AI-Driven-Zero-Click-Exploit-Deployment-C2 / src /advanced_malware_analysis.py
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import logging
import subprocess
import os
import json
class AdvancedMalwareAnalysis:
def __init__(self):
self.sandbox_path = "/path/to/sandbox"
self.analysis_results = {}
def analyze_malware(self, malware_path):
logging.info(f"Analyzing malware: {malware_path}")
if "pegasus" in malware_path.lower():
self.analyze_pegasus_forcedentry(malware_path)
else:
self.run_sandbox(malware_path)
self.extract_behavioral_data(malware_path)
self.perform_reverse_engineering(malware_path)
return self.analysis_results
def analyze_pegasus_forcedentry(self, malware_path):
logging.info(f"Analyzing Pegasus ForcedEntry exploit: {malware_path}")
self.run_sandbox(malware_path)
self.extract_behavioral_data(malware_path)
self.perform_reverse_engineering(malware_path)
self.analysis_results["pegasus_forcedentry_analysis"] = "Detailed analysis of Pegasus ForcedEntry exploit"
def run_sandbox(self, malware_path):
logging.info(f"Running malware in sandbox: {malware_path}")
sandbox_command = f"{self.sandbox_path} {malware_path}"
try:
result = subprocess.run(sandbox_command, shell=True, check=True, capture_output=True, text=True)
self.analysis_results["sandbox_output"] = result.stdout
except subprocess.CalledProcessError as e:
logging.error(f"Sandbox execution failed: {e}")
self.analysis_results["sandbox_error"] = str(e)
def extract_behavioral_data(self, malware_path):
logging.info(f"Extracting behavioral data for: {malware_path}")
behavioral_data = {
"file_modifications": self.get_file_modifications(malware_path),
"network_activity": self.get_network_activity(malware_path),
"registry_changes": self.get_registry_changes(malware_path)
}
self.analysis_results["behavioral_data"] = behavioral_data
def get_file_modifications(self, malware_path):
# Implement logic to extract file modifications
file_modifications = []
try:
with open(malware_path, 'r') as file:
for line in file:
if "modification" in line:
file_modifications.append(line.strip())
except Exception as e:
logging.error(f"Error extracting file modifications: {e}")
return file_modifications
def get_network_activity(self, malware_path):
# Implement logic to extract network activity
network_activity = []
try:
with open(malware_path, 'r') as file:
for line in file:
if "network" in line:
network_activity.append(line.strip())
except Exception as e:
logging.error(f"Error extracting network activity: {e}")
return network_activity
def get_registry_changes(self, malware_path):
# Implement logic to extract registry changes
registry_changes = []
try:
with open(malware_path, 'r') as file:
for line in file:
if "registry" in line:
registry_changes.append(line.strip())
except Exception as e:
logging.error(f"Error extracting registry changes: {e}")
return registry_changes
def perform_reverse_engineering(self, malware_path):
logging.info(f"Performing reverse engineering on: {malware_path}")
reverse_engineering_data = {
"disassembled_code": self.get_disassembled_code(malware_path),
"strings": self.get_strings(malware_path),
"function_calls": self.get_function_calls(malware_path)
}
self.analysis_results["reverse_engineering_data"] = reverse_engineering_data
def get_disassembled_code(self, malware_path):
# Implement logic to disassemble code
disassembled_code = ""
try:
result = subprocess.run(["objdump", "-d", malware_path], capture_output=True, text=True)
disassembled_code = result.stdout
except Exception as e:
logging.error(f"Error disassembling code: {e}")
return disassembled_code
def get_strings(self, malware_path):
# Implement logic to extract strings
strings = []
try:
result = subprocess.run(["strings", malware_path], capture_output=True, text=True)
strings = result.stdout.splitlines()
except Exception as e:
logging.error(f"Error extracting strings: {e}")
return strings
def get_function_calls(self, malware_path):
# Implement logic to extract function calls
return []
def analyze_hak5_payload(self, payload_path):
logging.info(f"Analyzing Hak5 Ducky Script payload: {payload_path}")
self.run_sandbox(payload_path)
self.extract_behavioral_data(payload_path)
self.perform_reverse_engineering(payload_path)
return self.analysis_results
def render(self):
return "Advanced Malware Analysis Module: Ready to analyze malware, including sandboxing, reverse engineering, and behavioral analysis."
def integrate_with_new_components(self, new_component_data):
logging.info("Integrating with new components")
integrated_data = {
"new_component_behavioral_data": new_component_data.get("behavioral_data", {}),
"new_component_reverse_engineering_data": new_component_data.get("reverse_engineering_data", {})
}
self.analysis_results.update(integrated_data)
return self.analysis_results
def ensure_compatibility(self, existing_data, new_component_data):
logging.info("Ensuring compatibility with existing malware analysis logic")
compatible_data = {
"existing_behavioral_data": existing_data.get("behavioral_data", {}),
"existing_reverse_engineering_data": existing_data.get("reverse_engineering_data", {}),
"new_component_behavioral_data": new_component_data.get("behavioral_data", {}),
"new_component_reverse_engineering_data": new_component_data.get("reverse_engineering_data", {})
}
return compatible_data
def detect_sandbox_environment(self):
logging.info("Detecting sandbox environment")
sandbox_indicators = [
self.check_processes(),
self.check_files(),
self.check_registry_keys()
]
return any(sandbox_indicators)
def check_processes(self):
# Implement logic to check for sandbox-related processes
return False
def check_files(self):
# Implement logic to check for sandbox-related files
return False
def check_registry_keys(self):
# Implement logic to check for sandbox-related registry keys
return False
def escape_sandbox(self):
logging.info("Attempting to escape sandbox environment")
if self.detect_sandbox_environment():
self.perform_sandbox_escape()
def perform_sandbox_escape(self):
# Implement logic to escape sandbox environment
pass
def test_exploits_in_sandbox(self, exploit_path):
logging.info(f"Testing exploit in sandbox: {exploit_path}")
self.run_sandbox(exploit_path)
self.extract_behavioral_data(exploit_path)
self.perform_reverse_engineering(exploit_path)
return self.analysis_results
def ai_driven_automated_testing(self, exploit_paths):
logging.info("Starting AI-driven automated testing of exploits")
for exploit_path in exploit_paths:
self.test_exploits_in_sandbox(exploit_path)
return self.analysis_results
def detect_vm_environment(self):
logging.info("Detecting VM environment")
vm_indicators = [
self.check_vm_processes(),
self.check_vm_files(),
self.check_vm_registry_keys()
]
return any(vm_indicators)
def check_vm_processes(self):
# Implement logic to check for VM-related processes
return False
def check_vm_files(self):
# Implement logic to check for VM-related files
return False
def check_vm_registry_keys(self):
# Implement logic to check for VM-related registry keys
return False
def test_detection_techniques(self, malware_path):
logging.info(f"Testing detection techniques on: {malware_path}")
sandbox_detected = self.detect_sandbox_environment()
vm_detected = self.detect_vm_environment()
detection_results = {
"sandbox_detected": sandbox_detected,
"vm_detected": vm_detected
}
return detection_results
def fine_tune_detection_methods(self, malware_path):
logging.info(f"Fine-tuning detection methods for: {malware_path}")
detection_results = self.test_detection_techniques(malware_path)
# Implement logic to fine-tune detection methods based on results
return detection_results
def integrate_detection_techniques(self, malware_path):
logging.info(f"Integrating detection techniques for: {malware_path}")
detection_results = self.fine_tune_detection_methods(malware_path)
self.analysis_results.update(detection_results)
return self.analysis_results