Delete app.py

app.py

@@ -1,126 +0,0 @@
-"""
-RED TEAM RECONNAISSANCE + BANKING SECURITY ASSESSMENT
-Advanced Web & Financial Institution Testing Framework
-"""
-
-import gradio as gr
-import asyncio
-import aiohttp
-import json
-import re
-import logging
-import random
-import time
-from typing import Dict, List, Tuple, Optional
-from dataclasses import dataclass, asdict
-from datetime import datetime
-from collections import defaultdict
-import requests
-from bs4 import BeautifulSoup
-import hashlib
-import base64
-import networkx as nx
-import plotly.graph_objects as go
-from enum import Enum
-
-# ════════════════════════════════════════════════════════════════════════════
-# SECTION 0: ENHANCED THREAT DEFINITIONS (Banking + Web)
-# ════════════════════════════════════════════════════════════════════════════
-
-BANKING_THREATS = {
-    "Authentication": {
-        "description": "Weak login mechanisms",
-        "techniques": ["T1110", "T1528", "T1556"],
-        "examples": ["Brute force", "Credential stuffing", "Session hijacking"],
-        "impact": "Account takeover, fraud"
-    },
-    "Transaction Security": {
-        "description": "Payment processing vulnerabilities",
-        "techniques": ["T1565", "T1566"],
-        "examples": ["MITM on transactions", "Amount tampering", "Double spending"],
-        "impact": "Financial loss, fraud"
-    },
-    "Data Protection": {
-        "description": "Customer data exposure",
-        "techniques": ["T1041", "T1048"],
-        "examples": ["PII leakage", "Account details exposure", "Transaction history"],
-        "impact": "Identity theft, compliance violation"
-    },
-    "Regulatory Compliance": {
-        "description": "Compliance violation risks",
-        "techniques": ["T1562"],
-        "examples": ["Missing audit logs", "No encryption", "Weak passwords"],
-        "impact": "Regulatory fines, license revocation"
-    },
-    "API Security": {
-        "description": "API endpoint vulnerabilities",
-        "techniques": ["T1526", "T1087"],
-        "examples": ["IDOR", "Rate limit bypass", "Token theft"],
-        "impact": "Data breach, service disruption"
-    },
-    "Infrastructure": {
-        "description": "Server/network vulnerabilities",
-        "techniques": ["T1046", "T1595"],
-        "examples": ["Unpatched systems", "Exposed services", "Default credentials"],
-        "impact": "Compromise, lateral movement"
-    }
-}
-
-BANKING_FINGERPRINTS = {
-    "Banking Platforms": {
-        "Alipay": [r"alipay", r"alibaba"],
-        "Stripe": [r"stripe\.com", r"stripe\.js"],
-        "PayPal": [r"paypal\.com", r"paypalapi"],
-        "Square": [r"squareup\.com", r"square-api"],
-        "Wise": [r"wise\.com", r"transferwise"],
-        "Banking APIs": [r"openbanking", r"fintech", r"banking-api"]
-    },
-    "Compliance Indicators": {
-        "PCI-DSS": [r"pci", r"pci-dss", r"compliance"],
-        "OAuth": [r"oauth", r"oauth2"],
-        "2FA": [r"two-factor", r"2fa", r"totp", r"otp"],
-        "Encryption": [r"aes", r"rsa", r"https"]
-    },
-    "Fraud Detection": {
-        "Risk Scoring": [r"risk-score", r"fraud-score"],
-        "Geolocation": [r"geo-ip", r"location-check"],
-        "Device Check": [r"device-id", r"fingerprint"]
-    }
-}
-
-# ════════════════════════════════════════════════════════════════════════════
-# SECTION 1: BANKING-SPECIFIC RECONNAISSANCE
-# ════════════════════════════════════════════════════════════════════════════
-
-class BankingReconEngine:
-    """Specialized reconnaissance for financial institutions"""
-    
-    def __init__(self):
-        self.logger = logging.getLogger("BankingRecon")
-        self.findings = []
-    
-    async def check_authentication_security(self, url: str) -> Dict:
-        """Analyze authentication mechanisms"""
-        findings = {
-            "mfa_enabled": False,
-            "password_policy": None,
-            "session_timeout": None,
-            "login_attempts_limit": None,
-            "vulnerabilities": []
-        }
-        
-        try:
-            headers = {
-                "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64)"
-            }
-            
-            resp = requests.get(f"https://{url}/login", headers=headers, timeout=10, verify=False)
-            content = resp.text
-            
-            # Check for MFA indicators
-            if re.search(r"2fa|two-factor|totp|authenticator|mfa", content, re.IGNORECASE):
-                findings["mfa_enabled"] = True
-            
-            # Password policy detection
-            password_patterns = re.findall(r"password.*?(?:min|max|length|char)", content, re.IGNORECASE)
-            if password_patterns