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c2_dashboard.py
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import panel as pn
from database.models import DocumentAnalysis
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from modules.data_visualization import DataVisualization
from modules.advanced_device_control import AdvancedDeviceControl
from modules.real_time_monitoring import RealTimeMonitoring
DATABASE_URL = "sqlite:///document_analysis.db"
engine = create_engine(DATABASE_URL)
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
class C2Dashboard:
def render(self):
return pn.Column(
"### Command and Control Dashboard",
pn.pane.Markdown("Welcome to the C2 Dashboard. Here you can manage and monitor your operations."),
pn.pane.Markdown("#### Detailed Metrics and Insights"),
pn.widgets.DataFrame(name="Metrics Data"),
pn.pane.Markdown("#### Visualizations"),
pn.widgets.DataFrame(name="Assets Data"),
pn.pane.Markdown("#### Message Boards"),
pn.widgets.DataFrame(name="Message Board Data"),
pn.pane.Markdown("#### Announcements"),
pn.widgets.DataFrame(name="Announcements Data"),
pn.pane.Markdown("#### Latest News on Exploits"),
pn.widgets.DataFrame(name="Latest News Data"),
pn.pane.Markdown("#### AI Interface"),
pn.widgets.DataFrame(name="AI Interface Data"),
pn.pane.Markdown("#### System Connections"),
pn.widgets.DataFrame(name="System Connections Data"),
pn.pane.Markdown("#### Logs"),
pn.widgets.DataFrame(name="Logs Data"),
pn.pane.Markdown("#### System Status"),
pn.widgets.DataFrame(name="System Status Data"),
pn.pane.Markdown("#### System Settings"),
pn.widgets.DataFrame(name="System Settings Data"),
pn.pane.Markdown("#### Attack Simulations"),
pn.widgets.DataFrame(name="Attack Simulations Data"),
pn.pane.Markdown("#### Fuzzing"),
pn.widgets.DataFrame(name="Fuzzing Data"),
pn.pane.Markdown("#### Asset Control"),
pn.widgets.DataFrame(name="Asset Control Data"),
pn.pane.Markdown("#### Reverse Shell Settings"),
pn.widgets.DataFrame(name="Reverse Shell Settings Data"),
pn.pane.Markdown("#### Advanced Connection Methods"),
pn.widgets.DataFrame(name="Advanced Connection Methods Data"),
pn.pane.Markdown("#### Real-Time Threat Intelligence"),
pn.widgets.DataFrame(name="Real-Time Threat Intelligence Data"),
pn.pane.Markdown("#### Predictive Analytics"),
pn.widgets.DataFrame(name="Predictive Analytics Data"),
pn.pane.Markdown("#### Automated Incident Response"),
pn.widgets.DataFrame(name="Automated Incident Response Data"),
pn.pane.Markdown("#### AI Red Teaming"),
pn.widgets.DataFrame(name="AI Red Teaming Data"),
pn.pane.Markdown("#### Blockchain Logger"),
pn.widgets.DataFrame(name="Blockchain Logger Data"),
pn.pane.Markdown("#### Advanced Decryption"),
pn.widgets.DataFrame(name="Advanced Decryption Data"),
pn.pane.Markdown("#### Advanced Malware Analysis"),
pn.widgets.DataFrame(name="Advanced Malware Analysis Data"),
pn.pane.Markdown("#### Advanced Social Engineering"),
pn.widgets.DataFrame(name="Advanced Social Engineering Data"),
pn.pane.Markdown("#### Alerts and Notifications"),
pn.widgets.DataFrame(name="Alerts and Notifications Data"),
pn.pane.Markdown("#### APT Simulation"),
pn.widgets.DataFrame(name="APT Simulation Data"),
pn.pane.Markdown("#### Cloud Exploitation"),
pn.widgets.DataFrame(name="Cloud Exploitation Data"),
pn.pane.Markdown("#### Custom Dashboards"),
pn.widgets.DataFrame(name="Custom Dashboards Data"),
pn.pane.Markdown("#### Dark Web Scraper"),
pn.widgets.DataFrame(name="Dark Web Scraper Data"),
pn.pane.Markdown("#### Data Exfiltration"),
pn.widgets.DataFrame(name="Data Exfiltration Data"),
pn.pane.Markdown("#### Data Visualization"),
pn.widgets.DataFrame(name="Data Visualization Data"),
pn.pane.Markdown("#### Device Fingerprinting"),
pn.widgets.DataFrame(name="Device Fingerprinting Data"),
pn.pane.Markdown("#### Exploit Payloads"),
pn.widgets.DataFrame(name="Exploit Payloads Data"),
pn.pane.Markdown("#### Fuzzing Engine"),
pn.widgets.DataFrame(name="Fuzzing Engine Data"),
pn.pane.Markdown("#### IoT Exploitation"),
pn.widgets.DataFrame(name="IoT Exploitation Data"),
pn.pane.Markdown("#### Machine Learning AI"),
pn.widgets.DataFrame(name="Machine Learning AI Data"),
pn.pane.Markdown("#### MITM Stingray"),
pn.widgets.DataFrame(name="MITM Stingray Data"),
pn.pane.Markdown("#### Network Exploitation"),
pn.widgets.DataFrame(name="Network Exploitation Data"),
pn.pane.Markdown("#### Vulnerability Scanner"),
pn.widgets.DataFrame(name="Vulnerability Scanner Data"),
pn.pane.Markdown("#### Wireless Exploitation"),
pn.widgets.DataFrame(name="Wireless Exploitation Data"),
pn.pane.Markdown("#### Zero Day Exploits"),
pn.widgets.DataFrame(name="Zero Day Exploits Data"),
pn.pane.Markdown("#### Settings Dashboards"),
pn.widgets.DataFrame(name="Settings Dashboards Data"),
pn.pane.Markdown("#### Tool Tips and Advanced Help Options"),
pn.widgets.DataFrame(name="Tool Tips and Advanced Help Options Data")
)
def save_dashboard_to_db(self, source, title, links, error):
session = SessionLocal()
try:
dashboard_result = DocumentAnalysis(
source=source,
title=title,
links=links,
error=error
)
session.add(dashboard_result)
session.commit()
except Exception as e:
print(f"Error saving dashboard to database: {e}")
finally:
session.close()
class MITMStingrayDashboard:
def __init__(self, mitm_stingray):
self.mitm_stingray = mitm_stingray
self.intercepted_data = []
def start_interception(self, event):
self.mitm_stingray.start()
self.intercepted_data.append("Interception started")
def stop_interception(self, event):
self.mitm_stingray.stop()
self.intercepted_data.append("Interception stopped")
def render(self):
return pn.Column(
"### MITM Stingray Dashboard",
pn.pane.Markdown("Monitor and manage MITM Stingray operations."),
pn.widgets.Button(name="Start Interception", button_type="primary", on_click=self.start_interception),
pn.widgets.Button(name="Stop Interception", button_type="danger", on_click=self.stop_interception),
pn.widgets.DataFrame(self.intercepted_data, name="Intercepted Data")
)
if __name__ == "__main__":
dashboard = C2Dashboard()
try:
dashboard.save_dashboard_to_db("c2_dashboard.py", "C2 Dashboard", "[]", None)
print("Dashboard saved to database.")
except Exception as e:
print(f"Error during dashboard operation: {e}")