Project-Red-Sword / chatbot /chatbot.py
dia-gov's picture
Upload 28 files
f2fe5ce verified
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")