AI-Driven-Zero-Click-Exploit-Deployment-C2 / src /real_time_threat_intelligence.py
dia-gov's picture
Upload 102 files
2f3c093 verified
import aiohttp
import asyncio
from modules.blockchain_logger import BlockchainLogger
from modules.threat_intelligence import ThreatIntelligence
class RealTimeThreatIntelligence:
def __init__(self, api_key):
self.api_key = api_key
self.base_url = "https://api.threatintelligence.com/v1"
self.blockchain_logger = BlockchainLogger()
self.threat_intelligence = ThreatIntelligence()
async def fetch_threat_data(self, endpoint):
headers = {"Authorization": f"Bearer {self.api_key}"}
async with aiohttp.ClientSession() as session:
async with session.get(f"{self.base_url}/{endpoint}", headers=headers) as response:
data = await response.json()
self.blockchain_logger.log_action(f"Fetched threat data from {endpoint}")
return data
async def get_latest_threats(self):
return await self.fetch_threat_data("latest-threats")
async def get_threat_by_id(self, threat_id):
return await self.fetch_threat_data(f"threats/{threat_id}")
def analyze_threats(self, threats):
analyzed_threats = sorted(threats, key=lambda x: x["severity"], reverse=True)
for threat in analyzed_threats:
threat["risk_score"] = self.calculate_risk_score(threat)
self.blockchain_logger.log_action("Analyzed threats")
return analyzed_threats
def calculate_risk_score(self, threat):
base_score = threat["severity"] * 10
if threat["type"] == "malware":
base_score += 5
elif threat["type"] == "phishing":
base_score += 3
return base_score
async def update_attack_simulations(self):
latest_threats = await self.get_latest_threats()
analyzed_threats = self.analyze_threats(latest_threats)
updated_simulations = self.generate_attack_simulations(analyzed_threats)
self.blockchain_logger.log_action("Updated attack simulations")
return updated_simulations
def generate_attack_simulations(self, threats):
simulations = []
for threat in threats:
if threat["risk_score"] > 80:
simulations.append("High-Risk Attack Simulation")
elif threat["risk_score"] > 50:
simulations.append("Medium-Risk Attack Simulation")
else:
simulations.append("Low-Risk Attack Simulation")
self.blockchain_logger.log_action("Generated attack simulations")
return simulations
async def integrate_with_new_components(self, new_component_data):
latest_threats = await self.threat_intelligence.get_threat_intelligence()
analyzed_threats = self.threat_intelligence.process_data(latest_threats)
updated_simulations = self.generate_attack_simulations(analyzed_threats)
return updated_simulations
def ensure_compatibility(self, existing_data, new_component_data):
compatible_data = {
"existing_data": existing_data,
"new_component_data": new_component_data
}
return compatible_data
# For detailed plans on future implementations, please refer to the `future_implementations_plan.md` file.