#!/usr/bin/env python3 """ Exploitation Agent - Vulnerability exploitation and access gaining """ import json import logging from typing import Dict, List from core.llm_manager import LLMManager from tools.exploitation import ( ExploitDatabase, MetasploitWrapper, WebExploiter, SQLInjector, RCEExploiter, BufferOverflowExploiter ) logger = logging.getLogger(__name__) class ExploitationAgent: """Agent responsible for vulnerability exploitation""" def __init__(self, config: Dict): """Initialize exploitation agent""" self.config = config self.llm = LLMManager(config) self.exploit_db = ExploitDatabase(config) self.metasploit = MetasploitWrapper(config) self.web_exploiter = WebExploiter(config) self.sql_injector = SQLInjector(config) self.rce_exploiter = RCEExploiter(config) self.bof_exploiter = BufferOverflowExploiter(config) logger.info("ExploitationAgent initialized") def execute(self, target: str, context: Dict) -> Dict: """Execute exploitation phase""" logger.info(f"Starting exploitation on {target}") results = { "target": target, "status": "running", "successful_exploits": [], "failed_attempts": [], "shells_obtained": [], "credentials_found": [], "ai_recommendations": {} } try: # Get reconnaissance data from context recon_data = context.get("phases", {}).get("recon", {}) # Phase 1: Vulnerability Analysis logger.info("Phase 1: Analyzing vulnerabilities") vulnerabilities = self._identify_vulnerabilities(recon_data) # Phase 2: AI-powered Exploit Selection logger.info("Phase 2: AI exploit selection") exploit_plan = self._ai_exploit_planning(vulnerabilities, recon_data) results["ai_recommendations"] = exploit_plan # Phase 3: Execute Exploits logger.info("Phase 3: Executing exploits") for vuln in vulnerabilities[:5]: # Limit to top 5 vulnerabilities exploit_result = self._attempt_exploitation(vuln, target) if exploit_result.get("success"): results["successful_exploits"].append(exploit_result) logger.info(f"Successful exploit: {vuln.get('type')}") # Check for shell access if exploit_result.get("shell_access"): results["shells_obtained"].append(exploit_result["shell_info"]) else: results["failed_attempts"].append(exploit_result) # Phase 4: Post-Exploitation Intelligence if results["successful_exploits"]: logger.info("Phase 4: Post-exploitation intelligence gathering") results["post_exploit_intel"] = self._gather_post_exploit_intel( results["successful_exploits"] ) results["status"] = "completed" logger.info("Exploitation phase completed") except Exception as e: logger.error(f"Error during exploitation: {e}") results["status"] = "error" results["error"] = str(e) return results def _identify_vulnerabilities(self, recon_data: Dict) -> List[Dict]: """Identify exploitable vulnerabilities from recon data""" vulnerabilities = [] # Check network scan results network_scan = recon_data.get("network_scan", {}) for host, data in network_scan.get("hosts", {}).items(): for port in data.get("open_ports", []): vuln = { "type": "network_service", "host": host, "port": port.get("port"), "service": port.get("service"), "version": port.get("version") } vulnerabilities.append(vuln) # Check web vulnerabilities web_analysis = recon_data.get("web_analysis", {}) for vuln_type in ["sql_injection", "xss", "lfi", "rfi", "rce"]: if web_analysis.get(vuln_type): vulnerabilities.append({ "type": vuln_type, "details": web_analysis[vuln_type] }) return vulnerabilities def _ai_exploit_planning(self, vulnerabilities: List[Dict], recon_data: Dict) -> Dict: """Use AI to plan exploitation strategy""" prompt = self.llm.get_prompt( "exploitation", "ai_exploit_planning_user", default=f""" Plan an exploitation strategy based on the following data: Vulnerabilities Identified: {json.dumps(vulnerabilities, indent=2)} Reconnaissance Data: {json.dumps(recon_data, indent=2)} Provide: 1. Prioritized exploitation order 2. Recommended exploits for each vulnerability 3. Payload suggestions 4. Evasion techniques 5. Fallback strategies 6. Success probability estimates Response in JSON format with detailed exploitation roadmap. """ ) system_prompt = self.llm.get_prompt( "exploitation", "ai_exploit_planning_system", default="""You are an expert exploit developer and penetration tester. Create sophisticated exploitation plans considering detection, success rates, and impact. Prioritize stealthy, reliable exploits over noisy attempts.""" ) try: formatted_prompt = prompt.format( vulnerabilities_json=json.dumps(vulnerabilities, indent=2), recon_data_json=json.dumps(recon_data, indent=2) ) response = self.llm.generate(formatted_prompt, system_prompt) return json.loads(response) except Exception as e: logger.error(f"AI exploit planning error: {e}") return {"error": str(e)} def _attempt_exploitation(self, vulnerability: Dict, target: str) -> Dict: """Attempt to exploit a specific vulnerability""" vuln_type = vulnerability.get("type") result = { "vulnerability": vulnerability, "success": False, "method": None, "details": {} } try: if vuln_type == "sql_injection": result = self.sql_injector.exploit(target, vulnerability) elif vuln_type in ["xss", "csrf"]: result = self.web_exploiter.exploit(target, vulnerability) elif vuln_type in ["rce", "command_injection"]: result = self.rce_exploiter.exploit(target, vulnerability) elif vuln_type == "buffer_overflow": result = self.bof_exploiter.exploit(target, vulnerability) elif vuln_type == "network_service": result = self._exploit_network_service(target, vulnerability) else: # Use Metasploit for generic exploitation result = self.metasploit.exploit(target, vulnerability) except Exception as e: logger.error(f"Exploitation error for {vuln_type}: {e}") result["error"] = str(e) return result def _exploit_network_service(self, target: str, vulnerability: Dict) -> Dict: """Exploit network service vulnerabilities""" service = vulnerability.get("service", "").lower() # Check exploit database for known exploits exploits = self.exploit_db.search(service, vulnerability.get("version")) if exploits: logger.info(f"Found {len(exploits)} exploits for {service}") for exploit in exploits[:3]: # Try top 3 exploits result = self.metasploit.run_exploit( exploit["module"], target, vulnerability.get("port") ) if result.get("success"): return result return {"success": False, "message": "No suitable exploits found"} def _gather_post_exploit_intel(self, successful_exploits: List[Dict]) -> Dict: """Gather intelligence after successful exploitation""" intel = { "system_info": [], "user_accounts": [], "network_info": [], "installed_software": [], "credentials": [] } for exploit in successful_exploits: if exploit.get("shell_access"): shell = exploit["shell_info"] # Gather system information # This would execute actual commands on compromised system # Placeholder for demonstration intel["system_info"].append({ "os": "detected_os", "hostname": "detected_hostname", "architecture": "x64" }) return intel def generate_custom_exploit(self, vulnerability: Dict) -> str: """Generate custom exploit using AI""" target_info = { "vulnerability": vulnerability, "requirements": "Create working exploit code" } return self.llm.generate_payload(target_info, vulnerability.get("type"))