Update app.py

app.py

@@ -1,15 +1,27 @@
-
-#═══════════════════════════════════════════════════════════════════════════════
-    # PRIVATE RED TEAM WEB RECONNAISSANCE FRAMEWORK v3.0 - PART 1
-    #─────────────────────────────────────────────────────────────────────────
-    # Bölümler: 1-7 (Konfigürasyonu, Data Models, Stealth, OSINT, Active Recon, 
-    #Threat Modeling, Attack Graph)
-#═══════════════════════════════════════════════════════════════════════════════
+"""
+╔════════════════════════════════════════════════════════════════════════════╗
+║                                                                            ║
+║        PROFESYONEL HACKER-GRADE PENETRASYON TEST FRAMEWORK                ║
+║              HF SPACES PRIVATE - Sadece Sen Kullanabilir                  ║
+║                                                                            ║
+║  Kombinasyon:                                                             ║
+║  • Your Code (app__2_.py) - Advanced Framework                           ║
+║  • VulnLLM-R-7B Integration - AI Model                                    ║
+║  • Turkish Language - Türkçe Rapor                                        ║
+║  • Real Attack Testing - Gerçek Saldırı Testi                            ║
+║                                                                            ║
+║  Deployment: HF Spaces PRIVATE (Herkese Açık Değil)                      ║
+║  Access: Sadece Sen                                                       ║
+║  Status: Tamamen Legal (Authorized Testing Only)                         ║
+║                                                                            ║
+╚════════════════════════════════════════════════════════════════════════════╝
+"""
 
 import gradio as gr
 import asyncio
 import json
 import aiohttp
+import requests
 from typing import Dict, List, Tuple, Set, Optional
 from dataclasses import dataclass, asdict
 from datetime import datetime
@@ -20,1775 +32,552 @@ import random
 import time
 import hashlib
 from enum import Enum
-import requests
 from bs4 import BeautifulSoup
 import networkx as nx
 import plotly.graph_objects as go
-import plotly.express as px
-from io import BytesIO
-import base64
+from urllib.parse import urljoin, urlparse
 import ssl
 import socket
-import subprocess
-from urllib.parse import urljoin, urlparse
+
+# VulnLLM-R-7B - Optional (İsteğe bağlı)
+try:
+    from transformers import AutoModelForCausalLM, AutoTokenizer
+    import torch
+    VULNLLM_AVAILABLE = True
+except:
+    VULNLLM_AVAILABLE = False
 
 # ════════════════════════════════════════════════════════════════════════════
-# SECTION 1: CONFIGURATION & CONSTANTS
+# SECTION 0: CONFIGURATION
 # ════════════════════════════════════════════════════════════════════════════
 
 class ThreatLevel(Enum):
-    """Threat/Risk Assessment Levels"""
     LOW = 0
     MEDIUM = 1
     HIGH = 2
     CRITICAL = 3
 
 class CVESSeverity(Enum):
-    """CVSS Severity Ratings"""
     CRITICAL = (9.0, 10.0)
     HIGH = (7.0, 8.9)
     MEDIUM = (4.0, 6.9)
     LOW = (0.1, 3.9)
 
-# STRIDE Threat Model
-STRIDE_THREATS = {
-    "Spoofing": {
-        "description": "Identity spoofing",
-        "techniques": ["T1027", "T1556"],
-        "mitigations": ["MFA", "SAML", "OAuth"]
-    },
-    "Tampering": {
-        "description": "Data/Code manipulation",
-        "techniques": ["T1565", "T1491"],
-        "mitigations": ["Input validation", "WAF", "HTTPS"]
-    },
-    "Repudiation": {
-        "description": "Action denial",
-        "techniques": ["T1562"],
-        "mitigations": ["Logging", "Audit trails"]
-    },
-    "InformationDisclosure": {
-        "description": "Data leakage",
-        "techniques": ["T1041", "T1048"],
-        "mitigations": ["Encryption", "DLP"]
-    },
-    "DenialOfService": {
-        "description": "Service unavailability",
-        "techniques": ["T1561"],
-        "mitigations": ["Rate limiting", "DDoS protection"]
-    },
-    "ElevationOfPrivilege": {
-        "description": "Privilege escalation",
-        "techniques": ["T1134", "T1548"],
-        "mitigations": ["RBAC", "Least privilege"]
-    }
+# Türkçe Çeviriler
+TURKCE = {
+    "CRITICAL": "KRİTİK",
+    "HIGH": "YÜKSEK",
+    "MEDIUM": "ORTA",
+    "LOW": "DÜŞÜK",
+    "SQL_INJECTION": "SQL Enjeksiyonu",
+    "XSS": "XSS Saldırısı",
+    "CSRF": "CSRF Zafiyeti",
+    "AUTHENTICATION_BYPASS": "Kimlik Doğrulama Atlatması",
+    "INFORMATION_DISCLOSURE": "Bilgi İfşası",
+    "FOUND": "Bulundu",
+    "VULNERABLE": "ZAFİYETLİ",
 }
-# Extended MITRE ATT&CK Matrix
-MITRE_TECHNIQUES = {
-    "Reconnaissance": {
-        "T1592": "Gather Victim Host Information",
-        "T1593": "Search Open Websites/Domains",
-        "T1594": "Search Victim-Owned Websites",
-        "T1595": "Active Scanning",
-        "T1596": "Search Open Technical Databases",
-        "T1597": "Search Closed Sources",
-        "T1598": "Phishing for Information"
-    },
-    "Initial Access": {
-        "T1190": "Exploit Public-Facing Application",
-        "T1199": "Trusted Relationship",
-        "T1566": "Phishing"
-    },
-    "Execution": {
-        "T1059": "Command and Scripting Interpreter",
-        "T1203": "Exploitation for Client Execution"
-    },
-    "Persistence": {
-        "T1078": "Valid Accounts",
-        "T1547": "Boot or Logon Autostart Execution"
-    },
-    "Privilege Escalation": {
-        "T1134": "Access Token Manipulation",
-        "T1548": "Abuse Elevation Control Mechanism"
-    },
-    "Defense Evasion": {
-        "T1562": "Impair Defenses",
-        "T1036": "Masquerading"
-    },
-    "Credential Access": {
-        "T1110": "Brute Force",
-        "T1187": "Forced Authentication"
-    },
-    "Discovery": {
-        "T1526": "Enumerate External Remote Systems",
-        "T1087": "Account Discovery"
-    },
-    "Lateral Movement": {
-        "T1021": "Remote Services",
-        "T1570": "Lateral Tool Transfer"
-    },
-    "Collection": {
-        "T1113": "Screen Capture",
-        "T1115": "Clipboard Data"
-    },
-    "Command and Control": {
-        "T1071": "Application Layer Protocol",
-        "T1572": "Protocol Tunneling"
-    },
-    "Exfiltration": {
-        "T1041": "Exfiltration Over C2 Channel",
-        "T1048": "Exfiltration Over Alternative Protocol"
-    },
-    "Impact": {
-        "T1531": "Account Access Removal",
-        "T1561": "Disk Wipe"
-    }
+
+STRIDE_THREATS = {
+    "Spoofing": {"description": "Kimlik Spoofing", "techniques": ["T1027", "T1556"]},
+    "Tampering": {"description": "Veri Manipülasyonu", "techniques": ["T1565", "T1491"]},
+    "Repudiation": {"description": "İşlem Reddi", "techniques": ["T1562"]},
+    "InformationDisclosure": {"description": "Bilgi İfşası", "techniques": ["T1041", "T1048"]},
+    "DenialOfService": {"description": "Servis Engelleme", "techniques": ["T1561"]},
+    "ElevationOfPrivilege": {"description": "Yetki Yükseltme", "techniques": ["T1134"]},
 }
-# Technology fingerprints - Extended
+
 TECH_FINGERPRINTS = {
     "Web Servers": {
-        "Apache": [r"Server: Apache", r"X-Powered-By: Apache"],
-        "Nginx": [r"Server: nginx", r"X-Nginx"],
+        "Apache": [r"Server: Apache"],
+        "Nginx": [r"Server: nginx"],
         "IIS": [r"Server: Microsoft-IIS"],
-        "Cloudflare": [r"CF-RAY", r"Cloudflare"],
-        "AWS": [r"X-Amz", r"AmazonS3"],
-        "Azure": [r"Azure", r"Microsoft-IIS"]
     },
     "CMS": {
-        "WordPress": [r"/wp-admin", r"wp-content", r"wp_.*"],
-        "Drupal": [r"/sites/default", r"drupal\\.css"],
-        "Joomla": [r"/administrator", r"com_content"],
-        "Magento": [r"/skin/frontend", r"Mage.Cookies"],
-        "Shopify": [r"cdn.shopify.com", r"Shopify.theme"]
+        "WordPress": [r"/wp-admin", r"wp-content"],
+        "Drupal": [r"/sites/default", r"drupal"],
+        "Joomla": [r"/administrator"],
     },
     "Frameworks": {
         "Django": [r"CSRF", r"django_session"],
-        "Flask": [r"werkzeug", r"Flask"],
-        "Laravel": [r"XSRF-TOKEN", r"laravel_session"],
-        "Spring": [r"JSESSIONID", r"spring"],
-        "Ruby on Rails": [r"_rails", r"authenticity_token"],
-        "ASP.NET": [r"ASP.NET_SessionId", r"__VIEWSTATE"]
-    },
-    "JavaScript": {
-        "React": [r"__REACT", r"react\\.js"],
-        "Vue": [r"__VUE", r"vue\\.js"],
-        "Angular": [r"ng-app", r"angular\\.js"],
-        "jQuery": [r"jquery", r"jQuery"],
-        "Bootstrap": [r"bootstrap", r"data-toggle"]
+        "Flask": [r"flask"],
+        "Laravel": [r"laravel_session"],
     },
-    "Databases": {
-        "MySQL": [r"MySQL", r"sqlstate"],
-        "PostgreSQL": [r"PostgreSQL", r"pg_query"],
-        "MongoDB": [r"MongoDB", r"mongod"],
-        "Redis": [r"Redis", r"redis-cli"]
-    }
 }
 
-# Security Headers to check
 SECURITY_HEADERS = {
     "Strict-Transport-Security": "HSTS",
     "Content-Security-Policy": "CSP",
     "X-Frame-Options": "Clickjacking Protection",
-    "X-Content-Type-Options": "MIME Sniffing Protection",
-    "X-XSS-Protection": "XSS Filter",
-    "Referrer-Policy": "Referrer Control",
-    "Permissions-Policy": "Feature Policy"
+    "X-Content-Type-Options": "MIME Sniffing",
 }
 
-# Common endpoints for discovery
 COMMON_ENDPOINTS = [
-    "", "admin", "api", "login", "test", "debug", "config",
-    "api/users", "api/admin", "api/auth", "api/data", "api/v1",
-    "wp-admin", "wp-login", "administrator", "phpmyadmin",
-    "robots.txt", "sitemap.xml", ".env", ".git", ".htaccess",
-    "backup", "db", "database", "dump", "sql", "old",
-    "dev", "staging", "beta", "uat", "demo",
-    "swagger", "api-docs", "graphql", "graphiql",
-    "actuator", "health", "metrics", "prometheus"
+    "", "admin", "api", "login", "test", "debug",
+    "api/users", "wp-admin", "robots.txt", ".env", ".git",
 ]
 
 # ════════════════════════════════════════════════════════════════════════════
-# SECTION 2: DATA MODELS
+# SECTION 1: DATA MODELS
 # ════════════════════════════════════════════════════════════════════════════
 
-@dataclass
-class IntelligenceIndicator:
-    """IOC - Indicator of Compromise"""
-    type: str
-    value: str
-    confidence: float
-    source: str
-    timestamp: str
-    metadata: Optional[Dict] = None
-
 @dataclass
 class ThreatVector:
-    """Attack surface element"""
-    category: str
-    location: str
-    risk_score: float
-    techniques: List[str]
-    description: str
-    cvss_score: Optional[float] = None
-    cwe_id: Optional[str] = None
-    evidence: Optional[str] = None
+    technique_id: str
+    technique_name: str
+    severity: str
+    likelihood: float
+    impact: str
 
 @dataclass
 class AttackPath:
-    """End-to-end attack chain"""
-    entry_point: str
-    intermediate_steps: List[str]
-    objective: str
-    risk_level: str
-    complexity: float
-    mitre_techniques: List[str] = None
-    
-    def __post_init__(self):
-        if self.mitre_techniques is None:
-            self.mitre_techniques = []
+    name: str
+    description: str
+    steps: List[str]
+    impact: str
+    difficulty: str
 
 @dataclass
 class Vulnerability:
-    """Vulnerability finding"""
     name: str
+    location: str
     description: str
     severity: str
     cvss_score: float
-    cvss_vector: str
-    location: str
-    evidence: str
     remediation: str
-    cwe_id: Optional[str] = None
-    owasp_category: Optional[str] = None
-    mitre_techniques: List[str] = None
+
+# ════════════════════════════════════════════════════════════════════════════
+# SECTION 2: VULNLLM-R-7B INTEGRATION
+# ════════════════════════════════════════════════════════════════════════════
+
+class VulnLLMAnalyzer:
+    """VulnLLM-R-7B AI Model"""
+    
+    def __init__(self):
+        self.initialized = False
+        if VULNLLM_AVAILABLE:
+            try:
+                self.device = "cuda" if torch.cuda.is_available() else "cpu"
+                self.tokenizer = AutoTokenizer.from_pretrained("UCSB-SURFI/VulnLLM-R-7B")
+                self.model = AutoModelForCausalLM.from_pretrained(
+                    "UCSB-SURFI/VulnLLM-R-7B",
+                    torch_dtype=torch.float16 if self.device == "cuda" else torch.float32,
+                    device_map=self.device
+                )
+                self.initialized = True
+            except:
+                pass
     
-    def __post_init__(self):
-        if self.mitre_techniques is None:
-            self.mitre_techniques = []
+    async def analyze(self, text: str) -> str:
+        """AI Analysis"""
+        if not self.initialized:
+            return "VulnLLM Model not available"
+        
+        try:
+            inputs = self.tokenizer(text, return_tensors="pt").to(self.device)
+            with torch.no_grad():
+                outputs = self.model.generate(inputs.input_ids, max_new_tokens=256)
+            return self.tokenizer.decode(outputs[0], skip_special_tokens=True)
+        except:
+            return "Analysis failed"
 
 # ════════════════════════════════════════════════════════════════════════════
-# SECTION 3: STEALTH & OPSEC ENGINE
+# SECTION 3: STEALTH CONFIGURATION
 # ════════════════════════════════════════════════════════════════════════════
 
 class StealthConfig:
-    """Anti-detection & evasion configuration"""
-    
-    def __init__(self, threat_level: ThreatLevel = ThreatLevel.MEDIUM):
+    def __init__(self, threat_level: ThreatLevel):
         self.threat_level = threat_level
-        
-        self.delay_ranges = {
-            ThreatLevel.LOW: (100, 300),
-            ThreatLevel.MEDIUM: (500, 2000),
-            ThreatLevel.HIGH: (2000, 5000),
-            ThreatLevel.CRITICAL: (5000, 15000)
-        }
-        
-        self.max_concurrent = {
-            ThreatLevel.LOW: 1,
-            ThreatLevel.MEDIUM: 2,
-            ThreatLevel.HIGH: 5,
-            ThreatLevel.CRITICAL: 10
-        }
+        if threat_level == ThreatLevel.LOW:
+            self.delay = 2.0
+            self.concurrent = 1
+            self.timeout = 20
+        elif threat_level == ThreatLevel.MEDIUM:
+            self.delay = 1.0
+            self.concurrent = 2
+            self.timeout = 15
+        else:
+            self.delay = 0.5
+            self.concurrent = 5
+            self.timeout = 10
         
         self.user_agents = [
-            "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36",
-            "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36",
-            "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36",
-            "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:121.0) Gecko/20100101 Firefox/121.0",
-            "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/17.2 Safari/605.1.15",
-            "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Edge/120.0.0.0"
+            "Mozilla/5.0 (Windows NT 10.0; Win64; x64)",
+            "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7)",
+            "Mozilla/5.0 (X11; Linux x86_64)",
         ]
-        
-        self.proxies = []
-        self.current_proxy = 0
-    
-    def get_delay(self) -> float:
-        """Random delay to avoid pattern detection"""
-        min_d, max_d = self.delay_ranges[self.threat_level]
-        return random.uniform(min_d, max_d) / 1000
-    
-    def get_headers(self) -> Dict[str, str]:
-        """Anti-fingerprinting headers"""
-        headers = {
-            "User-Agent": random.choice(self.user_agents),
-            "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8",
-            "Accept-Encoding": random.choice(["gzip, deflate", "gzip, deflate, br"]),
-            "Accept-Language": random.choice(["en-US,en;q=0.9", "en-US,en;q=0.9,pt;q=0.8", "en-GB,en;q=0.9"]),
-            "Cache-Control": "no-cache",
-            "DNT": "1",
-            "Connection": "keep-alive",
-            "Upgrade-Insecure-Requests": "1",
-            "Sec-Fetch-Dest": "document",
-            "Sec-Fetch-Mode": "navigate",
-            "Sec-Fetch-Site": "none",
-            "Sec-Fetch-User": "?1"
-        }
-        return headers
-    
-    def get_proxy(self) -> Optional[Dict]:
-        """Rotate proxies if available"""
-        if not self.proxies:
-            return None
-        proxy = self.proxies[self.current_proxy % len(self.proxies)]
-        self.current_proxy += 1
-        return proxy
 
 # ════════════════════════════════════════════════════════════════════════════
-# SECTION 4: PASSIVE OSINT ENGINE
+# SECTION 4: RECONNAISSANCE ENGINES
 # ════════════════════════════════════════════════════════════════════════════
+
 class PassiveOSINTEngine:
-    """Passive reconnaissance without alerting target"""
-    
-    def __init__(self, config: StealthConfig):
-        self.config = config
-        self.indicators: Dict[str, List[IntelligenceIndicator]] = defaultdict(list)
-        self.logger = self._setup_logging()
+    def __init__(self, stealth_config: StealthConfig):
+        self.stealth_config = stealth_config
     
-    def _setup_logging(self):
-        logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
-        return logging.getLogger("PassiveOSINT")
-    
-    async def gather_dns_intel(self, domain: str) -> Dict:
-        """DNS records, subdomains from public sources"""
-        intel = {
-            "subdomains": [],
-            "mx_records": [],
-            "ns_records": [],
-            "txt_records": [],
-            "a_records": [],
-            "aaaa_records": [],
-            "cname_records": []
-        }
+    async def gather_dns_intel(self, target: str) -> Dict:
+        """DNS Intelligence"""
+        dns_data = {"domain": target, "subdomains": [], "dns_records": []}
         
         try:
-            import dns.resolver
-            
-            # Try common subdomains
-            common_subs = [
-                "www", "mail", "ftp", "admin", "api", "dev", "staging",
-                "cdn", "test", "blog", "shop", "support", "docs", "app",
-                "portal", "secure", "vpn", "remote", "webmail", "mx",
-                "ns1", "ns2", "dns", "autodiscover", "autoconfig"
-            ]
+            ip = socket.gethostbyname(target)
+            dns_data["dns_records"].append({"type": "A", "value": ip})
             
-            for sub in common_subs:
+            # Subdomain enumeration
+            subdomains = ["www", "mail", "ftp", "admin", "api", "dev", "test", "staging"]
+            for sub in subdomains:
                 try:
-                    full_domain = f"{sub}.{domain}"
-                    result = dns.resolver.resolve(full_domain, 'A')
-                    for rdata in result:
-                        intel["subdomains"].append({
-                            "subdomain": full_domain,
-                            "ip": str(rdata),
-                            "type": "A"
-                        })
+                    ip = socket.gethostbyname(f"{sub}.{target}")
+                    dns_data["subdomains"].append(f"{sub}.{target}")
                 except:
                     pass
-                
-                # Try AAAA records
-                try:
-                    full_domain = f"{sub}.{domain}"
-                    result = dns.resolver.resolve(full_domain, 'AAAA')
-                    for rdata in result:
-                        intel["aaaa_records"].append({
-                            "subdomain": full_domain,
-                            "ipv6": str(rdata)
-                        })
-                except:
-                    pass
-            
-            # MX records
-            try:
-                mx = dns.resolver.resolve(domain, 'MX')
-                intel["mx_records"] = [{"preference": r.preference, "exchange": str(r.exchange)} for r in mx]
-            except:
-                pass
-            
-            # NS records
-            try:
-                ns = dns.resolver.resolve(domain, 'NS')
-                intel["ns_records"] = [str(r) for r in ns]
-            except:
-                pass
-            
-            # TXT records (SPF, DKIM, DMARC)
-            try:
-                txt = dns.resolver.resolve(domain, 'TXT')
-                intel["txt_records"] = [str(r) for r in txt]
-            except:
-                pass
-                
-        except ImportError:
-            self.logger.warning("dnspython not installed")
-        
-        return intel
-    
-    async def gather_ssl_cert_intel(self, domain: str) -> Dict:
-        """SSL certificate analysis for subdomains"""
-        cert_intel = {
-            "subject": None,
-            "issuer": None,
-            "valid_from": None,
-            "valid_to": None,
-            "subjectAltNames": [],
-            "serial_number": None,
-            "signature_algorithm": None,
-            "version": None,
-            "expired": False,
-            "valid": False
-        }
-        
-        try:
-            context = ssl.create_default_context()
-            with socket.create_connection((domain, 443), timeout=5) as sock:
-                with context.wrap_socket(sock, server_hostname=domain) as ssock:
-                    cert = ssock.getpeercert()
-                    cipher = ssock.cipher()
-                    version = ssock.version()
-                    
-                    cert_intel["subject"] = dict(x[0] for x in cert['subject'])
-                    cert_intel["issuer"] = dict(x[0] for x in cert['issuer'])
-                    cert_intel["valid_from"] = cert['notBefore']
-                    cert_intel["valid_to"] = cert['notAfter']
-                    cert_intel["serial_number"] = cert.get('serialNumber')
-                    cert_intel["signature_algorithm"] = cert.get('signatureAlgorithm')
-                    cert_intel["version"] = version
-                    cert_intel["cipher"] = cipher
-                    
-                    # Check expiration
-                    from datetime import datetime
-                    expiry = datetime.strptime(cert['notAfter'], '%b %d %H:%M:%S %Y %Z')
-                    cert_intel["expired"] = expiry < datetime.now()
-                    cert_intel["valid"] = True
-                    
-                    # Extract SANs
-                    for alt_name in cert.get('subjectAltName', []):
-                        if alt_name[0] == 'DNS':
-                            cert_intel["subjectAltNames"].append(alt_name[1])
-        except Exception as e:
-            self.logger.error(f"SSL cert grab failed: {e}")
-        
-        return cert_intel
-    
-    async def crt_sh_lookup(self, domain: str) -> List[str]:
-        """Query Certificate Transparency logs via crt.sh"""
-        subdomains = set()
-        try:
-            url = f"https://crt.sh/?q=%.{domain}&output=json"
-            headers = self.config.get_headers()
-            
-            async with aiohttp.ClientSession() as session:
-                async with session.get(url, headers=headers, timeout=10) as resp:
-                    if resp.status == 200:
-                        data = await resp.json()
-                        for entry in data:
-                            name = entry.get('name_value', '')
-                            if name and '*' not in name:
-                                subdomains.add(name)
-        except Exception as e:
-            self.logger.error(f"crt.sh lookup failed: {e}")
-        
-        return list(subdomains)
-    
-    async def github_reconnaissance(self, org_name: str) -> Dict:
-        """Search GitHub for organization info"""
-        github_intel = {
-            "repositories": [],
-            "leaked_patterns": [],
-            "technology_hints": [],
-            "members": [],
-            "gists": []
-        }
-        
-        try:
-            # Search repos
-            endpoint = f"https://api.github.com/users/{org_name}/repos"
-            headers = self.config.get_headers()
-            
-            async with aiohttp.ClientSession() as session:
-                async with session.get(endpoint, headers=headers, timeout=10) as resp:
-                    if resp.status == 200:
-                        repos = await resp.json()
-                        for repo in repos[:20]:  # Limit to 20
-                            github_intel["repositories"].append({
-                                "name": repo.get("name"),
-                                "url": repo.get("html_url"),
-                                "description": repo.get("description"),
-                                "language": repo.get("language"),
-                                "stars": repo.get("stargazers_count"),
-                                "forks": repo.get("forks_count"),
-                                "updated": repo.get("updated_at")
-                            })
-                            
-                            if repo.get("language"):
-                                github_intel["technology_hints"].append(repo.get("language"))
-                            
-                            # Check for common leaked patterns in repo names/descriptions
-                            desc = (repo.get("description") or "").lower()
-                            if any(x in desc for x in ['password', 'secret', 'key', 'token', 'credential']):
-                                github_intel["leaked_patterns"].append({
-                                    "repo": repo.get("name"),
-                                    "pattern": "Potential secret in description"
-                                })
-            
-            # Search for gists
-            gist_endpoint = f"https://api.github.com/users/{org_name}/gists"
-            async with aiohttp.ClientSession() as session:
-                async with session.get(gist_endpoint, headers=headers, timeout=10) as resp:
-                    if resp.status == 200:
-                        gists = await resp.json()
-                        for gist in gists[:10]:
-                            github_intel["gists"].append({
-                                "id": gist.get("id"),
-                                "description": gist.get("description"),
-                                "url": gist.get("html_url")
-                            })
-        except Exception as e:
-            self.logger.error(f"GitHub recon failed: {e}")
-        
-        return github_intel
-    
-    async def wayback_machine_lookup(self, domain: str) -> List[str]:
-        """Query Wayback Machine for historical URLs"""
-        urls = []
-        try:
-            endpoint = f"http://web.archive.org/cdx/search/cdx?url=*.{domain}/*&output=json&fl=original&collapse=urlkey"
-            headers = self.config.get_headers()
-            
-            async with aiohttp.ClientSession() as session:
-                async with session.get(endpoint, headers=headers, timeout=15) as resp:
-                    if resp.status == 200:
-                        data = await resp.json()
-                        if len(data) > 1:  # First row is headers
-                            urls = [row[0] for row in data[1:]]
-        except Exception as e:
-            self.logger.error(f"Wayback lookup failed: {e}")
-        
-        return urls[:100]  # Limit to 100
-    
-    async def exposed_data_check(self, domain: str) -> List[Dict]:
-        """Check if domain in breach databases"""
-        breaches = []
-        
-        try:
-            # HIBP API (requires key in production, placeholder here)
-            # endpoint = f"https://haveibeenpwned.com/api/v3/breaches?domain={domain}"
-            # headers = {"User-Agent": "RedTeamFramework/3.0", "hibp-api-key": "YOUR_API_KEY"}
-            # resp = requests.get(endpoint, headers=headers, timeout=5)
-            # if resp.status_code == 200:
-            #     breaches = resp.json()
-            pass
-        except:
-            pass
-        
-        return breaches
-    
-    async def shodan_lookup(self, domain: str) -> Dict:
-        """Shodan host lookup (requires API key)"""
-        shodan_data = {
-            "ip": None,
-            "ports": [],
-            "services": [],
-            "vulnerabilities": [],
-            "hostnames": [],
-            "location": {}
-        }
-        
-        try:
-            # Placeholder - requires Shodan API key
-            # import shodan
-            # api = shodan.Shodan("YOUR_API_KEY")
-            # host = api.host(domain)
-            # shodan_data = {
-            #     "ip": host['ip_str'],
-            #     "ports": host['ports'],
-            #     "services": [match['product'] for match in host['data']],
-            #     "vulnerabilities": host.get('vulns', []),
-            #     "hostnames": host.get('hostnames', []),
-            #     "location": host.get('location', {})
-            # }
-            pass
         except:
             pass
         
-        return shodan_data
-
-# ════════════════════════════════════════════════════════════════════════════
-# SECTION 5: ACTIVE RECONNAISSANCE ENGINE
-# ════════════════════════════════════════════════════════════════════════════
+        return dns_data
 
 class ActiveReconEngine:
-    """Active scanning with OPSEC measures"""
-    
-    def __init__(self, config: StealthConfig):
-        self.config = config
-        self.findings = []
-        self.logger = logging.getLogger("ActiveRecon")
+    def __init__(self, stealth_config: StealthConfig):
+        self.stealth_config = stealth_config
     
-    async def fingerprint_technologies(self, url: str) -> Dict:
-        """Identify technologies from headers, HTML, JS"""
-        technologies = {
-            "web_server": None,
-            "cms": [],
-            "frameworks": [],
-            "javascript": [],
-            "databases": [],
-            "analytics": [],
-            "cdn": [],
-            "security_headers": {},
-            "missing_headers": []
-        }
+    async def fingerprint_technologies(self, target: str) -> Dict:
+        """Technology Fingerprinting"""
+        techs = {"cms": [], "frameworks": [], "web_server": None}
         
         try:
-            headers = self.config.get_headers()
-            resp = requests.get(f"https://{url}", headers=headers, timeout=10, verify=False, allow_redirects=True)
-            
-            # Server header analysis
-            if "Server" in resp.headers:
-                server = resp.headers["Server"]
-                technologies["web_server"] = server
-            
-            # X-Powered-By
-            if "X-Powered-By" in resp.headers:
-                technologies["frameworks"].append(resp.headers["X-Powered-By"])
-            
-            # X-Generator (CMS)
-            if "X-Generator" in resp.headers:
-                technologies["cms"].append(resp.headers["X-Generator"])
-            
-            # CDN detection
-            if "CF-RAY" in resp.headers or "Cloudflare" in resp.headers.get("Server", ""):
-                technologies["cdn"].append("Cloudflare")
-            if "X-Cache" in resp.headers or "Fastly" in str(resp.headers):
-                technologies["cdn"].append("Fastly")
-            
-            # Security headers analysis
-            for header, description in SECURITY_HEADERS.items():
-                if header in resp.headers:
-                    technologies["security_headers"][header] = resp.headers[header]
-                else:
-                    technologies["missing_headers"].append(header)
-            
-            content = resp.text
-            
-            # CMS/Framework detection
-            patterns = {
-                "WordPress": r"wp-content|wp-includes|/wp-admin|wordpress",
-                "Drupal": r"sites/default/files|drupal\\.css|drupal.js",
-                "Joomla": r"Joomla|com_content|/media/jui",
-                "Magento": r"skin/frontend|Mage.Cookies|magento",
-                "Django": r"Django|csrfmiddlewaretoken|django",
-                "Flask": r"Flask|werkzeug",
-                "Laravel": r"XSRF-TOKEN|laravel_session|csrf-token",
-                "React": r"__REACT_DEVTOOLS__|react\\.js|reactjs",
-                "Vue": r"__VUE__|vue\\.js|vuejs",
-                "Angular": r"ng-app|angular\\.js|angularjs",
-                "jQuery": r"jquery|jQuery",
-                "Bootstrap": r"bootstrap|data-toggle",
-                "Google Analytics": r"google-analytics|gtag|_ga",
-                "Mixpanel": r"mixpanel",
-                "Hotjar": r"hotjar|hjSiteSettings"
-            }
-            
-            for tech, pattern in patterns.items():
-                if re.search(pattern, content, re.IGNORECASE):
-                    if tech in ["WordPress", "Drupal", "Joomla", "Magento"]:
-                        if tech not in technologies["cms"]:
-                            technologies["cms"].append(tech)
-                    elif tech in ["Django", "Flask", "Laravel"]:
-                        if tech not in technologies["frameworks"]:
-                            technologies["frameworks"].append(tech)
-                    elif tech in ["React", "Vue", "Angular", "jQuery", "Bootstrap"]:
-                        if tech not in technologies["javascript"]:
-                            technologies["javascript"].append(tech)
-                    elif tech in ["Google Analytics", "Mixpanel", "Hotjar"]:
-                        if tech not in technologies["analytics"]:
-                            technologies["analytics"].append(tech)
-            
-            # Check for cookies
-            if "Set-Cookie" in resp.headers:
-                cookies = resp.headers["Set-Cookie"]
-                if "PHPSESSID" in cookies:
-                    technologies["frameworks"].append("PHP")
-                if "session" in cookies.lower():
-                    technologies["frameworks"].append("Session-based Auth")
+            resp = requests.get(
+                f"https://{target}",
+                timeout=self.stealth_config.timeout,
+                verify=False,
+                headers={"User-Agent": random.choice(self.stealth_config.user_agents)}
+            )
             
-        except Exception as e:
-            self.logger.error(f"Fingerprinting failed: {e}")
+            content = resp.text.lower()
+            for category, items in TECH_FINGERPRINTS.items():
+                for tech, patterns in items.items():
+                    for pattern in patterns:
+                        if re.search(pattern, content):
+                            if category == "CMS":
+                                techs["cms"].append(tech)
+                            elif category == "Web Servers":
+                                techs["web_server"] = tech
+                            elif category == "Frameworks":
+                                techs["frameworks"].append(tech)
+        except:
+            pass
         
-        return technologies
+        return techs
     
-    async def discover_endpoints(self, url: str, wordlist: List[str] = None) -> List[Dict]:
-        """Endpoint discovery with smart filtering"""
-        discovered = []
-        wordlist = wordlist or COMMON_ENDPOINTS
+    async def discover_endpoints(self, target: str, endpoints: List[str]) -> List[Dict]:
+        """Endpoint Discovery"""
+        found = []
         
-        for path in wordlist[:50]:  # Limit wordlist
+        for endpoint in endpoints:
             try:
-                full_url = f"https://{url.rstrip('/')}/{path.lstrip('/')}"
-                headers = self.config.get_headers()
-                
-                await asyncio.sleep(self.config.get_delay())
-                
-                resp = requests.get(full_url, headers=headers, timeout=5, verify=False, allow_redirects=False)
-                
-                if resp.status_code in [200, 301, 302, 401, 403, 405]:
-                    discovered.append({
-                        "path": path,
-                        "url": full_url,
+                resp = requests.get(
+                    f"https://{target}/{endpoint}",
+                    timeout=self.stealth_config.timeout,
+                    verify=False,
+                    allow_redirects=False,
+                    headers={"User-Agent": random.choice(self.stealth_config.user_agents)}
+                )
+                if resp.status_code in [200, 301, 302, 401, 403]:
+                    found.append({
+                        "path": endpoint or "/",
                         "status": resp.status_code,
-                        "size": len(resp.text),
-                        "title": self._extract_title(resp.text),
-                        "server": resp.headers.get("Server", "Unknown")
+                        "size": len(resp.text)
                     })
             except:
                 pass
         
-        return discovered
+        return found
     
-    def _extract_title(self, html: str) -> str:
-        """Extract page title from HTML"""
-        try:
-            soup = BeautifulSoup(html, 'html.parser')
-            title = soup.find('title')
-            return title.text.strip() if title else "No Title"
-        except:
-            return "Error"
-    
-    async def analyze_forms(self, url: str) -> List[Dict]:
-        """Form detection and analysis"""
+    async def analyze_forms(self, target: str) -> List[Dict]:
+        """Form Analysis"""
         forms = []
         
         try:
-            headers = self.config.get_headers()
-            resp = requests.get(f"https://{url}", headers=headers, timeout=10, verify=False)
+            resp = requests.get(
+                f"https://{target}",
+                timeout=self.stealth_config.timeout,
+                verify=False,
+                headers={"User-Agent": random.choice(self.stealth_config.user_agents)}
+            )
             soup = BeautifulSoup(resp.text, 'html.parser')
             
             for form in soup.find_all('form'):
                 form_data = {
                     "action": form.get('action', ''),
                     "method": form.get('method', 'GET').upper(),
-                    "enctype": form.get('enctype', ''),
-                    "id": form.get('id', ''),
-                    "class": form.get('class', []),
-                    "fields": [],
-                    "vulnerabilities": []
+                    "fields": []
                 }
                 
-                for field in form.find_all(['input', 'textarea', 'select']):
-                    field_info = {
+                for field in form.find_all(['input', 'textarea']):
+                    form_data["fields"].append({
                         "name": field.get('name', ''),
-                        "type": field.get('type', 'text'),
-                        "id": field.get('id', ''),
-                        "required": field.get('required') is not None,
-                        "placeholder": field.get('placeholder', '')
-                    }
-                    form_data["fields"].append(field_info)
-                    
-                    # Check for potential vulnerabilities
-                    if field.get('type') == 'password':
-                        form_data["vulnerabilities"].append("Password field detected - check for brute force protection")
-                    if field.get('type') == 'file':
-                        form_data["vulnerabilities"].append("File upload - check for upload restrictions")
-                
-                # Check for CSRF protection
-                has_csrf = any('csrf' in str(f.get('name', '')).lower() or 
-                              'token' in str(f.get('name', '')).lower() 
-                              for f in form_data["fields"])
-                if not has_csrf and form_data["method"] == "POST":
-                    form_data["vulnerabilities"].append("No CSRF token detected")
+                        "type": field.get('type', 'text')
+                    })
                 
                 forms.append(form_data)
-        
-        except Exception as e:
-            self.logger.error(f"Form analysis failed: {e}")
+        except:
+            pass
         
         return forms
     
-    async def extract_javascript_endpoints(self, url: str) -> List[Dict]:
-        """Extract API endpoints from JavaScript"""
-        endpoints = []
+    async def extract_javascript_endpoints(self, target: str) -> List[str]:
+        """JavaScript Extraction"""
+        js_files = []
         
         try:
-            headers = self.config.get_headers()
-            resp = requests.get(f"https://{url}", headers=headers, timeout=10, verify=False)
-            
-            # Find all script tags
+            resp = requests.get(
+                f"https://{target}",
+                timeout=self.stealth_config.timeout,
+                verify=False
+            )
             soup = BeautifulSoup(resp.text, 'html.parser')
-            scripts = []
-            
-            for script in soup.find_all('script'):
-                if script.string:
-                    scripts.append(script.string)
-                elif script.get('src'):
-                    # Fetch external scripts
-                    try:
-                        src = script['src']
-                        if src.startswith('http'):
-                            js_resp = requests.get(src, headers=headers, timeout=5)
-                            scripts.append(js_resp.text)
-                        elif src.startswith('/'):
-                            js_url = f"https://{url.rstrip('/')}{src}"
-                            js_resp = requests.get(js_url, headers=headers, timeout=5)
-                            scripts.append(js_resp.text)
-                    except:
-                        pass
-            
-            # Extract API patterns
-            api_patterns = [
-                r'["\']/(api|v[0-9]|rest|graphql)/[^"\'\\s]+["\']',
-                r'(https?://[^"\'\\s]+/api/[^"\'\\s]+)',
-                r'["\']/(admin|dashboard|internal)/[^"\'\\s]+["\']',
-                r'fetch\\(["\']([^"\']+)["\']',
-                r'axios\\.(get|post|put|delete)\\(["\']([^"\']+)["\']',
-                r'\\$\\.ajax\\({\\s*url\\s*:\\s*["\']([^"\']+)["\']'
-            ]
-            
-            for script_content in scripts:
-                for pattern in api_patterns:
-                    matches = re.findall(pattern, script_content)
-                    for match in matches:
-                        if isinstance(match, tuple):
-                            match = match[-1]  # Get the last group
-                        if match and match not in [e["endpoint"] for e in endpoints]:
-                            endpoints.append({
-                                "endpoint": match,
-                                "source": "inline_js" if script_content in [s.string for s in soup.find_all('script') if s.string] else "external_js",
-                                "type": "api"
-                            })
-            
-            # Look for hardcoded secrets
-            secret_patterns = [
-                (r'api[_-]?key["\']?\\s*[:=]\\s*["\']([a-zA-Z0-9_\\-]{16,})["\']', "API Key"),
-                (r'secret[_-]?key["\']?\\s*[:=]\\s*["\']([a-zA-Z0-9_\\-]{16,})["\']', "Secret Key"),
-                (r'password["\']?\\s*[:=]\\s*["\']([^"\']{8,})["\']', "Password"),
-                (r'token["\']?\\s*[:=]\\s*["\']([a-zA-Z0-9_\\-\\.]{20,})["\']', "Token"),
-                (r'aws_access_key_id["\']?\\s*[:=]\\s*["\'](AKIA[0-9A-Z]{16})["\']', "AWS Key"),
-                (r'private[_-]?key["\']?\\s*[:=]\\s*["\'](-----BEGIN)', "Private Key")
-            ]
             
-            for script_content in scripts:
-                for pattern, secret_type in secret_patterns:
-                    matches = re.findall(pattern, script_content, re.IGNORECASE)
-                    for match in matches:
-                        endpoints.append({
-                            "endpoint": f"[{secret_type} DETECTED - REDACTED]",
-                            "source": "js_analysis",
-                            "type": "secret",
-                            "secret_type": secret_type
-                        })
-        
-        except Exception as e:
-            self.logger.error(f"JS extraction failed: {e}")
+            for script in soup.find_all('script', src=True):
+                js_files.append(script['src'])
+        except:
+            pass
         
-        return endpoints
+        return js_files
     
-    async def analyze_security_headers(self, url: str) -> Dict:
-        """Analyze security headers"""
-        headers_analysis = {
-            "present": {},
-            "missing": [],
-            "recommendations": [],
-            "score": 0
-        }
+    async def analyze_security_headers(self, target: str) -> Dict:
+        """Security Header Analysis"""
+        headers_data = {"found": {}, "missing": []}
         
         try:
-            resp = requests.get(f"https://{url}", headers=self.config.get_headers(), timeout=10, verify=False)
-            
-            security_headers = {
-                "Strict-Transport-Security": {"weight": 3, "recommendation": "Implement HSTS"},
-                "Content-Security-Policy": {"weight": 3, "recommendation": "Implement CSP"},
-                "X-Frame-Options": {"weight": 2, "recommendation": "Set X-Frame-Options to DENY or SAMEORIGIN"},
-                "X-Content-Type-Options": {"weight": 2, "recommendation": "Set X-Content-Type-Options to nosniff"},
-                "X-XSS-Protection": {"weight": 1, "recommendation": "Set X-XSS-Protection"},
-                "Referrer-Policy": {"weight": 1, "recommendation": "Implement Referrer-Policy"},
-                "Permissions-Policy": {"weight": 1, "recommendation": "Implement Permissions-Policy"}
-            }
-            
-            total_weight = sum(h["weight"] for h in security_headers.values())
-            current_score = 0
+            resp = requests.get(
+                f"https://{target}",
+                timeout=self.stealth_config.timeout,
+                verify=False,
+                headers={"User-Agent": random.choice(self.stealth_config.user_agents)}
+            )
             
-            for header, info in security_headers.items():
+            for header in SECURITY_HEADERS.keys():
                 if header in resp.headers:
-                    headers_analysis["present"][header] = resp.headers[header]
-                    current_score += info["weight"]
+                    headers_data["found"][header] = resp.headers[header]
                 else:
-                    headers_analysis["missing"].append(header)
-                    headers_analysis["recommendations"].append(info["recommendation"])
-            
-            headers_analysis["score"] = (current_score / total_weight) * 100
-            
-        except Exception as e:
-            self.logger.error(f"Security headers analysis failed: {e}")
+                    headers_data["missing"].append(header)
+        except:
+            pass
         
-        return headers_analysis
+        return headers_data
     
-    async def check_common_vulnerabilities(self, url: str) -> List[Vulnerability]:
-        """Check for common vulnerability patterns"""
-        vulnerabilities = []
+    async def check_common_vulnerabilities(self, target: str) -> List[Vulnerability]:
+        """Vulnerability Detection"""
+        vulns = []
         
         try:
-            headers = self.config.get_headers()
-            
-            # Check for exposed .env
-            try:
-                env_resp = requests.get(f"https://{url}/.env", headers=headers, timeout=5, verify=False)
-                if env_resp.status_code == 200 and "=" in env_resp.text:
-                    vuln = Vulnerability(
-                        name="Exposed Environment File",
-                        description="The .env file is publicly accessible, potentially exposing sensitive configuration",
-                        severity="CRITICAL",
-                        cvss_score=7.5,
-                        cvss_vector="CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
-                        location=f"https://{url}/.env",
-                        evidence=".env file accessible without authentication",
-                        remediation="Restrict access to .env files via web server configuration",
-                        cwe_id="CWE-200",
-                        owasp_category="A01:2021 - Broken Access Control",
-                        mitre_techniques=["T1083"]
-                    )
-                    vulnerabilities.append(vuln)
-            except:
-                pass
-            
-            # Check for exposed .git
-            try:
-                git_resp = requests.get(f"https://{url}/.git/HEAD", headers=headers, timeout=5, verify=False)
-                if git_resp.status_code == 200 and "ref:" in git_resp.text:
-                    vuln = Vulnerability(
-                        name="Exposed Git Repository",
-                        description="Git repository is publicly accessible, potentially exposing source code",
-                        severity="HIGH",
-                        cvss_score=7.5,
-                        cvss_vector="CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
-                        location=f"https://{url}/.git/",
-                        evidence="Git HEAD file accessible",
-                        remediation="Restrict access to .git directory via web server configuration",
-                        cwe_id="CWE-200",
-                        owasp_category="A01:2021 - Broken Access Control",
-                        mitre_techniques=["T1083"]
-                    )
-                    vulnerabilities.append(vuln)
-            except:
-                pass
-            
-            # Check for directory listing
-            try:
-                dir_resp = requests.get(f"https://{url}/images/", headers=headers, timeout=5, verify=False)
-                if dir_resp.status_code == 200 and "Index of" in dir_resp.text:
-                    vuln = Vulnerability(
-                        name="Directory Listing Enabled",
-                        description="Directory listing is enabled, exposing file structure",
-                        severity="MEDIUM",
-                        cvss_score=5.3,
-                        cvss_vector="CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N",
-                        location=f"https://{url}/images/",
-                        evidence="Directory index page displayed",
-                        remediation="Disable directory listing in web server configuration",
-                        cwe_id="CWE-548",
-                        owasp_category="A01:2021 - Broken Access Control",
-                        mitre_techniques=["T1083"]
-                    )
-                    vulnerabilities.append(vuln)
-            except:
-                pass
-            
-            # Check for SQL injection in URL parameters
-            test_url = f"https://{url}/?id=1'"
-            try:
-                sql_resp = requests.get(test_url, headers=headers, timeout=5, verify=False)
-                sql_errors = [
-                    "sql syntax", "mysql_fetch", "pg_query", "ORA-",
-                    "Microsoft OLE DB", "ODBC SQL Server", "SQLite3::"
-                ]
-                if any(error.lower() in sql_resp.text.lower() for error in sql_errors):
-                    vuln = Vulnerability(
-                        name="SQL Injection",
-                        description="Potential SQL injection vulnerability detected in URL parameters",
-                        severity="CRITICAL",
-                        cvss_score=9.8,
-                        cvss_vector="CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
-                        location=test_url,
-                        evidence="SQL error message in response",
-                        remediation="Use parameterized queries and input validation",
-                        cwe_id="CWE-89",
-                        owasp_category="A03:2021 - Injection",
-                        mitre_techniques=["T1190"]
-                    )
-                    vulnerabilities.append(vuln)
-            except:
-                pass
-            
-            # Check for XSS
-            test_xss_url = f"https://{url}/?q=<script>alert(1)</script>"
-            try:
-                xss_resp = requests.get(test_xss_url, headers=headers, timeout=5, verify=False)
-                if "<script>alert(1)</script>" in xss_resp.text:
-                    vuln = Vulnerability(
-                        name="Cross-Site Scripting (XSS)",
-                        description="Reflected XSS vulnerability detected",
-                        severity="HIGH",
-                        cvss_score=6.1,
-                        cvss_vector="CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N",
-                        location=test_xss_url,
-                        evidence="Script tag reflected in response without encoding",
-                        remediation="Implement output encoding and CSP headers",
-                        cwe_id="CWE-79",
-                        owasp_category="A03:2021 - Injection",
-                        mitre_techniques=["T1189"]
-                    )
-                    vulnerabilities.append(vuln)
-            except:
-                pass
-        
-        except Exception as e:
-            self.logger.error(f"Vulnerability check failed: {e}")
+            resp = requests.get(f"https://{target}", timeout=10, verify=False)
+            
+            # SQL Injection
+            if "SQL" in resp.text or "mysql" in resp.text.lower():
+                vulns.append(Vulnerability(
+                    "SQL Injection Possible",
+                    "Database Error",
+                    "Database errors visible",
+                    "HIGH",
+                    7.5,
+                    "Implement error handling"
+                ))
+            
+            # XSS
+            if "<script>" in resp.text:
+                vulns.append(Vulnerability(
+                    "Potential XSS",
+                    "Script Tags",
+                    "Unescaped scripts",
+                    "MEDIUM",
+                    6.0,
+                    "Implement encoding"
+                ))
+            
+            # Missing HTTPS
+            if "Strict-Transport-Security" not in resp.headers:
+                vulns.append(Vulnerability(
+                    "Missing HSTS",
+                    "Security Headers",
+                    "HSTS header missing",
+                    "MEDIUM",
+                    5.5,
+                    "Add HSTS header"
+                ))
+        except:
+            pass
         
-        return vulnerabilities
+        return vulns
 
 # ════════════════════════════════════════════════════════════════════════════
-# SECTION 6: THREAT MODELING ENGINE (STRIDE + MITRE ATT&CK)
+# SECTION 5: THREAT MODELING
 # ════════════════════════════════════════════════════════════════════════════
 
 class ThreatModelingEngine:
-    """Advanced threat modeling"""
-    
-    def __init__(self):
-        self.threats: List[Dict] = []
-        self.attack_paths: List[AttackPath] = []
-    
-    def analyze_web_app(self, recon_data: Dict) -> List[ThreatVector]:
-        """Map reconnaissance to threats"""
-        threat_vectors = []
-        
-        # Forms = injection vectors
-        for form in recon_data.get("forms", []):
-            risk = 7.5
-            techniques = ["T1565.001", "T1598.003"]
-            
-            if "password" in str(form).lower():
-                risk = 8.5
-                techniques.append("T1110")
-            
-            threat_vectors.append(ThreatVector(
-                category="web_form",
-                location=form.get("action", ""),
-                risk_score=risk,
-                techniques=techniques,
-                description=f"Form {form.get('action')}: SQL Injection, XSS, CSRF potential",
-                cvss_score=risk,
-                cwe_id="CWE-89",
-                evidence=f"Form method: {form.get('method')}, Fields: {len(form.get('fields', []))}"
+    def analyze_web_app(self, results: Dict) -> List[ThreatVector]:
+        """STRIDE Analysis"""
+        threats = []
+        
+        for threat_type, threat_info in STRIDE_THREATS.items():
+            threats.append(ThreatVector(
+                f"T{random.randint(1000, 9999)}",
+                threat_type,
+                "MEDIUM",
+                0.5,
+                threat_info["description"]
             ))
         
-        # JavaScript = gadget chains
-        for js_file in recon_data.get("js_files", []):
-            threat_vectors.append(ThreatVector(
-                category="js_gadget",
-                location=js_file.get("endpoint", ""),
-                risk_score=6.0,
-                techniques=["T1195.001"],
-                description=f"JavaScript analysis: {js_file.get('type', 'unknown')}",
-                cvss_score=6.0,
-                cwe_id="CWE-200",
-                evidence="Client-side code analysis"
-            ))
-        
-        # API endpoints = information disclosure
-        for endpoint in recon_data.get("endpoints", []):
-            if isinstance(endpoint, dict):
-                path = endpoint.get("path", "")
-                status = endpoint.get("status", 0)
-            else:
-                path = endpoint
-                status = 200
-            
-            risk = 6.5
-            if status == 401:
-                risk = 7.0
-            elif status == 403:
-                risk = 6.8
-            
-            threat_vectors.append(ThreatVector(
-                category="api_endpoint",
-                location=path,
-                risk_score=risk,
-                techniques=["T1526"],
-                description=f"API endpoint discovered: {path} (Status: {status})",
-                cvss_score=risk,
-                cwe_id="CWE-200",
-                evidence=f"HTTP {status}"
-            ))
-        
-        # Security headers missing
-        security_score = recon_data.get("security_headers", {}).get("score", 100)
-        if security_score < 50:
-            threat_vectors.append(ThreatVector(
-                category="security_headers",
-                location="HTTP Headers",
-                risk_score=5.0,
-                techniques=["T1592"],
-                description=f"Missing security headers (Score: {security_score:.1f}%)",
-                cvss_score=5.0,
-                cwe_id="CWE-693",
-                evidence=f"Missing: {', '.join(recon_data.get('security_headers', {}).get('missing', []))}"
-            ))
-        
-        return threat_vectors
+        return threats
     
-    def build_attack_paths(self, threat_vectors: List[ThreatVector], technologies: Dict) -> List[AttackPath]:
-        """Generate attack chains"""
+    def build_attack_paths(self, threats: List, techs: Dict) -> List[AttackPath]:
+        """Attack Path Generation"""
         paths = []
         
-        # Generic attack path
-        paths.append(AttackPath(
-            entry_point="Public web form or API endpoint",
-            intermediate_steps=[
-                "Reconnaissance (technology fingerprinting)",
-                "Vulnerability identification (SQLi, XSS, CSRF)",
-                "Exploitation",
-                "Data exfiltration or lateral movement"
-            ],
-            objective="Unauthorized access / Data breach",
-            risk_level="CRITICAL",
-            complexity=0.6,
-            mitre_techniques=["T1595", "T1190", "T1567"]
-        ))
-        
-        # WordPress-specific
-        cms_list = technologies.get("cms", [])
-        if "WordPress" in cms_list:
+        if techs.get("cms"):
             paths.append(AttackPath(
-                entry_point="WordPress admin panel or vulnerable plugin",
-                intermediate_steps=[
-                    "Plugin enumeration via wp-content/plugins/",
-                    "Known CVE exploitation (plugin vulnerabilities)",
-                    "Plugin upload for RCE (if authenticated)",
-                    "Server compromise via wp-config.php access"
-                ],
-                objective="Remote Code Execution",
-                risk_level="CRITICAL",
-                complexity=0.4,
-                mitre_techniques=["T1595", "T1190", "T1059", "T1078"]
-            ))
-        
-        # API-specific
-        api_endpoints = [v for v in threat_vectors if v.category == "api_endpoint"]
-        if api_endpoints:
-            paths.append(AttackPath(
-                entry_point="Exposed API endpoint",
-                intermediate_steps=[
-                    "API endpoint enumeration",
-                    "Authentication bypass or weak authentication",
-                    "IDOR (Insecure Direct Object Reference)",
-                    "Data exfiltration via API"
-                ],
-                objective="Unauthorized data access",
-                risk_level="HIGH",
-                complexity=0.5,
-                mitre_techniques=["T1526", "T1078", "T1567"]
-            ))
-        
-        # JavaScript/Secret exposure
-        js_threats = [v for v in threat_vectors if v.category == "js_gadget"]
-        if js_threats:
-            paths.append(AttackPath(
-                entry_point="Hardcoded secrets in JavaScript",
-                intermediate_steps=[
-                    "JavaScript analysis for API keys/secrets",
-                    "Credential harvesting",
-                    "API access with stolen credentials",
-                    "Data breach or system compromise"
-                ],
-                objective="Credential theft",
-                risk_level="HIGH",
-                complexity=0.3,
-                mitre_techniques=["T1552", "T1078", "T1567"]
+                "CMS Exploitation",
+                f"Exploit {techs['cms'][0]} vulnerabilities",
+                ["Identify version", "Find CVE", "Execute"],
+                "Full compromise",
+                "Medium"
             ))
         
         return paths
-    
-    def generate_stride_report(self, recon_data: Dict) -> Dict:
-        """Generate STRIDE threat model"""
-        stride_report = {}
-        
-        for threat_category, threat_info in STRIDE_THREATS.items():
-            stride_report[threat_category] = {
-                "description": threat_info["description"],
-                "potential_impacts": [],
-                "mitigations": threat_info["mitigations"],
-                "affected_components": [],
-                "risk_level": "LOW"
-            }
-            
-            # Match with found vulnerabilities
-            if "forms" in recon_data and len(recon_data["forms"]) > 0:
-                if threat_category == "Tampering":
-                    stride_report[threat_category]["potential_impacts"].append(
-                        "SQL Injection in form fields"
-                    )
-                    stride_report[threat_category]["affected_components"].append("Database")
-                    stride_report[threat_category]["risk_level"] = "CRITICAL"
-                
-                if threat_category == "InformationDisclosure":
-                    stride_report[threat_category]["potential_impacts"].append(
-                        "Sensitive data exposure through form manipulation"
-                    )
-                    stride_report[threat_category]["risk_level"] = "HIGH"
-            
-            if "endpoints" in recon_data and len(recon_data["endpoints"]) > 0:
-                if threat_category == "InformationDisclosure":
-                    stride_report[threat_category]["potential_impacts"].append(
-                        "Sensitive data exposed via API endpoints"
-                    )
-                    stride_report[threat_category]["affected_components"].append("API")
-                    stride_report[threat_category]["risk_level"] = "HIGH"
-            
-            if "js_files" in recon_data and len(recon_data["js_files"]) > 0:
-                if threat_category == "InformationDisclosure":
-                    stride_report[threat_category]["potential_impacts"].append(
-                        "Hardcoded secrets in client-side JavaScript"
-                    )
-                    stride_report[threat_category]["risk_level"] = "HIGH"
-            
-            if "security_headers" in recon_data:
-                score = recon_data["security_headers"].get("score", 100)
-                if score < 50:
-                    if threat_category == "Spoofing":
-                        stride_report[threat_category]["potential_impacts"].append(
-                            "Session hijacking due to missing security headers"
-                        )
-                        stride_report[threat_category]["risk_level"] = "MEDIUM"
-                    
-                    if threat_category == "Tampering":
-                        stride_report[threat_category]["potential_impacts"].append(
-                            "Clickjacking attacks (missing X-Frame-Options)"
-                        )
-                        stride_report[threat_category]["risk_level"] = "MEDIUM"
-        
-        return stride_report
-    
-    def calculate_cvss_score(self, vulnerability: Vulnerability) -> Dict:
-        """Calculate CVSS v3.1 score"""
-        return {
-            "base_score": vulnerability.cvss_score,
-            "vector": vulnerability.cvss_vector,
-            "severity": self._get_severity(vulnerability.cvss_score),
-            "impact_score": self._calculate_impact(vulnerability.cvss_vector),
-            "exploitability_score": self._calculate_exploitability(vulnerability.cvss_vector)
-        }
-    
-    def _get_severity(self, score: float) -> str:
-        if score >= 9.0:
-            return "CRITICAL"
-        elif score >= 7.0:
-            return "HIGH"
-        elif score >= 4.0:
-            return "MEDIUM"
-        else:
-            return "LOW"
-    
-    def _calculate_impact(self, vector: str) -> float:
-        # Simplified calculation
-        return 0.0
-    
-    def _calculate_exploitability(self, vector: str) -> float:
-        # Simplified calculation
-        return 0.0
 
 # ════════════════════════════════════════════════════════════════════════════
-# SECTION 7: ATTACK GRAPH VISUALIZATION (ENHANCED)
+# SECTION 6: ATTACK GRAPH
 # ════════════════════════════════════════════════════════════════════════════
 
 class AttackGraphEngine:
-    """Advanced attack surface visualization"""
-    
-    @staticmethod
-    def create_enhanced_attack_graph(threat_vectors: List[ThreatVector], 
-                                     attack_paths: List[AttackPath],
-                                     vulnerabilities: List[Vulnerability] = None) -> Dict:
-        """Build graph with threat vectors and attack paths"""
-        
-        nodes = ["Attacker", "Internet", "Target Domain"]
-        edges = [("Attacker", "Internet"), ("Internet", "Target Domain")]
-        node_info = {
-            "Attacker": {"type": "attacker", "risk": 10, "layer": 0},
-            "Internet": {"type": "network", "risk": 5, "layer": 1},
-            "Target Domain": {"type": "asset", "risk": 7, "layer": 2}
-        }
-        
-        # Add threat vectors as nodes
-        for i, vector in enumerate(threat_vectors[:15]):  # Increased limit
-            node_name = f"{vector.category.replace('_', ' ').title()}_{i+1}"
-            nodes.append(node_name)
-            edges.append(("Target Domain", node_name))
-            node_info[node_name] = {
-                "type": "vulnerability",
-                "risk": vector.risk_score,
-                "cvss": vector.cvss_score,
-                "layer": 3,
-                "techniques": vector.techniques,
-                "cwe": vector.cwe_id
-            }
-        
-        # Add vulnerabilities as nodes
-        if vulnerabilities:
-            for i, vuln in enumerate(vulnerabilities[:10]):
-                node_name = f"Vuln: {vuln.name[:20]}..."
-                nodes.append(node_name)
-                edges.append(("Target Domain", node_name))
-                node_info[node_name] = {
-                    "type": "exploit",
-                    "risk": vuln.cvss_score,
-                    "cvss": vuln.cvss_score,
-                    "layer": 3,
-                    "severity": vuln.severity,
-                    "cwe": vuln.cwe_id
-                }
-        
-        return {
-            "nodes": nodes,
-            "edges": edges,
-            "node_info": node_info,
-            "threat_vectors": [asdict(v) for v in threat_vectors],
-            "attack_paths": [asdict(ap) for ap in attack_paths],
-            "vulnerabilities": [asdict(v) for v in (vulnerabilities or [])]
-        }
-    
-    @staticmethod
-    def visualize_attack_graph_plotly(graph_data: Dict) -> go.Figure:
-        """Create interactive Plotly visualization"""
-        
-        G = nx.DiGraph()
-        G.add_edges_from(graph_data["edges"])
-        
-        # Use hierarchical layout
-        pos = {}
-        layers = defaultdict(list)
-        
-        for node, info in graph_data["node_info"].items():
-            layer = info.get("layer", 2)
-            layers[layer].append(node)
-        
-        for layer, nodes in layers.items():
-            y_offset = len(nodes) / 2
-            for i, node in enumerate(nodes):
-                pos[node] = (layer * 3, (i - y_offset/2) * 2)
-        
-        # Edge traces
-        edge_x, edge_y = [], []
-        for edge in G.edges():
-            x0, y0 = pos[edge[0]]
-            x1, y1 = pos[edge[1]]
-            edge_x.extend([x0, x1, None])
-            edge_y.extend([y0, y1, None])
-        
-        edge_trace = go.Scatter(
-            x=edge_x, y=edge_y,
-            line=dict(width=2, color='#666'),
-            hoverinfo='none',
-            mode='lines',
-            name='Attack Path'
-        )
-        
-        # Node traces with risk coloring
-        node_x, node_y, node_text, node_color, node_size, hover_text = [], [], [], [], [], []
-        
-        for node in G.nodes():
-            x, y = pos[node]
-            node_x.append(x)
-            node_y.append(y)
-            node_text.append(node)
-            
-            node_info = graph_data["node_info"].get(node, {})
-            risk = node_info.get("risk", 5)
-            node_type = node_info.get("type", "unknown")
-            
-            # Color by type and risk
-            if node_type == "attacker":
-                node_color.append('#ff0000')
-            elif node_type == "network":
-                node_color.append('#666666')
-            elif node_type == "asset":
-                node_color.append('#00aaff')
-            elif node_type == "exploit":
-                node_color.append('#ff00ff')
-            else:
-                # Color by risk
-                if risk >= 9:
-                    node_color.append('#ff0000')  # Red - Critical
-                elif risk >= 7:
-                    node_color.append('#ff7700')  # Orange - High
-                elif risk >= 4:
-                    node_color.append('#ffcc00')  # Yellow - Medium
-                else:
-                    node_color.append('#00ff00')  # Green - Low
-            
-            size = 40 if node_type in ["attacker", "asset"] else 30 + (risk * 1.5)
-            node_size.append(size)
-            
-            # Hover text
-            hover_info = f"<b>{node}</b><br>Type: {node_type}<br>Risk: {risk}"
-            if node_info.get("cvss"):
-                hover_info += f"<br>CVSS: {node_info['cvss']}"
-            if node_info.get("cwe"):
-                hover_info += f"<br>CWE: {node_info['cwe']}"
-            hover_text.append(hover_info)
-        
-        node_trace = go.Scatter(
-            x=node_x, y=node_y,
-            mode='markers+text',
-            hoverinfo='text',
-            text=node_text,
-            textposition="top center",
-            hovertext=hover_text,
-            marker=dict(
-                size=node_size,
-                color=node_color,
-                line_width=2,
-                line=dict(color='#222'),
-                symbol='diamond' if node_type == 'exploit' else 'circle'
-            ),
-            name='Components'
-        )
-        
-        fig = go.Figure(data=[edge_trace, node_trace])
-        fig.update_layout(
-            title={
-                'text': '🎯 Advanced Attack Surface Graph',
-                'font': {'size': 24, 'color': '#ff0000'},
-                'x': 0.5
-            },
-            showlegend=False,
-            hovermode='closest',
-            margin=dict(b=20, l=5, r=5, t=60),
-            xaxis=dict(showgrid=False, zeroline=False, showticklabels=False),
-            yaxis=dict(showgrid=False, zeroline=False, showticklabels=False),
-            plot_bgcolor='#1a1a1a',
-            paper_bgcolor='#1a1a1a',
-            font=dict(color='#ffffff'),
-            annotations=[
-                dict(
-                    x=0.02, y=0.98,
-                    xref='paper', yref='paper',
-                    text='🔴 Critical Risk<br>🟠 High Risk<br>🟡 Medium Risk<br>🟢 Low Risk',
-                    showarrow=False,
-                    font=dict(size=12, color='white'),
-                    bgcolor='rgba(0,0,0,0.5)',
-                    bordercolor='white',
-                    borderwidth=1
-                )
-            ]
-        )
-        
-        return fig
-    
-    @staticmethod
-    def create_risk_heatmap(threat_vectors: List[ThreatVector]) -> go.Figure:
-        """Create risk heatmap"""
-        categories = defaultdict(list)
-        for tv in threat_vectors:
-            categories[tv.category].append(tv.risk_score)
-        
-        if not categories:
-            return go.Figure()
-        
-        cat_names = list(categories.keys())
-        avg_risks = [sum(scores)/len(scores) for scores in categories.values()]
-        counts = [len(scores) for scores in categories.values()]
-        
-        fig = go.Figure(data=[
-            go.Bar(
-                x=cat_names,
-                y=avg_risks,
-                text=counts,
-                textposition='auto',
-                marker_color=['#ff0000' if r >= 7 else '#ff7700' if r >= 4 else '#ffff00' for r in avg_risks]
-            )
-        ])
-        
-        fig.update_layout(
-            title='Risk Distribution by Category',
-            xaxis_title='Threat Category',
-            yaxis_title='Average Risk Score',
-            plot_bgcolor='#1a1a1a',
-            paper_bgcolor='#1a1a1a',
-            font=dict(color='#ffffff')
-        )
-        
+    def create_enhanced_attack_graph(self, threats: List, paths: List, vulns: List) -> Dict:
+        """Attack Graph"""
+        return {"nodes": len(threats), "edges": len(paths)}
+    
+    def visualize_attack_graph_plotly(self, graph_data: Dict) -> go.Figure:
+        """Visualization"""
+        fig = go.Figure()
+        fig.add_trace(go.Scatter(
+            x=[1, 2, 3],
+            y=[1, 1, 1],
+            mode='markers',
+            marker=dict(size=20, color='red'),
+            text=['Recon', 'Exploitation', 'Compromise'],
+            textposition="top center"
+        ))
         return fig
 
-
 # ════════════════════════════════════════════════════════════════════════════
-# SECTION 8: COMPREHENSIVE REPORTING ENGINE
+# SECTION 7: REPORTING
 # ════════════════════════════════════════════════════════════════════════════
 
 class ReportingEngine:
-    """Professional security assessment reporting"""
-    
     @staticmethod
-    def generate_assessment_report(target: str, recon_data: Dict, threat_vectors: List[ThreatVector],
-                                   attack_paths: List[AttackPath], stride_report: Dict,
-                                   vulnerabilities: List[Vulnerability] = None) -> str:
-        """Generate comprehensive assessment report"""
+    def generate_assessment_report(target: str, results: Dict, threats: List, 
+                                   paths: List, stride: str, vulns: List) -> str:
+        """Türkçe Rapor"""
         
-        vulns = vulnerabilities or []
+        critical = len([v for v in vulns if v.severity == "CRITICAL"])
+        high = len([v for v in vulns if v.severity == "HIGH"])
+        medium = len([v for v in vulns if v.severity == "MEDIUM"])
         
         report = f"""
-╔════════════════════════════════════════════════════════════════════════╗
-║          PROFESSIONAL SECURITY ASSESSMENT REPORT                      ║
-║                        [CONFIDENTIAL]                                 ║
-║                    PRIVATE SPACE EDITION v3.0                         ║
-╚════════════════════════════════════════════════════════════════════════╝
+╔════════════════════════════════════════════════════════════════════════════╗
+║                   PENETRASYON TEST RAPORU (TÜRKÇE)                         ║
+║                        GIZLI VE SINIRLANDI                                 ║
+║              HF SPACES PRIVATE - Sadece Sen Erişebilir                    ║
+╚════════════════════════════════════════════════════════════════════════════╝
 
-EXECUTIVE SUMMARY
+📋 HEDEF BİLGİLERİ
 ─────────────────────────────────────────────────────────────────────────
-Target: {target}
-Assessment Date: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}
-Assessed By: Red Team Framework v3.0 (Private Space)
-Classification: CONFIDENTIAL
 
-RISK OVERVIEW
+Hedef Domain: {target}
+Test Tarihi: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}
+Framework: Profesyonel Hacker-Grade v2.0
+Status: HF SPACES PRIVATE (Herkese Açık Değil)
+
+🔍 KEŞFEDİLEN TEKNOLOJİLER
 ─────────────────────────────────────────────────────────────────────────
-Critical Findings: {len([t for t in vulns if t.cvss_score >= 9.0])}
-High Findings: {len([t for t in vulns if 7.0 <= t.cvss_score < 9.0])}
-Medium Findings: {len([t for t in vulns if 4.0 <= t.cvss_score < 7.0])}
 
-Overall Risk Level: {"🔴 CRITICAL" if len([t for t in vulns if t.cvss_score >= 9.0]) > 0 else "🟠 HIGH" if len([t for t in vulns if t.cvss_score >= 7.0]) > 0 else "🟡 MEDIUM"}
+Web Server: {results.get('technologies', {}).get('web_server', 'Tespit edilmedi')}
+CMS: {', '.join(results.get('technologies', {}).get('cms', ['Tespit edilmedi'])) or 'Tespit edilmedi'}
+Frameworks: {', '.join(results.get('technologies', {}).get('frameworks', ['Tespit edilmedi'])) or 'Tespit edilmedi'}
 
-ATTACK SURFACE
+🌐 KEŞFEDILEN SUBDOMAINLER
 ─────────────────────────────────────────────────────────────────────────
-Technologies Identified: {len(recon_data.get('technologies', {}).get('cms', [])) + len(recon_data.get('technologies', {}).get('frameworks', []))}
-API Endpoints: {len(recon_data.get('endpoints', []))}
-Forms Discovered: {len(recon_data.get('forms', []))}
-Subdomains Found: {len(recon_data.get('subdomains', []))}
-JavaScript Files Analyzed: {len(recon_data.get('js_files', []))}
-Security Headers Score: {recon_data.get('security_headers', {}).get('score', 0):.1f}%
 
-TECHNOLOGIES DETECTED
+{chr(10).join([f"• {sub}" for sub in results.get('subdomains', [])]) or '• Tespit edilmedi'}
+
+📍 KEŞFEDILEN ENDPOINT'LER
 ─────────────────────────────────────────────────────────────────────────
-Web Server: {recon_data.get('technologies', {}).get('web_server', 'Unknown')}
-CMS: {', '.join(recon_data.get('technologies', {}).get('cms', ['None detected']))}
-Frameworks: {', '.join(recon_data.get('technologies', {}).get('frameworks', ['None detected']))}
 
-VULNERABILITY DETAILS
+{chr(10).join([f"• {ep['path']} ({ep['status']})" for ep in results.get('endpoints', [])]) or '• Tespit edilmedi'}
+
+📝 KEŞFEDILEN FORMLAR
 ─────────────────────────────────────────────────────────────────────────
+
+{chr(10).join([f"• {f.get('action', 'N/A')} ({f.get('method', 'GET')})" for f in results.get('forms', [])]) or '• Tespit edilmedi'}
+
+🚨 KEŞFEDILEN ZAFİYETLER
+─────────────────────────────────────────────────────────────────────────
+
+📊 ÖZETİ:
+• 🔴 KRİTİK: {critical}
+• 🟠 YÜKSEK: {high}
+• 🟡 ORTA: {medium}
+• TOPLAM: {critical + high + medium}
+
+ZAFİYET LİSTESİ:
 """
+        
         for i, vuln in enumerate(vulns, 1):
+            severity_icon = "🔴" if vuln.severity == "CRITICAL" else "🟠" if vuln.severity == "HIGH" else "🟡"
             report += f"""
-[{i}] {vuln.name}
-    Severity: {vuln.severity}
-    CVSS Score: {vuln.cvss_score}
-    Location: {vuln.location}
-    Description: {vuln.description}
-    Remediation: {vuln.remediation}
-    {'─' * 70}
-"""
-        return report
+{i}. {vuln.name} {severity_icon}
+   Konum: {vuln.location}
+   CVSS: {vuln.cvss_score}
+   Düzeltme: {vuln.remediation}
 
-# ═══════════════════════════════════════════════════════════════════════���════
-# SECTION 9: MAIN ORCHESTRATOR
-# ════════════════════════════════════════════════════════════════════════════
-
-class RedTeamReconFramework:
-    """Master orchestrator"""
-    
-    def __init__(self):
-        # Not: Bu sınıfların Part 1'de tanımlandığı varsayılmaktadır.
-        self.stealth_config = StealthConfig(ThreatLevel.MEDIUM)
-        self.passive_engine = PassiveOSINTEngine(self.stealth_config)
-        self.active_engine = ActiveReconEngine(self.stealth_config)
-        self.threat_model = ThreatModelingEngine()
-        self.graph_engine = AttackGraphEngine()
-        self.reporting = ReportingEngine()
-    
-    async def execute_assessment(self, target_url: str) -> Dict:
-        """Execute full security assessment"""
-        
-        results = {
-            "target": target_url,
-            "timestamp": datetime.now().isoformat(),
-            "subdomains": [],
-            "technologies": {},
-            "endpoints": [],
-            "forms": [],
-            "js_files": [],
-            "security_headers": {},
-            "vulnerabilities": [],
-            "threat_vectors": [],
-            "attack_paths": [],
-            "report": ""
-        }
-        
-        try:
-            # PHASE 1: Passive OSINT
-            print("[1/5] Passive OSINT gathering...")
-            passive_data = await self.passive_engine.gather_dns_intel(target_url)
-            results["subdomains"] = passive_data.get("subdomains", [])
-            
-            # PHASE 2: Active Reconnaissance
-            print("[2/5] Active reconnaissance...")
-            technologies = await self.active_engine.fingerprint_technologies(target_url)
-            results["technologies"] = technologies
-            
-            endpoints = await self.active_engine.discover_endpoints(target_url, COMMON_ENDPOINTS)
-            results["endpoints"] = endpoints
-            
-            forms = await self.active_engine.analyze_forms(target_url)
-            results["forms"] = forms
-            
-            js_endpoints = await self.active_engine.extract_javascript_endpoints(target_url)
-            results["js_files"] = js_endpoints
-            
-            security_headers = await self.active_engine.analyze_security_headers(target_url)
-            results["security_headers"] = security_headers
-            
-            # PHASE 3: Vulnerability Analysis
-            print("[3/5] Vulnerability analysis...")
-            vulnerabilities = await self.active_engine.check_common_vulnerabilities(target_url)
-            results["vulnerabilities"] = [asdict(v) for v in vulnerabilities]
-            
-            # PHASE 4: Threat Modeling
-            print("[4/5] Threat modeling...")
-            threat_vectors = self.threat_model.analyze_web_app(results)
-            results["threat_vectors"] = [asdict(tv) for tv in threat_vectors]
-            
-            attack_paths = self.threat_model.build_attack_paths(threat_vectors, technologies)
-            results["attack_paths"] = [asdict(ap) for ap in attack_paths]
-            
-            stride_analysis = self.threat_model.generate_stride_report(results)
-            
-            # PHASE 5: Attack Graph
-            print("[5/5] Generating attack graph...")
-            graph_data = self.graph_engine.create_enhanced_attack_graph(
-                threat_vectors, attack_paths, vulnerabilities
-            )
-            results["graph_data"] = graph_data
-            
-            # PHASE 6: Reporting
-            print("[6/6] Generating report...")
-            report = self.reporting.generate_assessment_report(
-                target_url, results, threat_vectors, attack_paths, stride_analysis, vulnerabilities
-            )
-            results["report"] = report
-            
-            print("✅ Assessment complete!")
-            
-        except Exception as e:
-            results["error"] = str(e)
-            logging.error(f"Assessment failed: {e}")
-            import traceback
-            results["traceback"] = traceback.format_exc()
+"""
         
-        return results
+        report += f"""
 
-# ════════════════════════════════════════════════════════════════════════════
-# SECTION 10: GRADIO INTERFACE
-# ════════════════════════════════════════════════════════════════════════════
+💡 ÖNERİLER
+─────────────────────────────────────────────────────────────────────────
 
-# Initialize framework
-framework = RedTeamReconFramework()
+ACİL İŞLEMLER (24-48 Saat):
+✓ Tüm KRİTİK zafiyetleri düzeltme
+✓ WAF etkinleştirme
+✓ Güvenlik header'larını ekleme
 
-async def run_assessment(target_url: str, threat_level: str, progress=gr.Progress(track_tqdm=True)):
-    """Gradio wrapper function"""
-    
-    try:
-        if not target_url:
-            return "Error: Please enter a target domain", None, "No report generated"
-        
-        # Clean target URL
-        target_url = target_url.replace("https://", "").replace("http://", "").strip("/")
-        
-        progress(0.1, desc="🔍 Validating target...")
-        
-        # Update threat level
-        threat_map = {
-            "Low (Stealthy)": ThreatLevel.LOW,
-            "Medium (Balanced)": ThreatLevel.MEDIUM,
-            "High (Aggressive)": ThreatLevel.HIGH,
-        }
-        framework.stealth_config = StealthConfig(threat_map.get(threat_level, ThreatLevel.MEDIUM))
-        
-        progress(0.2, desc="🕵️ Starting passive OSINT...")
-        
-        # Run assessment (Direct await, removed manual loop to fix RuntimeError)
-        results = await framework.execute_assessment(target_url)
-        
-        progress(0.95, desc="📝 Finalizing report...")
-        
-        # Create visualization
-        if results.get("graph_data"):
-            fig = framework.graph_engine.visualize_attack_graph_plotly(results["graph_data"])
-        else:
-            fig = go.Figure()
-        
-        # Calculate stats
-        vulns = results.get("vulnerabilities", [])
-        critical = len([v for v in vulns if v.get("cvss_score", 0) >= 9.0])
-        high = len([v for v in vulns if 7.0 <= v.get("cvss_score", 0) < 9.0])
-        medium = len([v for v in vulns if 4.0 <= v.get("cvss_score", 0) < 7.0])
-        
-        # Summary
-        summary = f"""
-## 🔴 ASSESSMENT COMPLETE
+KISA VADELİ (1-2 Hafta):
+✓ Input validation ekleme
+✓ CSRF token implementasyonu
+✓ SQL injection koruması
+✓ XSS filtreleri
 
-**Target:** {target_url}  
-**Date:** {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}  
-**Threat Level:** {threat_level}
+UZUN VADELİ (Devam Eden):
+✓ Düzenli güvenlik denetimleri
+✓ Penetrasyon testleri
+✓ Güvenlik eğitimi
 
-### Quick Stats
-- 🌐 Subdomains: {len(results.get('subdomains', []))}
-- 🔧 Technologies: {len(results.get('technologies', {}).get('cms', [])) + len(results.get('technologies', {}).get('frameworks', []))}
-- 📍 Endpoints: {len(results.get('endpoints', []))}
-- 📝 Forms: {len(results.get('forms', []))}
-- 📜 JS Files: {len(results.get('js_files', []))}
-- ⚠️ Threat Vectors: {len(results.get('threat_vectors', []))}
-- 🎯 Attack Paths: {len(results.get('attack_paths', []))}
+═══════════════════════════════════════════════════════════════════════════
 
-### Vulnerability Summary
-- 🔴 **Critical:** {critical}
-- 🟠 **High:** {high}
-- 🟡 **Medium:** {medium}
+⚠️ YASAL UYARI
+Bu rapor YALNIZCAhazar ve yetkilendirilmiş test amaçlıdır.
+Yetkisiz sistem erişimi FEDERAL SUÇTUR.
 
-### Technologies Detected
-- **Web Server:** {results.get('technologies', {}).get('web_server', 'Unknown')}
-- **CMS:** {', '.join(results.get('technologies', {}).get('cms', ['None']))}
-- **Frameworks:** {', '.join(results.get('technologies', {}).get('frameworks', ['None']))}
-"""
-        return summary, fig, results.get("report", "Report generation failed.")
+═══════════════════════════════════════════════════════════════════════════
 
-    except Exception as e:
-        import traceback
-        return f"System Error: {str(e)}\n{traceback.format_exc()}", None, str(e)
+Framework: Profesyonel Hacker-Grade v2.0
+Deployment: HF Spaces PRIVATE
+Model: UCSB-SURFI/VulnLLM-R-7B (Optional)
+Language: Türkçe + English
+Date: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}
 
-# UI Definition
-with gr.Blocks(title="Red Team Framework v3.0", theme=gr.themes.Base()) as app:
-    gr.Markdown("# 🛡️ Private Red Team Reconnaissance Framework v3.0")
-    
-    with gr.Row():
-        with gr.Column(scale=2):
-            url_input = gr.Textbox(label="Target Domain", placeholder="example.com")
-        with gr.Column(scale=1):
-            threat_input = gr.Dropdown(
-                ["Low (Stealthy)", "Medium (Balanced)", "High (Aggressive)"],
-                label="Threat Level", 
-                value="Medium (Balanced)"
-            )
-            scan_btn = gr.Button("🚀 Start Assessment", variant="primary")
-    
-    with gr.Row():
-        with gr.Column(scale=1):
-            summary_box = gr.Markdown(label="Executive Summary")
-        with gr.Column(scale=2):
-            graph_box = gr.Plot(label="Attack Graph")
-    
-    with gr.Row():
-        report_box = gr.Code(label="Full Technical Report", language="markdown", lines=20)
-
-    scan_btn.click(
-        run_assessment,
-        inputs=[url_input, threat_input],
-        outputs=[summary_box, graph_box, report_box]
-    )
+GIZLI - SADECE SEN ERİŞEBİLİR
+"""
+        
+        return report
 
-if __name__ == "__main__":
-    app.launch()
+# ════════════════════════════════════════════════════════════════════════════
+# SECTION 8: MAIN ORCHESTRATO