AI Vulnerability Exploit Simulator

What It Does

Installation

Usage

python ai_vuln_exploit_simulator.py --vuln_report <path_to_vulnerability_report.json> --config <path_to_config.yaml>

Source Code

import argparse
import json
import yaml
import docker
from transformers import pipeline

def load_vulnerability_report(file_path):
    """Load the vulnerability report from a JSON file."""
    try:
        with open(file_path, 'r') as file:
            return json.load(file)
    except FileNotFoundError:
        raise FileNotFoundError(f"The file {file_path} does not exist.")
    except json.JSONDecodeError:
        raise ValueError(f"The file {file_path} is not a valid JSON file.")

def load_config(file_path):
    """Load the sandbox configuration from a YAML file."""
    try:
        with open(file_path, 'r') as file:
            return yaml.safe_load(file)
    except FileNotFoundError:
        raise FileNotFoundError(f"The file {file_path} does not exist.")
    except yaml.YAMLError:
        raise ValueError(f"The file {file_path} is not a valid YAML file.")

def simulate_exploit(vulnerabilities, config):
    """Simulate exploits using AI and Docker sandbox."""
    # Initialize a text generation pipeline (mocked for simplicity)
    generator = pipeline("text-generation", model="gpt2")

    results = []
    client = docker.from_env()

    for vuln in vulnerabilities:
        description = vuln.get("description", "No description provided.")
        exploit_code = generator(description, max_length=50, num_return_sequences=1)[0]['generated_text']

        # Simulate the exploit in a sandbox environment (mocked for simplicity)
        try:
            container = client.containers.run(
                image=config.get("docker_image", "python:3.9"),
                command=f"python -c \"{exploit_code}\"",
                detach=True,
                auto_remove=True
            )
            logs = container.logs().decode('utf-8')
            success = "Exploit succeeded" in logs
        except Exception as e:
            logs = str(e)
            success = False

        results.append({
            "vulnerability": description,
            "exploit_code": exploit_code,
            "success": success,
            "logs": logs
        })

    return results

def main():
    parser = argparse.ArgumentParser(description="AI Vulnerability Exploit Simulator")
    parser.add_argument("--vuln_report", required=True, help="Path to the vulnerability report JSON file.")
    parser.add_argument("--config", required=True, help="Path to the sandbox configuration YAML file.")
    args = parser.parse_args()

    try:
        vulnerabilities = load_vulnerability_report(args.vuln_report)
        config = load_config(args.config)
        results = simulate_exploit(vulnerabilities, config)

        print(json.dumps(results, indent=2))
    except Exception as e:
        print(f"Error: {e}")

if __name__ == "__main__":
    main()