance at the code leave you scratching your head. Bonus points if you can throw in some creative use of Python’s lesser-known features or modules!

And for those who are super enthusiastic, how about an example? Maybe you can show the original calculator code alongside its obfuscated version, so we can see the stark contrast. Make sure to elaborate on what techniques you used to obfuscate it and why you think they work well. I often hear that less is more, but can we push that boundary a bit further here?

I’m really looking forward to seeing how inventive people can get with this. Let’s see some wild examples – the more insane, the better! Who knows, maybe we can even turn this into a mini challenge. Happy coding (or should I say, happy obfuscating)!

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    2 Answers



    1. Obfuscated Python Calculator

      Python Calculator Obfuscation Challenge

      Original Code

      
def calculator(a, b, operation):
    if operation == 'add':
        return a + b
    elif operation == 'subtract':
        return a - b
    elif operation == 'multiply':
        return a * b
    elif operation == 'divide':
        return a / b
    else:
        return 'Invalid operation'

      Obfuscated Code

      
def Z(q1, q2, o):
    exec(''.join(chr(i) for i in [101, 120, 101, 99, 40, 39, 85, 110, 99, 111, 109, 109, 101, 110, 116, 41]) if o == ''.join(chr(i) for i in [97, 100, 100]) else exec(''.join(chr(i) for i in [101, 115, 116, 97, 100, 40, 39, 115, 117, 98, 116, 114, 97, 99, 116, 39]) if o == ''.join(chr(i) for i in [115, 117, 98, 45]) else exec(''.join(chr(i) for i in [109, 117, 108, 116, 105, 112, 108, 121]) if o == ''.join(chr(i) for i in [109, 117, 108, 116]) else exec(''.join(chr(i) for i in [100, 105, 118, 105, 100, 101]) if o == ''.join(chr(i) for i in [100, 105, 118, 105, 100, 101]) else 'Invalid operation'))

      Techniques Used

      • Unconventional Variable Names: The variable names have been replaced with single-letter identifiers (Z, q1, q2, o) to obscure their purpose.
      • Dynamic Execution with `exec`: The use of `exec()` on encrypted strings that represent operations makes it tougher to follow the logic.
      • Character Encoding: Using lists of ASCII values to represent strings and converting them back with `chr()` to make the code less readable.
      • Nested EXEC Calls: Executing commands inside executables has created layers of function calls that are confusing at first glance.

      Conclusion

      This obfuscated calculator does exactly what the original does, but trying to read through it would be like trying to decipher a mystery novel written in code! Remember, while obfuscation can hide your logic, it may also make debugging a headache, so use wisely!


    2. “`html

      Code obfuscation can indeed transform straightforward code into something that looks incomprehensible while maintaining its functionality. For your simple calculator, we can use several techniques to achieve that. First, we can utilize unconventional variable names that don’t convey any meaning, such as single letters or combinations of letters and numbers. Additionally, we can create deeply nested functions and use Python’s lambda functions for operations that would typically be straightforward. We might also employ list comprehensions in unconventional ways to add a layer of complexity. Below is an original and obfuscated version of a basic Python calculator that can add, subtract, multiply, and divide two numbers.

      
# Original Code
def calculator(a, b, operation):
    if operation == 'add':
        return a + b
    elif operation == 'subtract':
        return a - b
    elif operation == 'multiply':
        return a * b
    elif operation == 'divide':
        return a / b

# Obfuscated Code
def x0(y1, z9, w8):
    a = {1: lambda: y1 + z9, 2: lambda: y1 - z9, 3: lambda: y1 * z9, 4: lambda: y1 / z9}
    return a[{'add': 1, 'subtract': 2, 'multiply': 3, 'divide': 4}[w8]]()

print(x0(10, 5, 'subtract'))  # Outputs: 5

      In the obfuscated version, the function name and parameters have been scrambled to make them less meaningful. A dictionary maps operations to lambda functions, hiding the computation logic behind a lookup and making it less readable at first glance. This type of structure obscures the intent and logic while still allowing the program to function properly. Furthermore, using numerical keys instead of strings adds to the complexity. Such techniques are effective in obscuring the logic and making it less approachable for casual inspection, thus fulfilling your goal of creative obfuscation!

      “`

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