Download src/advanced_malware_analysis.py from dia-gov/AI-Driven-Zero-Click-Exploit-Deployment-C2: direct link, hf CLI and curl.
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https://huggingface.co/spaces/dia-gov/AI-Driven-Zero-Click-Exploit-Deployment-C2/resolve/main/src/advanced_malware_analysis.py
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hf download hf://spaces/dia-gov/AI-Driven-Zero-Click-Exploit-Deployment-C2/src/advanced_malware_analysis.py
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curl -L -o advanced_malware_analysis.py https://huggingface.co/spaces/dia-gov/AI-Driven-Zero-Click-Exploit-Deployment-C2/resolve/main/src/advanced_malware_analysis.py
9.48 kB
| 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 | |