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| import random | |
| import speech_recognition as sr # For voice-to-text | |
| import json | |
| from network_scanner import scan_network | |
| from vulnerability_assessor import assess_vulnerabilities | |
| from exploit_deployer import deploy_exploit | |
| from database.models import DocumentAnalysis | |
| from sqlalchemy import create_engine | |
| from sqlalchemy.orm import sessionmaker | |
| from modules.real_time_threat_intelligence import RealTimeThreatIntelligence | |
| from modules.real_time_monitoring import RealTimeMonitoring | |
| from modules.threat_intelligence import ThreatIntelligence | |
| from modules.predictive_analytics import PredictiveAnalytics | |
| from modules.automated_incident_response import AutomatedIncidentResponse | |
| from modules.ai_red_teaming import AIRedTeaming | |
| from modules.apt_simulation import APTSimulation | |
| from modules.machine_learning_ai import MachineLearningAI | |
| from modules.data_visualization import DataVisualization | |
| from modules.blockchain_logger import BlockchainLogger | |
| from modules.cloud_exploitation import CloudExploitation | |
| from modules.iot_exploitation import IoTExploitation | |
| from modules.quantum_computing import QuantumComputing | |
| from modules.edge_computing import EdgeComputing | |
| from modules.serverless_computing import ServerlessComputing | |
| from modules.microservices_architecture import MicroservicesArchitecture | |
| from modules.cloud_native_applications import CloudNativeApplications | |
| from modules.advanced_decryption import AdvancedDecryption | |
| from modules.advanced_malware_analysis import AdvancedMalwareAnalysis | |
| from modules.advanced_social_engineering import AdvancedSocialEngineering | |
| from modules.alerts_notifications import AlertsNotifications | |
| from modules.device_fingerprinting import DeviceFingerprinting | |
| from modules.exploit_payloads import ExploitPayloads | |
| from modules.fuzzing_engine import FuzzingEngine | |
| from modules.mitm_stingray import MITMStingray | |
| from modules.network_exploitation import NetworkExploitation | |
| from modules.vulnerability_scanner import VulnerabilityScanner | |
| from modules.wireless_exploitation import WirelessExploitation | |
| from modules.zero_day_exploits import ZeroDayExploits | |
| from modules.device_control import DeviceControl | |
| from modules.windows_control import WindowsControl | |
| from modules.macos_control import MacOSControl | |
| from modules.linux_control import LinuxControl | |
| from modules.android_control import AndroidControl | |
| from modules.ios_control import iOSControl | |
| from modules.advanced_device_control import AdvancedDeviceControl | |
| from backend.code_parser import CodeParser | |
| from backend.pipeline_manager import PipelineManager | |
| import pika | |
| from kafka import KafkaProducer, KafkaConsumer | |
| import logging | |
| DATABASE_URL = "sqlite:///document_analysis.db" | |
| engine = create_engine(DATABASE_URL) | |
| SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine) | |
| # Configure logging | |
| logging.basicConfig(level=logging.ERROR, format='%(asctime)s - %(levelname)s - %(message)s') | |
| def get_response(user_input): | |
| """Handle user input and provide responses.""" | |
| responses = { | |
| "hi": "Hello! How can I assist you today?", | |
| "audit status": "The last audit was completed successfully.", | |
| "generate report": "Generating the audit report...", | |
| "feedback": "We value your feedback! Please provide your comments.", | |
| "scan networks": "Scanning networks for vulnerabilities...", | |
| "deploy exploit": "Deploying the exploit...", | |
| } | |
| return responses.get(user_input.lower(), "I'm sorry, I didn't understand that.") | |
| def handle_vulnerability_scanning(): | |
| """Handle network scanning and vulnerability assessment.""" | |
| try: | |
| devices = scan_network() | |
| vulnerabilities = assess_vulnerabilities(devices) | |
| # Save scan results to the database | |
| session = SessionLocal() | |
| try: | |
| scan_result = DocumentAnalysis( | |
| source="network_scan", | |
| title="Network Scan Results", | |
| links=str(vulnerabilities), | |
| error=None | |
| ) | |
| session.add(scan_result) | |
| session.commit() | |
| except Exception as e: | |
| logging.error(f"Error saving scan results to database: {e}") | |
| finally: | |
| session.close() | |
| return vulnerabilities | |
| except Exception as e: | |
| logging.error(f"Error during vulnerability scanning: {e}") | |
| return [] | |
| def handle_exploit_deployment(target): | |
| """Handle the deployment of exploits.""" | |
| try: | |
| result = deploy_exploit(target) | |
| # Save exploit deployment results to the database | |
| session = SessionLocal() | |
| try: | |
| exploit_result = DocumentAnalysis( | |
| source="exploit_deployment", | |
| title="Exploit Deployment Results", | |
| links=target, | |
| error=None if result else "Exploit deployment failed" | |
| ) | |
| session.add(exploit_result) | |
| session.commit() | |
| except Exception as e: | |
| logging.error(f"Error saving exploit deployment results to database: {e}") | |
| finally: | |
| session.close() | |
| return "Exploit deployed successfully!" if result else "Exploit deployment failed." | |
| except Exception as e: | |
| logging.error(f"Error during exploit deployment: {e}") | |
| return "Exploit deployment failed." | |
| def setup_kafka(): | |
| try: | |
| producer = KafkaProducer(bootstrap_servers='localhost:9092') | |
| consumer = KafkaConsumer('my_topic', bootstrap_servers='localhost:9092', auto_offset_reset='earliest', enable_auto_commit=True, group_id='my-group') | |
| return producer, consumer | |
| except Exception as e: | |
| print(f"Error setting up Kafka: {e}") | |
| return None, None | |
| def send_message_to_kafka(producer, topic, message): | |
| try: | |
| producer.send(topic, message.encode('utf-8')) | |
| producer.flush() | |
| print(f"Sent message to Kafka topic {topic}: {message}") | |
| except Exception as e: | |
| print(f"Error sending message to Kafka: {e}") | |
| def receive_message_from_kafka(consumer): | |
| try: | |
| for message in consumer: | |
| print(f"Received message from Kafka: {message.value.decode('utf-8')}") | |
| except Exception as e: | |
| print(f"Error receiving message from Kafka: {e}") | |
| def chat(): | |
| """Main chat function to interact with users.""" | |
| print("Welcome to the Corporate Device Security Audit Chatbot!") | |
| while True: | |
| user_input = input("You: ") | |
| if user_input.lower() in ["exit", "quit"]: | |
| print("Chatbot: Goodbye!") | |
| break | |
| # Check for voice input command | |
| if user_input.lower() == "voice input": | |
| print("Chatbot: Listening...") | |
| recognizer = sr.Recognizer() | |
| with sr.Microphone() as source: | |
| audio = recognizer.listen(source) | |
| try: | |
| user_input = recognizer.recognize_google(audio) | |
| print(f"You: {user_input}") | |
| except sr.UnknownValueError: | |
| print("Chatbot: Sorry, I didn't catch that.") | |
| continue | |
| # Process specific commands | |
| if "scan networks" in user_input.lower(): | |
| vulnerabilities = handle_vulnerability_scanning() | |
| print(f"Chatbot: Found vulnerabilities: {vulnerabilities}") | |
| elif "deploy exploit" in user_input.lower(): | |
| target = input("Enter target for exploit deployment: ") | |
| result = handle_exploit_deployment(target) | |
| print(f"Chatbot: {result}") | |
| else: | |
| response = get_response(user_input) | |
| print(f"Chatbot: {response}") | |
| if __name__ == "__main__": | |
| chat() | |
| # Initialize real-time threat intelligence and monitoring modules | |
| try: | |
| threat_intelligence = RealTimeThreatIntelligence(api_key="YOUR_API_KEY") | |
| monitoring = RealTimeMonitoring(threat_intelligence_module=threat_intelligence) | |
| except Exception as e: | |
| print(f"Error initializing real-time threat intelligence and monitoring modules: {e}") | |
| # Integrate the ThreatIntelligence module with RealTimeMonitoring | |
| try: | |
| advanced_threat_intelligence = ThreatIntelligence() | |
| monitoring.threat_intelligence_module = advanced_threat_intelligence | |
| except Exception as e: | |
| print(f"Error integrating ThreatIntelligence module with RealTimeMonitoring: {e}") | |
| # Add real-time threat data analysis using the ThreatIntelligence module | |
| async def analyze_threat_data(): | |
| try: | |
| threat_data = await advanced_threat_intelligence.get_threat_intelligence() | |
| analyzed_data = advanced_threat_intelligence.process_data(threat_data) | |
| return analyzed_data | |
| except Exception as e: | |
| print(f"Error analyzing threat data: {e}") | |
| # Update the RealTimeThreatIntelligence initialization to include the ThreatIntelligence module | |
| try: | |
| threat_intelligence_module = RealTimeThreatIntelligence(api_key="YOUR_API_KEY") | |
| threat_intelligence_module.threat_intelligence = advanced_threat_intelligence | |
| except Exception as e: | |
| print(f"Error updating RealTimeThreatIntelligence initialization: {e}") | |
| # Add real-time threat data monitoring using the ThreatIntelligence module | |
| async def monitor_threat_data(): | |
| try: | |
| threat_data = await advanced_threat_intelligence.get_threat_intelligence() | |
| for threat in threat_data: | |
| if threat["severity"] > 0.8: | |
| monitoring.trigger_alert(threat) | |
| except Exception as e: | |
| print(f"Error monitoring threat data: {e}") | |
| # Integrate the AutomatedIncidentResponse module with RealTimeMonitoring | |
| try: | |
| automated_incident_response = AutomatedIncidentResponse() | |
| monitoring.automated_incident_response = automated_incident_response | |
| except Exception as e: | |
| print(f"Error integrating AutomatedIncidentResponse module with RealTimeMonitoring: {e}") | |
| # Integrate the AIRedTeaming module with RealTimeMonitoring | |
| try: | |
| ai_red_teaming = AIRedTeaming() | |
| monitoring.ai_red_teaming = ai_red_teaming | |
| except Exception as e: | |
| print(f"Error integrating AIRedTeaming module with RealTimeMonitoring: {e}") | |
| # Integrate the APTSimulation module with RealTimeMonitoring | |
| try: | |
| apt_simulation = APTSimulation() | |
| monitoring.apt_simulation = apt_simulation | |
| except Exception as e: | |
| print(f"Error integrating APTSimulation module with RealTimeMonitoring: {e}") | |
| # Integrate the PredictiveAnalytics module with RealTimeMonitoring | |
| try: | |
| predictive_analytics = PredictiveAnalytics() | |
| monitoring.predictive_analytics = predictive_analytics | |
| except Exception as e: | |
| print(f"Error integrating PredictiveAnalytics module with RealTimeMonitoring: {e}") | |
| # Integrate the MachineLearningAI module with RealTimeMonitoring | |
| try: | |
| machine_learning_ai = MachineLearningAI() | |
| monitoring.machine_learning_ai = machine_learning_ai | |
| except Exception as e: | |
| print(f"Error integrating MachineLearningAI module with RealTimeMonitoring: {e}") | |
| # Integrate the DataVisualization module with RealTimeMonitoring | |
| try: | |
| data_visualization = DataVisualization() | |
| monitoring.data_visualization = data_visualization | |
| except Exception as e: | |
| print(f"Error integrating DataVisualization module with RealTimeMonitoring: {e}") | |
| # Integrate the CloudExploitation module with RealTimeMonitoring | |
| try: | |
| cloud_exploitation = CloudExploitation() | |
| monitoring.cloud_exploitation = cloud_exploitation | |
| except Exception as e: | |
| print(f"Error integrating CloudExploitation module with RealTimeMonitoring: {e}") | |
| # Integrate the IoTExploitation module with RealTimeMonitoring | |
| try: | |
| iot_exploitation = IoTExploitation() | |
| monitoring.iot_exploitation = iot_exploitation | |
| except Exception as e: | |
| print(f"Error integrating IoTExploitation module with RealTimeMonitoring: {e}") | |
| # Integrate the QuantumComputing module with RealTimeMonitoring | |
| try: | |
| quantum_computing = QuantumComputing() | |
| monitoring.quantum_computing = quantum_computing | |
| except Exception as e: | |
| print(f"Error integrating QuantumComputing module with RealTimeMonitoring: {e}") | |
| # Integrate the EdgeComputing module with RealTimeMonitoring | |
| try: | |
| edge_computing = EdgeComputing() | |
| monitoring.edge_computing = edge_computing | |
| except Exception as e: | |
| print(f"Error integrating EdgeComputing module with RealTimeMonitoring: {e}") | |
| # Integrate the ServerlessComputing module with RealTimeMonitoring | |
| try: | |
| serverless_computing = ServerlessComputing() | |
| monitoring.serverless_computing = serverless_computing | |
| except Exception as e: | |
| print(f"Error integrating ServerlessComputing module with RealTimeMonitoring: {e}") | |
| # Integrate the MicroservicesArchitecture module with RealTimeMonitoring | |
| try: | |
| microservices_architecture = MicroservicesArchitecture() | |
| monitoring.microservices_architecture = microservices_architecture | |
| except Exception as e: | |
| print(f"Error integrating MicroservicesArchitecture module with RealTimeMonitoring: {e}") | |
| # Integrate the CloudNativeApplications module with RealTimeMonitoring | |
| try: | |
| cloud_native_applications = CloudNativeApplications() | |
| monitoring.cloud_native_applications = cloud_native_applications | |
| except Exception as e: | |
| print(f"Error integrating CloudNativeApplications module with RealTimeMonitoring: {e}") | |
| # Integrate the DeviceControl module with RealTimeMonitoring | |
| try: | |
| device_control = DeviceControl() | |
| monitoring.device_control = device_control | |
| except Exception as e: | |
| print(f"Error integrating DeviceControl module with RealTimeMonitoring: {e}") | |
| # Integrate the WindowsControl module with RealTimeMonitoring | |
| try: | |
| windows_control = WindowsControl() | |
| monitoring.windows_control = windows_control | |
| except Exception as e: | |
| print(f"Error integrating WindowsControl module with RealTimeMonitoring: {e}") | |
| # Integrate the MacOSControl module with RealTimeMonitoring | |
| try: | |
| macos_control = MacOSControl() | |
| monitoring.macos_control = macos_control | |
| except Exception as e: | |
| print(f"Error integrating MacOSControl module with RealTimeMonitoring: {e}") | |
| # Integrate the LinuxControl module with RealTimeMonitoring | |
| try: | |
| linux_control = LinuxControl() | |
| monitoring.linux_control = linux_control | |
| except Exception as e: | |
| print(f"Error integrating LinuxControl module with RealTimeMonitoring: {e}") | |
| # Integrate the AndroidControl module with RealTimeMonitoring | |
| try: | |
| android_control = AndroidControl() | |
| monitoring.android_control = android_control | |
| except Exception as e: | |
| print(f"Error integrating AndroidControl module with RealTimeMonitoring: {e}") | |
| # Integrate the iOSControl module with RealTimeMonitoring | |
| try: | |
| ios_control = iOSControl() | |
| monitoring.ios_control = ios_control | |
| except Exception as e: | |
| print(f"Error integrating iOSControl module with RealTimeMonitoring: {e}") | |
| # Integrate the AdvancedDeviceControl module with RealTimeMonitoring | |
| try: | |
| advanced_device_control = AdvancedDeviceControl() | |
| monitoring.advanced_device_control = advanced_device_control | |
| except Exception as e: | |
| print(f"Error integrating AdvancedDeviceControl module with RealTimeMonitoring: {e}") | |
| # Implement best practices for integrating message queues | |
| def setup_message_queue(): | |
| try: | |
| connection = pika.BlockingConnection(pika.ConnectionParameters('localhost')) | |
| channel = connection.channel() | |
| channel.queue_declare(queue='task_queue', durable=True) | |
| return channel | |
| except Exception as e: | |
| print(f"Error setting up message queue: {e}") | |
| return None | |
| message_queue_channel = setup_message_queue() | |
| def send_message_to_queue(message): | |
| try: | |
| if message_queue_channel: | |
| message_queue_channel.basic_publish( | |
| exchange='', | |
| routing_key='task_queue', | |
| body=message, | |
| properties=pika.BasicProperties( | |
| delivery_mode=2, # make message persistent | |
| )) | |
| print(f"Sent message to queue: {message}") | |
| else: | |
| print("Message queue channel is not available.") | |
| except Exception as e: | |
| print(f"Error sending message to queue: {e}") | |
| # Example usage of sending a message to the queue | |
| send_message_to_queue("Test message") | |
| # Add a continue button for the AI chatbot to continue incomplete responses | |
| continue_button = pn.widgets.Button(name="Continue", button_type="primary") | |
| # Add a download icon button for downloading zip files of projects | |
| download_button = pn.widgets.Button(name="Download .zip", button_type="primary", icon="download") | |