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app.py

@@ -1,1624 +1,293 @@
-#!/usr/bin/env python3
 """
-Cyber-LLM: Advanced Adversarial AI Operations Center
-Real-world cybersecurity AI platform with multi-agent architecture, threat intelligence,
-red team automation, and advanced persistent threat simulation capabilities.
-
-Author: Muzan Sano ([email protected])
-Project: Advanced Cybersecurity AI Research Platform
+Cyber-LLM: Advanced Cybersecurity AI Operations Center
+Clean minimal version for HuggingFace Spaces deployment
 """
 
-from fastapi import FastAPI, HTTPException, UploadFile, File
+from fastapi import FastAPI, HTTPException
 from fastapi.responses import HTMLResponse, JSONResponse
 from pydantic import BaseModel
-from typing import Dict, List, Any, Optional
+from typing import Dict, List, Any
 import os
 import json
-from datetime import datetime, timedelta
-import logging
-import random
-import re
-import hashlib
-import ipaddress
-
-# Configure logging
-logging.basicConfig(level=logging.INFO)
-logger = logging.getLogger(__name__)
+from datetime import datetime
 
-# Initialize FastAPI app
+# Create FastAPI app
 app = FastAPI(
-    title="Cyber-LLM: Advanced Adversarial AI Operations Center",
-    description="""
-    🛡️ **Cyber-LLM Advanced Operations Platform**
-    
-    Real-world cybersecurity AI with multi-agent architecture featuring:
-    • **Advanced Persistent Threat (APT) Simulation**
-    • **Multi-Agent Red Team Orchestration** 
-    • **Real-time Threat Intelligence & IoC Analysis**
-    • **Automated Vulnerability Assessment & Exploitation**
-    • **OPSEC-aware Attack Chain Generation**
-    • **Neural-Symbolic Reasoning for Complex Scenarios**
-    • **Adversarial AI Training & Defense Mechanisms**
-    
-    Built for security professionals, red teamers, and cybersecurity researchers.
-    """,
-    version="3.0.0-ADVANCED",
-    docs_url="/docs",
-    redoc_url="/redoc"
+    title="Cyber-LLM Operations Center",
+    description="Advanced Cybersecurity AI Platform",
+    version="2.0.0"
 )
 
-# Pydantic models for realistic cybersecurity operations
-class ThreatIntelRequest(BaseModel):
-    ioc_type: str  # ip, domain, hash, url
-    indicator: str
-    analysis_depth: Optional[str] = "standard"
-
-class UnifiedTargetRequest(BaseModel):
+# Data Models
+class TargetAnalysisRequest(BaseModel):
     target: str
-    target_type: Optional[str] = "auto_detect"  # auto_detect, ip, domain, url, file_hash, network_range
-    analysis_scope: Optional[str] = "comprehensive"  # quick, standard, comprehensive, deep
-    operation_mode: Optional[str] = "analysis"  # analysis, red_team, threat_hunt, vulnerability_scan
+    analysis_type: str = "comprehensive"
 
-class TargetAnalysisResponse(BaseModel):
-    target_id: str
-    target: str
-    target_type: str
+class ThreatResponse(BaseModel):
     threat_level: str
-    confidence_score: float
-    analysis_results: Dict[str, Any]
-    recommendations: List[str]
-    timestamp: str
+    confidence: float
+    analysis: Dict[str, Any]
 
-class VulnerabilityAssessment(BaseModel):
-    target_type: str  # network, application, system
-    scan_type: str   # quick, comprehensive, targeted
-    target_info: str
-
-class IncidentResponse(BaseModel):
-    incident_type: str
-    severity: str
-    description: str
-    affected_systems: List[str]
-
-class LogAnalysisRequest(BaseModel):
-    log_data: str
-    log_type: str  # firewall, ids, system, application
-    time_range: Optional[str] = "24h"
-
-# Advanced Threat Intelligence Database - Real-world IOCs and TTPs
-ADVANCED_THREAT_INTELLIGENCE = {
+# Threat Intelligence Database
+THREAT_INTELLIGENCE = {
     "apt_groups": {
-        "APT1": {"country": "China", "targets": ["Government", "Defense"], "ttps": ["Spearphishing", "Backdoors"]},
-        "APT28": {"country": "Russia", "targets": ["Government", "Military"], "ttps": ["Credential Harvesting", "Lateral Movement"]}, 
-        "APT29": {"country": "Russia", "targets": ["Government", "Healthcare"], "ttps": ["Supply Chain", "Living off Land"]},
-        "Lazarus": {"country": "North Korea", "targets": ["Financial", "Cryptocurrency"], "ttps": ["Destructive Malware", "Financial Theft"]},
-        "APT40": {"country": "China", "targets": ["Maritime", "Research"], "ttps": ["Web Shells", "Credential Dumping"]}
+        "APT29": {"name": "Cozy Bear", "origin": "Russia", "active": True},
+        "APT28": {"name": "Fancy Bear", "origin": "Russia", "active": True},
+        "Lazarus": {"name": "Hidden Cobra", "origin": "North Korea", "active": True}
     },
-    "malicious_ips": [
-        {"ip": "45.148.10.200", "reputation": "C2", "apt": "APT28", "first_seen": "2024-01-15"},
-        {"ip": "103.41.124.47", "reputation": "Malware", "apt": "Lazarus", "first_seen": "2024-02-03"},
-        {"ip": "185.220.101.182", "reputation": "Phishing", "apt": "APT1", "first_seen": "2024-01-28"},
-        {"ip": "194.147.85.214", "reputation": "Botnet", "apt": "APT29", "first_seen": "2024-02-10"}
-    ],
-    "malware_families": {
-        "Cobalt Strike": {"type": "RAT", "techniques": ["Process Injection", "Lateral Movement"]},
-        "Mimikatz": {"type": "Credential Theft", "techniques": ["LSASS Dumping", "Golden Ticket"]},
-        "BloodHound": {"type": "Recon", "techniques": ["AD Enumeration", "Privilege Escalation Paths"]},
-        "Empire": {"type": "Post-Exploitation", "techniques": ["PowerShell", "WMI"]},
-        "Metasploit": {"type": "Exploitation Framework", "techniques": ["Exploit Delivery", "Payload Generation"]}
-    },
-    "attack_techniques": {
-        "T1566.001": {"name": "Spearphishing Attachment", "tactic": "Initial Access"},
-        "T1059.003": {"name": "Windows Command Shell", "tactic": "Execution"},
-        "T1055": {"name": "Process Injection", "tactic": "Defense Evasion"},
-        "T1003.001": {"name": "LSASS Memory", "tactic": "Credential Access"},
-        "T1021.001": {"name": "Remote Desktop Protocol", "tactic": "Lateral Movement"},
-        "T1041": {"name": "Exfiltration Over C2 Channel", "tactic": "Exfiltration"}
-    },
-    "suspicious_domains": [
-        {"domain": "microsoft-update-security.com", "type": "Phishing", "similarity": "microsoft.com"},
-        {"domain": "secure-banking-portal.net", "type": "Financial Fraud", "similarity": "banking portals"},
-        {"domain": "admin-panel-login.org", "type": "Credential Harvesting", "similarity": "admin portals"},
-        {"domain": "cloud-storage-sync.info", "type": "Data Exfiltration", "similarity": "cloud services"}
-    ],
-    "vulnerabilities": [
-        {"cve": "CVE-2024-21412", "severity": "CRITICAL", "score": 9.8, "type": "RCE", "vendor": "Microsoft Exchange"},
-        {"cve": "CVE-2024-3400", "severity": "CRITICAL", "score": 10.0, "type": "Command Injection", "vendor": "Palo Alto"},
-        {"cve": "CVE-2024-1086", "severity": "HIGH", "score": 8.2, "type": "Privilege Escalation", "vendor": "Linux Kernel"},
-        {"cve": "CVE-2024-20767", "severity": "HIGH", "score": 7.8, "type": "Authentication Bypass", "vendor": "Cisco"}
-    ]
-}
-
-# Red Team Attack Simulation Framework
-RED_TEAM_SCENARIOS = {
-    "initial_access": [
-        {"technique": "T1566.001", "name": "Spearphishing Attachment", "success_rate": 0.65},
-        {"technique": "T1190", "name": "Exploit Public-Facing Application", "success_rate": 0.45},
-        {"technique": "T1133", "name": "External Remote Services", "success_rate": 0.35},
-        {"technique": "T1078", "name": "Valid Accounts", "success_rate": 0.85}
-    ],
-    "execution": [
-        {"technique": "T1059.003", "name": "Windows Command Shell", "success_rate": 0.90},
-        {"technique": "T1059.001", "name": "PowerShell", "success_rate": 0.85},
-        {"technique": "T1053.005", "name": "Scheduled Task", "success_rate": 0.70},
-        {"technique": "T1106", "name": "Native API", "success_rate": 0.60}
-    ],
-    "persistence": [
-        {"technique": "T1547.001", "name": "Registry Run Keys", "success_rate": 0.75},
-        {"technique": "T1053", "name": "Scheduled Task/Job", "success_rate": 0.80},
-        {"technique": "T1543.003", "name": "Windows Service", "success_rate": 0.65},
-        {"technique": "T1078", "name": "Valid Accounts", "success_rate": 0.85}
-    ]
+    "iocs": ["malicious-domain.com", "[email protected]", "192.168.1.100"]
 }
 
-def generate_realistic_threat_data():
-    """Generate realistic threat intelligence data"""
-    return {
-        "active_threats": random.randint(15, 45),
-        "blocked_attacks": random.randint(120, 350),
-        "compromised_systems": random.randint(0, 5),
-        "critical_vulnerabilities": random.randint(2, 12),
-        "threat_level": random.choice(["LOW", "MEDIUM", "HIGH", "CRITICAL"]),
-        "last_update": datetime.now().strftime("%Y-%m-%d %H:%M:%S")
-    }
-
-def detect_target_type(target: str):
-    """Advanced target type detection with comprehensive analysis"""
-    target = target.strip()
-    
-    # IP Address detection
-    try:
-        ipaddress.ip_address(target)
-        return "ip_address"
-    except ValueError:
-        pass
-    
-    # Network range detection (CIDR)
-    try:
-        ipaddress.ip_network(target, strict=False)
-        return "network_range"
-    except ValueError:
-        pass
-    
-    # Hash detection (MD5, SHA1, SHA256, SHA512)
-    if re.match(r'^[a-fA-F0-9]{32}$', target):
-        return "md5_hash"
-    elif re.match(r'^[a-fA-F0-9]{40}$', target):
-        return "sha1_hash"
-    elif re.match(r'^[a-fA-F0-9]{64}$', target):
-        return "sha256_hash"
-    elif re.match(r'^[a-fA-F0-9]{128}$', target):
-        return "sha512_hash"
-    
-    # URL detection
-    if target.startswith(('http://', 'https://', 'ftp://', 'ftps://')):
-        return "url"
-    
-    # Domain detection
-    domain_pattern = r'^([a-zA-Z0-9]([a-zA-Z0-9\-]{0,61}[a-zA-Z0-9])?\.)+[a-zA-Z]{2,}$'
-    if re.match(domain_pattern, target):
-        return "domain"
-    
-    # Email detection
-    email_pattern = r'^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$'
-    if re.match(email_pattern, target):
-        return "email"
-    
-    # File path detection (Windows/Linux)
-    if ('\\' in target and ':' in target) or target.startswith('/'):
-        return "file_path"
-    
-    # Registry key detection
-    if target.startswith(('HKEY_', 'HKLM\\', 'HKCU\\', 'HKCR\\')):
-        return "registry_key"
-    
-    # Process name/command detection
-    if target.endswith('.exe') or '\\' in target or '/' in target:
-        return "process_indicator"
-    
-    return "unknown"
-
-def comprehensive_target_analysis(target: str, target_type: str, analysis_scope: str):
-    """Comprehensive analysis of any target type with realistic intelligence"""
-    analysis_id = f"TARGET-{datetime.now().strftime('%Y%m%d-%H%M%S')}"
-    
-    base_analysis = {
-        "target_id": analysis_id,
-        "target": target,
-        "target_type": target_type,
-        "analysis_timestamp": datetime.now().isoformat(),
-        "confidence_score": 0.5,
-        "threat_level": "UNKNOWN",
-        "analysis_scope": analysis_scope
-    }
-    
-    # IP Address Analysis
-    if target_type == "ip_address":
-        try:
-            ip = ipaddress.ip_address(target)
-            
-            # Check against threat intelligence
-            for threat_ip in ADVANCED_THREAT_INTELLIGENCE["malicious_ips"]:
-                if target == threat_ip["ip"]:
-                    base_analysis.update({
-                        "threat_level": "HIGH",
-                        "confidence_score": 0.95,
-                        "reputation": "MALICIOUS",
-                        "apt_attribution": threat_ip.get("apt"),
-                        "threat_categories": [threat_ip["reputation"]],
-                        "first_seen": threat_ip["first_seen"],
-                        "geolocation": {"country": "Unknown", "region": "Unknown"},
-                        "network_analysis": {
-                            "open_ports": [80, 443, 22, 3389] if random.random() > 0.5 else [],
-                            "services": ["HTTP", "HTTPS", "SSH"] if random.random() > 0.6 else [],
-                            "vulnerabilities": random.randint(0, 5)
-                        }
-                    })
-                    break
-            else:
-                if ip.is_private:
-                    base_analysis.update({
-                        "threat_level": "LOW",
-                        "confidence_score": 0.3,
-                        "reputation": "INTERNAL",
-                        "network_segment": "Private Network"
-                    })
-                else:
-                    base_analysis.update({
-                        "threat_level": "MEDIUM",
-                        "confidence_score": 0.4,
-                        "reputation": "UNKNOWN",
-                        "requires_investigation": True
-                    })
-        except Exception as e:
-            base_analysis["error"] = f"IP analysis failed: {str(e)}"
-    
-    # Domain Analysis
-    elif target_type == "domain":
-        for threat_domain in ADVANCED_THREAT_INTELLIGENCE["suspicious_domains"]:
-            if target.lower() == threat_domain["domain"].lower():
-                base_analysis.update({
-                    "threat_level": "HIGH",
-                    "confidence_score": 0.92,
-                    "reputation": "MALICIOUS",
-                    "threat_categories": [threat_domain["type"]],
-                    "dns_analysis": {
-                        "a_records": ["192.168.1.100"],
-                        "mx_records": ["mail.suspicious-domain.com"],
-                        "txt_records": ["v=spf1 include:_spf.google.com ~all"]
-                    },
-                    "similarity_analysis": {
-                        "legitimate_target": threat_domain["similarity"],
-                        "typosquatting_score": 0.85
-                    }
-                })
-                break
-        else:
-            base_analysis.update({
-                "threat_level": "LOW" if any(trusted in target for trusted in ["google", "microsoft", "amazon"]) else "MEDIUM",
-                "confidence_score": 0.6,
-                "reputation": "UNKNOWN",
-                "domain_age": f"{random.randint(30, 3650)} days",
-                "registrar": "Unknown Registrar"
-            })
-    
-    # Hash Analysis
-    elif target_type in ["md5_hash", "sha1_hash", "sha256_hash", "sha512_hash"]:
-        # Check against malware families
-        malware_families = list(ADVANCED_THREAT_INTELLIGENCE["malware_families"].keys())
-        if random.random() > 0.3:  # 70% chance of finding match
-            family = random.choice(malware_families)
-            family_info = ADVANCED_THREAT_INTELLIGENCE["malware_families"][family]
-            base_analysis.update({
-                "threat_level": "CRITICAL",
-                "confidence_score": 0.98,
-                "reputation": "MALICIOUS",
-                "malware_family": family,
-                "malware_type": family_info["type"],
-                "techniques": family_info["techniques"],
-                "file_analysis": {
-                    "file_size": f"{random.randint(1024, 10485760)} bytes",
-                    "file_type": "PE32 executable",
-                    "compilation_timestamp": (datetime.now() - timedelta(days=random.randint(1, 365))).strftime("%Y-%m-%d"),
-                    "entropy": round(random.uniform(6.5, 7.9), 2),
-                    "suspicious_strings": ["cmd.exe", "powershell.exe", "reg.exe"]
-                }
-            })
-        else:
-            base_analysis.update({
-                "threat_level": "LOW",
-                "confidence_score": 0.2,
-                "reputation": "UNKNOWN",
-                "hash_not_found": True
-            })
-    
-    # URL Analysis
-    elif target_type == "url":
-        if any(suspicious in target.lower() for suspicious in ["login", "secure", "update", "verify", "account"]):
-            base_analysis.update({
-                "threat_level": "HIGH",
-                "confidence_score": 0.85,
-                "reputation": "SUSPICIOUS",
-                "threat_categories": ["Phishing", "Credential Harvesting"],
-                "url_analysis": {
-                    "redirects": random.randint(0, 3),
-                    "suspicious_parameters": ["token", "redirect", "login"],
-                    "ssl_certificate": "Invalid" if random.random() > 0.3 else "Valid",
-                    "content_type": "text/html"
-                }
-            })
-        else:
-            base_analysis.update({
-                "threat_level": "MEDIUM",
-                "confidence_score": 0.5,
-                "reputation": "UNKNOWN"
-            })
-    
-    # Generate recommendations based on analysis
-    recommendations = []
-    if base_analysis.get("threat_level") == "CRITICAL":
-        recommendations.extend([
-            "IMMEDIATE ACTION REQUIRED - Isolate affected systems",
-            "Block IOC at network perimeter (firewall/proxy)",
-            "Initiate incident response procedures",
-            "Conduct forensic analysis of affected systems"
-        ])
-    elif base_analysis.get("threat_level") == "HIGH":
-        recommendations.extend([
-            "HIGH PRIORITY - Monitor for additional indicators",
-            "Implement enhanced logging for related activity",
-            "Consider blocking at security controls",
-            "Brief security team on threat intelligence"
-        ])
-    else:
-        recommendations.extend([
-            "Continue monitoring for suspicious activity",
-            "Add to watch list for future correlation",
-            "Review in context of other security events"
-        ])
-    
-    base_analysis["recommendations"] = recommendations
-    return base_analysis
-
-def analyze_network_ioc(indicator: str, ioc_type: str):
-    """Legacy IOC analysis function - maintained for compatibility"""
-    analysis = {
-        "indicator": indicator,
-        "type": ioc_type,
-        "reputation": "UNKNOWN",
-        "threat_types": [],
-        "apt_attribution": None,
-        "ttps": [],
-        "first_seen": None,
-        "last_seen": None,
-        "confidence": 0.5
-    }
-    
-    if ioc_type == "ip":
-        try:
-            ip = ipaddress.ip_address(indicator)
-            if ip.is_private:
-                analysis["reputation"] = "INTERNAL"
-                analysis["threat_types"] = ["Internal Network"]
-            else:
-                # Check against advanced threat intel
-                for threat_ip in ADVANCED_THREAT_INTELLIGENCE["malicious_ips"]:
-                    if indicator == threat_ip["ip"]:
-                        analysis["reputation"] = "MALICIOUS"
-                        analysis["threat_types"] = [threat_ip["reputation"]]
-                        analysis["apt_attribution"] = threat_ip.get("apt")
-                        analysis["first_seen"] = threat_ip["first_seen"]
-                        analysis["confidence"] = 0.95
-                        
-                        # Add APT TTPs
-                        if analysis["apt_attribution"]:
-                            apt_info = ADVANCED_THREAT_INTELLIGENCE["apt_groups"].get(analysis["apt_attribution"])
-                            if apt_info:
-                                analysis["ttps"] = apt_info["ttps"]
-                        break
-        except ValueError:
-            analysis["reputation"] = "INVALID"
-    
-    elif ioc_type == "domain":
-        for threat_domain in ADVANCED_THREAT_INTELLIGENCE["suspicious_domains"]:
-            if indicator.lower() == threat_domain["domain"].lower():
-                analysis["reputation"] = "MALICIOUS"
-                analysis["threat_types"] = [threat_domain["type"]]
-                analysis["confidence"] = 0.92
-                break
-        
-        # Check for suspicious patterns
-        if any(bad in indicator.lower() for bad in ["malware", "phish", "bot", "hack", "c2", "panel"]):
-            if analysis["reputation"] == "UNKNOWN":
-                analysis["reputation"] = "SUSPICIOUS"
-                analysis["threat_types"] = ["Potentially Malicious Domain"]
-                analysis["confidence"] = 0.75
-    
-    elif ioc_type == "hash":
-        # Simulate hash analysis against malware families
-        malware_families = list(ADVANCED_THREAT_INTELLIGENCE["malware_families"].keys())
-        if len(indicator) in [32, 40, 64]:  # MD5, SHA1, SHA256 lengths
-            analysis["reputation"] = "SUSPICIOUS"
-            analysis["threat_types"] = [random.choice(malware_families)]
-            analysis["confidence"] = 0.85
-            
-            # Add technique information
-            family = analysis["threat_types"][0]
-            family_info = ADVANCED_THREAT_INTELLIGENCE["malware_families"].get(family)
-            if family_info:
-                analysis["ttps"] = family_info["techniques"]
-    
-    elif ioc_type == "url":
-        # URL analysis
-        if any(suspicious in indicator.lower() for suspicious in ["login", "secure", "update", "verify"]):
-            analysis["reputation"] = "SUSPICIOUS"
-            analysis["threat_types"] = ["Phishing", "Credential Harvesting"]
-            analysis["confidence"] = 0.70
-    
-    # Set default timestamps if not already set
-    if not analysis["first_seen"]:
-        analysis["first_seen"] = (datetime.now() - timedelta(days=random.randint(1, 90))).strftime("%Y-%m-%d")
-    analysis["last_seen"] = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
-    
-    return analysis
-    """Advanced IOC analysis with APT attribution and TTPs"""
-    analysis = {
-        "indicator": indicator,
-        "type": ioc_type,
-        "reputation": "UNKNOWN",
-        "threat_types": [],
-        "apt_attribution": None,
-        "ttps": [],
-        "first_seen": None,
-        "last_seen": None,
-        "confidence": 0.5
-    }
-    
-    if ioc_type == "ip":
-        try:
-            ip = ipaddress.ip_address(indicator)
-            if ip.is_private:
-                analysis["reputation"] = "INTERNAL"
-                analysis["threat_types"] = ["Internal Network"]
-            else:
-                # Check against advanced threat intel
-                for threat_ip in ADVANCED_THREAT_INTELLIGENCE["malicious_ips"]:
-                    if indicator == threat_ip["ip"]:
-                        analysis["reputation"] = "MALICIOUS"
-                        analysis["threat_types"] = [threat_ip["reputation"]]
-                        analysis["apt_attribution"] = threat_ip.get("apt")
-                        analysis["first_seen"] = threat_ip["first_seen"]
-                        analysis["confidence"] = 0.95
-                        
-                        # Add APT TTPs
-                        if analysis["apt_attribution"]:
-                            apt_info = ADVANCED_THREAT_INTELLIGENCE["apt_groups"].get(analysis["apt_attribution"])
-                            if apt_info:
-                                analysis["ttps"] = apt_info["ttps"]
-                        break
-        except ValueError:
-            analysis["reputation"] = "INVALID"
-    
-    elif ioc_type == "domain":
-        for threat_domain in ADVANCED_THREAT_INTELLIGENCE["suspicious_domains"]:
-            if indicator.lower() == threat_domain["domain"].lower():
-                analysis["reputation"] = "MALICIOUS"
-                analysis["threat_types"] = [threat_domain["type"]]
-                analysis["confidence"] = 0.92
-                break
-        
-        # Check for suspicious patterns
-        if any(bad in indicator.lower() for bad in ["malware", "phish", "bot", "hack", "c2", "panel"]):
-            if analysis["reputation"] == "UNKNOWN":
-                analysis["reputation"] = "SUSPICIOUS"
-                analysis["threat_types"] = ["Potentially Malicious Domain"]
-                analysis["confidence"] = 0.75
-    
-    elif ioc_type == "hash":
-        # Simulate hash analysis against malware families
-        malware_families = list(ADVANCED_THREAT_INTELLIGENCE["malware_families"].keys())
-        if len(indicator) in [32, 40, 64]:  # MD5, SHA1, SHA256 lengths
-            analysis["reputation"] = "SUSPICIOUS"
-            analysis["threat_types"] = [random.choice(malware_families)]
-            analysis["confidence"] = 0.85
-            
-            # Add technique information
-            family = analysis["threat_types"][0]
-            family_info = ADVANCED_THREAT_INTELLIGENCE["malware_families"].get(family)
-            if family_info:
-                analysis["ttps"] = family_info["techniques"]
-    
-    elif ioc_type == "url":
-        # URL analysis
-        if any(suspicious in indicator.lower() for suspicious in ["login", "secure", "update", "verify"]):
-            analysis["reputation"] = "SUSPICIOUS"
-            analysis["threat_types"] = ["Phishing", "Credential Harvesting"]
-            analysis["confidence"] = 0.70
+@app.get("/", response_class=HTMLResponse)
+async def dashboard():
+    """Main cybersecurity operations dashboard"""
     
-    # Set default timestamps if not already set
-    if not analysis["first_seen"]:
-        analysis["first_seen"] = (datetime.now() - timedelta(days=random.randint(1, 90))).strftime("%Y-%m-%d")
-    analysis["last_seen"] = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+    apt_count = len(THREAT_INTELLIGENCE['apt_groups'])
+    ioc_count = len(THREAT_INTELLIGENCE['iocs'])
     
-    return analysis
-
-@app.get("/", response_class=HTMLResponse)
-async def cyber_operations_dashboard():
-    """Advanced Cybersecurity Operations Dashboard"""
     html_content = """
     <!DOCTYPE html>
-    <html>
+    <html lang="en">
     <head>
-        <title>Cyber-LLM Operations Center</title>
         <meta charset="UTF-8">
         <meta name="viewport" content="width=device-width, initial-scale=1.0">
+        <title>🛡️ Cyber-LLM Operations Center</title>
         <style>
             * { margin: 0; padding: 0; box-sizing: border-box; }
             body { 
                 font-family: 'Courier New', monospace; 
-                background: #0a0a0a; 
+                background: linear-gradient(135deg, #0a0a0a, #1a1a2e);
                 color: #00ff00; 
-                line-height: 1.4;
-                overflow-x: auto;
-            }
-            .container { max-width: 1400px; margin: 0 auto; padding: 20px; }
-            
-            .header { 
-                background: linear-gradient(135deg, #1a1a1a, #2a2a2a);
-                padding: 20px; 
-                border-radius: 12px; 
-                margin-bottom: 20px;
-                border: 2px solid #333;
-                box-shadow: 0 4px 8px rgba(0,255,0,0.1);
-            }
-            
-            .status-grid { 
-                display: grid; 
-                grid-template-columns: repeat(auto-fit, minmax(280px, 1fr)); 
-                gap: 15px; 
-                margin-bottom: 25px;
+                min-height: 100vh;
+                padding: 20px;
             }
-            
-            .status-card { 
-                background: #1a1a1a; 
-                padding: 15px; 
-                border-radius: 8px;
-                border: 1px solid #333;
-                transition: all 0.3s ease;
+            .container { 
+                max-width: 1200px; 
+                margin: 0 auto; 
+                background: rgba(0, 0, 0, 0.8);
+                border: 2px solid #00ff00;
+                border-radius: 15px;
+                padding: 30px;
             }
-            .status-card:hover { 
-                border-color: #00ff00;
-                box-shadow: 0 2px 10px rgba(0,255,0,0.2);
+            h1 { 
+                color: #ff0040; 
+                text-align: center; 
+                margin-bottom: 30px; 
+                font-size: 2.5em;
+                text-shadow: 0 0 10px #ff0040;
             }
-            
-            .main-grid { 
+            .stats-grid { 
                 display: grid; 
-                grid-template-columns: 1fr 1fr; 
+                grid-template-columns: repeat(auto-fit, minmax(250px, 1fr)); 
                 gap: 20px; 
-                margin-bottom: 25px;
+                margin-bottom: 30px; 
             }
-            
-            .panel { 
-                background: #1a1a1a; 
+            .stat-card { 
+                background: rgba(0, 255, 0, 0.1); 
+                border: 1px solid #00ff00; 
+                border-radius: 10px; 
                 padding: 20px; 
-                border-radius: 12px;
-                border: 1px solid #333;
-                height: fit-content;
-            }
-            
-            .tools-grid { 
-                display: grid; 
-                grid-template-columns: repeat(auto-fit, minmax(300px, 1fr)); 
-                gap: 20px;
+                text-align: center;
             }
-            
-            .tool-panel { 
-                background: #1a1a1a; 
+            .stat-value { color: #00ffff; font-size: 2em; font-weight: bold; }
+            .section { 
+                background: rgba(255, 0, 64, 0.1); 
+                border: 1px solid #ff0040; 
+                border-radius: 10px; 
                 padding: 20px; 
-                border-radius: 12px;
-                border: 1px solid #333;
+                margin: 20px 0; 
             }
-            
-            .green { color: #00ff00; }
-            .cyan { color: #00ffff; }
-            .yellow { color: #ffff00; }
-            .red { color: #ff4444; }
-            .orange { color: #ff8800; }
-            
-            input, textarea, select { 
-                background: #2a2a2a; 
-                color: #00ff00; 
-                border: 1px solid #444; 
-                padding: 8px; 
-                border-radius: 4px;
-                width: 100%;
-                margin: 5px 0;
+            .section h2 { color: #ff0040; margin-bottom: 15px; }
+            .threat-list { list-style: none; }
+            .threat-list li { 
+                background: rgba(0, 255, 255, 0.1); 
+                margin: 5px 0; 
+                padding: 10px; 
+                border-radius: 5px; 
+                border-left: 3px solid #00ffff;
             }
-            
-            button { 
-                background: #003300; 
+            .input-group { margin: 10px 0; }
+            .input-group input { 
+                width: 70%; 
+                padding: 10px; 
+                background: #1a1a2e; 
                 color: #00ff00; 
-                border: 1px solid #006600; 
+                border: 1px solid #00ff00; 
+                border-radius: 5px;
+            }
+            .btn { 
+                background: #ff0040; 
+                color: white; 
+                border: none; 
                 padding: 10px 20px; 
                 border-radius: 5px; 
-                cursor: pointer;
-                transition: all 0.2s ease;
+                cursor: pointer; 
+                font-family: 'Courier New', monospace;
             }
-            button:hover { 
-                background: #004400;
-                box-shadow: 0 2px 8px rgba(0,255,0,0.3);
-            }
-            
-            .result { 
-                background: #002200; 
+            .btn:hover { background: #cc0033; }
+            .result-box { 
+                background: rgba(0, 0, 0, 0.5); 
+                border: 1px solid #00ffff; 
+                border-radius: 5px; 
                 padding: 15px; 
-                border-radius: 8px; 
-                margin: 10px 0;
-                border-left: 4px solid #00ff00;
-            }
-            
-            .threat-high { color: #ff4444; }
-            .threat-medium { color: #ffaa00; }
-            .threat-low { color: #ffff00; }
-            .threat-info { color: #00ffff; }
-            
-            .log-entry { 
-                font-family: monospace; 
-                font-size: 12px; 
-                padding: 5px; 
-                margin: 2px 0;
-                border-left: 3px solid #333;
-                padding-left: 10px;
-            }
-            
-            .metric { text-align: center; }
-            .metric-value { font-size: 24px; font-weight: bold; }
-            .metric-label { font-size: 12px; opacity: 0.8; }
-            
-            @media (max-width: 768px) {
-                .main-grid { grid-template-columns: 1fr; }
-                .status-grid { grid-template-columns: 1fr; }
-                .tools-grid { grid-template-columns: 1fr; }
+                margin: 10px 0; 
+                display: none;
             }
+            .status-online { color: #00ff00; }
+            .status-warning { color: #ffff00; }
+            .status-critical { color: #ff0040; }
         </style>
     </head>
     <body>
         <div class="container">
-            <!-- Header -->
-            <div class="header">
-                <h1 class="green">🛡️ CYBER-LLM: ADVANCED ADVERSARIAL AI OPERATIONS CENTER</h1>
-                <p class="cyan">Multi-Agent Cybersecurity AI Platform | Red Team Automation | Advanced Persistent Threat Simulation</p>
-                <p class="yellow">
-                    <span class="green">◉ OPERATIONAL</span> | 
-                    Threat Level: <span id="currentThreatLevel">LOADING...</span> | 
-                    Active APT Groups: <span class="orange">5</span> |
-                    Neural Models: <span class="green">ONLINE</span> |
-                    Last Intel Update: <span id="lastUpdate">LOADING...</span>
-                </p>
-                <div style="margin-top: 10px; font-size: 12px;">
-                    <span class="cyan">⚡ Real-time Threat Intelligence</span> | 
-                    <span class="yellow">🎯 Red Team Orchestration</span> | 
-                    <span class="green">🧠 Neural-Symbolic Reasoning</span>
-                </div>
-            </div>
-
-            <!-- Advanced Status Overview -->
-            <div class="status-grid">
-                <div class="status-card">
-                    <div class="metric">
-                        <div class="metric-value red" id="activeThreats">--</div>
-                        <div class="metric-label">🚨 ACTIVE THREATS</div>
-                    </div>
-                </div>
-                <div class="status-card">
-                    <div class="metric">
-                        <div class="metric-value green" id="blockedAttacks">--</div>
-                        <div class="metric-label">⚔️ BLOCKED ATTACKS</div>
-                    </div>
-                </div>
-                <div class="status-card">
-                    <div class="metric">
-                        <div class="metric-value orange" id="compromisedSystems">--</div>
-                        <div class="metric-label">💀 COMPROMISED SYSTEMS</div>
-                    </div>
-                </div>
-                <div class="status-card">
-                    <div class="metric">
-                        <div class="metric-value yellow" id="criticalVulns">--</div>
-                        <div class="metric-label">⚠️ CRITICAL CVEs</div>
-                    </div>
-                </div>
-                <div class="status-card">
-                    <div class="metric">
-                        <div class="metric-value cyan" id="aptActivity">5</div>
-                        <div class="metric-label">🎭 APT GROUPS TRACKED</div>
-                    </div>
+            <h1>🛡️ CYBER-LLM OPERATIONS CENTER</h1>
+            
+            <div class="stats-grid">
+                <div class="stat-card">
+                    <div class="stat-value">""" + str(apt_count) + """</div>
+                    <div>APT Groups Tracked</div>
                 </div>
-                <div class="status-card">
-                    <div class="metric">
-                        <div class="metric-value green" id="malwareFamilies">12</div>
-                        <div class="metric-label">🦠 MALWARE FAMILIES</div>
-                    </div>
+                <div class="stat-card">
+                    <div class="stat-value">""" + str(ioc_count) + """</div>
+                    <div>IOCs Monitored</div>
                 </div>
-                <div class="status-card">
-                    <div class="metric">
-                        <div class="metric-value yellow" id="redTeamOps">3</div>
-                        <div class="metric-label">🎯 ACTIVE RED TEAM OPS</div>
-                    </div>
+                <div class="stat-card">
+                    <div class="stat-value status-online">ONLINE</div>
+                    <div>System Status</div>
                 </div>
-                <div class="status-card">
-                    <div class="metric">
-                        <div class="metric-value cyan" id="aiAgents">6</div>
-                        <div class="metric-label">🤖 AI AGENTS ONLINE</div>
-                    </div>
+                <div class="stat-card">
+                    <div class="stat-value">97.3%</div>
+                    <div>Detection Rate</div>
                 </div>
             </div>
 
-            <!-- Advanced Operations Panels -->
-            <div class="main-grid">
-                <div class="panel">
-                    <h2 class="cyan">🎯 UNIFIED TARGET INTELLIGENCE</h2>
-                    <p class="green">Single entry point for comprehensive target analysis - IP, domain, hash, URL, or file</p>
-                    <form id="unifiedTargetForm">
-                        <label class="green">Research Target:</label>
-                        <input type="text" id="targetInput" placeholder="Enter: IP (192.168.1.1), domain (example.com), hash (d41d8cd98f00...), URL, file path, or email" style="width: 100%; margin: 8px 0;">
-                        
-                        <div style="display: grid; grid-template-columns: 1fr 1fr; gap: 10px; margin: 10px 0;">
-                            <div>
-                                <label class="green">Target Type:</label>
-                                <select id="targetType">
-                                    <option value="auto_detect">🔍 Auto-Detect</option>
-                                    <option value="ip_address">🌐 IP Address</option>
-                                    <option value="domain">🔗 Domain/FQDN</option>
-                                    <option value="url">🌍 URL</option>
-                                    <option value="file_hash">📋 File Hash</option>
-                                    <option value="email">📧 Email Address</option>
-                                    <option value="network_range">🔀 Network Range</option>
-                                </select>
-                            </div>
-                            <div>
-                                <label class="green">Analysis Scope:</label>
-                                <select id="analysisScope">
-                                    <option value="quick">⚡ Quick Scan</option>
-                                    <option value="standard">📊 Standard Analysis</option>
-                                    <option value="comprehensive">🔍 Comprehensive</option>
-                                    <option value="deep">🧠 Deep Neural Analysis</option>
-                                </select>
-                            </div>
-                        </div>
-                        
-                        <div style="margin: 10px 0;">
-                            <label class="green">Operation Mode:</label>
-                            <select id="operationMode" style="width: 100%;">
-                                <option value="analysis">🔍 Intelligence Analysis</option>
-                                <option value="threat_hunt">🎯 Proactive Threat Hunt</option>
-                                <option value="red_team">⚔️ Red Team Assessment</option>
-                                <option value="vulnerability_scan">🛡️ Vulnerability Research</option>
-                            </select>
-                        </div>
-                        
-                        <button type="button" onclick="analyzeUnifiedTarget()" style="width: 100%; margin-top: 15px;">
-                            🎯 INITIATE COMPREHENSIVE ANALYSIS
-                        </button>
-                    </form>
-                    <div id="unifiedTargetResult" class="result" style="display: none;"></div>
-                </div>
-
-                <div class="panel">
-                    <h2 class="cyan">🚨 INTELLIGENT INCIDENT RESPONSE</h2>
-                    <p class="green">Advanced incident classification with automated response coordination</p>
-                    <form id="incidentForm">
-                        <label class="green">Incident Classification:</label>
-                        <select id="incidentType">
-                            <option value="apt_intrusion">🎭 APT Intrusion</option>
-                            <option value="malware_infection">🦠 Malware Infection</option>
-                            <option value="data_breach">💀 Data Breach</option>
-                            <option value="ransomware">🔐 Ransomware Attack</option>
-                            <option value="insider_threat">👤 Insider Threat</option>
-                            <option value="supply_chain">🔗 Supply Chain Attack</option>
-                            <option value="zero_day">⚡ Zero-Day Exploit</option>
-                        </select>
-                        <label class="green">Threat Severity:</label>
-                        <select id="severity">
-                            <option value="critical">🔴 CRITICAL - Nation State</option>
-                            <option value="high">🟠 HIGH - Advanced Threat</option>
-                            <option value="medium">🟡 MEDIUM - Standard Threat</option>
-                            <option value="low">🟢 LOW - Opportunistic</option>
-                        </select>
-                        <label class="green">Incident Intelligence:</label>
-                        <textarea id="incidentDesc" rows="4" placeholder="Describe attack vectors, IOCs, affected systems, timeline, and observed TTPs..."></textarea>
-                        <button type="button" onclick="processIncident()">🚨 INITIATE RESPONSE PROTOCOL</button>
-                    </form>
-                    <div id="incidentResult" class="result" style="display: none;"></div>
+            <div class="section">
+                <h2>🎯 TARGET ANALYSIS</h2>
+                <div class="input-group">
+                    <input type="text" id="targetInput" placeholder="Enter IP, domain, hash, or IOC..." />
+                    <button class="btn" onclick="analyzeTarget()">🔍 ANALYZE</button>
                 </div>
+                <div id="analysisResult" class="result-box"></div>
             </div>
 
-            <!-- Advanced Security Operations Tools -->
-            <div class="tools-grid">
-                <div class="tool-panel">
-                    <h3 class="yellow">🔒 NEURAL VULNERABILITY ASSESSMENT</h3>
-                    <p style="font-size: 11px; color: #888;">AI-powered vulnerability discovery with exploit prediction</p>
-                    <form id="vulnScanForm">
-                        <select id="scanType">
-                            <option value="neural_deep">🧠 Neural Deep Scan</option>
-                            <option value="apt_focused">🎭 APT-Focused Assessment</option>
-                            <option value="zero_day">⚡ Zero-Day Discovery</option>
-                            <option value="lateral_movement">↔️ Lateral Movement Analysis</option>
-                        </select>
-                        <input type="text" id="scanTarget" placeholder="Target: IP, CIDR, domain, or network segment">
-                        <button type="button" onclick="runVulnScan()">🔍 INITIATE SCAN</button>
-                    </form>
-                    <div id="vulnScanResult" class="result" style="display: none;"></div>
-                </div>
-
-                <div class="tool-panel">
-                    <h3 class="yellow">📊 INTELLIGENT LOG ANALYSIS</h3>
-                    <p style="font-size: 11px; color: #888;">ML-powered anomaly detection and attack pattern recognition</p>
-                    <form id="logAnalysisForm">
-                        <select id="logType">
-                            <option value="siem">🔍 SIEM Events</option>
-                            <option value="edr">🛡️ EDR Telemetry</option>
-                            <option value="network">🌐 Network Flow Logs</option>
-                            <option value="dns">📡 DNS Query Logs</option>
-                            <option value="auth">🔐 Authentication Events</option>
-                        </select>
-                        <textarea id="logData" rows="4" placeholder="Paste security logs, SIEM events, or EDR telemetry..."></textarea>
-                        <button type="button" onclick="analyzeLogData()">📊 ANALYZE PATTERNS</button>
-                    </form>
-                    <div id="logAnalysisResult" class="result" style="display: none;"></div>
-                </div>
-
-                <div class="tool-panel">
-                    <h3 class="yellow">🎯 RED TEAM ORCHESTRATION</h3>
-                    <p style="font-size: 11px; color: #888;">Automated adversary simulation with MITRE ATT&CK mapping</p>
-                    <form id="redTeamForm">
-                        <select id="attackTactic">
-                            <option value="initial_access">🚪 Initial Access</option>
-                            <option value="execution">⚡ Execution</option>
-                            <option value="persistence">🔄 Persistence</option>
-                            <option value="privilege_escalation">⬆️ Privilege Escalation</option>
-                            <option value="lateral_movement">↔️ Lateral Movement</option>
-                            <option value="exfiltration">📤 Data Exfiltration</option>
-                        </select>
-                        <select id="aptEmulation">
-                            <option value="apt28">🎭 APT28 (Fancy Bear)</option>
-                            <option value="apt29">🐻 APT29 (Cozy Bear)</option>
-                            <option value="apt1">🐉 APT1 (Comment Crew)</option>
-                            <option value="lazarus">💀 Lazarus Group</option>
-                            <option value="custom">🎯 Custom Scenario</option>
-                        </select>
-                        <input type="text" id="redTeamTarget" placeholder="Simulation environment or target range">
-                        <button type="button" onclick="launchRedTeamOp()">🎯 LAUNCH OPERATION</button>
-                    </form>
-                    <div id="redTeamResult" class="result" style="display: none;"></div>
-                </div>
-
-                <div class="tool-panel">
-                    <h3 class="yellow">🧠 AI AGENT ORCHESTRATOR</h3>
-                    <p style="font-size: 11px; color: #888;">Multi-agent cybersecurity AI coordination and task management</p>
-                    <div style="margin: 10px 0;">
-                        <div class="green" style="font-size: 12px;">🤖 Active Agents:</div>
-                        <div style="margin: 5px 0; font-size: 11px;">
-                            <span class="cyan">• Reconnaissance Agent</span> - <span class="green">ONLINE</span><br>
-                            <span class="cyan">• Exploitation Agent</span> - <span class="green">ONLINE</span><br>
-                            <span class="cyan">• Post-Exploit Agent</span> - <span class="green">ONLINE</span><br>
-                            <span class="cyan">• Safety Agent</span> - <span class="green">MONITORING</span><br>
-                            <span class="cyan">• Orchestrator Agent</span> - <span class="green">COORDINATING</span><br>
-                            <span class="cyan">• Intel Agent</span> - <span class="green">ANALYZING</span>
-                        </div>
-                    </div>
-                    <button type="button" onclick="viewAgentStatus()">👥 VIEW AGENT MATRIX</button>
-                    <button type="button" onclick="orchestrateAgents()">� ORCHESTRATE MISSION</button>
-                </div>
-
-                <div class="tool-panel">
-                    <h3 class="yellow">📡 THREAT HUNTING</h3>
-                    <p style="font-size: 11px; color: #888;">Proactive threat hunting with behavioral analysis</p>
-                    <form id="huntingForm">
-                        <select id="huntingType">
-                            <option value="apt_behavior">🎭 APT Behavior Patterns</option>
-                            <option value="living_off_land">🏠 Living-off-the-Land</option>
-                            <option value="insider_threat">👤 Insider Threat Indicators</option>
-                            <option value="supply_chain">🔗 Supply Chain Anomalies</option>
-                        </select>
-                        <input type="text" id="huntingScope" placeholder="Hunt scope: network, endpoints, or specific systems">
-                        <button type="button" onclick="launchThreatHunt()">🔍 INITIATE HUNT</button>
-                    </form>
-                    <div id="huntingResult" class="result" style="display: none;"></div>
-                </div>
+            <div class="section">
+                <h2>🏴‍☠️ ACTIVE APT GROUPS</h2>
+                <ul class="threat-list">
+                    <li><strong>APT29 (Cozy Bear)</strong> - 🇷🇺 Russia | Active Threat Actor</li>
+                    <li><strong>APT28 (Fancy Bear)</strong> - 🇷🇺 Russia | Advanced Persistent Threat</li>
+                    <li><strong>Lazarus (Hidden Cobra)</strong> - 🇰🇵 North Korea | Financial Focus</li>
+                </ul>
+            </div>
 
-                <div class="tool-panel">
-                    <h3 class="yellow">📈 ADVANCED API ACCESS</h3>
-                    <p style="font-size: 11px; color: #888;">Programmatic access to Cyber-LLM capabilities</p>
-                    <ul style="font-size: 12px; line-height: 1.6;">
-                        <li><a href="/docs" class="cyan">📚 Interactive API Documentation</a></li>
-                        <li><a href="/health" class="cyan">💚 System Health & Status</a></li>
-                        <li><a href="/threat_intelligence" class="cyan">🔍 Threat Intel API</a></li>
-                        <li><a href="/vulnerability_scan" class="cyan">🔒 Vulnerability Assessment API</a></li>
-                        <li><a href="/red_team_api" class="cyan">🎯 Red Team Operations API</a></li>
-                        <li><a href="/ai_agents" class="cyan">🤖 AI Agent Management API</a></li>
-                    </ul>
-                    <div style="margin-top: 10px;">
-                        <button type="button" onclick="exportThreatIntel()">📁 EXPORT THREAT INTEL</button>
-                        <button type="button" onclick="generateReport()">📊 GENERATE REPORT</button>
-                    </div>
-                </div>
+            <div class="section">
+                <h2>⚡ RECENT INTELLIGENCE</h2>
+                <ul class="threat-list">
+                    <li>🚨 New campaign targeting financial institutions detected</li>
+                    <li>🔍 Suspicious domain activity: malicious-banking.com</li>
+                    <li>⚠️ Zero-day vulnerability in web frameworks identified</li>
+                    <li>🛡️ Defensive countermeasures updated</li>
+                </ul>
             </div>
         </div>
 
         <script>
-            // Auto-refresh threat data every 30 seconds
-            setInterval(updateThreatOverview, 30000);
-            
-            // Initial load
-            updateThreatOverview();
-
-            async function updateThreatOverview() {
-                try {
-                    const response = await fetch('/threat_overview');
-                    const data = await response.json();
-                    
-                    document.getElementById('activeThreats').textContent = data.active_threats;
-                    document.getElementById('blockedAttacks').textContent = data.blocked_attacks;
-                    document.getElementById('compromisedSystems').textContent = data.compromised_systems;
-                    document.getElementById('criticalVulns').textContent = data.critical_vulnerabilities;
-                    document.getElementById('currentThreatLevel').textContent = data.threat_level;
-                    document.getElementById('currentThreatLevel').className = getThreatLevelClass(data.threat_level);
-                    document.getElementById('lastUpdate').textContent = data.last_update;
-                } catch (error) {
-                    console.error('Failed to update threat overview:', error);
-                }
-            }
-
-            function getThreatLevelClass(level) {
-                const classes = {
-                    'CRITICAL': 'red',
-                    'HIGH': 'orange', 
-                    'MEDIUM': 'yellow',
-                    'LOW': 'green'
-                };
-                return classes[level] || 'green';
-            }
-
-            async function analyzeUnifiedTarget() {
+            async function analyzeTarget() {
                 const target = document.getElementById('targetInput').value;
-                const targetType = document.getElementById('targetType').value;
-                const analysisScope = document.getElementById('analysisScope').value;
-                const operationMode = document.getElementById('operationMode').value;
-                
-                if (!target.trim()) {
-                    alert('Please enter a target to analyze (IP, domain, hash, URL, file, etc.)');
+                if (!target) {
+                    alert('Please enter a target to analyze');
                     return;
                 }
-                
-                try {
-                    const response = await fetch('/analyze_target', {
-                        method: 'POST',
-                        headers: { 'Content-Type': 'application/json' },
-                        body: JSON.stringify({
-                            target: target,
-                            target_type: targetType,
-                            analysis_scope: analysisScope,
-                            operation_mode: operationMode
-                        })
-                    });
-                    
-                    const result = await response.json();
-                    
-                    let analysisDetails = '';
-                    const analysisResults = result.analysis_results;
-                    
-                    // APT Attribution
-                    if (analysisResults.apt_attribution) {
-                        analysisDetails += `<p><span class="yellow">🎭 APT Attribution:</span> <span class="red">${analysisResults.apt_attribution}</span></p>`;
-                    }
-                    
-                    // Threat Categories
-                    if (analysisResults.threat_categories) {
-                        analysisDetails += `<p><span class="yellow">🏷️ Threat Categories:</span> <span class="orange">${analysisResults.threat_categories.join(', ')}</span></p>`;
-                    }
-                    
-                    // Malware Family
-                    if (analysisResults.malware_family) {
-                        analysisDetails += `<p><span class="yellow">🦠 Malware Family:</span> <span class="red">${analysisResults.malware_family}</span></p>`;
-                        if (analysisResults.techniques) {
-                            analysisDetails += `<p><span class="yellow">⚔️ Techniques:</span> <span class="orange">${analysisResults.techniques.join(', ')}</span></p>`;
-                        }
-                    }
-                    
-                    // Network Analysis
-                    if (analysisResults.network_analysis) {
-                        const network = analysisResults.network_analysis;
-                        analysisDetails += `<div style="margin-top: 10px; padding: 8px; background: #001122; border-radius: 4px;">`;
-                        analysisDetails += `<span class="cyan">🌐 Network Analysis:</span><br>`;
-                        if (network.open_ports && network.open_ports.length > 0) {
-                            analysisDetails += `<span class="yellow">Open Ports:</span> <span class="green">${network.open_ports.join(', ')}</span><br>`;
-                        }
-                        if (network.services && network.services.length > 0) {
-                            analysisDetails += `<span class="yellow">Services:</span> <span class="green">${network.services.join(', ')}</span><br>`;
-                        }
-                        if (network.vulnerabilities !== undefined) {
-                            analysisDetails += `<span class="yellow">Vulnerabilities:</span> <span class="${network.vulnerabilities > 0 ? 'red' : 'green'}">${network.vulnerabilities}</span>`;
-                        }
-                        analysisDetails += `</div>`;
-                    }
-                    
-                    // File Analysis
-                    if (analysisResults.file_analysis) {
-                        const file = analysisResults.file_analysis;
-                        analysisDetails += `<div style="margin-top: 10px; padding: 8px; background: #220011; border-radius: 4px;">`;
-                        analysisDetails += `<span class="cyan">📋 File Analysis:</span><br>`;
-                        analysisDetails += `<span class="yellow">Size:</span> <span class="green">${file.file_size}</span><br>`;
-                        analysisDetails += `<span class="yellow">Type:</span> <span class="green">${file.file_type}</span><br>`;
-                        if (file.entropy) {
-                            analysisDetails += `<span class="yellow">Entropy:</span> <span class="${file.entropy > 7.0 ? 'red' : 'green'}">${file.entropy}</span><br>`;
-                        }
-                        if (file.suspicious_strings) {
-                            analysisDetails += `<span class="yellow">Suspicious Strings:</span> <span class="orange">${file.suspicious_strings.join(', ')}</span>`;
-                        }
-                        analysisDetails += `</div>`;
-                    }
-                    
-                    // URL Analysis
-                    if (analysisResults.url_analysis) {
-                        const url = analysisResults.url_analysis;
-                        analysisDetails += `<div style="margin-top: 10px; padding: 8px; background: #112200; border-radius: 4px;">`;
-                        analysisDetails += `<span class="cyan">🌍 URL Analysis:</span><br>`;
-                        analysisDetails += `<span class="yellow">SSL Certificate:</span> <span class="${url.ssl_certificate === 'Invalid' ? 'red' : 'green'}">${url.ssl_certificate}</span><br>`;
-                        if (url.redirects) {
-                            analysisDetails += `<span class="yellow">Redirects:</span> <span class="${url.redirects > 2 ? 'red' : 'green'}">${url.redirects}</span><br>`;
-                        }
-                        if (url.suspicious_parameters) {
-                            analysisDetails += `<span class="yellow">Suspicious Parameters:</span> <span class="orange">${url.suspicious_parameters.join(', ')}</span>`;
-                        }
-                        analysisDetails += `</div>`;
-                    }
-                    
-                    document.getElementById('unifiedTargetResult').innerHTML = `
-                        <h4 class="cyan">🎯 COMPREHENSIVE TARGET ANALYSIS</h4>
-                        <p><span class="yellow">Target:</span> <span class="green">${result.target}</span></p>
-                        <p><span class="yellow">Type:</span> <span class="green">${result.target_type.toUpperCase().replace('_', ' ')}</span></p>
-                        <p><span class="yellow">Threat Level:</span> <span class="${getThreatLevelClass(result.threat_level)}">${result.threat_level}</span></p>
-                        <p><span class="yellow">Confidence:</span> <span class="green">${(result.confidence_score * 100).toFixed(1)}%</span></p>
-                        <p><span class="yellow">Analysis ID:</span> <span class="cyan">${result.target_id}</span></p>
-                        
-                        ${analysisDetails}
-                        
-                        <div style="margin-top: 15px;">
-                            <h5 class="cyan">🎯 RECOMMENDATIONS:</h5>
-                            <ul>${result.recommendations.map(rec => '<li class="green">• ' + rec + '</li>').join('')}</ul>
-                        </div>
-                        
-                        <div style="margin-top: 10px; padding: 10px; background: #001100; border-radius: 5px;">
-                            <span class="cyan">🧠 Analysis completed using advanced neural-symbolic reasoning and real-time threat intelligence</span>
-                        </div>
-                    `;
-                    document.getElementById('unifiedTargetResult').style.display = 'block';
-                } catch (error) {
-                    alert('Target analysis failed: ' + error.message);
-                }
-            }
 
-            function getThreatLevelClass(level) {
-                const classes = {
-                    'CRITICAL': 'red',
-                    'HIGH': 'orange', 
-                    'MEDIUM': 'yellow',
-                    'LOW': 'green',
-                    'UNKNOWN': 'cyan'
-                };
-                return classes[level] || 'yellow';
-            }
+                const resultDiv = document.getElementById('analysisResult');
+                resultDiv.innerHTML = '<div style="color: #ffff00;">🔄 Analyzing target...</div>';
+                resultDiv.style.display = 'block';
 
-            async function analyzeThreatIntel() {
-                const iocType = document.getElementById('iocType').value;
-                const indicator = document.getElementById('indicator').value;
-                const analysisDepth = document.getElementById('analysisDepth').value;
-                
-                if (!indicator.trim()) {
-                    alert('Please enter an indicator to analyze');
-                    return;
-                }
-                
                 try {
-                    const response = await fetch('/analyze_threat_intel', {
+                    const response = await fetch('/analyze', {
                         method: 'POST',
                         headers: { 'Content-Type': 'application/json' },
-                        body: JSON.stringify({
-                            ioc_type: iocType,
-                            indicator: indicator,
-                            analysis_depth: analysisDepth
-                        })
+                        body: JSON.stringify({ target: target, analysis_type: 'comprehensive' })
                     });
-                    
-                    const result = await response.json();
-                    
-                    let aptInfo = '';
-                    if (result.apt_attribution) {
-                        aptInfo = `<p><span class="yellow">APT Attribution:</span> <span class="red">${result.apt_attribution}</span></p>`;
-                    }
-                    
-                    let ttpsInfo = '';
-                    if (result.ttps && result.ttps.length > 0) {
-                        ttpsInfo = `<p><span class="yellow">TTPs:</span> <span class="orange">${result.ttps.join(', ')}</span></p>`;
-                    }
-                    
-                    document.getElementById('threatIntelResult').innerHTML = `
-                        <h4 class="cyan">🔍 ADVANCED THREAT INTELLIGENCE ANALYSIS</h4>
-                        <p><span class="yellow">Indicator:</span> <span class="green">${result.indicator}</span></p>
-                        <p><span class="yellow">Type:</span> <span class="green">${result.type.toUpperCase()}</span></p>
-                        <p><span class="yellow">Reputation:</span> <span class="${getReputationClass(result.reputation)}">${result.reputation}</span></p>
-                        <p><span class="yellow">Confidence:</span> <span class="green">${(result.confidence * 100).toFixed(1)}%</span></p>
-                        ${aptInfo}
-                        <p><span class="yellow">Threat Categories:</span> <span class="orange">${result.threat_types.join(', ')}</span></p>
-                        ${ttpsInfo}
-                        <p><span class="yellow">First Observed:</span> <span class="green">${result.first_seen || 'Unknown'}</span></p>
-                        <p><span class="yellow">Last Activity:</span> <span class="green">${result.last_seen}</span></p>
-                        <div style="margin-top: 10px; padding: 10px; background: #001100; border-radius: 5px;">
-                            <span class="cyan">🧠 Neural Analysis: Advanced pattern matching and behavioral analysis completed</span>
-                        </div>
-                    `;
-                    document.getElementById('threatIntelResult').style.display = 'block';
-                } catch (error) {
-                    alert('Threat intelligence analysis failed: ' + error.message);
-                }
-            }
-
-            function getReputationClass(reputation) {
-                const classes = {
-                    'MALICIOUS': 'red',
-                    'SUSPICIOUS': 'orange',
-                    'UNKNOWN': 'yellow',
-                    'CLEAN': 'green',
-                    'INTERNAL': 'cyan'
-                };
-                return classes[reputation] || 'yellow';
-            }
 
-            async function processIncident() {
-                const incidentType = document.getElementById('incidentType').value;
-                const severity = document.getElementById('severity').value;
-                const description = document.getElementById('incidentDesc').value;
-                
-                if (!description.trim()) {
-                    alert('Please provide incident description');
-                    return;
-                }
-                
-                try {
-                    const response = await fetch('/incident_response', {
-                        method: 'POST',
-                        headers: { 'Content-Type': 'application/json' },
-                        body: JSON.stringify({
-                            incident_type: incidentType,
-                            severity: severity,
-                            description: description,
-                            affected_systems: ['system-01', 'server-02']
-                        })
-                    });
-                    
                     const result = await response.json();
                     
-                    document.getElementById('incidentResult').innerHTML = `
-                        <h4 class="cyan">INCIDENT RESPONSE PLAN</h4>
-                        <p><span class="yellow">Incident ID:</span> <span class="green">${result.incident_id}</span></p>
-                        <p><span class="yellow">Priority:</span> <span class="${getSeverityClass(result.priority)}">${result.priority}</span></p>
-                        <p><span class="yellow">Response Team:</span> <span class="green">${result.response_team}</span></p>
-                        <p><span class="yellow">Immediate Actions:</span></p>
-                        <ul>${result.immediate_actions.map(action => '<li class="green">' + action + '</li>').join('')}</ul>
-                        <p><span class="yellow">Timeline:</span> <span class="cyan">${result.estimated_resolution}</span></p>
+                    resultDiv.innerHTML = `
+                        <h3 style="color: #00ffff;">🎯 Analysis Results</h3>
+                        <p><strong>Target:</strong> ${target}</p>
+                        <p><strong>Threat Level:</strong> <span class="status-${result.threat_level}">${result.threat_level.toUpperCase()}</span></p>
+                        <p><strong>Confidence:</strong> ${(result.confidence * 100).toFixed(1)}%</p>
+                        <p><strong>Type:</strong> ${result.analysis.type}</p>
+                        <p><strong>Description:</strong> ${result.analysis.description}</p>
+                        <p><strong>Recommendations:</strong> ${result.analysis.recommendations}</p>
                     `;
-                    document.getElementById('incidentResult').style.display = 'block';
                 } catch (error) {
-                    alert('Incident processing failed: ' + error.message);
-                }
-            }
-
-            function getSeverityClass(severity) {
-                const classes = {
-                    'CRITICAL': 'red',
-                    'HIGH': 'orange',
-                    'MEDIUM': 'yellow',
-                    'LOW': 'green'
-                };
-                return classes[severity] || 'yellow';
-            }
-
-            async function runVulnScan() {
-                const scanType = document.getElementById('scanType').value;
-                const target = document.getElementById('scanTarget').value;
-                
-                if (!target.trim()) {
-                    alert('Please specify scan target');
-                    return;
+                    resultDiv.innerHTML = '<div style="color: #ff0040;">❌ Analysis failed: ' + error.message + '</div>';
                 }
-                
-                const scanDescriptions = {
-                    'neural_deep': 'Neural network-powered deep vulnerability analysis',
-                    'apt_focused': 'APT-specific vulnerability assessment with TTP mapping',
-                    'zero_day': 'Advanced zero-day vulnerability discovery',
-                    'lateral_movement': 'Lateral movement path analysis'
-                };
-                
-                document.getElementById('vulnScanResult').innerHTML = `
-                    <h4 class="cyan">🔒 NEURAL VULNERABILITY ASSESSMENT</h4>
-                    <p><span class="yellow">Target:</span> <span class="green">${target}</span></p>
-                    <p><span class="yellow">Scan Profile:</span> <span class="green">${scanDescriptions[scanType]}</span></p>
-                    <p><span class="red">🔴 CRITICAL:</span> 3 vulnerabilities (RCE potential)</p>
-                    <p><span class="orange">🟠 HIGH:</span> 8 vulnerabilities (Privilege escalation)</p>
-                    <p><span class="yellow">🟡 MEDIUM:</span> 15 vulnerabilities (Information disclosure)</p>
-                    <p><span class="cyan">🧠 Neural Assessment:</span> <span class="green">Advanced AI analysis completed</span></p>
-                    <div style="margin-top: 10px; padding: 8px; background: #330000; border-radius: 4px;">
-                        <span class="red">⚠️ APT Exploitation Risk: HIGH - Matches known APT28 techniques</span>
-                    </div>
-                `;
-                document.getElementById('vulnScanResult').style.display = 'block';
-            }
-
-            async function launchRedTeamOp() {
-                const tactic = document.getElementById('attackTactic').value;
-                const aptGroup = document.getElementById('aptEmulation').value;
-                const target = document.getElementById('redTeamTarget').value;
-                
-                const tacticDescriptions = {
-                    'initial_access': 'Simulating initial compromise vectors',
-                    'execution': 'Testing command execution capabilities',
-                    'persistence': 'Establishing persistence mechanisms',
-                    'privilege_escalation': 'Escalating privileges on target systems',
-                    'lateral_movement': 'Moving laterally through the network',
-                    'exfiltration': 'Simulating data exfiltration techniques'
-                };
-                
-                const aptDescriptions = {
-                    'apt28': 'Fancy Bear tactics - credential harvesting, lateral movement',
-                    'apt29': 'Cozy Bear tactics - living-off-the-land, stealth persistence',
-                    'apt1': 'Comment Crew tactics - web shells, backdoors',
-                    'lazarus': 'Lazarus Group tactics - destructive payloads, financial theft'
-                };
-                
-                document.getElementById('redTeamResult').innerHTML = `
-                    <h4 class="cyan">🎯 RED TEAM OPERATION STATUS</h4>
-                    <p><span class="yellow">Operation:</span> <span class="orange">${tacticDescriptions[tactic]}</span></p>
-                    <p><span class="yellow">APT Emulation:</span> <span class="red">${aptDescriptions[aptGroup] || 'Custom scenario'}</span></p>
-                    <p><span class="yellow">Target Environment:</span> <span class="green">${target || 'Simulation Lab'}</span></p>
-                    <p><span class="red">🎭 MITRE ATT&CK:</span> Techniques mapped and executing</p>
-                    <p><span class="green">✅ Phase 1:</span> Initial access successful</p>
-                    <p><span class="orange">🔄 Phase 2:</span> Establishing persistence...</p>
-                    <p><span class="yellow">⏳ Phase 3:</span> Lateral movement pending</p>
-                    <div style="margin-top: 10px; padding: 8px; background: #001100; border-radius: 4px;">
-                        <span class="cyan">🤖 AI Orchestration: Multi-agent coordination active</span>
-                    </div>
-                `;
-                document.getElementById('redTeamResult').style.display = 'block';
-            }
-
-            async function launchThreatHunt() {
-                const huntType = document.getElementById('huntingType').value;
-                const scope = document.getElementById('huntingScope').value;
-                
-                const huntDescriptions = {
-                    'apt_behavior': 'Hunting for Advanced Persistent Threat behavioral patterns',
-                    'living_off_land': 'Detecting living-off-the-land techniques',
-                    'insider_threat': 'Identifying insider threat indicators',
-                    'supply_chain': 'Investigating supply chain compromise signals'
-                };
-                
-                document.getElementById('huntingResult').innerHTML = `
-                    <h4 class="cyan">🔍 THREAT HUNTING RESULTS</h4>
-                    <p><span class="yellow">Hunt Type:</span> <span class="orange">${huntDescriptions[huntType]}</span></p>
-                    <p><span class="yellow">Scope:</span> <span class="green">${scope || 'Enterprise Network'}</span></p>
-                    <p><span class="red">🚨 Suspicious Activities:</span> 7 patterns detected</p>
-                    <p><span class="orange">🎭 APT Indicators:</span> 3 potential matches found</p>
-                    <p><span class="yellow">📊 Behavioral Anomalies:</span> 12 anomalous patterns</p>
-                    <p><span class="cyan">🧠 AI Analysis:</span> <span class="green">Machine learning models engaged</span></p>
-                    <div style="margin-top: 10px; padding: 8px; background: #330011; border-radius: 4px;">
-                        <span class="red">⚡ Priority Alert: Potential APT29 activity detected</span>
-                    </div>
-                `;
-                document.getElementById('huntingResult').style.display = 'block';
-            }
-
-            function viewAgentStatus() {
-                alert('🤖 AI AGENT MATRIX\\n\\n• Reconnaissance Agent: ACTIVE - Scanning networks\\n• Exploitation Agent: STANDBY - Ready for tasking\\n• Post-Exploit Agent: ACTIVE - Privilege escalation\\n• Safety Agent: MONITORING - All systems\\n• Orchestrator Agent: COORDINATING - Mission planning\\n• Intel Agent: ANALYZING - Threat patterns');
-            }
-
-            function orchestrateAgents() {
-                alert('🎼 AGENT ORCHESTRATION INITIATED\\n\\nMulti-agent mission coordination started:\\n✅ Threat intel gathering\\n🔄 Vulnerability assessment\\n⏳ Attack simulation prep\\n🛡️ Safety monitoring active');
-            }
-
-            function exportThreatIntel() {
-                const data = {
-                    timestamp: new Date().toISOString(),
-                    platform: 'Cyber-LLM Advanced Operations Center',
-                    threat_intelligence: {
-                        apt_groups: 5,
-                        malicious_ips: 847,
-                        suspicious_domains: 1203,
-                        malware_families: 23,
-                        active_campaigns: 12
-                    },
-                    format: 'JSON'
-                };
-                const blob = new Blob([JSON.stringify(data, null, 2)], {type: 'application/json'});
-                const url = URL.createObjectURL(blob);
-                const a = document.createElement('a');
-                a.href = url;
-                a.download = 'cyber_llm_threat_intel_export.json';
-                a.click();
-            }
-
-            function generateReport() {
-                alert('📊 GENERATING COMPREHENSIVE REPORT\\n\\n• Threat landscape analysis\\n• APT activity summary\\n• Vulnerability assessment results\\n• Red team operation outcomes\\n• AI agent performance metrics\\n\\nReport will be available in 30 seconds...');
-            }
-
-            async function analyzeLogData() {
-                const logType = document.getElementById('logType').value;
-                const logData = document.getElementById('logData').value;
-                
-                if (!logData.trim()) {
-                    alert('Please provide log data to analyze');
-                    return;
-                }
-                
-                const logTypeDescriptions = {
-                    'siem': 'SIEM security event correlation and analysis',
-                    'edr': 'Endpoint Detection & Response telemetry analysis',
-                    'network': 'Network flow pattern and anomaly detection',
-                    'dns': 'DNS query analysis and threat hunting',
-                    'auth': 'Authentication event analysis and insider threats'
-                };
-                
-                document.getElementById('logAnalysisResult').innerHTML = `
-                    <h4 class="cyan">📊 INTELLIGENT LOG ANALYSIS</h4>
-                    <p><span class="yellow">Analysis Type:</span> <span class="green">${logTypeDescriptions[logType]}</span></p>
-                    <p><span class="yellow">Events Processed:</span> <span class="green">${Math.floor(logData.length / 8)}</span></p>
-                    <p><span class="red">🚨 Critical Alerts:</span> 4 high-priority events</p>
-                    <p><span class="orange">⚠️ Suspicious Patterns:</span> 15 anomalous behaviors</p>
-                    <p><span class="yellow">🔍 IOC Matches:</span> 8 indicators found</p>
-                    <p><span class="cyan">🧠 ML Analysis:</span> <span class="green">Behavioral modeling complete</span></p>
-                    <div style="margin-top: 10px; padding: 8px; background: #001122; border-radius: 4px;">
-                        <span class="cyan">🎯 AI Insight: Potential credential stuffing attack detected</span>
-                    </div>
-                `;
-                document.getElementById('logAnalysisResult').style.display = 'block';
             }
         </script>
     </body>
     </html>
     """
-    return HTMLResponse(content=html_content, status_code=200)
+    return HTMLResponse(content=html_content)
 
-@app.post("/analyze_target", response_model=TargetAnalysisResponse)
-async def analyze_unified_target(request: UnifiedTargetRequest):
-    """
-    🎯 UNIFIED TARGET ANALYSIS - Single Entry Point for All Intelligence
+@app.post("/analyze", response_model=ThreatResponse)
+async def analyze_target(request: TargetAnalysisRequest):
+    """Analyze a target for threat intelligence"""
     
-    Comprehensive analysis of any target type:
-    • IP addresses and network ranges
-    • Domains and URLs  
-    • File hashes (MD5, SHA1, SHA256)
-    • Email addresses and registry keys
-    • File paths and process indicators
+    target = request.target.lower()
     
-    Advanced features:
-    • APT attribution with confidence scoring
-    • Real-time threat intelligence correlation
-    • Multi-source IOC validation
-    • MITRE ATT&CK technique mapping
-    """
-    try:
-        # Auto-detect target type if needed
-        if request.target_type == "auto_detect":
-            detected_type = detect_target_type(request.target)
-        else:
-            detected_type = request.target_type
-        
-        # Perform comprehensive analysis
-        analysis_results = comprehensive_target_analysis(
-            request.target, 
-            detected_type, 
-            request.analysis_scope
-        )
-        
-        return TargetAnalysisResponse(
-            target_id=analysis_results["target_id"],
-            target=request.target,
-            target_type=detected_type,
-            threat_level=analysis_results["threat_level"],
-            confidence_score=analysis_results["confidence_score"],
-            analysis_results=analysis_results,
-            recommendations=analysis_results["recommendations"],
-            timestamp=analysis_results["analysis_timestamp"]
-        )
-        
-    except Exception as e:
-        logger.error(f"Unified target analysis failed: {str(e)}")
-        raise HTTPException(status_code=500, detail=f"Analysis failed: {str(e)}")
-
-@app.get("/threat_overview")
-async def get_threat_overview():
-    """Get current threat overview metrics"""
-    return generate_realistic_threat_data()
-
-@app.post("/analyze_threat_intel")
-async def analyze_threat_intelligence(request: ThreatIntelRequest):
-    """Analyze threat intelligence indicators"""
-    try:
-        analysis = analyze_network_ioc(request.indicator, request.ioc_type)
-        
-        return {
-            "indicator": analysis["indicator"],
-            "type": analysis["type"],
-            "reputation": analysis["reputation"],
-            "threat_types": analysis["threat_types"],
-            "confidence": analysis["confidence"],
-            "first_seen": analysis["first_seen"],
-            "last_seen": analysis["last_seen"],
-            "analysis_timestamp": datetime.now().isoformat()
-        }
-    except Exception as e:
-        logger.error(f"Threat intel analysis failed: {str(e)}")
-        raise HTTPException(status_code=500, detail=f"Analysis failed: {str(e)}")
-
-@app.post("/incident_response")
-async def process_incident(request: IncidentResponse):
-    """Process security incident and generate response plan"""
-    try:
-        incident_id = f"INC-{datetime.now().strftime('%Y%m%d-%H%M%S')}"
-        
-        # Generate realistic incident response
-        response_teams = {
-            "critical": "TIER-1 + CISO + External Support",
-            "high": "TIER-1 + Security Manager",
-            "medium": "TIER-2 Security Team",
-            "low": "TIER-3 Security Analyst"
-        }
-        
-        immediate_actions = {
-            "malware": [
-                "Isolate affected systems immediately",
-                "Run full antivirus scan on network",
-                "Block malicious IPs at firewall",
-                "Collect forensic evidence"
-            ],
-            "breach": [
-                "Activate incident response team",
-                "Preserve evidence and logs",
-                "Notify legal and compliance teams",
-                "Begin forensic investigation"
-            ],
-            "phishing": [
-                "Block sender domains/IPs",
-                "Warn all users via security alert",
-                "Check for credential compromise",
-                "Update email security filters"
-            ],
-            "ddos": [
-                "Activate DDoS mitigation",
-                "Contact ISP for upstream filtering",
-                "Scale infrastructure if possible",
-                "Monitor traffic patterns"
-            ]
-        }
-        
-        resolution_times = {
-            "critical": "4-8 hours",
-            "high": "8-24 hours", 
-            "medium": "1-3 days",
-            "low": "3-7 days"
-        }
-        
-        return {
-            "incident_id": incident_id,
-            "incident_type": request.incident_type,
-            "priority": request.severity.upper(),
-            "response_team": response_teams.get(request.severity, "Security Team"),
-            "immediate_actions": immediate_actions.get(request.incident_type, [
-                "Assess impact and scope",
-                "Implement containment measures", 
-                "Begin investigation",
-                "Document findings"
-            ]),
-            "estimated_resolution": resolution_times.get(request.severity, "TBD"),
-            "created_timestamp": datetime.now().isoformat()
-        }
-    except Exception as e:
-        logger.error(f"Incident processing failed: {str(e)}")
-        raise HTTPException(status_code=500, detail=f"Incident processing failed: {str(e)}")
-
-@app.post("/vulnerability_scan")
-async def vulnerability_scan(request: VulnerabilityAssessment):
-    """Perform vulnerability assessment"""
-    try:
-        scan_id = f"SCAN-{datetime.now().strftime('%Y%m%d-%H%M%S')}"
-        
-        # Generate realistic vulnerability results based on advanced intel
-        vulnerabilities = random.sample(ADVANCED_THREAT_INTELLIGENCE["vulnerabilities"], 
-                                       min(len(ADVANCED_THREAT_INTELLIGENCE["vulnerabilities"]), 
-                                           random.randint(2, 4)))
-        
-        return {
-            "scan_id": scan_id,
-            "target": request.target_info,
-            "scan_type": request.scan_type,
-            "vulnerabilities_found": len(vulnerabilities),
-            "critical_count": sum(1 for v in vulnerabilities if v["severity"] == "CRITICAL"),
-            "high_count": sum(1 for v in vulnerabilities if v["severity"] == "HIGH"),
-            "medium_count": sum(1 for v in vulnerabilities if v["severity"] == "MEDIUM"),
-            "vulnerabilities": vulnerabilities,
-            "scan_timestamp": datetime.now().isoformat(),
-            "status": "completed"
-        }
-    except Exception as e:
-        logger.error(f"Vulnerability scan failed: {str(e)}")
-        raise HTTPException(status_code=500, detail=f"Vulnerability scan failed: {str(e)}")
-
-@app.post("/analyze_logs")  
-async def analyze_security_logs(request: LogAnalysisRequest):
-    """Analyze security logs for threats and anomalies"""
-    try:
-        # Simulate log analysis
-        log_lines = request.log_data.split('\n')
-        
-        suspicious_patterns = [
-            "failed login", "access denied", "suspicious activity",
-            "malware detected", "unusual traffic", "privilege escalation"
-        ]
-        
-        threats_found = []
-        for line in log_lines[:50]:  # Analyze first 50 lines
-            for pattern in suspicious_patterns:
-                if pattern in line.lower():
-                    threats_found.append({
-                        "pattern": pattern,
-                        "log_entry": line.strip(),
-                        "severity": random.choice(["HIGH", "MEDIUM", "LOW"])
-                    })
-        
-        return {
-            "analysis_id": f"LOG-{datetime.now().strftime('%Y%m%d-%H%M%S')}",
-            "log_type": request.log_type,
-            "events_analyzed": len(log_lines),
-            "threats_detected": len(threats_found),
-            "threat_details": threats_found[:10],  # Return top 10
-            "analysis_timestamp": datetime.now().isoformat()
-        }
-    except Exception as e:
-        logger.error(f"Log analysis failed: {str(e)}")
-        raise HTTPException(status_code=500, detail=f"Log analysis failed: {str(e)}")
+    # Default analysis
+    threat_level = "low"
+    confidence = 0.7
+    analysis = {
+        "target": request.target,
+        "type": "clean",
+        "description": "Target appears benign based on current intelligence",
+        "recommendations": "Continue monitoring for changes"
+    }
+    
+    # Check against known IOCs
+    if any(ioc in target for ioc in THREAT_INTELLIGENCE["iocs"]):
+        threat_level = "critical"
+        confidence = 0.95
+        analysis.update({
+            "type": "known_malicious",
+            "description": "Target matches known IOC in threat intelligence database",
+            "recommendations": "BLOCK IMMEDIATELY - Known malicious indicator"
+        })
+    elif any(keyword in target for keyword in ["malicious", "evil", "hack", "attack", "phish"]):
+        threat_level = "warning"
+        confidence = 0.8
+        analysis.update({
+            "type": "suspicious",
+            "description": "Target contains suspicious keywords indicating potential threat",
+            "recommendations": "Investigate further and implement monitoring"
+        })
+    
+    return ThreatResponse(
+        threat_level=threat_level,
+        confidence=confidence,
+        analysis=analysis
+    )
 
 @app.get("/health")
 async def health_check():
-    """System health check"""
+    """Health check endpoint for monitoring"""
     return {
-        "status": "operational",
-        "platform": "Cyber-LLM Operations Center",
+        "status": "healthy",
+        "service": "cyber-llm",
         "version": "2.0.0",
-        "threat_intel_db": "online",
-        "vulnerability_scanner": "ready",
-        "incident_response": "active", 
-        "timestamp": datetime.now().isoformat()
+        "timestamp": datetime.now().isoformat(),
+        "threat_db_size": len(THREAT_INTELLIGENCE["apt_groups"])
     }
 
-@app.get("/threat_intelligence")
-async def threat_intelligence_summary():
-    """Get advanced threat intelligence summary with APT attribution"""
-    return {
-        "total_indicators": len(ADVANCED_THREAT_INTELLIGENCE["malicious_ips"]) + 
-                           len(ADVANCED_THREAT_INTELLIGENCE["suspicious_domains"]) +
-                           len(ADVANCED_THREAT_INTELLIGENCE["vulnerabilities"]),
-        "malicious_ips": len(ADVANCED_THREAT_INTELLIGENCE["malicious_ips"]),
-        "suspicious_domains": len(ADVANCED_THREAT_INTELLIGENCE["suspicious_domains"]),
-        "tracked_apt_groups": len(ADVANCED_THREAT_INTELLIGENCE["apt_groups"]),
-        "malware_families": len(ADVANCED_THREAT_INTELLIGENCE["malware_families"]),
-        "attack_techniques": len(ADVANCED_THREAT_INTELLIGENCE["attack_techniques"]),
-        "recent_vulnerabilities": len(ADVANCED_THREAT_INTELLIGENCE["vulnerabilities"]),
-        "apt_groups": list(ADVANCED_THREAT_INTELLIGENCE["apt_groups"].keys()),
-        "top_malware_families": list(ADVANCED_THREAT_INTELLIGENCE["malware_families"].keys())[:5],
-        "last_updated": datetime.now().isoformat()
-    }
+@app.get("/api/threats")
+async def get_threats():
+    """Get current threat intelligence data"""
+    return JSONResponse(content=THREAT_INTELLIGENCE)
 
 if __name__ == "__main__":
     import uvicorn
     port = int(os.environ.get("PORT", 7860))
+    print(f"🛡️ Starting Cyber-LLM Operations Center on port {port}")
     uvicorn.run(app, host="0.0.0.0", port=port)

app_broken.py

@@ -0,0 +1,313 @@
+"""
+Cyber-LLM: Advanced Cybersecurity AI Operations Center
+Minimal working version optimized for HuggingFace Spaces
+"""
+
+from fastapi import FastAPI, HTTPException
+from fastapi.responses import HTMLResponse, JSONResponse
+from pydantic import BaseModel
+from typing import Dict, List, Any
+import os
+import json
+from datetime import datetime
+import logging
+
+# Configure logging
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+# Create FastAPI app
+app = FastAPI(
+    title="Cyber-LLM Operations Center",
+    description="Advanced Cybersecurity AI Platform for Threat Intelligence and Red Team Operations",
+    version="2.0.0"
+)
+
+# Data Models
+class TargetAnalysisRequest(BaseModel):
+    target: str
+    analysis_type: str = "comprehensive"
+
+class ThreatResponse(BaseModel):
+    threat_level: str
+    confidence: float
+    analysis: Dict[str, Any]
+
+# Sample threat intelligence data
+THREAT_INTELLIGENCE = {
+    "apt_groups": {
+        "APT29": {
+            "name": "Cozy Bear", 
+            "origin": "Russia",
+            "techniques": ["Spear Phishing", "PowerShell", "WMI"],
+            "active": True
+        },
+        "APT28": {
+            "name": "Fancy Bear",
+            "origin": "Russia", 
+            "techniques": ["Zero-day Exploits", "Social Engineering"],
+            "active": True
+        },
+        "Lazarus": {
+            "name": "Hidden Cobra",
+            "origin": "North Korea",
+            "techniques": ["Banking Trojans", "Cryptocurrency Theft"],
+            "active": True
+        }
+    },
+    "iocs": [
+        "malicious-domain.com",
+        "[email protected]",
+        "192.168.1.100"
+    ]
+}
+
+@app.get("/", response_class=HTMLResponse)
+async def dashboard():
+    """Main cybersecurity operations dashboard"""
+    
+    html_content = f"""
+    <!DOCTYPE html>
+    <html lang="en">
+    <head>
+        <meta charset="UTF-8">
+        <meta name="viewport" content="width=device-width, initial-scale=1.0">
+        <title>🛡️ Cyber-LLM Operations Center</title>
+        <style>
+            * {{ margin: 0; padding: 0; box-sizing: border-box; }}
+            body {{ 
+                font-family: 'Courier New', monospace; 
+                background: linear-gradient(135deg, #0a0a0a, #1a1a2e);
+                color: #00ff00; 
+                min-height: 100vh;
+                padding: 20px;
+            }}
+            .container {{ 
+                max-width: 1200px; 
+                margin: 0 auto; 
+                background: rgba(0, 0, 0, 0.8);
+                border: 2px solid #00ff00;
+                border-radius: 15px;
+                padding: 30px;
+            }}
+            h1 {{ 
+                color: #ff0040; 
+                text-align: center; 
+                margin-bottom: 30px; 
+                font-size: 2.5em;
+                text-shadow: 0 0 10px #ff0040;
+            }}
+            .stats-grid {{ 
+                display: grid; 
+                grid-template-columns: repeat(auto-fit, minmax(300px, 1fr)); 
+                gap: 20px; 
+                margin-bottom: 30px; 
+            }}
+            .stat-card {{ 
+                background: rgba(0, 255, 0, 0.1); 
+                border: 1px solid #00ff00; 
+                border-radius: 10px; 
+                padding: 20px; 
+                text-align: center;
+            }}
+            .stat-value {{ color: #00ffff; font-size: 2em; font-weight: bold; }}
+            .section {{ 
+                background: rgba(255, 0, 64, 0.1); 
+                border: 1px solid #ff0040; 
+                border-radius: 10px; 
+                padding: 20px; 
+                margin: 20px 0; 
+            }}
+            .section h2 {{ color: #ff0040; margin-bottom: 15px; }}
+            .threat-list {{ list-style: none; }}
+            .threat-list li {{ 
+                background: rgba(0, 255, 255, 0.1); 
+                margin: 5px 0; 
+                padding: 10px; 
+                border-radius: 5px; 
+                border-left: 3px solid #00ffff;
+            }}
+            .input-group {{ margin: 10px 0; }}
+            .input-group input {{ 
+                width: 70%; 
+                padding: 10px; 
+                background: #1a1a2e; 
+                color: #00ff00; 
+                border: 1px solid #00ff00; 
+                border-radius: 5px;
+            }}
+            .btn {{ 
+                background: #ff0040; 
+                color: white; 
+                border: none; 
+                padding: 10px 20px; 
+                border-radius: 5px; 
+                cursor: pointer; 
+                font-family: 'Courier New', monospace;
+            }}
+            .btn:hover {{ background: #cc0033; }}
+            .result-box {{ 
+                background: rgba(0, 0, 0, 0.5); 
+                border: 1px solid #00ffff; 
+                border-radius: 5px; 
+                padding: 15px; 
+                margin: 10px 0; 
+                display: none;
+            }}
+            .status-online {{ color: #00ff00; }}
+            .status-warning {{ color: #ffff00; }}
+            .status-critical {{ color: #ff0040; }}
+        </style>
+    </head>
+    <body>
+        <div class="container">
+            <h1>🛡️ CYBER-LLM OPERATIONS CENTER</h1>
+            
+            <div class="stats-grid">
+                <div class="stat-card">
+                    <div class="stat-value">{len(THREAT_INTELLIGENCE['apt_groups'])}</div>
+                    <div>APT Groups Tracked</div>
+                </div>
+                <div class="stat-card">
+                    <div class="stat-value">{len(THREAT_INTELLIGENCE['iocs'])}</div>
+                    <div>IOCs Monitored</div>
+                </div>
+                <div class="stat-card">
+                    <div class="stat-value status-online">ONLINE</div>
+                    <div>System Status</div>
+                </div>
+                <div class="stat-card">
+                    <div class="stat-value">97.3%</div>
+                    <div>Threat Detection Rate</div>
+                </div>
+            </div>
+
+            <div class="section">
+                <h2>🎯 TARGET ANALYSIS</h2>
+                <div class="input-group">
+                    <input type="text" id="targetInput" placeholder="Enter IP, domain, hash, or IOC..." />
+                    <button class="btn" onclick="analyzeTarget()">🔍 ANALYZE</button>
+                </div>
+                <div id="analysisResult" class="result-box"></div>
+            </div>
+
+            <div class="section">
+                <h2>🏴‍☠️ ACTIVE APT GROUPS</h2>
+                <ul class="threat-list">
+                    <li><strong>APT29 (Cozy Bear)</strong> - 🇷🇺 Russia | Techniques: Spear Phishing, PowerShell</li>
+                    <li><strong>APT28 (Fancy Bear)</strong> - 🇷🇺 Russia | Techniques: Zero-day Exploits</li>
+                    <li><strong>Lazarus (Hidden Cobra)</strong> - 🇰🇵 North Korea | Techniques: Banking Trojans</li>
+                </ul>
+            </div>
+
+            <div class="section">
+                <h2>⚡ RECENT THREAT INTELLIGENCE</h2>
+                <ul class="threat-list">
+                    <li>🚨 New APT campaign detected targeting financial institutions</li>
+                    <li>🔍 Suspicious domain registered: malicious-banking.com</li>
+                    <li>⚠️ Zero-day vulnerability in popular web framework identified</li>
+                    <li>🛡️ Defensive countermeasures updated for latest threats</li>
+                </ul>
+            </div>
+        </div>
+
+        <script>
+            async function analyzeTarget() {{
+                const target = document.getElementById('targetInput').value;
+                if (!target) {{
+                    alert('Please enter a target to analyze');
+                    return;
+                }}
+
+                const resultDiv = document.getElementById('analysisResult');
+                resultDiv.innerHTML = '<div style="color: #ffff00;">🔄 Analyzing target...</div>';
+                resultDiv.style.display = 'block';
+
+                try {{
+                    const response = await fetch('/analyze', {{
+                        method: 'POST',
+                        headers: {{ 'Content-Type': 'application/json' }},
+                        body: JSON.stringify({{ target: target, analysis_type: 'comprehensive' }})
+                    }});
+
+                    const result = await response.json();
+                    
+                    resultDiv.innerHTML = `
+                        <h3 style="color: #00ffff;">🎯 Analysis Results</h3>
+                        <p><strong>Target:</strong> ${{target}}</p>
+                        <p><strong>Threat Level:</strong> <span class="status-${{result.threat_level}}">${{result.threat_level.toUpperCase()}}</span></p>
+                        <p><strong>Confidence:</strong> ${{(result.confidence * 100).toFixed(1)}}%</p>
+                        <p><strong>Analysis:</strong> ${{result.analysis.description}}</p>
+                        <p><strong>Recommendations:</strong> ${{result.analysis.recommendations}}</p>
+                    `;
+                }} catch (error) {{
+                    resultDiv.innerHTML = '<div style="color: #ff0040;">❌ Analysis failed: ' + error.message + '</div>';
+                }}
+            }}
+        </script>
+    </body>
+    </html>
+    """
+    return HTMLResponse(content=html_content)
+
+@app.post("/analyze", response_model=ThreatResponse)
+async def analyze_target(request: TargetAnalysisRequest):
+    """Analyze a target for threat intelligence"""
+    
+    target = request.target.lower()
+    
+    # Simple threat analysis logic
+    threat_level = "low"
+    confidence = 0.7
+    analysis = {{
+        "target": request.target,
+        "type": "unknown",
+        "description": "Target analyzed successfully",
+        "recommendations": "Continue monitoring"
+    }}
+    
+    # Check against known IOCs
+    if any(ioc in target for ioc in THREAT_INTELLIGENCE["iocs"]):
+        threat_level = "critical"
+        confidence = 0.95
+        analysis.update({{
+            "type": "known_malicious",
+            "description": "Target matches known IOC in threat intelligence database",
+            "recommendations": "BLOCK IMMEDIATELY - Known malicious indicator"
+        }})
+    elif "malicious" in target or "evil" in target or "hack" in target:
+        threat_level = "warning"
+        confidence = 0.8
+        analysis.update({{
+            "type": "suspicious",
+            "description": "Target contains suspicious keywords",
+            "recommendations": "Investigate further and monitor closely"
+        }})
+    
+    return ThreatResponse(
+        threat_level=threat_level,
+        confidence=confidence,
+        analysis=analysis
+    )
+
+@app.get("/health")
+async def health_check():
+    """Health check endpoint for monitoring"""
+    return {
+        "status": "healthy",
+        "service": "cyber-llm",
+        "version": "2.0.0",
+        "timestamp": datetime.now().isoformat(),
+        "threat_db_size": len(THREAT_INTELLIGENCE["apt_groups"])
+    }
+
+@app.get("/api/threats")
+async def get_threats():
+    """Get current threat intelligence data"""
+    return JSONResponse(content=THREAT_INTELLIGENCE)
+
+if __name__ == "__main__":
+    import uvicorn
+    port = int(os.environ.get("PORT", 7860))
+    logger.info(f"Starting Cyber-LLM Operations Center on port {{port}}")
+    uvicorn.run(app, host="0.0.0.0", port=port)

app_complex.py

@@ -0,0 +1,1624 @@
+#!/usr/bin/env python3
+"""
+Cyber-LLM: Advanced Adversarial AI Operations Center
+Real-world cybersecurity AI platform with multi-agent architecture, threat intelligence,
+red team automation, and advanced persistent threat simulation capabilities.
+
+Author: Muzan Sano ([email protected])
+Project: Advanced Cybersecurity AI Research Platform
+"""
+
+from fastapi import FastAPI, HTTPException, UploadFile, File
+from fastapi.responses import HTMLResponse, JSONResponse
+from pydantic import BaseModel
+from typing import Dict, List, Any, Optional
+import os
+import json
+from datetime import datetime, timedelta
+import logging
+import random
+import re
+import hashlib
+import ipaddress
+
+# Configure logging
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+# Initialize FastAPI app
+app = FastAPI(
+    title="Cyber-LLM: Advanced Adversarial AI Operations Center",
+    description="""
+    🛡️ **Cyber-LLM Advanced Operations Platform**
+    
+    Real-world cybersecurity AI with multi-agent architecture featuring:
+    • **Advanced Persistent Threat (APT) Simulation**
+    • **Multi-Agent Red Team Orchestration** 
+    • **Real-time Threat Intelligence & IoC Analysis**
+    • **Automated Vulnerability Assessment & Exploitation**
+    • **OPSEC-aware Attack Chain Generation**
+    • **Neural-Symbolic Reasoning for Complex Scenarios**
+    • **Adversarial AI Training & Defense Mechanisms**
+    
+    Built for security professionals, red teamers, and cybersecurity researchers.
+    """,
+    version="3.0.0-ADVANCED",
+    docs_url="/docs",
+    redoc_url="/redoc"
+)
+
+# Pydantic models for realistic cybersecurity operations
+class ThreatIntelRequest(BaseModel):
+    ioc_type: str  # ip, domain, hash, url
+    indicator: str
+    analysis_depth: Optional[str] = "standard"
+
+class UnifiedTargetRequest(BaseModel):
+    target: str
+    target_type: Optional[str] = "auto_detect"  # auto_detect, ip, domain, url, file_hash, network_range
+    analysis_scope: Optional[str] = "comprehensive"  # quick, standard, comprehensive, deep
+    operation_mode: Optional[str] = "analysis"  # analysis, red_team, threat_hunt, vulnerability_scan
+
+class TargetAnalysisResponse(BaseModel):
+    target_id: str
+    target: str
+    target_type: str
+    threat_level: str
+    confidence_score: float
+    analysis_results: Dict[str, Any]
+    recommendations: List[str]
+    timestamp: str
+
+class VulnerabilityAssessment(BaseModel):
+    target_type: str  # network, application, system
+    scan_type: str   # quick, comprehensive, targeted
+    target_info: str
+
+class IncidentResponse(BaseModel):
+    incident_type: str
+    severity: str
+    description: str
+    affected_systems: List[str]
+
+class LogAnalysisRequest(BaseModel):
+    log_data: str
+    log_type: str  # firewall, ids, system, application
+    time_range: Optional[str] = "24h"
+
+# Advanced Threat Intelligence Database - Real-world IOCs and TTPs
+ADVANCED_THREAT_INTELLIGENCE = {
+    "apt_groups": {
+        "APT1": {"country": "China", "targets": ["Government", "Defense"], "ttps": ["Spearphishing", "Backdoors"]},
+        "APT28": {"country": "Russia", "targets": ["Government", "Military"], "ttps": ["Credential Harvesting", "Lateral Movement"]}, 
+        "APT29": {"country": "Russia", "targets": ["Government", "Healthcare"], "ttps": ["Supply Chain", "Living off Land"]},
+        "Lazarus": {"country": "North Korea", "targets": ["Financial", "Cryptocurrency"], "ttps": ["Destructive Malware", "Financial Theft"]},
+        "APT40": {"country": "China", "targets": ["Maritime", "Research"], "ttps": ["Web Shells", "Credential Dumping"]}
+    },
+    "malicious_ips": [
+        {"ip": "45.148.10.200", "reputation": "C2", "apt": "APT28", "first_seen": "2024-01-15"},
+        {"ip": "103.41.124.47", "reputation": "Malware", "apt": "Lazarus", "first_seen": "2024-02-03"},
+        {"ip": "185.220.101.182", "reputation": "Phishing", "apt": "APT1", "first_seen": "2024-01-28"},
+        {"ip": "194.147.85.214", "reputation": "Botnet", "apt": "APT29", "first_seen": "2024-02-10"}
+    ],
+    "malware_families": {
+        "Cobalt Strike": {"type": "RAT", "techniques": ["Process Injection", "Lateral Movement"]},
+        "Mimikatz": {"type": "Credential Theft", "techniques": ["LSASS Dumping", "Golden Ticket"]},
+        "BloodHound": {"type": "Recon", "techniques": ["AD Enumeration", "Privilege Escalation Paths"]},
+        "Empire": {"type": "Post-Exploitation", "techniques": ["PowerShell", "WMI"]},
+        "Metasploit": {"type": "Exploitation Framework", "techniques": ["Exploit Delivery", "Payload Generation"]}
+    },
+    "attack_techniques": {
+        "T1566.001": {"name": "Spearphishing Attachment", "tactic": "Initial Access"},
+        "T1059.003": {"name": "Windows Command Shell", "tactic": "Execution"},
+        "T1055": {"name": "Process Injection", "tactic": "Defense Evasion"},
+        "T1003.001": {"name": "LSASS Memory", "tactic": "Credential Access"},
+        "T1021.001": {"name": "Remote Desktop Protocol", "tactic": "Lateral Movement"},
+        "T1041": {"name": "Exfiltration Over C2 Channel", "tactic": "Exfiltration"}
+    },
+    "suspicious_domains": [
+        {"domain": "microsoft-update-security.com", "type": "Phishing", "similarity": "microsoft.com"},
+        {"domain": "secure-banking-portal.net", "type": "Financial Fraud", "similarity": "banking portals"},
+        {"domain": "admin-panel-login.org", "type": "Credential Harvesting", "similarity": "admin portals"},
+        {"domain": "cloud-storage-sync.info", "type": "Data Exfiltration", "similarity": "cloud services"}
+    ],
+    "vulnerabilities": [
+        {"cve": "CVE-2024-21412", "severity": "CRITICAL", "score": 9.8, "type": "RCE", "vendor": "Microsoft Exchange"},
+        {"cve": "CVE-2024-3400", "severity": "CRITICAL", "score": 10.0, "type": "Command Injection", "vendor": "Palo Alto"},
+        {"cve": "CVE-2024-1086", "severity": "HIGH", "score": 8.2, "type": "Privilege Escalation", "vendor": "Linux Kernel"},
+        {"cve": "CVE-2024-20767", "severity": "HIGH", "score": 7.8, "type": "Authentication Bypass", "vendor": "Cisco"}
+    ]
+}
+
+# Red Team Attack Simulation Framework
+RED_TEAM_SCENARIOS = {
+    "initial_access": [
+        {"technique": "T1566.001", "name": "Spearphishing Attachment", "success_rate": 0.65},
+        {"technique": "T1190", "name": "Exploit Public-Facing Application", "success_rate": 0.45},
+        {"technique": "T1133", "name": "External Remote Services", "success_rate": 0.35},
+        {"technique": "T1078", "name": "Valid Accounts", "success_rate": 0.85}
+    ],
+    "execution": [
+        {"technique": "T1059.003", "name": "Windows Command Shell", "success_rate": 0.90},
+        {"technique": "T1059.001", "name": "PowerShell", "success_rate": 0.85},
+        {"technique": "T1053.005", "name": "Scheduled Task", "success_rate": 0.70},
+        {"technique": "T1106", "name": "Native API", "success_rate": 0.60}
+    ],
+    "persistence": [
+        {"technique": "T1547.001", "name": "Registry Run Keys", "success_rate": 0.75},
+        {"technique": "T1053", "name": "Scheduled Task/Job", "success_rate": 0.80},
+        {"technique": "T1543.003", "name": "Windows Service", "success_rate": 0.65},
+        {"technique": "T1078", "name": "Valid Accounts", "success_rate": 0.85}
+    ]
+}
+
+def generate_realistic_threat_data():
+    """Generate realistic threat intelligence data"""
+    return {
+        "active_threats": random.randint(15, 45),
+        "blocked_attacks": random.randint(120, 350),
+        "compromised_systems": random.randint(0, 5),
+        "critical_vulnerabilities": random.randint(2, 12),
+        "threat_level": random.choice(["LOW", "MEDIUM", "HIGH", "CRITICAL"]),
+        "last_update": datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+    }
+
+def detect_target_type(target: str):
+    """Advanced target type detection with comprehensive analysis"""
+    target = target.strip()
+    
+    # IP Address detection
+    try:
+        ipaddress.ip_address(target)
+        return "ip_address"
+    except ValueError:
+        pass
+    
+    # Network range detection (CIDR)
+    try:
+        ipaddress.ip_network(target, strict=False)
+        return "network_range"
+    except ValueError:
+        pass
+    
+    # Hash detection (MD5, SHA1, SHA256, SHA512)
+    if re.match(r'^[a-fA-F0-9]{32}$', target):
+        return "md5_hash"
+    elif re.match(r'^[a-fA-F0-9]{40}$', target):
+        return "sha1_hash"
+    elif re.match(r'^[a-fA-F0-9]{64}$', target):
+        return "sha256_hash"
+    elif re.match(r'^[a-fA-F0-9]{128}$', target):
+        return "sha512_hash"
+    
+    # URL detection
+    if target.startswith(('http://', 'https://', 'ftp://', 'ftps://')):
+        return "url"
+    
+    # Domain detection
+    domain_pattern = r'^([a-zA-Z0-9]([a-zA-Z0-9\-]{0,61}[a-zA-Z0-9])?\.)+[a-zA-Z]{2,}$'
+    if re.match(domain_pattern, target):
+        return "domain"
+    
+    # Email detection
+    email_pattern = r'^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$'
+    if re.match(email_pattern, target):
+        return "email"
+    
+    # File path detection (Windows/Linux)
+    if ('\\' in target and ':' in target) or target.startswith('/'):
+        return "file_path"
+    
+    # Registry key detection
+    if target.startswith(('HKEY_', 'HKLM\\', 'HKCU\\', 'HKCR\\')):
+        return "registry_key"
+    
+    # Process name/command detection
+    if target.endswith('.exe') or '\\' in target or '/' in target:
+        return "process_indicator"
+    
+    return "unknown"
+
+def comprehensive_target_analysis(target: str, target_type: str, analysis_scope: str):
+    """Comprehensive analysis of any target type with realistic intelligence"""
+    analysis_id = f"TARGET-{datetime.now().strftime('%Y%m%d-%H%M%S')}"
+    
+    base_analysis = {
+        "target_id": analysis_id,
+        "target": target,
+        "target_type": target_type,
+        "analysis_timestamp": datetime.now().isoformat(),
+        "confidence_score": 0.5,
+        "threat_level": "UNKNOWN",
+        "analysis_scope": analysis_scope
+    }
+    
+    # IP Address Analysis
+    if target_type == "ip_address":
+        try:
+            ip = ipaddress.ip_address(target)
+            
+            # Check against threat intelligence
+            for threat_ip in ADVANCED_THREAT_INTELLIGENCE["malicious_ips"]:
+                if target == threat_ip["ip"]:
+                    base_analysis.update({
+                        "threat_level": "HIGH",
+                        "confidence_score": 0.95,
+                        "reputation": "MALICIOUS",
+                        "apt_attribution": threat_ip.get("apt"),
+                        "threat_categories": [threat_ip["reputation"]],
+                        "first_seen": threat_ip["first_seen"],
+                        "geolocation": {"country": "Unknown", "region": "Unknown"},
+                        "network_analysis": {
+                            "open_ports": [80, 443, 22, 3389] if random.random() > 0.5 else [],
+                            "services": ["HTTP", "HTTPS", "SSH"] if random.random() > 0.6 else [],
+                            "vulnerabilities": random.randint(0, 5)
+                        }
+                    })
+                    break
+            else:
+                if ip.is_private:
+                    base_analysis.update({
+                        "threat_level": "LOW",
+                        "confidence_score": 0.3,
+                        "reputation": "INTERNAL",
+                        "network_segment": "Private Network"
+                    })
+                else:
+                    base_analysis.update({
+                        "threat_level": "MEDIUM",
+                        "confidence_score": 0.4,
+                        "reputation": "UNKNOWN",
+                        "requires_investigation": True
+                    })
+        except Exception as e:
+            base_analysis["error"] = f"IP analysis failed: {str(e)}"
+    
+    # Domain Analysis
+    elif target_type == "domain":
+        for threat_domain in ADVANCED_THREAT_INTELLIGENCE["suspicious_domains"]:
+            if target.lower() == threat_domain["domain"].lower():
+                base_analysis.update({
+                    "threat_level": "HIGH",
+                    "confidence_score": 0.92,
+                    "reputation": "MALICIOUS",
+                    "threat_categories": [threat_domain["type"]],
+                    "dns_analysis": {
+                        "a_records": ["192.168.1.100"],
+                        "mx_records": ["mail.suspicious-domain.com"],
+                        "txt_records": ["v=spf1 include:_spf.google.com ~all"]
+                    },
+                    "similarity_analysis": {
+                        "legitimate_target": threat_domain["similarity"],
+                        "typosquatting_score": 0.85
+                    }
+                })
+                break
+        else:
+            base_analysis.update({
+                "threat_level": "LOW" if any(trusted in target for trusted in ["google", "microsoft", "amazon"]) else "MEDIUM",
+                "confidence_score": 0.6,
+                "reputation": "UNKNOWN",
+                "domain_age": f"{random.randint(30, 3650)} days",
+                "registrar": "Unknown Registrar"
+            })
+    
+    # Hash Analysis
+    elif target_type in ["md5_hash", "sha1_hash", "sha256_hash", "sha512_hash"]:
+        # Check against malware families
+        malware_families = list(ADVANCED_THREAT_INTELLIGENCE["malware_families"].keys())
+        if random.random() > 0.3:  # 70% chance of finding match
+            family = random.choice(malware_families)
+            family_info = ADVANCED_THREAT_INTELLIGENCE["malware_families"][family]
+            base_analysis.update({
+                "threat_level": "CRITICAL",
+                "confidence_score": 0.98,
+                "reputation": "MALICIOUS",
+                "malware_family": family,
+                "malware_type": family_info["type"],
+                "techniques": family_info["techniques"],
+                "file_analysis": {
+                    "file_size": f"{random.randint(1024, 10485760)} bytes",
+                    "file_type": "PE32 executable",
+                    "compilation_timestamp": (datetime.now() - timedelta(days=random.randint(1, 365))).strftime("%Y-%m-%d"),
+                    "entropy": round(random.uniform(6.5, 7.9), 2),
+                    "suspicious_strings": ["cmd.exe", "powershell.exe", "reg.exe"]
+                }
+            })
+        else:
+            base_analysis.update({
+                "threat_level": "LOW",
+                "confidence_score": 0.2,
+                "reputation": "UNKNOWN",
+                "hash_not_found": True
+            })
+    
+    # URL Analysis
+    elif target_type == "url":
+        if any(suspicious in target.lower() for suspicious in ["login", "secure", "update", "verify", "account"]):
+            base_analysis.update({
+                "threat_level": "HIGH",
+                "confidence_score": 0.85,
+                "reputation": "SUSPICIOUS",
+                "threat_categories": ["Phishing", "Credential Harvesting"],
+                "url_analysis": {
+                    "redirects": random.randint(0, 3),
+                    "suspicious_parameters": ["token", "redirect", "login"],
+                    "ssl_certificate": "Invalid" if random.random() > 0.3 else "Valid",
+                    "content_type": "text/html"
+                }
+            })
+        else:
+            base_analysis.update({
+                "threat_level": "MEDIUM",
+                "confidence_score": 0.5,
+                "reputation": "UNKNOWN"
+            })
+    
+    # Generate recommendations based on analysis
+    recommendations = []
+    if base_analysis.get("threat_level") == "CRITICAL":
+        recommendations.extend([
+            "IMMEDIATE ACTION REQUIRED - Isolate affected systems",
+            "Block IOC at network perimeter (firewall/proxy)",
+            "Initiate incident response procedures",
+            "Conduct forensic analysis of affected systems"
+        ])
+    elif base_analysis.get("threat_level") == "HIGH":
+        recommendations.extend([
+            "HIGH PRIORITY - Monitor for additional indicators",
+            "Implement enhanced logging for related activity",
+            "Consider blocking at security controls",
+            "Brief security team on threat intelligence"
+        ])
+    else:
+        recommendations.extend([
+            "Continue monitoring for suspicious activity",
+            "Add to watch list for future correlation",
+            "Review in context of other security events"
+        ])
+    
+    base_analysis["recommendations"] = recommendations
+    return base_analysis
+
+def analyze_network_ioc(indicator: str, ioc_type: str):
+    """Legacy IOC analysis function - maintained for compatibility"""
+    analysis = {
+        "indicator": indicator,
+        "type": ioc_type,
+        "reputation": "UNKNOWN",
+        "threat_types": [],
+        "apt_attribution": None,
+        "ttps": [],
+        "first_seen": None,
+        "last_seen": None,
+        "confidence": 0.5
+    }
+    
+    if ioc_type == "ip":
+        try:
+            ip = ipaddress.ip_address(indicator)
+            if ip.is_private:
+                analysis["reputation"] = "INTERNAL"
+                analysis["threat_types"] = ["Internal Network"]
+            else:
+                # Check against advanced threat intel
+                for threat_ip in ADVANCED_THREAT_INTELLIGENCE["malicious_ips"]:
+                    if indicator == threat_ip["ip"]:
+                        analysis["reputation"] = "MALICIOUS"
+                        analysis["threat_types"] = [threat_ip["reputation"]]
+                        analysis["apt_attribution"] = threat_ip.get("apt")
+                        analysis["first_seen"] = threat_ip["first_seen"]
+                        analysis["confidence"] = 0.95
+                        
+                        # Add APT TTPs
+                        if analysis["apt_attribution"]:
+                            apt_info = ADVANCED_THREAT_INTELLIGENCE["apt_groups"].get(analysis["apt_attribution"])
+                            if apt_info:
+                                analysis["ttps"] = apt_info["ttps"]
+                        break
+        except ValueError:
+            analysis["reputation"] = "INVALID"
+    
+    elif ioc_type == "domain":
+        for threat_domain in ADVANCED_THREAT_INTELLIGENCE["suspicious_domains"]:
+            if indicator.lower() == threat_domain["domain"].lower():
+                analysis["reputation"] = "MALICIOUS"
+                analysis["threat_types"] = [threat_domain["type"]]
+                analysis["confidence"] = 0.92
+                break
+        
+        # Check for suspicious patterns
+        if any(bad in indicator.lower() for bad in ["malware", "phish", "bot", "hack", "c2", "panel"]):
+            if analysis["reputation"] == "UNKNOWN":
+                analysis["reputation"] = "SUSPICIOUS"
+                analysis["threat_types"] = ["Potentially Malicious Domain"]
+                analysis["confidence"] = 0.75
+    
+    elif ioc_type == "hash":
+        # Simulate hash analysis against malware families
+        malware_families = list(ADVANCED_THREAT_INTELLIGENCE["malware_families"].keys())
+        if len(indicator) in [32, 40, 64]:  # MD5, SHA1, SHA256 lengths
+            analysis["reputation"] = "SUSPICIOUS"
+            analysis["threat_types"] = [random.choice(malware_families)]
+            analysis["confidence"] = 0.85
+            
+            # Add technique information
+            family = analysis["threat_types"][0]
+            family_info = ADVANCED_THREAT_INTELLIGENCE["malware_families"].get(family)
+            if family_info:
+                analysis["ttps"] = family_info["techniques"]
+    
+    elif ioc_type == "url":
+        # URL analysis
+        if any(suspicious in indicator.lower() for suspicious in ["login", "secure", "update", "verify"]):
+            analysis["reputation"] = "SUSPICIOUS"
+            analysis["threat_types"] = ["Phishing", "Credential Harvesting"]
+            analysis["confidence"] = 0.70
+    
+    # Set default timestamps if not already set
+    if not analysis["first_seen"]:
+        analysis["first_seen"] = (datetime.now() - timedelta(days=random.randint(1, 90))).strftime("%Y-%m-%d")
+    analysis["last_seen"] = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+    
+    return analysis
+    """Advanced IOC analysis with APT attribution and TTPs"""
+    analysis = {
+        "indicator": indicator,
+        "type": ioc_type,
+        "reputation": "UNKNOWN",
+        "threat_types": [],
+        "apt_attribution": None,
+        "ttps": [],
+        "first_seen": None,
+        "last_seen": None,
+        "confidence": 0.5
+    }
+    
+    if ioc_type == "ip":
+        try:
+            ip = ipaddress.ip_address(indicator)
+            if ip.is_private:
+                analysis["reputation"] = "INTERNAL"
+                analysis["threat_types"] = ["Internal Network"]
+            else:
+                # Check against advanced threat intel
+                for threat_ip in ADVANCED_THREAT_INTELLIGENCE["malicious_ips"]:
+                    if indicator == threat_ip["ip"]:
+                        analysis["reputation"] = "MALICIOUS"
+                        analysis["threat_types"] = [threat_ip["reputation"]]
+                        analysis["apt_attribution"] = threat_ip.get("apt")
+                        analysis["first_seen"] = threat_ip["first_seen"]
+                        analysis["confidence"] = 0.95
+                        
+                        # Add APT TTPs
+                        if analysis["apt_attribution"]:
+                            apt_info = ADVANCED_THREAT_INTELLIGENCE["apt_groups"].get(analysis["apt_attribution"])
+                            if apt_info:
+                                analysis["ttps"] = apt_info["ttps"]
+                        break
+        except ValueError:
+            analysis["reputation"] = "INVALID"
+    
+    elif ioc_type == "domain":
+        for threat_domain in ADVANCED_THREAT_INTELLIGENCE["suspicious_domains"]:
+            if indicator.lower() == threat_domain["domain"].lower():
+                analysis["reputation"] = "MALICIOUS"
+                analysis["threat_types"] = [threat_domain["type"]]
+                analysis["confidence"] = 0.92
+                break
+        
+        # Check for suspicious patterns
+        if any(bad in indicator.lower() for bad in ["malware", "phish", "bot", "hack", "c2", "panel"]):
+            if analysis["reputation"] == "UNKNOWN":
+                analysis["reputation"] = "SUSPICIOUS"
+                analysis["threat_types"] = ["Potentially Malicious Domain"]
+                analysis["confidence"] = 0.75
+    
+    elif ioc_type == "hash":
+        # Simulate hash analysis against malware families
+        malware_families = list(ADVANCED_THREAT_INTELLIGENCE["malware_families"].keys())
+        if len(indicator) in [32, 40, 64]:  # MD5, SHA1, SHA256 lengths
+            analysis["reputation"] = "SUSPICIOUS"
+            analysis["threat_types"] = [random.choice(malware_families)]
+            analysis["confidence"] = 0.85
+            
+            # Add technique information
+            family = analysis["threat_types"][0]
+            family_info = ADVANCED_THREAT_INTELLIGENCE["malware_families"].get(family)
+            if family_info:
+                analysis["ttps"] = family_info["techniques"]
+    
+    elif ioc_type == "url":
+        # URL analysis
+        if any(suspicious in indicator.lower() for suspicious in ["login", "secure", "update", "verify"]):
+            analysis["reputation"] = "SUSPICIOUS"
+            analysis["threat_types"] = ["Phishing", "Credential Harvesting"]
+            analysis["confidence"] = 0.70
+    
+    # Set default timestamps if not already set
+    if not analysis["first_seen"]:
+        analysis["first_seen"] = (datetime.now() - timedelta(days=random.randint(1, 90))).strftime("%Y-%m-%d")
+    analysis["last_seen"] = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+    
+    return analysis
+
+@app.get("/", response_class=HTMLResponse)
+async def cyber_operations_dashboard():
+    """Advanced Cybersecurity Operations Dashboard"""
+    html_content = """
+    <!DOCTYPE html>
+    <html>
+    <head>
+        <title>Cyber-LLM Operations Center</title>
+        <meta charset="UTF-8">
+        <meta name="viewport" content="width=device-width, initial-scale=1.0">
+        <style>
+            * { margin: 0; padding: 0; box-sizing: border-box; }
+            body { 
+                font-family: 'Courier New', monospace; 
+                background: #0a0a0a; 
+                color: #00ff00; 
+                line-height: 1.4;
+                overflow-x: auto;
+            }
+            .container { max-width: 1400px; margin: 0 auto; padding: 20px; }
+            
+            .header { 
+                background: linear-gradient(135deg, #1a1a1a, #2a2a2a);
+                padding: 20px; 
+                border-radius: 12px; 
+                margin-bottom: 20px;
+                border: 2px solid #333;
+                box-shadow: 0 4px 8px rgba(0,255,0,0.1);
+            }
+            
+            .status-grid { 
+                display: grid; 
+                grid-template-columns: repeat(auto-fit, minmax(280px, 1fr)); 
+                gap: 15px; 
+                margin-bottom: 25px;
+            }
+            
+            .status-card { 
+                background: #1a1a1a; 
+                padding: 15px; 
+                border-radius: 8px;
+                border: 1px solid #333;
+                transition: all 0.3s ease;
+            }
+            .status-card:hover { 
+                border-color: #00ff00;
+                box-shadow: 0 2px 10px rgba(0,255,0,0.2);
+            }
+            
+            .main-grid { 
+                display: grid; 
+                grid-template-columns: 1fr 1fr; 
+                gap: 20px; 
+                margin-bottom: 25px;
+            }
+            
+            .panel { 
+                background: #1a1a1a; 
+                padding: 20px; 
+                border-radius: 12px;
+                border: 1px solid #333;
+                height: fit-content;
+            }
+            
+            .tools-grid { 
+                display: grid; 
+                grid-template-columns: repeat(auto-fit, minmax(300px, 1fr)); 
+                gap: 20px;
+            }
+            
+            .tool-panel { 
+                background: #1a1a1a; 
+                padding: 20px; 
+                border-radius: 12px;
+                border: 1px solid #333;
+            }
+            
+            .green { color: #00ff00; }
+            .cyan { color: #00ffff; }
+            .yellow { color: #ffff00; }
+            .red { color: #ff4444; }
+            .orange { color: #ff8800; }
+            
+            input, textarea, select { 
+                background: #2a2a2a; 
+                color: #00ff00; 
+                border: 1px solid #444; 
+                padding: 8px; 
+                border-radius: 4px;
+                width: 100%;
+                margin: 5px 0;
+            }
+            
+            button { 
+                background: #003300; 
+                color: #00ff00; 
+                border: 1px solid #006600; 
+                padding: 10px 20px; 
+                border-radius: 5px; 
+                cursor: pointer;
+                transition: all 0.2s ease;
+            }
+            button:hover { 
+                background: #004400;
+                box-shadow: 0 2px 8px rgba(0,255,0,0.3);
+            }
+            
+            .result { 
+                background: #002200; 
+                padding: 15px; 
+                border-radius: 8px; 
+                margin: 10px 0;
+                border-left: 4px solid #00ff00;
+            }
+            
+            .threat-high { color: #ff4444; }
+            .threat-medium { color: #ffaa00; }
+            .threat-low { color: #ffff00; }
+            .threat-info { color: #00ffff; }
+            
+            .log-entry { 
+                font-family: monospace; 
+                font-size: 12px; 
+                padding: 5px; 
+                margin: 2px 0;
+                border-left: 3px solid #333;
+                padding-left: 10px;
+            }
+            
+            .metric { text-align: center; }
+            .metric-value { font-size: 24px; font-weight: bold; }
+            .metric-label { font-size: 12px; opacity: 0.8; }
+            
+            @media (max-width: 768px) {
+                .main-grid { grid-template-columns: 1fr; }
+                .status-grid { grid-template-columns: 1fr; }
+                .tools-grid { grid-template-columns: 1fr; }
+            }
+        </style>
+    </head>
+    <body>
+        <div class="container">
+            <!-- Header -->
+            <div class="header">
+                <h1 class="green">🛡️ CYBER-LLM: ADVANCED ADVERSARIAL AI OPERATIONS CENTER</h1>
+                <p class="cyan">Multi-Agent Cybersecurity AI Platform | Red Team Automation | Advanced Persistent Threat Simulation</p>
+                <p class="yellow">
+                    <span class="green">◉ OPERATIONAL</span> | 
+                    Threat Level: <span id="currentThreatLevel">LOADING...</span> | 
+                    Active APT Groups: <span class="orange">5</span> |
+                    Neural Models: <span class="green">ONLINE</span> |
+                    Last Intel Update: <span id="lastUpdate">LOADING...</span>
+                </p>
+                <div style="margin-top: 10px; font-size: 12px;">
+                    <span class="cyan">⚡ Real-time Threat Intelligence</span> | 
+                    <span class="yellow">🎯 Red Team Orchestration</span> | 
+                    <span class="green">🧠 Neural-Symbolic Reasoning</span>
+                </div>
+            </div>
+
+            <!-- Advanced Status Overview -->
+            <div class="status-grid">
+                <div class="status-card">
+                    <div class="metric">
+                        <div class="metric-value red" id="activeThreats">--</div>
+                        <div class="metric-label">🚨 ACTIVE THREATS</div>
+                    </div>
+                </div>
+                <div class="status-card">
+                    <div class="metric">
+                        <div class="metric-value green" id="blockedAttacks">--</div>
+                        <div class="metric-label">⚔️ BLOCKED ATTACKS</div>
+                    </div>
+                </div>
+                <div class="status-card">
+                    <div class="metric">
+                        <div class="metric-value orange" id="compromisedSystems">--</div>
+                        <div class="metric-label">💀 COMPROMISED SYSTEMS</div>
+                    </div>
+                </div>
+                <div class="status-card">
+                    <div class="metric">
+                        <div class="metric-value yellow" id="criticalVulns">--</div>
+                        <div class="metric-label">⚠️ CRITICAL CVEs</div>
+                    </div>
+                </div>
+                <div class="status-card">
+                    <div class="metric">
+                        <div class="metric-value cyan" id="aptActivity">5</div>
+                        <div class="metric-label">🎭 APT GROUPS TRACKED</div>
+                    </div>
+                </div>
+                <div class="status-card">
+                    <div class="metric">
+                        <div class="metric-value green" id="malwareFamilies">12</div>
+                        <div class="metric-label">🦠 MALWARE FAMILIES</div>
+                    </div>
+                </div>
+                <div class="status-card">
+                    <div class="metric">
+                        <div class="metric-value yellow" id="redTeamOps">3</div>
+                        <div class="metric-label">🎯 ACTIVE RED TEAM OPS</div>
+                    </div>
+                </div>
+                <div class="status-card">
+                    <div class="metric">
+                        <div class="metric-value cyan" id="aiAgents">6</div>
+                        <div class="metric-label">🤖 AI AGENTS ONLINE</div>
+                    </div>
+                </div>
+            </div>
+
+            <!-- Advanced Operations Panels -->
+            <div class="main-grid">
+                <div class="panel">
+                    <h2 class="cyan">🎯 UNIFIED TARGET INTELLIGENCE</h2>
+                    <p class="green">Single entry point for comprehensive target analysis - IP, domain, hash, URL, or file</p>
+                    <form id="unifiedTargetForm">
+                        <label class="green">Research Target:</label>
+                        <input type="text" id="targetInput" placeholder="Enter: IP (192.168.1.1), domain (example.com), hash (d41d8cd98f00...), URL, file path, or email" style="width: 100%; margin: 8px 0;">
+                        
+                        <div style="display: grid; grid-template-columns: 1fr 1fr; gap: 10px; margin: 10px 0;">
+                            <div>
+                                <label class="green">Target Type:</label>
+                                <select id="targetType">
+                                    <option value="auto_detect">🔍 Auto-Detect</option>
+                                    <option value="ip_address">🌐 IP Address</option>
+                                    <option value="domain">🔗 Domain/FQDN</option>
+                                    <option value="url">🌍 URL</option>
+                                    <option value="file_hash">📋 File Hash</option>
+                                    <option value="email">📧 Email Address</option>
+                                    <option value="network_range">🔀 Network Range</option>
+                                </select>
+                            </div>
+                            <div>
+                                <label class="green">Analysis Scope:</label>
+                                <select id="analysisScope">
+                                    <option value="quick">⚡ Quick Scan</option>
+                                    <option value="standard">📊 Standard Analysis</option>
+                                    <option value="comprehensive">🔍 Comprehensive</option>
+                                    <option value="deep">🧠 Deep Neural Analysis</option>
+                                </select>
+                            </div>
+                        </div>
+                        
+                        <div style="margin: 10px 0;">
+                            <label class="green">Operation Mode:</label>
+                            <select id="operationMode" style="width: 100%;">
+                                <option value="analysis">🔍 Intelligence Analysis</option>
+                                <option value="threat_hunt">🎯 Proactive Threat Hunt</option>
+                                <option value="red_team">⚔️ Red Team Assessment</option>
+                                <option value="vulnerability_scan">🛡️ Vulnerability Research</option>
+                            </select>
+                        </div>
+                        
+                        <button type="button" onclick="analyzeUnifiedTarget()" style="width: 100%; margin-top: 15px;">
+                            🎯 INITIATE COMPREHENSIVE ANALYSIS
+                        </button>
+                    </form>
+                    <div id="unifiedTargetResult" class="result" style="display: none;"></div>
+                </div>
+
+                <div class="panel">
+                    <h2 class="cyan">🚨 INTELLIGENT INCIDENT RESPONSE</h2>
+                    <p class="green">Advanced incident classification with automated response coordination</p>
+                    <form id="incidentForm">
+                        <label class="green">Incident Classification:</label>
+                        <select id="incidentType">
+                            <option value="apt_intrusion">🎭 APT Intrusion</option>
+                            <option value="malware_infection">🦠 Malware Infection</option>
+                            <option value="data_breach">💀 Data Breach</option>
+                            <option value="ransomware">🔐 Ransomware Attack</option>
+                            <option value="insider_threat">👤 Insider Threat</option>
+                            <option value="supply_chain">🔗 Supply Chain Attack</option>
+                            <option value="zero_day">⚡ Zero-Day Exploit</option>
+                        </select>
+                        <label class="green">Threat Severity:</label>
+                        <select id="severity">
+                            <option value="critical">🔴 CRITICAL - Nation State</option>
+                            <option value="high">🟠 HIGH - Advanced Threat</option>
+                            <option value="medium">🟡 MEDIUM - Standard Threat</option>
+                            <option value="low">🟢 LOW - Opportunistic</option>
+                        </select>
+                        <label class="green">Incident Intelligence:</label>
+                        <textarea id="incidentDesc" rows="4" placeholder="Describe attack vectors, IOCs, affected systems, timeline, and observed TTPs..."></textarea>
+                        <button type="button" onclick="processIncident()">🚨 INITIATE RESPONSE PROTOCOL</button>
+                    </form>
+                    <div id="incidentResult" class="result" style="display: none;"></div>
+                </div>
+            </div>
+
+            <!-- Advanced Security Operations Tools -->
+            <div class="tools-grid">
+                <div class="tool-panel">
+                    <h3 class="yellow">🔒 NEURAL VULNERABILITY ASSESSMENT</h3>
+                    <p style="font-size: 11px; color: #888;">AI-powered vulnerability discovery with exploit prediction</p>
+                    <form id="vulnScanForm">
+                        <select id="scanType">
+                            <option value="neural_deep">🧠 Neural Deep Scan</option>
+                            <option value="apt_focused">🎭 APT-Focused Assessment</option>
+                            <option value="zero_day">⚡ Zero-Day Discovery</option>
+                            <option value="lateral_movement">↔️ Lateral Movement Analysis</option>
+                        </select>
+                        <input type="text" id="scanTarget" placeholder="Target: IP, CIDR, domain, or network segment">
+                        <button type="button" onclick="runVulnScan()">🔍 INITIATE SCAN</button>
+                    </form>
+                    <div id="vulnScanResult" class="result" style="display: none;"></div>
+                </div>
+
+                <div class="tool-panel">
+                    <h3 class="yellow">📊 INTELLIGENT LOG ANALYSIS</h3>
+                    <p style="font-size: 11px; color: #888;">ML-powered anomaly detection and attack pattern recognition</p>
+                    <form id="logAnalysisForm">
+                        <select id="logType">
+                            <option value="siem">🔍 SIEM Events</option>
+                            <option value="edr">🛡️ EDR Telemetry</option>
+                            <option value="network">🌐 Network Flow Logs</option>
+                            <option value="dns">📡 DNS Query Logs</option>
+                            <option value="auth">🔐 Authentication Events</option>
+                        </select>
+                        <textarea id="logData" rows="4" placeholder="Paste security logs, SIEM events, or EDR telemetry..."></textarea>
+                        <button type="button" onclick="analyzeLogData()">📊 ANALYZE PATTERNS</button>
+                    </form>
+                    <div id="logAnalysisResult" class="result" style="display: none;"></div>
+                </div>
+
+                <div class="tool-panel">
+                    <h3 class="yellow">🎯 RED TEAM ORCHESTRATION</h3>
+                    <p style="font-size: 11px; color: #888;">Automated adversary simulation with MITRE ATT&CK mapping</p>
+                    <form id="redTeamForm">
+                        <select id="attackTactic">
+                            <option value="initial_access">🚪 Initial Access</option>
+                            <option value="execution">⚡ Execution</option>
+                            <option value="persistence">🔄 Persistence</option>
+                            <option value="privilege_escalation">⬆️ Privilege Escalation</option>
+                            <option value="lateral_movement">↔️ Lateral Movement</option>
+                            <option value="exfiltration">📤 Data Exfiltration</option>
+                        </select>
+                        <select id="aptEmulation">
+                            <option value="apt28">🎭 APT28 (Fancy Bear)</option>
+                            <option value="apt29">🐻 APT29 (Cozy Bear)</option>
+                            <option value="apt1">🐉 APT1 (Comment Crew)</option>
+                            <option value="lazarus">💀 Lazarus Group</option>
+                            <option value="custom">🎯 Custom Scenario</option>
+                        </select>
+                        <input type="text" id="redTeamTarget" placeholder="Simulation environment or target range">
+                        <button type="button" onclick="launchRedTeamOp()">🎯 LAUNCH OPERATION</button>
+                    </form>
+                    <div id="redTeamResult" class="result" style="display: none;"></div>
+                </div>
+
+                <div class="tool-panel">
+                    <h3 class="yellow">🧠 AI AGENT ORCHESTRATOR</h3>
+                    <p style="font-size: 11px; color: #888;">Multi-agent cybersecurity AI coordination and task management</p>
+                    <div style="margin: 10px 0;">
+                        <div class="green" style="font-size: 12px;">🤖 Active Agents:</div>
+                        <div style="margin: 5px 0; font-size: 11px;">
+                            <span class="cyan">• Reconnaissance Agent</span> - <span class="green">ONLINE</span><br>
+                            <span class="cyan">• Exploitation Agent</span> - <span class="green">ONLINE</span><br>
+                            <span class="cyan">• Post-Exploit Agent</span> - <span class="green">ONLINE</span><br>
+                            <span class="cyan">• Safety Agent</span> - <span class="green">MONITORING</span><br>
+                            <span class="cyan">• Orchestrator Agent</span> - <span class="green">COORDINATING</span><br>
+                            <span class="cyan">• Intel Agent</span> - <span class="green">ANALYZING</span>
+                        </div>
+                    </div>
+                    <button type="button" onclick="viewAgentStatus()">👥 VIEW AGENT MATRIX</button>
+                    <button type="button" onclick="orchestrateAgents()">� ORCHESTRATE MISSION</button>
+                </div>
+
+                <div class="tool-panel">
+                    <h3 class="yellow">📡 THREAT HUNTING</h3>
+                    <p style="font-size: 11px; color: #888;">Proactive threat hunting with behavioral analysis</p>
+                    <form id="huntingForm">
+                        <select id="huntingType">
+                            <option value="apt_behavior">🎭 APT Behavior Patterns</option>
+                            <option value="living_off_land">🏠 Living-off-the-Land</option>
+                            <option value="insider_threat">👤 Insider Threat Indicators</option>
+                            <option value="supply_chain">🔗 Supply Chain Anomalies</option>
+                        </select>
+                        <input type="text" id="huntingScope" placeholder="Hunt scope: network, endpoints, or specific systems">
+                        <button type="button" onclick="launchThreatHunt()">🔍 INITIATE HUNT</button>
+                    </form>
+                    <div id="huntingResult" class="result" style="display: none;"></div>
+                </div>
+
+                <div class="tool-panel">
+                    <h3 class="yellow">📈 ADVANCED API ACCESS</h3>
+                    <p style="font-size: 11px; color: #888;">Programmatic access to Cyber-LLM capabilities</p>
+                    <ul style="font-size: 12px; line-height: 1.6;">
+                        <li><a href="/docs" class="cyan">📚 Interactive API Documentation</a></li>
+                        <li><a href="/health" class="cyan">💚 System Health & Status</a></li>
+                        <li><a href="/threat_intelligence" class="cyan">🔍 Threat Intel API</a></li>
+                        <li><a href="/vulnerability_scan" class="cyan">🔒 Vulnerability Assessment API</a></li>
+                        <li><a href="/red_team_api" class="cyan">🎯 Red Team Operations API</a></li>
+                        <li><a href="/ai_agents" class="cyan">🤖 AI Agent Management API</a></li>
+                    </ul>
+                    <div style="margin-top: 10px;">
+                        <button type="button" onclick="exportThreatIntel()">📁 EXPORT THREAT INTEL</button>
+                        <button type="button" onclick="generateReport()">📊 GENERATE REPORT</button>
+                    </div>
+                </div>
+            </div>
+        </div>
+
+        <script>
+            // Auto-refresh threat data every 30 seconds
+            setInterval(updateThreatOverview, 30000);
+            
+            // Initial load
+            updateThreatOverview();
+
+            async function updateThreatOverview() {
+                try {
+                    const response = await fetch('/threat_overview');
+                    const data = await response.json();
+                    
+                    document.getElementById('activeThreats').textContent = data.active_threats;
+                    document.getElementById('blockedAttacks').textContent = data.blocked_attacks;
+                    document.getElementById('compromisedSystems').textContent = data.compromised_systems;
+                    document.getElementById('criticalVulns').textContent = data.critical_vulnerabilities;
+                    document.getElementById('currentThreatLevel').textContent = data.threat_level;
+                    document.getElementById('currentThreatLevel').className = getThreatLevelClass(data.threat_level);
+                    document.getElementById('lastUpdate').textContent = data.last_update;
+                } catch (error) {
+                    console.error('Failed to update threat overview:', error);
+                }
+            }
+
+            function getThreatLevelClass(level) {
+                const classes = {
+                    'CRITICAL': 'red',
+                    'HIGH': 'orange', 
+                    'MEDIUM': 'yellow',
+                    'LOW': 'green'
+                };
+                return classes[level] || 'green';
+            }
+
+            async function analyzeUnifiedTarget() {
+                const target = document.getElementById('targetInput').value;
+                const targetType = document.getElementById('targetType').value;
+                const analysisScope = document.getElementById('analysisScope').value;
+                const operationMode = document.getElementById('operationMode').value;
+                
+                if (!target.trim()) {
+                    alert('Please enter a target to analyze (IP, domain, hash, URL, file, etc.)');
+                    return;
+                }
+                
+                try {
+                    const response = await fetch('/analyze_target', {
+                        method: 'POST',
+                        headers: { 'Content-Type': 'application/json' },
+                        body: JSON.stringify({
+                            target: target,
+                            target_type: targetType,
+                            analysis_scope: analysisScope,
+                            operation_mode: operationMode
+                        })
+                    });
+                    
+                    const result = await response.json();
+                    
+                    let analysisDetails = '';
+                    const analysisResults = result.analysis_results;
+                    
+                    // APT Attribution
+                    if (analysisResults.apt_attribution) {
+                        analysisDetails += `<p><span class="yellow">🎭 APT Attribution:</span> <span class="red">${analysisResults.apt_attribution}</span></p>`;
+                    }
+                    
+                    // Threat Categories
+                    if (analysisResults.threat_categories) {
+                        analysisDetails += `<p><span class="yellow">🏷️ Threat Categories:</span> <span class="orange">${analysisResults.threat_categories.join(', ')}</span></p>`;
+                    }
+                    
+                    // Malware Family
+                    if (analysisResults.malware_family) {
+                        analysisDetails += `<p><span class="yellow">🦠 Malware Family:</span> <span class="red">${analysisResults.malware_family}</span></p>`;
+                        if (analysisResults.techniques) {
+                            analysisDetails += `<p><span class="yellow">⚔️ Techniques:</span> <span class="orange">${analysisResults.techniques.join(', ')}</span></p>`;
+                        }
+                    }
+                    
+                    // Network Analysis
+                    if (analysisResults.network_analysis) {
+                        const network = analysisResults.network_analysis;
+                        analysisDetails += `<div style="margin-top: 10px; padding: 8px; background: #001122; border-radius: 4px;">`;
+                        analysisDetails += `<span class="cyan">🌐 Network Analysis:</span><br>`;
+                        if (network.open_ports && network.open_ports.length > 0) {
+                            analysisDetails += `<span class="yellow">Open Ports:</span> <span class="green">${network.open_ports.join(', ')}</span><br>`;
+                        }
+                        if (network.services && network.services.length > 0) {
+                            analysisDetails += `<span class="yellow">Services:</span> <span class="green">${network.services.join(', ')}</span><br>`;
+                        }
+                        if (network.vulnerabilities !== undefined) {
+                            analysisDetails += `<span class="yellow">Vulnerabilities:</span> <span class="${network.vulnerabilities > 0 ? 'red' : 'green'}">${network.vulnerabilities}</span>`;
+                        }
+                        analysisDetails += `</div>`;
+                    }
+                    
+                    // File Analysis
+                    if (analysisResults.file_analysis) {
+                        const file = analysisResults.file_analysis;
+                        analysisDetails += `<div style="margin-top: 10px; padding: 8px; background: #220011; border-radius: 4px;">`;
+                        analysisDetails += `<span class="cyan">📋 File Analysis:</span><br>`;
+                        analysisDetails += `<span class="yellow">Size:</span> <span class="green">${file.file_size}</span><br>`;
+                        analysisDetails += `<span class="yellow">Type:</span> <span class="green">${file.file_type}</span><br>`;
+                        if (file.entropy) {
+                            analysisDetails += `<span class="yellow">Entropy:</span> <span class="${file.entropy > 7.0 ? 'red' : 'green'}">${file.entropy}</span><br>`;
+                        }
+                        if (file.suspicious_strings) {
+                            analysisDetails += `<span class="yellow">Suspicious Strings:</span> <span class="orange">${file.suspicious_strings.join(', ')}</span>`;
+                        }
+                        analysisDetails += `</div>`;
+                    }
+                    
+                    // URL Analysis
+                    if (analysisResults.url_analysis) {
+                        const url = analysisResults.url_analysis;
+                        analysisDetails += `<div style="margin-top: 10px; padding: 8px; background: #112200; border-radius: 4px;">`;
+                        analysisDetails += `<span class="cyan">🌍 URL Analysis:</span><br>`;
+                        analysisDetails += `<span class="yellow">SSL Certificate:</span> <span class="${url.ssl_certificate === 'Invalid' ? 'red' : 'green'}">${url.ssl_certificate}</span><br>`;
+                        if (url.redirects) {
+                            analysisDetails += `<span class="yellow">Redirects:</span> <span class="${url.redirects > 2 ? 'red' : 'green'}">${url.redirects}</span><br>`;
+                        }
+                        if (url.suspicious_parameters) {
+                            analysisDetails += `<span class="yellow">Suspicious Parameters:</span> <span class="orange">${url.suspicious_parameters.join(', ')}</span>`;
+                        }
+                        analysisDetails += `</div>`;
+                    }
+                    
+                    document.getElementById('unifiedTargetResult').innerHTML = `
+                        <h4 class="cyan">🎯 COMPREHENSIVE TARGET ANALYSIS</h4>
+                        <p><span class="yellow">Target:</span> <span class="green">${result.target}</span></p>
+                        <p><span class="yellow">Type:</span> <span class="green">${result.target_type.toUpperCase().replace('_', ' ')}</span></p>
+                        <p><span class="yellow">Threat Level:</span> <span class="${getThreatLevelClass(result.threat_level)}">${result.threat_level}</span></p>
+                        <p><span class="yellow">Confidence:</span> <span class="green">${(result.confidence_score * 100).toFixed(1)}%</span></p>
+                        <p><span class="yellow">Analysis ID:</span> <span class="cyan">${result.target_id}</span></p>
+                        
+                        ${analysisDetails}
+                        
+                        <div style="margin-top: 15px;">
+                            <h5 class="cyan">🎯 RECOMMENDATIONS:</h5>
+                            <ul>${result.recommendations.map(rec => '<li class="green">• ' + rec + '</li>').join('')}</ul>
+                        </div>
+                        
+                        <div style="margin-top: 10px; padding: 10px; background: #001100; border-radius: 5px;">
+                            <span class="cyan">🧠 Analysis completed using advanced neural-symbolic reasoning and real-time threat intelligence</span>
+                        </div>
+                    `;
+                    document.getElementById('unifiedTargetResult').style.display = 'block';
+                } catch (error) {
+                    alert('Target analysis failed: ' + error.message);
+                }
+            }
+
+            function getThreatLevelClass(level) {
+                const classes = {
+                    'CRITICAL': 'red',
+                    'HIGH': 'orange', 
+                    'MEDIUM': 'yellow',
+                    'LOW': 'green',
+                    'UNKNOWN': 'cyan'
+                };
+                return classes[level] || 'yellow';
+            }
+
+            async function analyzeThreatIntel() {
+                const iocType = document.getElementById('iocType').value;
+                const indicator = document.getElementById('indicator').value;
+                const analysisDepth = document.getElementById('analysisDepth').value;
+                
+                if (!indicator.trim()) {
+                    alert('Please enter an indicator to analyze');
+                    return;
+                }
+                
+                try {
+                    const response = await fetch('/analyze_threat_intel', {
+                        method: 'POST',
+                        headers: { 'Content-Type': 'application/json' },
+                        body: JSON.stringify({
+                            ioc_type: iocType,
+                            indicator: indicator,
+                            analysis_depth: analysisDepth
+                        })
+                    });
+                    
+                    const result = await response.json();
+                    
+                    let aptInfo = '';
+                    if (result.apt_attribution) {
+                        aptInfo = `<p><span class="yellow">APT Attribution:</span> <span class="red">${result.apt_attribution}</span></p>`;
+                    }
+                    
+                    let ttpsInfo = '';
+                    if (result.ttps && result.ttps.length > 0) {
+                        ttpsInfo = `<p><span class="yellow">TTPs:</span> <span class="orange">${result.ttps.join(', ')}</span></p>`;
+                    }
+                    
+                    document.getElementById('threatIntelResult').innerHTML = `
+                        <h4 class="cyan">🔍 ADVANCED THREAT INTELLIGENCE ANALYSIS</h4>
+                        <p><span class="yellow">Indicator:</span> <span class="green">${result.indicator}</span></p>
+                        <p><span class="yellow">Type:</span> <span class="green">${result.type.toUpperCase()}</span></p>
+                        <p><span class="yellow">Reputation:</span> <span class="${getReputationClass(result.reputation)}">${result.reputation}</span></p>
+                        <p><span class="yellow">Confidence:</span> <span class="green">${(result.confidence * 100).toFixed(1)}%</span></p>
+                        ${aptInfo}
+                        <p><span class="yellow">Threat Categories:</span> <span class="orange">${result.threat_types.join(', ')}</span></p>
+                        ${ttpsInfo}
+                        <p><span class="yellow">First Observed:</span> <span class="green">${result.first_seen || 'Unknown'}</span></p>
+                        <p><span class="yellow">Last Activity:</span> <span class="green">${result.last_seen}</span></p>
+                        <div style="margin-top: 10px; padding: 10px; background: #001100; border-radius: 5px;">
+                            <span class="cyan">🧠 Neural Analysis: Advanced pattern matching and behavioral analysis completed</span>
+                        </div>
+                    `;
+                    document.getElementById('threatIntelResult').style.display = 'block';
+                } catch (error) {
+                    alert('Threat intelligence analysis failed: ' + error.message);
+                }
+            }
+
+            function getReputationClass(reputation) {
+                const classes = {
+                    'MALICIOUS': 'red',
+                    'SUSPICIOUS': 'orange',
+                    'UNKNOWN': 'yellow',
+                    'CLEAN': 'green',
+                    'INTERNAL': 'cyan'
+                };
+                return classes[reputation] || 'yellow';
+            }
+
+            async function processIncident() {
+                const incidentType = document.getElementById('incidentType').value;
+                const severity = document.getElementById('severity').value;
+                const description = document.getElementById('incidentDesc').value;
+                
+                if (!description.trim()) {
+                    alert('Please provide incident description');
+                    return;
+                }
+                
+                try {
+                    const response = await fetch('/incident_response', {
+                        method: 'POST',
+                        headers: { 'Content-Type': 'application/json' },
+                        body: JSON.stringify({
+                            incident_type: incidentType,
+                            severity: severity,
+                            description: description,
+                            affected_systems: ['system-01', 'server-02']
+                        })
+                    });
+                    
+                    const result = await response.json();
+                    
+                    document.getElementById('incidentResult').innerHTML = `
+                        <h4 class="cyan">INCIDENT RESPONSE PLAN</h4>
+                        <p><span class="yellow">Incident ID:</span> <span class="green">${result.incident_id}</span></p>
+                        <p><span class="yellow">Priority:</span> <span class="${getSeverityClass(result.priority)}">${result.priority}</span></p>
+                        <p><span class="yellow">Response Team:</span> <span class="green">${result.response_team}</span></p>
+                        <p><span class="yellow">Immediate Actions:</span></p>
+                        <ul>${result.immediate_actions.map(action => '<li class="green">' + action + '</li>').join('')}</ul>
+                        <p><span class="yellow">Timeline:</span> <span class="cyan">${result.estimated_resolution}</span></p>
+                    `;
+                    document.getElementById('incidentResult').style.display = 'block';
+                } catch (error) {
+                    alert('Incident processing failed: ' + error.message);
+                }
+            }
+
+            function getSeverityClass(severity) {
+                const classes = {
+                    'CRITICAL': 'red',
+                    'HIGH': 'orange',
+                    'MEDIUM': 'yellow',
+                    'LOW': 'green'
+                };
+                return classes[severity] || 'yellow';
+            }
+
+            async function runVulnScan() {
+                const scanType = document.getElementById('scanType').value;
+                const target = document.getElementById('scanTarget').value;
+                
+                if (!target.trim()) {
+                    alert('Please specify scan target');
+                    return;
+                }
+                
+                const scanDescriptions = {
+                    'neural_deep': 'Neural network-powered deep vulnerability analysis',
+                    'apt_focused': 'APT-specific vulnerability assessment with TTP mapping',
+                    'zero_day': 'Advanced zero-day vulnerability discovery',
+                    'lateral_movement': 'Lateral movement path analysis'
+                };
+                
+                document.getElementById('vulnScanResult').innerHTML = `
+                    <h4 class="cyan">🔒 NEURAL VULNERABILITY ASSESSMENT</h4>
+                    <p><span class="yellow">Target:</span> <span class="green">${target}</span></p>
+                    <p><span class="yellow">Scan Profile:</span> <span class="green">${scanDescriptions[scanType]}</span></p>
+                    <p><span class="red">🔴 CRITICAL:</span> 3 vulnerabilities (RCE potential)</p>
+                    <p><span class="orange">🟠 HIGH:</span> 8 vulnerabilities (Privilege escalation)</p>
+                    <p><span class="yellow">🟡 MEDIUM:</span> 15 vulnerabilities (Information disclosure)</p>
+                    <p><span class="cyan">🧠 Neural Assessment:</span> <span class="green">Advanced AI analysis completed</span></p>
+                    <div style="margin-top: 10px; padding: 8px; background: #330000; border-radius: 4px;">
+                        <span class="red">⚠️ APT Exploitation Risk: HIGH - Matches known APT28 techniques</span>
+                    </div>
+                `;
+                document.getElementById('vulnScanResult').style.display = 'block';
+            }
+
+            async function launchRedTeamOp() {
+                const tactic = document.getElementById('attackTactic').value;
+                const aptGroup = document.getElementById('aptEmulation').value;
+                const target = document.getElementById('redTeamTarget').value;
+                
+                const tacticDescriptions = {
+                    'initial_access': 'Simulating initial compromise vectors',
+                    'execution': 'Testing command execution capabilities',
+                    'persistence': 'Establishing persistence mechanisms',
+                    'privilege_escalation': 'Escalating privileges on target systems',
+                    'lateral_movement': 'Moving laterally through the network',
+                    'exfiltration': 'Simulating data exfiltration techniques'
+                };
+                
+                const aptDescriptions = {
+                    'apt28': 'Fancy Bear tactics - credential harvesting, lateral movement',
+                    'apt29': 'Cozy Bear tactics - living-off-the-land, stealth persistence',
+                    'apt1': 'Comment Crew tactics - web shells, backdoors',
+                    'lazarus': 'Lazarus Group tactics - destructive payloads, financial theft'
+                };
+                
+                document.getElementById('redTeamResult').innerHTML = `
+                    <h4 class="cyan">🎯 RED TEAM OPERATION STATUS</h4>
+                    <p><span class="yellow">Operation:</span> <span class="orange">${tacticDescriptions[tactic]}</span></p>
+                    <p><span class="yellow">APT Emulation:</span> <span class="red">${aptDescriptions[aptGroup] || 'Custom scenario'}</span></p>
+                    <p><span class="yellow">Target Environment:</span> <span class="green">${target || 'Simulation Lab'}</span></p>
+                    <p><span class="red">🎭 MITRE ATT&CK:</span> Techniques mapped and executing</p>
+                    <p><span class="green">✅ Phase 1:</span> Initial access successful</p>
+                    <p><span class="orange">🔄 Phase 2:</span> Establishing persistence...</p>
+                    <p><span class="yellow">⏳ Phase 3:</span> Lateral movement pending</p>
+                    <div style="margin-top: 10px; padding: 8px; background: #001100; border-radius: 4px;">
+                        <span class="cyan">🤖 AI Orchestration: Multi-agent coordination active</span>
+                    </div>
+                `;
+                document.getElementById('redTeamResult').style.display = 'block';
+            }
+
+            async function launchThreatHunt() {
+                const huntType = document.getElementById('huntingType').value;
+                const scope = document.getElementById('huntingScope').value;
+                
+                const huntDescriptions = {
+                    'apt_behavior': 'Hunting for Advanced Persistent Threat behavioral patterns',
+                    'living_off_land': 'Detecting living-off-the-land techniques',
+                    'insider_threat': 'Identifying insider threat indicators',
+                    'supply_chain': 'Investigating supply chain compromise signals'
+                };
+                
+                document.getElementById('huntingResult').innerHTML = `
+                    <h4 class="cyan">🔍 THREAT HUNTING RESULTS</h4>
+                    <p><span class="yellow">Hunt Type:</span> <span class="orange">${huntDescriptions[huntType]}</span></p>
+                    <p><span class="yellow">Scope:</span> <span class="green">${scope || 'Enterprise Network'}</span></p>
+                    <p><span class="red">🚨 Suspicious Activities:</span> 7 patterns detected</p>
+                    <p><span class="orange">🎭 APT Indicators:</span> 3 potential matches found</p>
+                    <p><span class="yellow">📊 Behavioral Anomalies:</span> 12 anomalous patterns</p>
+                    <p><span class="cyan">🧠 AI Analysis:</span> <span class="green">Machine learning models engaged</span></p>
+                    <div style="margin-top: 10px; padding: 8px; background: #330011; border-radius: 4px;">
+                        <span class="red">⚡ Priority Alert: Potential APT29 activity detected</span>
+                    </div>
+                `;
+                document.getElementById('huntingResult').style.display = 'block';
+            }
+
+            function viewAgentStatus() {
+                alert('🤖 AI AGENT MATRIX\\n\\n• Reconnaissance Agent: ACTIVE - Scanning networks\\n• Exploitation Agent: STANDBY - Ready for tasking\\n• Post-Exploit Agent: ACTIVE - Privilege escalation\\n• Safety Agent: MONITORING - All systems\\n• Orchestrator Agent: COORDINATING - Mission planning\\n• Intel Agent: ANALYZING - Threat patterns');
+            }
+
+            function orchestrateAgents() {
+                alert('🎼 AGENT ORCHESTRATION INITIATED\\n\\nMulti-agent mission coordination started:\\n✅ Threat intel gathering\\n🔄 Vulnerability assessment\\n⏳ Attack simulation prep\\n🛡️ Safety monitoring active');
+            }
+
+            function exportThreatIntel() {
+                const data = {
+                    timestamp: new Date().toISOString(),
+                    platform: 'Cyber-LLM Advanced Operations Center',
+                    threat_intelligence: {
+                        apt_groups: 5,
+                        malicious_ips: 847,
+                        suspicious_domains: 1203,
+                        malware_families: 23,
+                        active_campaigns: 12
+                    },
+                    format: 'JSON'
+                };
+                const blob = new Blob([JSON.stringify(data, null, 2)], {type: 'application/json'});
+                const url = URL.createObjectURL(blob);
+                const a = document.createElement('a');
+                a.href = url;
+                a.download = 'cyber_llm_threat_intel_export.json';
+                a.click();
+            }
+
+            function generateReport() {
+                alert('📊 GENERATING COMPREHENSIVE REPORT\\n\\n• Threat landscape analysis\\n• APT activity summary\\n• Vulnerability assessment results\\n• Red team operation outcomes\\n• AI agent performance metrics\\n\\nReport will be available in 30 seconds...');
+            }
+
+            async function analyzeLogData() {
+                const logType = document.getElementById('logType').value;
+                const logData = document.getElementById('logData').value;
+                
+                if (!logData.trim()) {
+                    alert('Please provide log data to analyze');
+                    return;
+                }
+                
+                const logTypeDescriptions = {
+                    'siem': 'SIEM security event correlation and analysis',
+                    'edr': 'Endpoint Detection & Response telemetry analysis',
+                    'network': 'Network flow pattern and anomaly detection',
+                    'dns': 'DNS query analysis and threat hunting',
+                    'auth': 'Authentication event analysis and insider threats'
+                };
+                
+                document.getElementById('logAnalysisResult').innerHTML = `
+                    <h4 class="cyan">📊 INTELLIGENT LOG ANALYSIS</h4>
+                    <p><span class="yellow">Analysis Type:</span> <span class="green">${logTypeDescriptions[logType]}</span></p>
+                    <p><span class="yellow">Events Processed:</span> <span class="green">${Math.floor(logData.length / 8)}</span></p>
+                    <p><span class="red">🚨 Critical Alerts:</span> 4 high-priority events</p>
+                    <p><span class="orange">⚠️ Suspicious Patterns:</span> 15 anomalous behaviors</p>
+                    <p><span class="yellow">🔍 IOC Matches:</span> 8 indicators found</p>
+                    <p><span class="cyan">🧠 ML Analysis:</span> <span class="green">Behavioral modeling complete</span></p>
+                    <div style="margin-top: 10px; padding: 8px; background: #001122; border-radius: 4px;">
+                        <span class="cyan">🎯 AI Insight: Potential credential stuffing attack detected</span>
+                    </div>
+                `;
+                document.getElementById('logAnalysisResult').style.display = 'block';
+            }
+        </script>
+    </body>
+    </html>
+    """
+    return HTMLResponse(content=html_content, status_code=200)
+
+@app.post("/analyze_target", response_model=TargetAnalysisResponse)
+async def analyze_unified_target(request: UnifiedTargetRequest):
+    """
+    🎯 UNIFIED TARGET ANALYSIS - Single Entry Point for All Intelligence
+    
+    Comprehensive analysis of any target type:
+    • IP addresses and network ranges
+    • Domains and URLs  
+    • File hashes (MD5, SHA1, SHA256)
+    • Email addresses and registry keys
+    • File paths and process indicators
+    
+    Advanced features:
+    • APT attribution with confidence scoring
+    • Real-time threat intelligence correlation
+    • Multi-source IOC validation
+    • MITRE ATT&CK technique mapping
+    """
+    try:
+        # Auto-detect target type if needed
+        if request.target_type == "auto_detect":
+            detected_type = detect_target_type(request.target)
+        else:
+            detected_type = request.target_type
+        
+        # Perform comprehensive analysis
+        analysis_results = comprehensive_target_analysis(
+            request.target, 
+            detected_type, 
+            request.analysis_scope
+        )
+        
+        return TargetAnalysisResponse(
+            target_id=analysis_results["target_id"],
+            target=request.target,
+            target_type=detected_type,
+            threat_level=analysis_results["threat_level"],
+            confidence_score=analysis_results["confidence_score"],
+            analysis_results=analysis_results,
+            recommendations=analysis_results["recommendations"],
+            timestamp=analysis_results["analysis_timestamp"]
+        )
+        
+    except Exception as e:
+        logger.error(f"Unified target analysis failed: {str(e)}")
+        raise HTTPException(status_code=500, detail=f"Analysis failed: {str(e)}")
+
+@app.get("/threat_overview")
+async def get_threat_overview():
+    """Get current threat overview metrics"""
+    return generate_realistic_threat_data()
+
+@app.post("/analyze_threat_intel")
+async def analyze_threat_intelligence(request: ThreatIntelRequest):
+    """Analyze threat intelligence indicators"""
+    try:
+        analysis = analyze_network_ioc(request.indicator, request.ioc_type)
+        
+        return {
+            "indicator": analysis["indicator"],
+            "type": analysis["type"],
+            "reputation": analysis["reputation"],
+            "threat_types": analysis["threat_types"],
+            "confidence": analysis["confidence"],
+            "first_seen": analysis["first_seen"],
+            "last_seen": analysis["last_seen"],
+            "analysis_timestamp": datetime.now().isoformat()
+        }
+    except Exception as e:
+        logger.error(f"Threat intel analysis failed: {str(e)}")
+        raise HTTPException(status_code=500, detail=f"Analysis failed: {str(e)}")
+
+@app.post("/incident_response")
+async def process_incident(request: IncidentResponse):
+    """Process security incident and generate response plan"""
+    try:
+        incident_id = f"INC-{datetime.now().strftime('%Y%m%d-%H%M%S')}"
+        
+        # Generate realistic incident response
+        response_teams = {
+            "critical": "TIER-1 + CISO + External Support",
+            "high": "TIER-1 + Security Manager",
+            "medium": "TIER-2 Security Team",
+            "low": "TIER-3 Security Analyst"
+        }
+        
+        immediate_actions = {
+            "malware": [
+                "Isolate affected systems immediately",
+                "Run full antivirus scan on network",
+                "Block malicious IPs at firewall",
+                "Collect forensic evidence"
+            ],
+            "breach": [
+                "Activate incident response team",
+                "Preserve evidence and logs",
+                "Notify legal and compliance teams",
+                "Begin forensic investigation"
+            ],
+            "phishing": [
+                "Block sender domains/IPs",
+                "Warn all users via security alert",
+                "Check for credential compromise",
+                "Update email security filters"
+            ],
+            "ddos": [
+                "Activate DDoS mitigation",
+                "Contact ISP for upstream filtering",
+                "Scale infrastructure if possible",
+                "Monitor traffic patterns"
+            ]
+        }
+        
+        resolution_times = {
+            "critical": "4-8 hours",
+            "high": "8-24 hours", 
+            "medium": "1-3 days",
+            "low": "3-7 days"
+        }
+        
+        return {
+            "incident_id": incident_id,
+            "incident_type": request.incident_type,
+            "priority": request.severity.upper(),
+            "response_team": response_teams.get(request.severity, "Security Team"),
+            "immediate_actions": immediate_actions.get(request.incident_type, [
+                "Assess impact and scope",
+                "Implement containment measures", 
+                "Begin investigation",
+                "Document findings"
+            ]),
+            "estimated_resolution": resolution_times.get(request.severity, "TBD"),
+            "created_timestamp": datetime.now().isoformat()
+        }
+    except Exception as e:
+        logger.error(f"Incident processing failed: {str(e)}")
+        raise HTTPException(status_code=500, detail=f"Incident processing failed: {str(e)}")
+
+@app.post("/vulnerability_scan")
+async def vulnerability_scan(request: VulnerabilityAssessment):
+    """Perform vulnerability assessment"""
+    try:
+        scan_id = f"SCAN-{datetime.now().strftime('%Y%m%d-%H%M%S')}"
+        
+        # Generate realistic vulnerability results based on advanced intel
+        vulnerabilities = random.sample(ADVANCED_THREAT_INTELLIGENCE["vulnerabilities"], 
+                                       min(len(ADVANCED_THREAT_INTELLIGENCE["vulnerabilities"]), 
+                                           random.randint(2, 4)))
+        
+        return {
+            "scan_id": scan_id,
+            "target": request.target_info,
+            "scan_type": request.scan_type,
+            "vulnerabilities_found": len(vulnerabilities),
+            "critical_count": sum(1 for v in vulnerabilities if v["severity"] == "CRITICAL"),
+            "high_count": sum(1 for v in vulnerabilities if v["severity"] == "HIGH"),
+            "medium_count": sum(1 for v in vulnerabilities if v["severity"] == "MEDIUM"),
+            "vulnerabilities": vulnerabilities,
+            "scan_timestamp": datetime.now().isoformat(),
+            "status": "completed"
+        }
+    except Exception as e:
+        logger.error(f"Vulnerability scan failed: {str(e)}")
+        raise HTTPException(status_code=500, detail=f"Vulnerability scan failed: {str(e)}")
+
+@app.post("/analyze_logs")  
+async def analyze_security_logs(request: LogAnalysisRequest):
+    """Analyze security logs for threats and anomalies"""
+    try:
+        # Simulate log analysis
+        log_lines = request.log_data.split('\n')
+        
+        suspicious_patterns = [
+            "failed login", "access denied", "suspicious activity",
+            "malware detected", "unusual traffic", "privilege escalation"
+        ]
+        
+        threats_found = []
+        for line in log_lines[:50]:  # Analyze first 50 lines
+            for pattern in suspicious_patterns:
+                if pattern in line.lower():
+                    threats_found.append({
+                        "pattern": pattern,
+                        "log_entry": line.strip(),
+                        "severity": random.choice(["HIGH", "MEDIUM", "LOW"])
+                    })
+        
+        return {
+            "analysis_id": f"LOG-{datetime.now().strftime('%Y%m%d-%H%M%S')}",
+            "log_type": request.log_type,
+            "events_analyzed": len(log_lines),
+            "threats_detected": len(threats_found),
+            "threat_details": threats_found[:10],  # Return top 10
+            "analysis_timestamp": datetime.now().isoformat()
+        }
+    except Exception as e:
+        logger.error(f"Log analysis failed: {str(e)}")
+        raise HTTPException(status_code=500, detail=f"Log analysis failed: {str(e)}")
+
+@app.get("/health")
+async def health_check():
+    """System health check"""
+    return {
+        "status": "operational",
+        "platform": "Cyber-LLM Operations Center",
+        "version": "2.0.0",
+        "threat_intel_db": "online",
+        "vulnerability_scanner": "ready",
+        "incident_response": "active", 
+        "timestamp": datetime.now().isoformat()
+    }
+
+@app.get("/threat_intelligence")
+async def threat_intelligence_summary():
+    """Get advanced threat intelligence summary with APT attribution"""
+    return {
+        "total_indicators": len(ADVANCED_THREAT_INTELLIGENCE["malicious_ips"]) + 
+                           len(ADVANCED_THREAT_INTELLIGENCE["suspicious_domains"]) +
+                           len(ADVANCED_THREAT_INTELLIGENCE["vulnerabilities"]),
+        "malicious_ips": len(ADVANCED_THREAT_INTELLIGENCE["malicious_ips"]),
+        "suspicious_domains": len(ADVANCED_THREAT_INTELLIGENCE["suspicious_domains"]),
+        "tracked_apt_groups": len(ADVANCED_THREAT_INTELLIGENCE["apt_groups"]),
+        "malware_families": len(ADVANCED_THREAT_INTELLIGENCE["malware_families"]),
+        "attack_techniques": len(ADVANCED_THREAT_INTELLIGENCE["attack_techniques"]),
+        "recent_vulnerabilities": len(ADVANCED_THREAT_INTELLIGENCE["vulnerabilities"]),
+        "apt_groups": list(ADVANCED_THREAT_INTELLIGENCE["apt_groups"].keys()),
+        "top_malware_families": list(ADVANCED_THREAT_INTELLIGENCE["malware_families"].keys())[:5],
+        "last_updated": datetime.now().isoformat()
+    }
+
+if __name__ == "__main__":
+    import uvicorn
+    port = int(os.environ.get("PORT", 7860))
+    uvicorn.run(app, host="0.0.0.0", port=port)

requirements.txt

@@ -1,14 +1,4 @@
-# Lightweight requirements for HuggingFace Spaces deployment
 fastapi==0.104.1
 uvicorn[standard]==0.24.0
 pydantic==2.5.0
 python-multipart==0.0.6
-httpx==0.25.2
-requests==2.31.0
-jinja2==3.1.2
-aiofiles==23.2.1
-
-# Basic utilities (removing problematic networking libraries)
-dnspython==2.4.2
-cryptography==41.0.7
-psutil==5.9.6

test_app.py

@@ -0,0 +1,67 @@
+#!/usr/bin/env python3
+"""
+Simple test app for HuggingFace Spaces deployment debugging
+"""
+
+from fastapi import FastAPI
+from fastapi.responses import HTMLResponse
+import os
+
+# Create FastAPI app
+app = FastAPI(title="Cyber-LLM Test")
+
+@app.get("/")
+async def root():
+    """Simple test route"""
+    return {"message": "Cyber-LLM API is running!", "status": "online"}
+
+@app.get("/health")
+async def health_check():
+    """Health check endpoint"""
+    return {"status": "healthy", "service": "cyber-llm"}
+
+@app.get("/ui", response_class=HTMLResponse)
+async def simple_ui():
+    """Simple UI test"""
+    html = """
+    <!DOCTYPE html>
+    <html>
+    <head>
+        <title>Cyber-LLM Test</title>
+        <meta charset="UTF-8">
+        <meta name="viewport" content="width=device-width, initial-scale=1.0">
+        <style>
+            body { 
+                font-family: monospace; 
+                background: #0a0a0a; 
+                color: #00ff00; 
+                padding: 20px;
+                text-align: center;
+            }
+            .container { 
+                max-width: 800px; 
+                margin: 0 auto; 
+                border: 2px solid #00ff00; 
+                padding: 40px; 
+                border-radius: 10px;
+            }
+            h1 { color: #ff0040; margin-bottom: 20px; }
+            .status { color: #00ffff; font-size: 18px; }
+        </style>
+    </head>
+    <body>
+        <div class="container">
+            <h1>🛡️ CYBER-LLM OPERATIONS CENTER</h1>
+            <div class="status">✅ SYSTEM ONLINE</div>
+            <p>Advanced Cybersecurity AI Platform</p>
+            <p>HuggingFace Spaces Deployment: <span style="color: #00ffff;">SUCCESS</span></p>
+        </div>
+    </body>
+    </html>
+    """
+    return HTMLResponse(content=html)
+
+if __name__ == "__main__":
+    import uvicorn
+    port = int(os.environ.get("PORT", 7860))
+    uvicorn.run(app, host="0.0.0.0", port=port)