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")