app.py

from flask import Flask, render_template, request, jsonify
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 backend.code_parser import CodeParser
from backend.pipeline_manager import PipelineManager

from kafka import KafkaProducer, KafkaConsumer

import os
import logging

app = Flask(__name__)

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.DEBUG, format='%(asctime)s - %(levelname)s - %(message)s')

def scan_network():
    try:
        # Placeholder function for scanning network
        devices = ["Device1", "Device2", "Device3"]
        return devices
    except Exception as e:
        logging.error(f"Error during network scanning: {e}")
        return []

def deploy_exploit(target):
    try:
        # Placeholder function for deploying exploit
        if target in ["Device1", "Device2", "Device3"]:
            return "Exploit deployed successfully!"
        return "Exploit deployment failed."
    except Exception as e:
        logging.error(f"Error during exploit deployment: {e}")
        return "Exploit deployment failed."

def save_scan_results_to_db(source, title, links, error):
    session = SessionLocal()
    try:
        scan_result = DocumentAnalysis(
            source=source,
            title=title,
            links=links,
            error=error
        )
        session.add(scan_result)
        session.commit()
    except Exception as e:
        logging.error(f"Error saving scan results to database: {e}")
    finally:
        session.close()

@app.route('/')
def index():
    return render_template('index.html')

@app.route('/scan_network', methods=['POST'])
def scan_network_endpoint():
    devices = scan_network()
    vulnerabilities = assess_vulnerabilities(devices)
    save_scan_results_to_db("network_scan", "Network Scan Results", str(vulnerabilities), None)
    return jsonify(vulnerabilities)

@app.route('/deploy_exploit', methods=['POST'])
def deploy_exploit_endpoint():
    target = request.json.get('target')
    result = deploy_exploit(target)
    save_scan_results_to_db("exploit_deployment", "Exploit Deployment Results", target, result)
    return jsonify({"result": result})

# Initialize real-time threat intelligence and monitoring modules
try:
    threat_intelligence = RealTimeThreatIntelligence(api_key=os.getenv("REAL_TIME_THREAT_INTELLIGENCE_API_KEY"))
    monitoring = RealTimeMonitoring(threat_intelligence_module=threat_intelligence)
except Exception as e:
    logging.error(f"Error initializing real-time threat intelligence and monitoring modules: {e}")

# Initialize and integrate new modules in the main function
try:
    advanced_threat_intelligence = ThreatIntelligence()
    predictive_analytics = PredictiveAnalytics()
    automated_incident_response = AutomatedIncidentResponse()
    ai_red_teaming = AIRedTeaming()
    apt_simulation = APTSimulation()
    machine_learning_ai = MachineLearningAI()
    data_visualization = DataVisualization()
    blockchain_logger = BlockchainLogger()
    cloud_exploitation = CloudExploitation()
    iot_exploitation = IoTExploitation()
    quantum_computing = QuantumComputing()
    edge_computing = EdgeComputing()
    serverless_computing = ServerlessComputing()
    microservices_architecture = MicroservicesArchitecture()
    cloud_native_applications = CloudNativeApplications()
    advanced_decryption = AdvancedDecryption()
    advanced_malware_analysis = AdvancedMalwareAnalysis()
    advanced_social_engineering = AdvancedSocialEngineering()
    alerts_notifications = AlertsNotifications(smtp_server=os.getenv("SMTP_SERVER"), smtp_port=int(os.getenv("SMTP_PORT")), smtp_user=os.getenv("SMTP_USER"), smtp_password=os.getenv("SMTP_PASSWORD"))
    device_fingerprinting = DeviceFingerprinting()
    exploit_payloads = ExploitPayloads()
    fuzzing_engine = FuzzingEngine()
    mitm_stingray = MITMStingray(interface="wlan0")
    network_exploitation = NetworkExploitation()
    vulnerability_scanner = VulnerabilityScanner()
    wireless_exploitation = WirelessExploitation()
    zero_day_exploits = ZeroDayExploits()
    code_parser = CodeParser("sample_code")
    pipeline_manager = PipelineManager()
except Exception as e:
    logging.error(f"Error initializing modules: {e}")

# Integrate the ThreatIntelligence module with RealTimeMonitoring
try:
    monitoring.threat_intelligence_module = advanced_threat_intelligence
except Exception as e:
    logging.error(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:
        logging.error(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:
    logging.error(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:
        logging.error(f"Error monitoring threat data: {e}")

# Integrate the AutomatedIncidentResponse module with RealTimeMonitoring
try:
    monitoring.automated_incident_response = automated_incident_response
except Exception as e:
    logging.error(f"Error integrating AutomatedIncidentResponse module with RealTimeMonitoring: {e}")

# Integrate the AIRedTeaming module with RealTimeMonitoring
try:
    monitoring.ai_red_teaming = ai_red_teaming
except Exception as e:
    logging.error(f"Error integrating AIRedTeaming module with RealTimeMonitoring: {e}")

# Integrate the APTSimulation module with RealTimeMonitoring
try:
    monitoring.apt_simulation = apt_simulation()
except Exception as e:
    logging.error(f"Error integrating APTSimulation module with RealTimeMonitoring: {e}")

# Integrate the PredictiveAnalytics module with RealTimeMonitoring
try:
    monitoring.predictive_analytics = predictive_analytics
except Exception as e:
    logging.error(f"Error integrating PredictiveAnalytics module with RealTimeMonitoring: {e}")

# Integrate the MachineLearningAI module with RealTimeMonitoring
try:
    monitoring.machine_learning_ai = machine_learning_ai
except Exception as e:
    logging.error(f"Error integrating MachineLearningAI module with RealTimeMonitoring: {e}")

# Integrate the DataVisualization module with RealTimeMonitoring
try:
    monitoring.data_visualization = data_visualization
except Exception as e:
    logging.error(f"Error integrating DataVisualization module with RealTimeMonitoring: {e}")

# Integrate the CloudExploitation module with RealTimeMonitoring
try:
    monitoring.cloud_exploitation = cloud_exploitation
except Exception as e:
    logging.error(f"Error integrating CloudExploitation module with RealTimeMonitoring: {e}")

# Integrate the IoTExploitation module with RealTimeMonitoring
try:
    monitoring.iot_exploitation = iot_exploitation
except Exception as e:
    logging.error(f"Error integrating IoTExploitation module with RealTimeMonitoring: {e}")

# Integrate the QuantumComputing module with RealTimeMonitoring
try:
    monitoring.quantum_computing = quantum_computing
except Exception as e:
    logging.error(f"Error integrating QuantumComputing module with RealTimeMonitoring: {e}")

# Integrate the EdgeComputing module with RealTimeMonitoring
try:
    monitoring.edge_computing = edge_computing
except Exception as e:
    logging.error(f"Error integrating EdgeComputing module with RealTimeMonitoring: {e}")

# Integrate the ServerlessComputing module with RealTimeMonitoring
try:
    monitoring.serverless_computing = serverless_computing
except Exception as e:
    logging.error(f"Error integrating ServerlessComputing module with RealTimeMonitoring: {e}")

# Integrate the MicroservicesArchitecture module with RealTimeMonitoring
try:
    monitoring.microservices_architecture = microservices_architecture
except Exception as e:
    logging.error(f"Error integrating MicroservicesArchitecture module with RealTimeMonitoring: {e}")

# Integrate the CloudNativeApplications module with RealTimeMonitoring
try:
    monitoring.cloud_native_applications = cloud_native_applications
except Exception as e:
    logging.error(f"Error integrating CloudNativeApplications module with RealTimeMonitoring: {e}")

# Add tool tips and advanced help options for all functions
def add_tool_tips():
    tool_tips = {
        "advanced_threat_intelligence": "Provides advanced threat intelligence capabilities.",
        "predictive_analytics": "Utilizes predictive analytics for threat detection.",
        "automated_incident_response": "Automates incident response processes.",
        "ai_red_teaming": "AI-driven red teaming for security testing.",
        "apt_simulation": "Simulates advanced persistent threats.",
        "machine_learning_ai": "Machine learning-based AI for threat detection.",
        "data_visualization": "Visualizes data for better insights.",
        "blockchain_logger": "Logs data using blockchain technology.",
        "cloud_exploitation": "Exploits vulnerabilities in cloud environments.",
        "iot_exploitation": "Exploits vulnerabilities in IoT devices.",
        "quantum_computing": "Utilizes quantum computing for security.",
        "edge_computing": "Secures edge computing environments.",
        "serverless_computing": "Secures serverless computing environments.",
        "microservices_architecture": "Secures microservices architectures.",
        "cloud_native_applications": "Secures cloud-native applications.",
        "advanced_decryption": "Advanced decryption capabilities.",
        "advanced_malware_analysis": "Analyzes and detects advanced malware.",
        "advanced_social_engineering": "Detects and prevents social engineering attacks.",
        "alerts_notifications": "Sends alerts and notifications.",
        "device_fingerprinting": "Identifies devices using fingerprinting.",
        "exploit_payloads": "Manages exploit payloads.",
        "fuzzing_engine": "Fuzzing engine for vulnerability detection.",
        "mitm_stingray": "Manages MITM Stingray attacks.",
        "network_exploitation": "Exploits network vulnerabilities.",
        "vulnerability_scanner": "Scans for vulnerabilities.",
        "wireless_exploitation": "Exploits wireless vulnerabilities.",
        "zero_day_exploits": "Manages zero-day exploits."
    }
    return tool_tips

tool_tips = add_tool_tips()

# 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")

# Update the dashboard to display real-time insights and analytics
dashboard = pn.Column(
    "### Advanced Capabilities Dashboard",
    pn.pane.Markdown("Welcome to the Advanced Capabilities Dashboard. Here you can monitor and manage advanced security features."),
    advanced_threat_intelligence.render(),
    predictive_analytics.render(),
    automated_incident_response.render(),
    ai_red_teaming.render(),
    apt_simulation.render(),
    machine_learning_ai.render(),
    data_visualization.render(),
    blockchain_logger.render(),
    cloud_exploitation.render(),
    iot_exploitation.render(),
    quantum_computing.render(),
    edge_computing.render(),
    serverless_computing.render(),
    microservices_architecture.render(),
    cloud_native_applications.render(),
    advanced_decryption.render(),
    advanced_malware_analysis.render(),
    advanced_social_engineering.render(),
    alerts_notifications.render(),
    device_fingerprinting.render(),
    exploit_payloads.render(),
    fuzzing_engine.render(),
    mitm_stingray.render(),
    network_exploitation.render(),
    vulnerability_scanner.render(),
    wireless_exploitation.render(),
    zero_day_exploits.render(),
    code_parser.render(),
    pipeline_manager.render(),
    continue_button,
    download_button
)

main.append(dashboard)

# Implement best practices for integrating message queues
import pika

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:
        logging.error(f"Error setting up message queue: {e}")
        return None

def send_message(channel, message):
    try:
        channel.basic_publish(
            exchange='',
            routing_key='task_queue',
            body=message,
            properties=pika.BasicProperties(
                delivery_mode=2,  # make message persistent
            ))
        logging.info(f"Sent message: {message}")
    except Exception as e:
        logging.error(f"Error sending message: {e}")

def receive_message(channel):
    def callback(ch, method, properties, body):
        logging.info(f"Received message: {body}")
        ch.basic_ack(delivery_tag=method.delivery_tag)

    try:
        channel.basic_consume(queue='task_queue', on_message_callback=callback)
        logging.info('Waiting for messages. To exit press CTRL+C')
        channel.start_consuming()
    except Exception as e:
        logging.error(f"Error receiving message: {e}")

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:
        logging.error(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()
        logging.info(f"Sent message to Kafka topic {topic}: {message}")
    except Exception as e:
        logging.error(f"Error sending message to Kafka: {e}")

def receive_message_from_kafka(consumer):
    try:
        for message in consumer:
            logging.info(f"Received message from Kafka: {message.value.decode('utf-8')}")
    except Exception as e:
        logging.error(f"Error receiving message from Kafka: {e}")

# Integrate email spoofing techniques
def email_spoofing(target_email, spoofed_email, subject, message):
    try:
        return advanced_social_engineering.email_spoofing_attack(target_email, spoofed_email, subject, message)
    except Exception as e:
        logging.error(f"Error during email spoofing: {e}")
        return "Email spoofing failed."

# Integrate SMS spoofing techniques
def sms_spoofing(target_number, spoofed_number, message):
    try:
        return advanced_social_engineering.sms_spoofing_attack(target_number, spoofed_number, message)
    except Exception as e:
        logging.error(f"Error during SMS spoofing: {e}")
        return "SMS spoofing failed."

if __name__ == "__main__":
    channel = setup_message_queue()
    if channel:
        send_message(channel, "Test message")
        receive_message(channel)

    producer, consumer = setup_kafka()
    if producer and consumer:
        send_message_to_kafka(producer, 'my_topic', 'Test Kafka message')
        receive_message_from_kafka(consumer)