Code Diff Exploit Simulator

What It Does

Installation

Usage

python code_diff_exploit_simulator.py --old_version ./old_code --new_version ./new_code --output ./report.txt

Source Code

import os
import difflib
import argparse
from rich.console import Console
from rich.table import Table
import openai

def analyze_code_diff(old_version_path, new_version_path):
    """
    Analyze differences between two codebases and predict potential vulnerabilities.

    Args:
        old_version_path (str): Path to the old version of the codebase.
        new_version_path (str): Path to the new version of the codebase.

    Returns:
        list: List of potential vulnerabilities detected.
    """
    vulnerabilities = []
    console = Console()

    if not os.path.exists(old_version_path) or not os.path.exists(new_version_path):
        console.print("[red]Error: One or both paths do not exist.[/red]")
        return vulnerabilities

    if os.path.isdir(old_version_path) and os.path.isdir(new_version_path):
        old_files = {f: os.path.join(old_version_path, f) for f in os.listdir(old_version_path)}
        new_files = {f: os.path.join(new_version_path, f) for f in os.listdir(new_version_path)}

        common_files = set(old_files.keys()) & set(new_files.keys())

        for file_name in common_files:
            with open(old_files[file_name], 'r') as old_file, open(new_files[file_name], 'r') as new_file:
                old_content = old_file.readlines()
                new_content = new_file.readlines()

                diff = difflib.unified_diff(old_content, new_content, lineterm='')
                diff_text = '\n'.join(diff)

                if diff_text:
                    response = predict_vulnerability(diff_text)
                    vulnerabilities.append((file_name, response))
    else:
        console.print("[red]Error: Both paths must be directories containing code files.[/red]")

    return vulnerabilities

def predict_vulnerability(diff_text):
    """
    Use OpenAI's API to predict vulnerabilities based on code diff.

    Args:
        diff_text (str): Unified diff text.

    Returns:
        str: Predicted vulnerability description.
    """
    try:
        response = openai.Completion.create(
            model="text-davinci-003",
            prompt=f"Analyze the following code diff and predict potential vulnerabilities:\n{diff_text}",
            max_tokens=100
        )
        return response['choices'][0]['text'].strip()
    except Exception as e:
        return f"Error during vulnerability prediction: {e}"

def generate_report(vulnerabilities, output_path):
    """
    Generate a vulnerability assessment report.

    Args:
        vulnerabilities (list): List of vulnerabilities detected.
        output_path (str): Path to save the report.
    """
    console = Console()
    table = Table(title="Vulnerability Assessment Report")
    table.add_column("File", style="cyan")
    table.add_column("Vulnerability", style="red")

    for file_name, vulnerability in vulnerabilities:
        table.add_row(file_name, vulnerability)

    if output_path:
        with open(output_path, 'w') as report_file:
            report_file.write(str(table))
        console.print(f"[green]Report saved to {output_path}[/green]")
    else:
        console.print(table)

def main():
    parser = argparse.ArgumentParser(description="Code Diff Exploit Simulator")
    parser.add_argument('--old_version', required=True, help="Path to the old version of the codebase")
    parser.add_argument('--new_version', required=True, help="Path to the new version of the codebase")
    parser.add_argument('--output', help="Path to save the vulnerability assessment report")

    args = parser.parse_args()

    vulnerabilities = analyze_code_diff(args.old_version, args.new_version)
    generate_report(vulnerabilities, args.output)

if __name__ == "__main__":
    main()