pseudocode.py

Pseudocode:

# Metamorphic malware function that takes an input file and applies
# metamorphic transformations to it, using a neural network to predict
# whether the transformed file is likely to be detected as malicious
# by security mechanisms. If the prediction is "malicious", the
# function exits without executing the transformed file. Otherwise,
# it executes the transformed file.
function metamorphicMalware(inputFile):
    # Load the neural network model from a file
    neuralNetwork = loadNeuralNetworkModel("model.h5")

    # Apply metamorphic transformations to the input file
    transformedFile = transformFile(inputFile)

    # Use the neural network to predict whether the transformed file is malicious
    prediction = neuralNetwork.predict(transformedFile)

    # If the prediction is "malicious", exit without executing the transformed file
    if prediction == "malicious":
        return

    # Otherwise, execute the transformed file
    execute(transformedFile)

# Function that applies metamorphic transformations to an input file
function transformFile(inputFile):
    # Initialize an empty list to store the transformations
    transformations = []

    # Choose a random number of transformations to apply (between 1 and 5)
    numTransformations = randint(1, 5)

    # Apply the chosen number of transformations
    for i in range(numTransformations):
        # Choose a random transformation to apply
        transformation = chooseRandomTransformation()
        # Apply the transformation to the input file
        inputFile = transformation(inputFile)
        # Add the transformation to the list of transformations
        transformations.append(transformation)

    # Return the transformed file
    return inputFile

# Function that chooses a random transformation from a list of available transformations
function chooseRandomTransformation():
    # List of available transformations
    transformations = [encrypt, addJunkCode, renameVariables, changeControlFlow]

    # Choose a random transformation and return it
    return choice(transformations)

# Example transformation functions

# Encryption transformation that encrypts the input file using a randomly generated key
function encrypt(inputFile):
    key = generateRandomKey()
    encryptedFile = inputFile.encrypt(key)
    return encryptedFile

# Junk code transformation that adds random, meaningless code to the input file
function addJunkCode(inputFile):
    junkCode = generateRandomJunkCode()
    inputFile.addCode(junkCode)
    return inputFile

# Rename variables transformation that renames variables in the input file to random names
function renameVariables(inputFile):
    inputFile.renameVariables()
    return inputFile

# Change control flow transformation that modifies the control flow of the input file
function changeControlFlow(inputFile):
    inputFile.modifyControlFlow()
    return inputFile

# Use cases:

# Case 1: Malicious input file
inputFile = loadFile("malware.exe")
metamorphicMalware(inputFile)  # The function should exit without executing the file

# Case 2: Benign input file
inputFile = loadFile("calculator.exe")
metamorphicMalware(inputFile)  # The function should execute the file