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