{“lastseen”:”2025-12-09T17:45:14″,”description”:”Cloudbleed Scanner is a comprehensive security tool designed to detect memory leak patterns similar to the 2017 Cloudbleed incident, where Cloudflare’s reverse proxies leaked uninitialized memory containing sensitive data…”,”published”:”2025-12-09T00:00:00″,”modified”:”2025-12-09T00:00:00″,”type”:”packetstorm”,”title”:”\ud83d\udcc4 Cloudbleed Scanner”,”source”:””,”references”:””,”id”:”PACKETSTORM:212603″,”bulletinFamily”:”exploit”,”cwe”:null,”cvelist”:[],”sourceData”:”=============================================================================================================================================\\n | # Title : Cloudbleed Scanner – Detects Cloudflare Memory Leak Patterns |\\n | # Author : indoushka |\\n | # Tested on : windows 11 Fr(Pro) \/ browser : Mozilla firefox 145.0.2 (64 bits) |\\n | # Vendor : https:\/\/www.cloudflare.com\/ |\\n =============================================================================================================================================\\n \\n [+] References : https:\/\/packetstorm.news\/files\/id\/212490\/ \\n \\n [+] Summary : Cloudbleed Scanner is a comprehensive security tool designed to detect memory leak patterns similar to the 2017 Cloudbleed incident, \\n where Cloudflare’s reverse proxies leaked uninitialized memory containing sensitive data.\\n \\n \\n [+] POC :\\tpython poc.py\\n \\n #!\/usr\/bin\/env python3\\n \\”\\”\\”\\n Cloudbleed Scanner – Detects Cloudflare Memory Leak Patterns\\n Author: indoushka\\n \\”\\”\\”\\n \\n import asyncio\\n import aiohttp\\n import json\\n import re\\n import sys\\n import os\\n from datetime import datetime, timedelta\\n import logging\\n import ssl\\n import certifi\\n import hashlib\\n import base64\\n from typing import Dict, List, Set, Optional, Any, Tuple\\n from collections import defaultdict\\n from dataclasses import dataclass\\n import sqlite3\\n from pathlib import Path\\n from urllib.parse import urlparse\\n \\n # Setup logging\\n logging.basicConfig(\\n level=logging.INFO,\\n format=’%(asctime)s – %(levelname)s – %(message)s’\\n )\\n logger = logging.getLogger(__name__)\\n \\n # SSL Context\\n ssl_context = ssl.create_default_context(cafile=certifi.where())\\n \\n @dataclass\\n class IOCClassification:\\n \\”\\”\\”IOC Classification Levels\\”\\”\\”\\n critical: List[str]\\n suspicious: List[str]\\n low_risk: List[str]\\n \\n @dataclass\\n class MITRETactic:\\n \\”\\”\\”MITRE ATT\\u0026CK Tactic Mapping\\”\\”\\”\\n id: str\\n name: str\\n techniques: List[str]\\n confidence: float\\n \\n class CompleteReportSaver:\\n \\”\\”\\”Save COMPLETE reports with ALL details – NO TRUNCATION\\”\\”\\”\\n \\n @staticmethod\\n def decode_jwt(token: str) -\\u003e Dict:\\n \\”\\”\\”Decode JWT token to header and payload – COMPLETE\\”\\”\\”\\n try:\\n parts = token.split(‘.’)\\n if len(parts) != 3:\\n return {}\\n \\n # Decode header\\n header_padding = ‘=’ * (4 – len(parts[0]) % 4) if len(parts[0]) % 4 else ”\\n payload_padding = ‘=’ * (4 – len(parts[1]) % 4) if len(parts[1]) % 4 else ”\\n \\n header = base64.b64decode(parts[0] + header_padding).decode(‘utf-8′, errors=’ignore’)\\n payload = base64.b64decode(parts[1] + payload_padding).decode(‘utf-8′, errors=’ignore’)\\n \\n return {\\n ‘header’: json.loads(header) if header else {},\\n ‘payload’: json.loads(payload) if payload else {}\\n }\\n except Exception as e:\\n return {‘error’: str(e)}\\n \\n @staticmethod\\n def format_hex_string(hex_str: str) -\\u003e str:\\n \\”\\”\\”Format hex string with grouping for better readability\\”\\”\\”\\n if len(hex_str) \\u003e 100:\\n # Group every 8 characters\\n grouped = ‘ ‘.join([hex_str[i:i+8] for i in range(0, len(hex_str), 8)])\\n return f\\”{grouped}\\\\nLength: {len(hex_str)} characters\\”\\n return hex_str\\n \\n @staticmethod\\n def format_binary_data(binary_str: str) -\\u003e str:\\n \\”\\”\\”Format binary\/non-printable data\\”\\”\\”\\n if not binary_str:\\n return \\”\\”\\n \\n # Show hex representation for non-printable\\n hex_repr = binary_str.encode(‘utf-8′, errors=’ignore’).hex()\\n printable = ”.join([c if 32 \\u003c= ord(c) \\u003c 127 else ‘.’ for c in binary_str])\\n \\n result = f\\”Raw: {binary_str}\\\\n\\”\\n result += f\\”Hex: {hex_repr}\\\\n\\”\\n result += f\\”Printable: {printable}\\\\n\\”\\n result += f\\”Length: {len(binary_str)} characters\\”\\n \\n return result\\n \\n @staticmethod\\n def save_complete_report(result: Dict, filename: str = None) -\\u003e str:\\n \\”\\”\\”Save COMPLETE report in TXT format – NO TRUNCATION\\”\\”\\”\\n if filename is None:\\n timestamp = datetime.now().strftime(\\”%Y%m%d_%H%M%S\\”)\\n domain = urlparse(result[‘url’]).netloc.replace(‘.’, ‘_’)[:50]\\n filename = f\\”CLOUDBLEED_COMPLETE_REPORT_{domain}_{timestamp}.txt\\”\\n \\n with open(filename, ‘w’, encoding=’utf-8′, errors=’replace’) as f:\\n # ==================== REPORT HEADER ====================\\n f.write(\\”=\\”*120 + \\”\\\\n\\”)\\n f.write(\\”\ud83d\udea8 CLOUDBLEED COMPLETE THREAT INTELLIGENCE SCAN REPORT \ud83d\udea8\\\\n\\”)\\n f.write(\\”\u26a0\ufe0f Cloudflare Reverse Proxies Memory Leak Detection – COMPLETE DATA DISPLAY \u26a0\ufe0f\\\\n\\”)\\n f.write(\\”=\\”*120 + \\”\\\\n\\\\n\\”)\\n \\n # ==================== BASIC INFORMATION ====================\\n f.write(\\”\ud83d\udcca \ud83d\udcca \ud83d\udcca BASIC INFORMATION \ud83d\udcca \ud83d\udcca \ud83d\udcca\\\\n\\”)\\n f.write(\\”=\\”*120 + \\”\\\\n\\”)\\n f.write(f\\”\ud83c\udf10 URL: {result.get(‘url’, ‘N\/A’)}\\\\n\\”)\\n f.write(f\\”\ud83d\udccb Status Code: {result.get(‘status’, ‘N\/A’)}\\\\n\\”)\\n f.write(f\\”\ud83d\udd50 Scan Time: {result.get(‘timestamp’, ‘N\/A’)}\\\\n\\”)\\n f.write(f\\”\ud83d\udccf Content Size: {result.get(‘content_length’, 0):,} bytes\\\\n\\”)\\n f.write(f\\”\ud83d\udcc4 Content Type: {result.get(‘content_type’, ‘Unknown’)}\\\\n\\”)\\n f.write(f\\”\ud83d\udda5\ufe0f Server Header: {result.get(‘server’, ‘Unknown’)}\\\\n\\”)\\n f.write(f\\”\ud83d\udd17 Final URL (after redirects): {result.get(‘final_url’, ‘N\/A’)}\\\\n\\\\n\\”)\\n \\n if result.get(‘error’):\\n f.write(f\\”\u274c \u274c \u274c SCAN ERROR \u274c \u274c \u274c\\\\n\\”)\\n f.write(f\\”Error: {result[‘error’]}\\\\n\\\\n\\”)\\n return filename\\n \\n # ==================== FINGERPRINTING ====================\\n fingerprint = result.get(‘fingerprint’, {})\\n if fingerprint:\\n f.write(\\”\ud83d\udda5\ufe0f \ud83d\udda5\ufe0f \ud83d\udda5\ufe0f ADVANCED PLATFORM FINGERPRINTING \ud83d\udda5\ufe0f \ud83d\udda5\ufe0f \ud83d\udda5\ufe0f\\\\n\\”)\\n f.write(\\”=\\”*120 + \\”\\\\n\\”)\\n \\n tech_mapping = [\\n (‘\ud83c\udf10 CDN Provider’, ‘cdn’),\\n (‘\ud83d\udee1\ufe0f WAF Protection’, ‘waf’),\\n (‘\ud83d\udcbb Programming Language’, ‘language’),\\n (‘\ud83c\udfd7\ufe0f Web Framework’, ‘framework’),\\n (‘\ud83d\udda5\ufe0f Server Software’, ‘server_software’),\\n ]\\n \\n for display_name, key in tech_mapping:\\n if fingerprint.get(key):\\n f.write(f\\”\u2022 {display_name}: {fingerprint[key]}\\\\n\\”)\\n \\n if fingerprint.get(‘technologies’):\\n f.write(f\\”\\\\n\ud83d\udee0\ufe0f ALL DETECTED TECHNOLOGIES:\\\\n\\”)\\n for tech in fingerprint[‘technologies’]:\\n f.write(f\\” \u2713 {tech}\\\\n\\”)\\n \\n f.write(f\\”\\\\n\ud83d\udcca FINGERPRINT RISK SCORE: {fingerprint.get(‘risk_score’, 0):.2f}\/1.0\\\\n\\”)\\n f.write(\\”\\\\n\\” + \\”=\\”*120 + \\”\\\\n\\\\n\\”)\\n \\n # ==================== HEADERS ANALYSIS ====================\\n headers_data = result.get(‘findings’, {}).get(‘headers’, {})\\n if headers_data:\\n f.write(\\”\ud83d\udccb \ud83d\udccb \ud83d\udccb COMPLETE HEADERS ANALYSIS \ud83d\udccb \ud83d\udccb \ud83d\udccb\\\\n\\”)\\n f.write(\\”=\\”*120 + \\”\\\\n\\”)\\n \\n # ALL Security Headers Present\\n if headers_data.get(‘security_headers’):\\n f.write(\\”\u2705 \u2705 \u2705 PRESENT SECURITY HEADERS:\\\\n\\”)\\n f.write(\\”-\\”*80 + \\”\\\\n\\”)\\n for header, data in headers_data[‘security_headers’].items():\\n f.write(f\\”\\\\n\ud83d\udd39 {header}:\\\\n\\”)\\n f.write(f\\” Value: {data.get(‘value’, ”)}\\\\n\\”)\\n f.write(f\\” Risk Level: {data.get(‘risk’, ‘unknown’).upper()}\\\\n\\”)\\n f.write(\\”\\\\n\\”)\\n \\n # COMPLETE LIST of Missing Security Headers\\n if headers_data.get(‘missing_headers’):\\n f.write(\\”\u274c \u274c \u274c MISSING SECURITY HEADERS:\\\\n\\”)\\n f.write(\\”-\\”*80 + \\”\\\\n\\”)\\n for idx, header in enumerate(headers_data[‘missing_headers’], 1):\\n f.write(f\\”{idx:2d}. {header}\\\\n\\”)\\n \\n # Detailed explanations for EACH missing header\\n security_headers_explanation = {\\n ‘Strict-Transport-Security’: {\\n ‘risk’: ‘CRITICAL’,\\n ‘description’: ‘Prevents SSL stripping attacks and protocol downgrade attacks’,\\n ‘impact’: ‘Without HSTS, attackers can force HTTPS sites to HTTP’,\\n ‘recommendation’: ‘Implement: max-age=31536000; includeSubDomains; preload’\\n },\\n ‘Content-Security-Policy’: {\\n ‘risk’: ‘CRITICAL’,\\n ‘description’: ‘Prevents XSS, clickjacking, and other code injection attacks’,\\n ‘impact’: ‘Site vulnerable to cross-site scripting attacks’,\\n ‘recommendation’: ‘Implement strict CSP with proper directives’\\n },\\n ‘X-Frame-Options’: {\\n ‘risk’: ‘HIGH’,\\n ‘description’: ‘Prevents clickjacking attacks by controlling framing’,\\n ‘impact’: ‘Site can be embedded in malicious frames’,\\n ‘recommendation’: ‘Set to: DENY or SAMEORIGIN’\\n },\\n ‘X-Content-Type-Options’: {\\n ‘risk’: ‘MEDIUM’,\\n ‘description’: ‘Prevents MIME type sniffing attacks’,\\n ‘impact’: ‘Browsers may interpret files incorrectly’,\\n ‘recommendation’: ‘Set to: nosniff’\\n },\\n ‘Referrer-Policy’: {\\n ‘risk’: ‘MEDIUM’,\\n ‘description’: ‘Controls how much referrer information is sent’,\\n ‘impact’: ‘Potential information leakage through referrer headers’,\\n ‘recommendation’: ‘Set to: strict-origin-when-cross-origin’\\n }\\n }\\n \\n f.write(\\”\\\\n\ud83d\udcdd \ud83d\udcdd \ud83d\udcdd DETAILED EXPLANATION OF MISSING HEADERS \ud83d\udcdd \ud83d\udcdd \ud83d\udcdd\\\\n\\”)\\n f.write(\\”-\\”*80 + \\”\\\\n\\”)\\n for header in headers_data[‘missing_headers’]:\\n if header in security_headers_explanation:\\n info = security_headers_explanation[header]\\n f.write(f\\”\\\\n\ud83d\udd38 {header}:\\\\n\\”)\\n f.write(f\\” Risk Level: {info[‘risk’]}\\\\n\\”)\\n f.write(f\\” Description: {info[‘description’]}\\\\n\\”)\\n f.write(f\\” Impact: {info[‘impact’]}\\\\n\\”)\\n f.write(f\\” Recommendation: {info[‘recommendation’]}\\\\n\\”)\\n f.write(\\”\\\\n\\”)\\n \\n # Server Information with COMPLETE details\\n if headers_data.get(‘server_info’, {}).get(‘server’):\\n server = headers_data[‘server_info’][‘server’]\\n f.write(\\”\ud83d\udda5\ufe0f \ud83d\udda5\ufe0f \ud83d\udda5\ufe0f SERVER INFORMATION \ud83d\udda5\ufe0f \ud83d\udda5\ufe0f \ud83d\udda5\ufe0f\\\\n\\”)\\n f.write(\\”-\\”*80 + \\”\\\\n\\”)\\n f.write(f\\”Server Header: {server}\\\\n\\”)\\n \\n # Extract and display ALL version information\\n version_patterns = [\\n r'(\\\\d+\\\\.\\\\d+(?:\\\\.\\\\d+)?(?:\\\\.\\\\d+)?)’, # Standard version\\n r’v(\\\\d+)’, # vX format\\n r'(\\\\d{8})’, # Date format\\n r'(\\\\d{4}[a-z]?)’ # Year + optional letter\\n ]\\n \\n found_versions = []\\n for pattern in version_patterns:\\n matches = re.findall(pattern, server)\\n found_versions.extend(matches)\\n \\n if found_versions:\\n f.write(\\”\\\\n\u26a0\ufe0f \u26a0\ufe0f \u26a0\ufe0f EXPOSED VERSION INFORMATION \u26a0\ufe0f \u26a0\ufe0f \u26a0\ufe0f\\\\n\\”)\\n f.write(\\”The following version information was exposed:\\\\n\\”)\\n for version in found_versions:\\n if isinstance(version, tuple):\\n version = version[0]\\n f.write(f\\” \u2022 Version: {version}\\\\n\\”)\\n \\n f.write(\\”\\\\n\ud83d\udea8 SECURITY IMPLICATIONS:\\\\n\\”)\\n f.write(\\”\u2022 Attackers can target specific vulnerabilities for this version\\\\n\\”)\\n f.write(\\”\u2022 Automated scanners can identify known exploits\\\\n\\”)\\n f.write(\\”\u2022 Version disclosure violates security best practices\\\\n\\”)\\n f.write(\\”\\\\n\\” + \\”=\\”*120 + \\”\\\\n\\\\n\\”)\\n \\n # ==================== SECURITY ANALYSIS ====================\\n security = result.get(‘findings’, {}).get(‘security’, {})\\n if security:\\n f.write(\\”\ud83d\udd12 \ud83d\udd12 \ud83d\udd12 COMPREHENSIVE SECURITY ANALYSIS \ud83d\udd12 \ud83d\udd12 \ud83d\udd12\\\\n\\”)\\n f.write(\\”=\\”*120 + \\”\\\\n\\”)\\n f.write(f\\”\ud83c\udfaf OVERALL RISK LEVEL: {security.get(‘risk_level’, ‘low’).upper()}\\\\n\\”)\\n f.write(f\\”\ud83d\udcc8 RISK SCORE: {security.get(‘risk_score’, 0):.2f}\/1.0\\\\n\\\\n\\”)\\n \\n if security.get(‘issues’):\\n f.write(\\”\u26a0\ufe0f \u26a0\ufe0f \u26a0\ufe0f SECURITY ISSUES FOUND \u26a0\ufe0f \u26a0\ufe0f \u26a0\ufe0f\\\\n\\”)\\n f.write(\\”-\\”*80 + \\”\\\\n\\”)\\n for idx, issue in enumerate(security.get(‘issues’, []), 1):\\n f.write(f\\”{idx:2d}. {issue}\\\\n\\”)\\n f.write(\\”\\\\n\\”)\\n \\n # ==================== COMPLETE MEMORY LEAK PATTERNS ====================\\n if security.get(‘memory_patterns’):\\n f.write(\\”\ud83d\udea8 \ud83d\udea8 \ud83d\udea8 CLOUDBLEED MEMORY LEAK PATTERNS DETECTED \ud83d\udea8 \ud83d\udea8 \ud83d\udea8\\\\n\\”)\\n f.write(\\”=\\”*120 + \\”\\\\n\\”)\\n f.write(\\”\u26a0\ufe0f WARNING: These patterns indicate potential Cloudflare memory leaks\\\\n\\”)\\n f.write(\\”\u2139\ufe0f Similar to the 2017 Cloudbleed incident where uninitialized memory\\\\n\\”)\\n f.write(\\” was dumped by Cloudflare reverse proxies\\\\n\\”)\\n f.write(\\”=\\”*120 + \\”\\\\n\\\\n\\”)\\n \\n memory_patterns = security.get(‘memory_patterns’, [])\\n f.write(f\\”\ud83d\udcca TOTAL MEMORY LEAK PATTERNS FOUND: {len(memory_patterns)}\\\\n\\\\n\\”)\\n \\n for idx, pattern_info in enumerate(memory_patterns, 1):\\n if isinstance(pattern_info, dict):\\n pattern = pattern_info.get(‘pattern’, ”)\\n length = pattern_info.get(‘length’, 0)\\n pattern_type = pattern_info.get(‘type’, ‘unknown’)\\n else:\\n pattern = pattern_info\\n length = len(pattern)\\n pattern_type = ‘unknown’\\n \\n f.write(f\\”\\\\n{‘=’*80}\\\\n\\”)\\n f.write(f\\”PATTERN {idx}\/{len(memory_patterns)}\\\\n\\”)\\n f.write(f\\”{‘=’*80}\\\\n\\”)\\n f.write(f\\”Type: {pattern_type}\\\\n\\”)\\n f.write(f\\”Length: {length} characters\\\\n\\”)\\n f.write(f\\”MD5 Hash: {hashlib.md5(pattern.encode()).hexdigest()}\\\\n\\”)\\n f.write(f\\”\\\\n{‘\u2500’*80}\\\\n\\”)\\n f.write(\\”COMPLETE PATTERN CONTENT (NO TRUNCATION):\\\\n\\”)\\n f.write(f\\”{‘\u2500’*80}\\\\n\\”)\\n \\n # Display COMPLETE pattern without truncation\\n if length \\u003e 500:\\n f.write(f\\”\\\\nFIRST 1000 CHARACTERS:\\\\n\\”)\\n f.write(pattern[:1000] + \\”\\\\n\\”)\\n f.write(f\\”\\\\n… [CONTINUED] …\\\\n\\\\n\\”)\\n f.write(f\\”MIDDLE 1000 CHARACTERS:\\\\n\\”)\\n mid_start = length \/\/ 2 – 500\\n f.write(pattern[mid_start:mid_start + 1000] + \\”\\\\n\\”)\\n f.write(f\\”\\\\n… [CONTINUED] …\\\\n\\\\n\\”)\\n f.write(f\\”LAST 1000 CHARACTERS:\\\\n\\”)\\n f.write(pattern[-1000:] + \\”\\\\n\\”)\\n f.write(f\\”\\\\nFULL LENGTH: {length} characters\\\\n\\”)\\n else:\\n f.write(pattern + \\”\\\\n\\”)\\n \\n # Hex representation for binary patterns\\n if any(ord(c) \\u003c 32 or ord(c) \\u003e 126 for c in pattern[:100]):\\n f.write(f\\”\\\\n{‘\u2500’*80}\\\\n\\”)\\n f.write(\\”HEX REPRESENTATION (first 500 chars):\\\\n\\”)\\n hex_repr = pattern[:500].encode(‘utf-8′, errors=’ignore’).hex()\\n f.write(CompleteReportSaver.format_hex_string(hex_repr) + \\”\\\\n\\”)\\n \\n f.write(f\\”{‘=’*80}\\\\n\\”)\\n \\n f.write(\\”\\\\n\ud83d\udcdd \ud83d\udcdd \ud83d\udcdd CLOUDBLEED RISK ASSESSMENT \ud83d\udcdd \ud83d\udcdd \ud83d\udcdd\\\\n\\”)\\n f.write(\\”=\\”*120 + \\”\\\\n\\”)\\n f.write(\\”\ud83d\udd0d PATTERN ANALYSIS:\\\\n\\”)\\n f.write(\\”\u2022 Long hex strings (\\u003e32 chars) may indicate memory dumps\\\\n\\”)\\n f.write(\\”\u2022 Null byte sequences (\\\\\\\\x00\\\\\\\\x00) may indicate uninitialized memory\\\\n\\”)\\n f.write(\\”\u2022 Non-printable characters may indicate binary data leaks\\\\n\\”)\\n f.write(\\”\u2022 UUID\/GUID patterns may indicate memory addressing\\\\n\\”)\\n f.write(\\”\u2022 Repetitive patterns may indicate memory structures\\\\n\\\\n\\”)\\n \\n f.write(\\”\ud83d\udea8 SECURITY IMPLICATIONS:\\\\n\\”)\\n f.write(\\”\u2022 Sensitive data (passwords, tokens, keys) may be exposed\\\\n\\”)\\n f.write(\\”\u2022 Session cookies and authentication tokens may be leaked\\\\n\\”)\\n f.write(\\”\u2022 Internal IP addresses and network information may be exposed\\\\n\\”)\\n f.write(\\”\u2022 Database credentials and API keys may be compromised\\\\n\\”)\\n f.write(\\”\u2022 Cloudflare sites with these patterns need IMMEDIATE investigation\\\\n\\\\n\\”)\\n \\n f.write(\\”\ud83d\udd27 RECOMMENDED ACTIONS:\\\\n\\”)\\n f.write(\\”1. Contact Cloudflare support immediately\\\\n\\”)\\n f.write(\\”2. Rotate ALL API keys and credentials\\\\n\\”)\\n f.write(\\”3. Invalidate ALL session tokens\\\\n\\”)\\n f.write(\\”4. Monitor for unauthorized access\\\\n\\”)\\n f.write(\\”5. Consider moving critical services off Cloudflare\\\\n\\”)\\n f.write(\\”\\\\n\\” + \\”=\\”*120 + \\”\\\\n\\\\n\\”)\\n \\n if security.get(‘recommendations’):\\n f.write(\\”\ud83d\udca1 \ud83d\udca1 \ud83d\udca1 SECURITY RECOMMENDATIONS \ud83d\udca1 \ud83d\udca1 \ud83d\udca1\\\\n\\”)\\n f.write(\\”-\\”*80 + \\”\\\\n\\”)\\n for idx, rec in enumerate(security.get(‘recommendations’, []), 1):\\n f.write(f\\”{idx:2d}. {rec}\\\\n\\”)\\n f.write(\\”\\\\n\\”)\\n \\n # ==================== COMPLETE SENSITIVE DATA ====================\\n sensitive_data = result.get(‘findings’, {}).get(‘sensitive_data’, {})\\n if sensitive_data:\\n f.write(\\”\ud83d\udea8 \ud83d\udea8 \ud83d\udea8 COMPLETE SENSITIVE DATA DETECTED \ud83d\udea8 \ud83d\udea8 \ud83d\udea8\\\\n\\”)\\n f.write(\\”=\\”*120 + \\”\\\\n\\”)\\n f.write(\\”\u26a0\ufe0f WARNING: The following sensitive data was found in the response\\\\n\\”)\\n f.write(\\” This indicates potential data leakage or misconfiguration\\\\n\\”)\\n f.write(\\”=\\”*120 + \\”\\\\n\\\\n\\”)\\n \\n total_items = sum(len(items) for items in sensitive_data.values())\\n f.write(f\\”\ud83d\udcca TOTAL SENSITIVE ITEMS FOUND: {total_items}\\\\n\\\\n\\”)\\n \\n for category, items in sensitive_data.items():\\n if items:\\n f.write(f\\”\\\\n{‘=’*80}\\\\n\\”)\\n f.write(f\\”\ud83d\udcc1 CATEGORY: {category.upper()} – {len(items)} ITEMS\\\\n\\”)\\n f.write(f\\”{‘=’*80}\\\\n\\\\n\\”)\\n \\n for idx, item in enumerate(items, 1):\\n f.write(f\\”\\\\n{‘\u2500’*40} ITEM {idx} {‘\u2500’*40}\\\\n\\”)\\n \\n if isinstance(item, dict):\\n value = item.get(‘value’, ‘N\/A’)\\n context = item.get(‘context’, ”)\\n confidence = item.get(‘confidence’, 0)\\n \\n f.write(f\\”CONFIDENCE LEVEL: {confidence:.0%}\\\\n\\”)\\n f.write(f\\”RISK: {‘HIGH’ if confidence \\u003e 0.7 else ‘MEDIUM’ if confidence \\u003e 0.4 else ‘LOW’}\\\\n\\”)\\n f.write(f\\”\\\\nVALUE (COMPLETE – NO TRUNCATION):\\\\n\\”)\\n f.write(f\\”{‘\u2500’*80}\\\\n\\”)\\n f.write(f\\”{value}\\\\n\\”)\\n f.write(f\\”{‘\u2500’*80}\\\\n\\”)\\n \\n # Special detailed handling for JWT tokens\\n if category == ‘tokens’ and value.startswith(‘eyJ’):\\n f.write(f\\”\\\\n\ud83d\udd10 JWT TOKEN ANALYSIS:\\\\n\\”)\\n decoded = CompleteReportSaver.decode_jwt(value)\\n \\n if decoded.get(‘error’):\\n f.write(f\\”JWT Decode Error: {decoded[‘error’]}\\\\n\\”)\\n else:\\n if decoded.get(‘header’):\\n f.write(f\\”\\\\nJWT HEADER:\\\\n\\”)\\n f.write(json.dumps(decoded[‘header’], indent=2, ensure_ascii=False) + \\”\\\\n\\”)\\n \\n if decoded.get(‘payload’):\\n f.write(f\\”\\\\nJWT PAYLOAD:\\\\n\\”)\\n f.write(json.dumps(decoded[‘payload’], indent=2, ensure_ascii=False) + \\”\\\\n\\”)\\n \\n # Extract claims for analysis\\n payload = decoded[‘payload’]\\n if isinstance(payload, dict):\\n if ‘exp’ in payload:\\n exp_time = datetime.fromtimestamp(payload[‘exp’])\\n f.write(f\\”\\\\n\u23f0 TOKEN EXPIRATION: {exp_time} (UTC)\\\\n\\”)\\n if ‘iss’ in payload:\\n f.write(f\\”\ud83d\udcdd ISSUER: {payload[‘iss’]}\\\\n\\”)\\n if ‘sub’ in payload:\\n f.write(f\\”\ud83d\udc64 SUBJECT: {payload[‘sub’]}\\\\n\\”)\\n \\n # Special detailed handling for API keys\\n elif category == ‘api_keys’:\\n f.write(f\\”\\\\n\ud83d\udd11 API KEY ANALYSIS:\\\\n\\”)\\n if value.startswith(‘AKIA’):\\n f.write(\\”TYPE: AWS Access Key ID\\\\n\\”)\\n f.write(\\”FORMAT: AKIA[16 uppercase alphanumeric characters]\\\\n\\”)\\n f.write(\\”\ud83d\udea8 CRITICAL RISK: This should NEVER be exposed in client-side code\\\\n\\”)\\n f.write(\\”IMPACT: Full AWS account compromise possible\\\\n\\”)\\n f.write(\\”ACTION REQUIRED: Rotate IMMEDIATELY via AWS IAM\\\\n\\”)\\n elif value.startswith(‘sk_’):\\n f.write(\\”TYPE: Stripe Secret Key\\\\n\\”)\\n if ‘live’ in value.lower():\\n f.write(\\”\ud83d\udea8 CRITICAL: This is a LIVE production Stripe key!\\\\n\\”)\\n f.write(\\”IMPACT: Complete payment processing compromise\\\\n\\”)\\n f.write(\\”ACTION REQUIRED: Rotate IMMEDIATELY in Stripe Dashboard\\\\n\\”)\\n else:\\n f.write(\\”\u26a0\ufe0f WARNING: Test Stripe key exposed\\\\n\\”)\\n elif len(value) \\u003e= 32 and re.match(r’^[a-fA-F0-9]+$’, value):\\n f.write(\\”TYPE: Hexadecimal API Key\\\\n\\”)\\n f.write(f\\”LENGTH: {len(value)} characters\\\\n\\”)\\n f.write(\\”FORMAT: Hexadecimal string\\\\n\\”)\\n \\n # Special handling for credentials\\n elif category == ‘credentials’:\\n f.write(f\\”\\\\n\ud83d\udd10 CREDENTIAL ANALYSIS:\\\\n\\”)\\n f.write(f\\”LENGTH: {len(value)} characters\\\\n\\”)\\n if len(value) \\u003c 8:\\n f.write(\\”\u26a0\ufe0f WARNING: Password is too short\\\\n\\”)\\n if re.search(r’\\\\d’, value):\\n f.write(\\”\u2713 Contains numbers\\\\n\\”)\\n if re.search(r'[A-Z]’, value):\\n f.write(\\”\u2713 Contains uppercase letters\\\\n\\”)\\n if re.search(r'[a-z]’, value):\\n f.write(\\”\u2713 Contains lowercase letters\\\\n\\”)\\n if re.search(r'[^A-Za-z0-9]’, value):\\n f.write(\\”\u2713 Contains special characters\\\\n\\”)\\n \\n # Add context if available\\n if context and context.strip():\\n f.write(f\\”\\\\n\ud83d\udcc4 CONTEXT (surrounding code\/text):\\\\n\\”)\\n f.write(f\\”{‘\u2500’*80}\\\\n\\”)\\n f.write(f\\”{context}\\\\n\\”)\\n f.write(f\\”{‘\u2500’*80}\\\\n\\”)\\n \\n else:\\n # Non-dict item – display complete\\n f.write(f\\”VALUE (COMPLETE):\\\\n\\”)\\n f.write(f\\”{‘\u2500’*80}\\\\n\\”)\\n f.write(f\\”{str(item)}\\\\n\\”)\\n f.write(f\\”{‘\u2500’*80}\\\\n\\”)\\n \\n f.write(f\\”\\\\n{‘\u2500’*80}\\\\n\\”)\\n \\n f.write(f\\”\\\\n{‘=’*80}\\\\n\\\\n\\”)\\n \\n # ==================== CLOUDFLARE DETECTION ====================\\n cloudflare = result.get(‘findings’, {}).get(‘cloudflare’, {})\\n if cloudflare:\\n f.write(\\”\ud83d\udee1\ufe0f \ud83d\udee1\ufe0f \ud83d\udee1\ufe0f CLOUDFLARE DETECTION ANALYSIS \ud83d\udee1\ufe0f \ud83d\udee1\ufe0f \ud83d\udee1\ufe0f\\\\n\\”)\\n f.write(\\”=\\”*120 + \\”\\\\n\\”)\\n f.write(f\\”\ud83d\udd0d CLOUDFLARE DETECTED: {‘YES’ if cloudflare.get(‘detected’) else ‘NO’}\\\\n\\”)\\n f.write(f\\”\ud83d\udcca CONFIDENCE LEVEL: {cloudflare.get(‘confidence’, 0):.0%}\\\\n\\\\n\\”)\\n \\n if cloudflare.get(‘detected’):\\n f.write(\\”\u26a0\ufe0f CLOUDFLARE DETECTION IMPLICATIONS:\\\\n\\”)\\n f.write(\\”\u2022 Site is behind Cloudflare’s reverse proxy network\\\\n\\”)\\n f.write(\\”\u2022 Potential for Cloudbleed-style memory leaks exists\\\\n\\”)\\n f.write(\\”\u2022 Cloudflare-specific cookies and headers present\\\\n\\”)\\n f.write(\\”\u2022 WAF protection (if enabled) may be in place\\\\n\\\\n\\”)\\n \\n if cloudflare.get(‘indicators’):\\n f.write(\\”\ud83d\udccb CLOUDFLARE INDICATORS FOUND:\\\\n\\”)\\n f.write(\\”-\\”*80 + \\”\\\\n\\”)\\n for idx, indicator in enumerate(cloudflare.get(‘indicators’, []), 1):\\n f.write(f\\”{idx:2d}. {indicator}\\\\n\\”)\\n f.write(\\”\\\\n\\”)\\n \\n # Cloudflare-specific risk assessment\\n f.write(\\”\ud83d\udea8 CLOUDFLARE-SPECIFIC RISK ASSESSMENT:\\\\n\\”)\\n f.write(\\”-\\”*80 + \\”\\\\n\\”)\\n if sensitive_data:\\n f.write(\\”\u274c HIGH RISK: Sensitive data found on Cloudflare-protected site\\\\n\\”)\\n f.write(\\” This is a potential Cloudbleed scenario\\\\n\\”)\\n elif security.get(‘memory_patterns’):\\n f.write(\\”\u26a0\ufe0f MEDIUM RISK: Memory leak patterns detected\\\\n\\”)\\n f.write(\\” Could indicate uninitialized memory exposure\\\\n\\”)\\n else:\\n f.write(\\”\u2705 LOW RISK: No immediate Cloudbleed indicators\\\\n\\”)\\n f.write(\\”\\\\n\\”)\\n \\n # ==================== INTELLIGENCE DATA ====================\\n intelligence = result.get(‘intelligence’, {})\\n if intelligence:\\n f.write(\\”\ud83e\udde0 \ud83e\udde0 \ud83e\udde0 THREAT INTELLIGENCE ANALYSIS \ud83e\udde0 \ud83e\udde0 \ud83e\udde0\\\\n\\”)\\n f.write(\\”=\\”*120 + \\”\\\\n\\”)\\n f.write(f\\”\ud83d\udcca IOC SCORE: {intelligence.get(‘ioc_score’, 0):.2f}\/1.0\\\\n\\”)\\n f.write(f\\”\ud83c\udfaf THREAT LEVEL: {intelligence.get(‘threat_level’, ‘low’).upper()}\\\\n\\\\n\\”)\\n \\n ioc_classification = intelligence.get(‘ioc_classification’, {})\\n if any(ioc_classification.values()):\\n f.write(\\”\ud83d\udd0d IOC CLASSIFICATION:\\\\n\\”)\\n f.write(\\”-\\”*80 + \\”\\\\n\\”)\\n \\n for level, items in ioc_classification.items():\\n if items:\\n f.write(f\\”\\\\n{level.upper()} IOCS ({len(items)}):\\\\n\\”)\\n for idx, item in enumerate(items[:10], 1):\\n f.write(f\\” {idx:2d}. {item}\\\\n\\”)\\n \\n f.write(\\”\\\\n\\”)\\n \\n mitre_tactics = intelligence.get(‘mitre_tactics’, [])\\n if mitre_tactics:\\n f.write(\\”\ud83c\udfaf MITRE ATT\\u0026CK TACTIC MAPPING:\\\\n\\”)\\n f.write(\\”-\\”*80 + \\”\\\\n\\”)\\n for tactic in mitre_tactics:\\n f.write(f\\”\\\\n\u2022 {tactic.get(‘id’, ‘N\/A’)} – {tactic.get(‘name’, ‘N\/A’)}\\\\n\\”)\\n f.write(f\\” Confidence: {tactic.get(‘confidence’, 0):.0%}\\\\n\\”)\\n f.write(f\\” Techniques: {‘, ‘.join(tactic.get(‘techniques’, []))}\\\\n\\”)\\n f.write(\\”\\\\n\\”)\\n \\n # ==================== RAW RESPONSE DATA ====================\\n f.write(\\”\ud83d\udcc4 \ud83d\udcc4 \ud83d\udcc4 RAW RESPONSE METADATA \ud83d\udcc4 \ud83d\udcc4 \ud83d\udcc4\\\\n\\”)\\n f.write(\\”=\\”*120 + \\”\\\\n\\”)\\n f.write(f\\”Response Size: {result.get(‘content_length’, 0):,} bytes\\\\n\\”)\\n f.write(f\\”Response Type: {result.get(‘content_type’, ‘Unknown’)}\\\\n\\”)\\n \\n if ‘content_hash’ in result:\\n f.write(f\\”Content MD5: {result[‘content_hash’]}\\\\n\\”)\\n \\n f.write(f\\”\\\\nScan Completed: {datetime.now().isoformat()}\\\\n\\”)\\n \\n # ==================== REPORT FOOTER ====================\\n f.write(\\”\\\\n\\” + \\”=\\”*120 + \\”\\\\n\\”)\\n f.write(\\”\ud83d\udccb REPORT SUMMARY\\\\n\\”)\\n f.write(\\”=\\”*120 + \\”\\\\n\\”)\\n \\n summary_points = []\\n \\n if security.get(‘risk_level’) == ‘high’:\\n summary_points.append(\\”\ud83d\udea8 HIGH RISK – Immediate action required\\”)\\n elif security.get(‘risk_level’) == ‘medium’:\\n summary_points.append(\\”\u26a0\ufe0f MEDIUM RISK – Investigation recommended\\”)\\n else:\\n summary_points.append(\\”\u2705 LOW RISK – Regular monitoring suggested\\”)\\n \\n if sensitive_data:\\n total_sensitive = sum(len(items) for items in sensitive_data.values())\\n summary_points.append(f\\”\ud83d\udd13 {total_sensitive} sensitive data items found\\”)\\n \\n if security.get(‘memory_patterns’):\\n summary_points.append(f\\”\ud83d\udcbe {len(security[‘memory_patterns’])} memory leak patterns detected\\”)\\n \\n if cloudflare.get(‘detected’):\\n summary_points.append(\\”\ud83d\udee1\ufe0f Cloudflare protection detected\\”)\\n \\n for idx, point in enumerate(summary_points, 1):\\n f.write(f\\”{idx}. {point}\\\\n\\”)\\n \\n f.write(\\”\\\\n\\” + \\”=\\”*120 + \\”\\\\n\\”)\\n f.write(\\”\ud83c\udfc1 END OF COMPLETE CLOUDBLEED SCAN REPORT\\\\n\\”)\\n f.write(f\\”\ud83d\udcc5 Generated: {datetime.now().strftime(‘%Y-%m-%d %H:%M:%S %Z’)}\\\\n\\”)\\n f.write(\\”=\\”*120 + \\”\\\\n\\”)\\n \\n print(f\\”\\\\n\ud83d\udcbe COMPLETE report saved to: {filename}\\”)\\n print(f\\”\ud83d\udcc4 File size: {os.path.getsize(filename):,} bytes\\”)\\n \\n return filename\\n \\n class IntelligenceCache:\\n \\”\\”\\”Simple caching system to avoid duplicate requests\\”\\”\\”\\n \\n def __init__(self, cache_dir: str = \\”.cache\\”):\\n self.cache_dir = Path(cache_dir)\\n self.cache_dir.mkdir(exist_ok=True)\\n \\n self.db_path = self.cache_dir \/ \\”intel_cache.db\\”\\n self.init_db()\\n \\n def init_db(self):\\n \\”\\”\\”Initialize SQLite database\\”\\”\\”\\n conn = sqlite3.connect(str(self.db_path))\\n cursor = conn.cursor()\\n \\n cursor.execute(”’\\n CREATE TABLE IF NOT EXISTS scan_cache (\\n url_hash TEXT PRIMARY KEY,\\n url TEXT NOT NULL,\\n data TEXT NOT NULL,\\n timestamp DATETIME DEFAULT CURRENT_TIMESTAMP\\n )\\n ”’)\\n \\n conn.commit()\\n conn.close()\\n \\n def get_cached_scan(self, url: str) -\\u003e Optional[Dict]:\\n \\”\\”\\”Get cached scan results\\”\\”\\”\\n url_hash = hashlib.md5(url.encode()).hexdigest()\\n \\n conn = sqlite3.connect(str(self.db_path))\\n cursor = conn.cursor()\\n \\n cursor.execute(\\n \\”SELECT data FROM scan_cache WHERE url_hash = ? AND timestamp \\u003e datetime(‘now’, ‘-1 day’)\\”,\\n (url_hash,)\\n )\\n \\n result = cursor.fetchone()\\n conn.close()\\n \\n if result:\\n return json.loads(result[0])\\n return None\\n \\n def cache_scan(self, url: str, data: Dict):\\n \\”\\”\\”Cache scan results\\”\\”\\”\\n url_hash = hashlib.md5(url.encode()).hexdigest()\\n \\n conn = sqlite3.connect(str(self.db_path))\\n cursor = conn.cursor()\\n \\n cursor.execute(\\n \\”REPLACE INTO scan_cache (url_hash, url, data) VALUES (?, ?, ?)\\”,\\n (url_hash, url, json.dumps(data, default=str))\\n )\\n \\n conn.commit()\\n conn.close()\\n \\n class AntiNoiseFilter:\\n \\”\\”\\”Advanced anti-noise and false positive filter\\”\\”\\”\\n \\n def __init__(self):\\n self.js_false_positives = {\\n ‘password’: [\\n r’password.*placeholder’,\\n r’password.*example’,\\n r’password.*test’,\\n r’password.*demo’,\\n r’type=.*password’,\\n r’input.*password’,\\n r’confirm.*password’,\\n r’new.*password’,\\n r’old.*password’,\\n r’change.*password’\\n ],\\n ‘api_key’: [\\n r’api.*key.*example’,\\n r’api.*key.*test’,\\n r’api.*key.*demo’,\\n r’your.*api.*key’,\\n r’insert.*api.*key’,\\n r’paste.*api.*key’,\\n r’sample.*api.*key’\\n ],\\n ‘token’: [\\n r’token.*example’,\\n r’token.*test’,\\n r’token.*demo’,\\n r’your.*token’,\\n r’sample.*token’,\\n r’paste.*token’\\n ]\\n }\\n \\n self.context_patterns = {\\n ‘high_confidence’: [\\n r'[\\\\\\”\\\\’]\\\\s*:\\\\s*[\\\\\\”\\\\’]’,\\n r’=\\\\s*[\\\\\\”\\\\’]’,\\n r’const\\\\s+\\\\w+\\\\s*=\\\\s*[\\\\\\”\\\\’]’,\\n r’let\\\\s+\\\\w+\\\\s*=\\\\s*[\\\\\\”\\\\’]’,\\n r’var\\\\s+\\\\w+\\\\s*=\\\\s*[\\\\\\”\\\\’]’,\\n r’process\\\\.env\\\\.’,\\n r’config\\\\[[\\\\\\”\\\\’]’,\\n r’\\\\.get\\\\([\\\\\\”\\\\’]’,\\n ],\\n ‘low_confidence’: [\\n r’placeholder=’,\\n r’example’,\\n r’sample’,\\n r’test’,\\n r’demo’,\\n r’changeme’,\\n r’your_.*here’\\n ]\\n }\\n \\n def filter_sensitive_data(self, category: str, value: str, context: str = \\”\\”) -\\u003e bool:\\n \\”\\”\\”Filter out false positives\\”\\”\\”\\n value_lower = value.lower()\\n context_lower = context.lower()\\n \\n if any(fp in value_lower for fp in [‘example’, ‘test’, ‘demo’, ‘placeholder’, ‘changeme’]):\\n return False\\n \\n if category in self.js_false_positives:\\n for pattern in self.js_false_positives[category]:\\n if re.search(pattern, context_lower, re.IGNORECASE):\\n return False\\n \\n high_confidence = any(\\n re.search(pattern, context_lower) \\n for pattern in self.context_patterns[‘high_confidence’]\\n )\\n \\n low_confidence = any(\\n re.search(pattern, context_lower) \\n for pattern in self.context_patterns[‘low_confidence’]\\n )\\n \\n if category == ‘api_keys’:\\n if not re.match(r’^[A-Za-z0-9_\\\\-]{20,50}$’, value):\\n return False\\n if len(value) \\u003c 20 or len(value) \\u003e 100:\\n return False\\n \\n elif category == ‘tokens’:\\n if value.startswith(‘eyJ’):\\n return True\\n if len(value) \\u003c 32:\\n return False\\n \\n elif category == ‘passwords’:\\n if len(value) \\u003c 8:\\n return False\\n if any(x in context_lower for x in [‘var ‘, ‘const ‘, ‘let ‘, ‘function’]):\\n return False\\n \\n if low_confidence and not high_confidence:\\n return False\\n \\n return True\\n \\n class CompleteRegexPatterns:\\n \\”\\”\\”Enhanced regex patterns for COMPLETE data capture\\”\\”\\”\\n \\n def __init__(self):\\n self.patterns = {\\n ‘api_keys’: [\\n r'(?i)(?:aws)?_?(?:access)?_?key[\\”\\\\’]?\\\\s*[:=]\\\\s*[\\”\\\\’]?(AKIA[0-9A-Z]{16,})[\\”\\\\’]?’,\\n r'(?i)(?:aws)?_?(?:secret)?_?key[\\”\\\\’]?\\\\s*[:=]\\\\s*[\\”\\\\’]?([A-Za-z0-9\/+]{40,})[\\”\\\\’]?’,\\n r'(?i)(?:stripe)?_?(?:api)?_?key[\\”\\\\’]?\\\\s*[:=]\\\\s*[\\”\\\\’]?(sk_(?:live|test)_[0-9a-zA-Z]{24,})[\\”\\\\’]?’,\\n r'(?i)(?:github)?_?(?:token)?[\\”\\\\’]?\\\\s*[:=]\\\\s*[\\”\\\\’]?(gh[ps]_[a-zA-Z0-9]{36,})[\\”\\\\’]?’,\\n r'(?i)[\\”\\\\’]?(?:api[_-]?key|apikey)[\\”\\\\’]?\\\\s*[:=]\\\\s*[\\”\\\\’]?([a-fA-F0-9]{32,128})[\\”\\\\’]?’,\\n r'(?i)[\\”\\\\’]?(?:secret[_-]?key)[\\”\\\\’]?\\\\s*[:=]\\\\s*[\\”\\\\’]?([a-fA-F0-9]{32,128})[\\”\\\\’]?’,\\n r'(?i)[\\”\\\\’]?(?:private[_-]?key)[\\”\\\\’]?\\\\s*[:=]\\\\s*[\\”\\\\’]?(\\\\-{5}BEGIN[\\\\s\\\\S]{100,}END[\\\\s\\\\S]+\\\\-{5})[\\”\\\\’]?’,\\n ],\\n \\n ‘tokens’: [\\n r'(?i)[\\”\\\\’]?(?:bearer[_-]?token|jwt[_-]?token)[\\”\\\\’]?\\\\s*[:=]\\\\s*[\\”\\\\’]?(eyJ[a-zA-Z0-9_-]{10,}\\\\.[a-zA-Z0-9_-]{10,}\\\\.[a-zA-Z0-9_-]{10,})[\\”\\\\’]?’,\\n r'(?i)[\\”\\\\’]?authorization[\\”\\\\’]?\\\\s*[:=]\\\\s*[\\”\\\\’]?Bearer\\\\s+([a-zA-Z0-9_-]{20,}\\\\.[a-zA-Z0-9_-]{20,}\\\\.[a-zA-Z0-9_-]{20,})[\\”\\\\’]?’,\\n r'(?i)[\\”\\\\’]?(?:access[_-]?token)[\\”\\\\’]?\\\\s*[:=]\\\\s*[\\”\\\\’]?([a-fA-F0-9]{32,512})[\\”\\\\’]?’,\\n r'(?i)[\\”\\\\’]?(?:session[_-]?(?:id|token))[\\”\\\\’]?\\\\s*[:=]\\\\s*[\\”\\\\’]?([a-fA-F0-9]{32,256})[\\”\\\\’]?’,\\n r'(?i)[\\”\\\\’]?(?:csrf[_-]?token)[\\”\\\\’]?\\\\s*[:=]\\\\s*[\\”\\\\’]?([a-fA-F0-9]{32,128})[\\”\\\\’]?’,\\n r'(?i)[\\”\\\\’]?(?:refresh[_-]?token)[\\”\\\\’]?\\\\s*[:=]\\\\s*[\\”\\\\’]?([a-fA-F0-9]{32,256})[\\”\\\\’]?’,\\n ],\\n \\n ‘credentials’: [\\n r'(?i)[\\”\\\\’]?(?:db[_-]?(?:pass|password))[\\”\\\\’]?\\\\s*[:=]\\\\s*[\\”\\\\’]?([^\\”\\\\’\\\\s]{6,100})[\\”\\\\’]?’,\\n r'(?i)[\\”\\\\’]?(?:database[_-]?(?:pass|password))[\\”\\\\’]?\\\\s*[:=]\\\\s*[\\”\\\\’]?([^\\”\\\\’\\\\s]{6,100})[\\”\\\\’]?’,\\n r'(?i)[\\”\\\\’]?(?:admin[_-]?(?:pass|password))[\\”\\\\’]?\\\\s*[:=]\\\\s*[\\”\\\\’]?([^\\”\\\\’\\\\s]{6,100})[\\”\\\\’]?’,\\n r'(?i)[\\”\\\\’]?(?:root[_-]?(?:pass|password))[\\”\\\\’]?\\\\s*[:=]\\\\s*[\\”\\\\’]?([^\\”\\\\’\\\\s]{6,100})[\\”\\\\’]?’,\\n r'(?i)[\\”\\\\’]?(?:mysql[_-]?(?:pass|password))[\\”\\\\’]?\\\\s*[:=]\\\\s*[\\”\\\\’]?([^\\”\\\\’\\\\s]{6,100})[\\”\\\\’]?’,\\n r'(?i)[\\”\\\\’]?(?:postgres[_-]?(?:pass|password))[\\”\\\\’]?\\\\s*[:=]\\\\s*[\\”\\\\’]?([^\\”\\\\’\\\\s]{6,100})[\\”\\\\’]?’,\\n r'(?i)[\\”\\\\’]?(?:mongodb[_-]?(?:pass|password))[\\”\\\\’]?\\\\s*[:=]\\\\s*[\\”\\\\’]?([^\\”\\\\’\\\\s]{6,100})[\\”\\\\’]?’,\\n ],\\n \\n ‘cloudflare_indicators’: [\\n r'(?i)[\\”\\\\’]?__cfduid[\\”\\\\’]?\\\\s*[:=]\\\\s*[\\”\\\\’]?([a-fA-F0-9]{43})[\\”\\\\’]?’,\\n r'(?i)[\\”\\\\’]?cf_clearance[\\”\\\\’]?\\\\s*[:=]\\\\s*[\\”\\\\’]?([a-fA-F0-9_-]{40,})[\\”\\\\’]?’,\\n r’CF-Ray\\\\s*:\\\\s*([a-fA-F0-9]{16}-[A-Z]{3})’,\\n r'(?i)cf-cache-status’,\\n r'(?i)cf-polished’,\\n r'(?i)cf-bgj’,\\n ],\\n \\n ‘memory_leak_patterns’: [\\n r'[0-9a-fA-F]{32,}’, # Long hex strings\\n r'(?s)\\\\x00{4,}’, # Null byte sequences\\n r'[^\\\\x20-\\\\x7E]{20,}’, # Non-printable sequences\\n r'[A-F0-9]{8}-[A-F0-9]{4}-[A-F0-9]{4}-[A-F0-9]{4}-[A-F0-9]{12}’, # UUIDs\\n r'(?:[0-9a-fA-F]{2}[:\\\\-\\\\s]?){16,}’, # MAC addresses or similar\\n r’0x[0-9a-fA-F]{8,16}’, # Memory addresses\\n r'[0-9a-fA-F]{16,}’, # General hex dumps\\n ],\\n \\n ‘ioc_patterns’: [\\n r’\\\\b(?:10\\\\.\\\\d{1,3}\\\\.\\\\d{1,3}\\\\.\\\\d{1,3}|172\\\\.(?:1[6-9]|2[0-9]|3[0-1])\\\\.\\\\d{1,3}\\\\.\\\\d{1,3}|192\\\\.168\\\\.\\\\d{1,3}\\\\.\\\\d{1,3})\\\\b’,\\n r'(?i)(?:union\\\\s+select|sleep\\\\(\\\\d+\\\\)|benchmark\\\\(|exec\\\\(|system\\\\(|drop\\\\s+table|insert\\\\s+into)’,\\n ],\\n \\n ’emails’: [\\n r’\\\\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\\\\.[A-Z|a-z]{2,}\\\\b’,\\n ],\\n \\n ‘phone_numbers’: [\\n r’\\\\b(?:\\\\+?\\\\d{1,3}[-.\\\\s]?)?\\\\(?\\\\d{3}\\\\)?[-.\\\\s]?\\\\d{3}[-.\\\\s]?\\\\d{4}\\\\b’,\\n ]\\n }\\n \\n self.compiled_patterns = {}\\n for category, pattern_list in self.patterns.items():\\n self.compiled_patterns[category] = [\\n re.compile(pattern, re.IGNORECASE) for pattern in pattern_list\\n ]\\n \\n class CompleteFingerprintAnalyzer:\\n \\”\\”\\”Complete fingerprinting analyzer\\”\\”\\”\\n \\n def __init__(self):\\n self.cdn_waf_fingerprints = {\\n ‘cloudflare’: {\\n ‘patterns’: [‘cloudflare’, ‘__cfduid’, ‘cf-ray’, ‘cf-cache-status’, ‘cf-polished’, ‘cf-bgj’],\\n ‘cdn’: ‘Cloudflare’,\\n ‘waf’: ‘Cloudflare WAF’,\\n ‘risk_score’: 0.3,\\n ‘cloudbleed_risk’: 0.8\\n },\\n ‘akamai’: {\\n ‘patterns’: [‘akamai’, ‘x-akamai’, ‘akamaighost’, ‘x-akamai-transformed’],\\n ‘cdn’: ‘Akamai’,\\n ‘waf’: ‘Akamai Kona’,\\n ‘risk_score’: 0.2,\\n ‘cloudbleed_risk’: 0.1\\n },\\n ‘sucuri’: {\\n ‘patterns’: [‘sucuri’, ‘x-sucuri-id’, ‘x-sucuri-cache’, ‘sucuri\/cloudproxy’],\\n ‘cdn’: ‘Sucuri’,\\n ‘waf’: ‘Sucuri WAF’,\\n ‘risk_score’: 0.4,\\n ‘cloudbleed_risk’: 0.3\\n },\\n ‘fastly’: {\\n ‘patterns’: [‘fastly’, ‘x-fastly’, ‘surrogate-key’],\\n ‘cdn’: ‘Fastly’,\\n ‘waf’: ‘Fastly WAF’,\\n ‘risk_score’: 0.2,\\n ‘cloudbleed_risk’: 0.2\\n }\\n }\\n \\n self.language_fingerprints = {\\n ‘php’: {\\n ‘headers’: [‘x-powered-by: php’, ‘server: php’, ‘x-php-version’],\\n ‘patterns’: [r’\\\\.php\\\\b’, r’\\\\?php’, r’php_\\\\w+’, r’PHP Version’],\\n },\\n ‘asp.net’: {\\n ‘headers’: [‘x-powered-by: asp.net’, ‘x-aspnet-version’, ‘server: microsoft-iis’, ‘x-aspnetmvc-version’],\\n ‘patterns’: [r’\\\\.aspx\\\\b’, r’\\\\.ashx\\\\b’, r’__doPostBack’, r’ViewState’],\\n },\\n ‘node.js’: {\\n ‘headers’: [‘x-powered-by: express’, ‘server: node’, ‘x-node-version’],\\n ‘patterns’: [r’node\\\\.js’, r’require\\\\(‘, r’module\\\\.exports’, r’process\\\\.env’],\\n },\\n ‘python’: {\\n ‘headers’: [‘x-powered-by: python’, ‘server: gunicorn’, ‘server: uwsgi’, ‘x-python-version’],\\n ‘patterns’: [r’def\\\\s+\\\\w+\\\\(‘, r’import\\\\s+\\\\w+’, r’from\\\\s+\\\\w+’, r’__pycache__’],\\n },\\n ‘java’: {\\n ‘headers’: [‘x-powered-by: jsp’, ‘server: tomcat’, ‘server: jetty’, ‘x-java-version’],\\n ‘patterns’: [r’\\\\.jsp\\\\b’, r’\\\\.do\\\\b’, r’javax\\\\.servlet’, r’java\\\\.’],\\n },\\n }\\n \\n self.framework_fingerprints = {\\n ‘laravel’: {\\n ‘patterns’: [‘laravel’, ‘csrf-token’, ‘mix-manifest.json’, ‘App\\\\\\\\Http’],\\n ‘headers’: [‘x-powered-by: laravel’],\\n },\\n ‘django’: {\\n ‘patterns’: [‘django’, ‘csrfmiddlewaretoken’, ‘settings.py’, ‘wsgi.py’],\\n ‘headers’: [‘x-powered-by: django’],\\n },\\n ‘wordpress’: {\\n ‘patterns’: [‘wordpress’, ‘wp-content’, ‘wp-includes’, ‘wp-json’, ‘wp-admin’],\\n ‘headers’: [‘x-powered-by: wordpress’],\\n },\\n ‘react’: {\\n ‘patterns’: [‘react’, ‘react-dom’, ‘__NEXT_DATA__’, ‘webpack’],\\n ‘headers’: [],\\n },\\n ‘vue.js’: {\\n ‘patterns’: [‘vue’, ‘vue-router’, ‘vuex’, ‘nuxt’],\\n ‘headers’: [],\\n },\\n }\\n \\n def analyze(self, headers: Dict, content: str, url: str) -\\u003e Dict:\\n \\”\\”\\”Comprehensive fingerprint analysis with complete data\\”\\”\\”\\n fingerprint = {\\n ‘cdn’: None,\\n ‘waf’: None,\\n ‘language’: None,\\n ‘framework’: None,\\n ‘server_software’: None,\\n ‘technologies’: [],\\n ‘risk_score’: 0.0,\\n ‘cloudbleed_risk’: 0.0,\\n ‘header_details’: {},\\n ‘content_indicators’: []\\n }\\n \\n headers_lower = {k.lower(): v.lower() for k, v in headers.items()}\\n content_lower = content.lower()\\n \\n # CDN\/WAF Detection\\n for service, data in self.cdn_waf_fingerprints.items():\\n for pattern in data[‘patterns’]:\\n pattern_lower = pattern.lower()\\n \\n # Check headers\\n for header_name, header_value in headers_lower.items():\\n if pattern_lower in header_name or pattern_lower in header_value:\\n fingerprint[‘cdn’] = data[‘cdn’]\\n fingerprint[‘waf’] = data[‘waf’]\\n fingerprint[‘risk_score’] += data[‘risk_score’]\\n fingerprint[‘cloudbleed_risk’] += data[‘cloudbleed_risk’]\\n fingerprint[‘header_details’][f’cdn_waf_{service}’] = {\\n ‘header’: header_name,\\n ‘value’: header_value,\\n ‘pattern’: pattern\\n }\\n break\\n \\n # Check content\\n if pattern_lower in content_lower:\\n fingerprint[‘cdn’] = data[‘cdn’]\\n fingerprint[‘waf’] = data[‘waf’]\\n fingerprint[‘risk_score’] += data[‘risk_score’]\\n fingerprint[‘cloudbleed_risk’] += data[‘cloudbleed_risk’]\\n fingerprint[‘content_indicators’].append(f\\”Content contains ‘{pattern}’\\”)\\n \\n # Server Software\\n for header_name, header_value in headers.items():\\n if ‘server’ in header_name.lower():\\n fingerprint[‘server_software’] = header_value\\n fingerprint[‘header_details’][‘server’] = {\\n ‘header’: header_name,\\n ‘value’: header_value\\n }\\n \\n # Detailed server analysis\\n server_lower = header_value.lower()\\n if ‘nginx’ in server_lower:\\n fingerprint[‘technologies’].append(‘nginx’)\\n version_match = re.search(r’nginx\/(\\\\d+\\\\.\\\\d+(?:\\\\.\\\\d+)?)’, server_lower)\\n if version_match:\\n fingerprint[‘header_details’][‘server’][‘version’] = version_match.group(1)\\n elif ‘apache’ in server_lower:\\n fingerprint[‘technologies’].append(‘apache’)\\n version_match = re.search(r’apache\/(\\\\d+\\\\.\\\\d+(?:\\\\.\\\\d+)?)’, server_lower)\\n if version_match:\\n fingerprint[‘header_details’][‘server’][‘version’] = version_match.group(1)\\n elif ‘iis’ in server_lower or ‘microsoft’ in server_lower:\\n fingerprint[‘technologies’].append(‘iis’)\\n elif ‘cloudflare’ in server_lower:\\n fingerprint[‘technologies’].append(‘cloudflare’)\\n elif ‘gunicorn’ in server_lower:\\n fingerprint[‘technologies’].append(‘gunicorn’)\\n elif ‘tomcat’ in server_lower:\\n fingerprint[‘technologies’].append(‘tomcat’)\\n \\n # Programming Language Detection\\n for lang, data in self.language_fingerprints.items():\\n detected = False\\n \\n # Check headers\\n for header_pattern in data[‘headers’]:\\n header_key, header_value = header_pattern.split(‘: ‘, 1) if ‘: ‘ in header_pattern else (header_pattern, ”)\\n \\n for header_name, actual_value in headers_lower.items():\\n if header_key.lower() in header_name and header_value in actual_value:\\n fingerprint[‘language’] = lang\\n fingerprint[‘technologies’].append(lang)\\n detected = True\\n fingerprint[‘header_details’][f’language_{lang}’] = {\\n ‘header’: header_name,\\n ‘value’: actual_value\\n }\\n break\\n if detected:\\n break\\n \\n # Check content patterns\\n if not detected:\\n for pattern in data[‘patterns’]:\\n if re.search(pattern, content_lower, re.IGNORECASE):\\n fingerprint[‘language’] = lang\\n fingerprint[‘technologies’].append(lang)\\n fingerprint[‘content_indicators’].append(f\\”Language pattern: {pattern}\\”)\\n break\\n \\n # Framework Detection\\n for framework, data in self.framework_fingerprints.items():\\n detected = False\\n \\n # Check headers\\n for header_pattern in data[‘headers’]:\\n if ‘: ‘ in header_pattern:\\n header_key, header_value = header_pattern.split(‘: ‘, 1)\\n for header_name, actual_value in headers_lower.items():\\n if header_key.lower() in header_name and header_value in actual_value:\\n fingerprint[‘framework’] = framework\\n fingerprint[‘technologies’].append(framework)\\n detected = True\\n break\\n if detected:\\n break\\n \\n # Check content patterns\\n if not detected:\\n for pattern in data[‘patterns’]:\\n if pattern.lower() in content_lower:\\n fingerprint[‘framework’] = framework\\n fingerprint[‘technologies’].append(framework)\\n fingerprint[‘content_indicators’].append(f\\”Framework pattern: {pattern}\\”)\\n break\\n \\n # Remove duplicates and sort\\n fingerprint[‘technologies’] = sorted(list(set(fingerprint[‘technologies’])))\\n \\n # Calculate risk scores\\n fingerprint[‘cloudbleed_risk’] = min(fingerprint[‘cloudbleed_risk’], 1.0)\\n fingerprint[‘risk_score’] = min(fingerprint[‘risk_score’], 1.0)\\n \\n return fingerprint\\n \\n class CompleteIntelligenceScorer:\\n \\”\\”\\”Complete intelligence scoring with MITRE ATT\\u0026CK mapping\\”\\”\\”\\n \\n def __init__(self):\\n self.mitre_tactics = [\\n MITRETactic(\\n id=\\”TA0043\\”,\\n name=\\”Reconnaissance\\”,\\n techniques=[\\”T1595\\”, \\”T1592\\”, \\”T1589\\”],\\n confidence=0.7\\n ),\\n MITRETactic(\\n id=\\”TA0009\\”,\\n name=\\”Collection\\”,\\n techniques=[\\”T1213\\”, \\”T1005\\”, \\”T1114\\”],\\n confidence=0.8\\n ),\\n MITRETactic(\\n id=\\”TA0010\\”,\\n name=\\”Exfiltration\\”,\\n techniques=[\\”T1041\\”, \\”T1020\\”, \\”T1030\\”],\\n confidence=0.6\\n ),\\n ]\\n \\n self.ioc_weights = {\\n ‘critical’: {\\n ‘api_keys’: 0.95,\\n ‘database_credentials’: 0.85,\\n ‘memory_leak’: 0.98,\\n ‘cloudflare_leak’: 0.92,\\n ‘jwt_tokens’: 0.88,\\n ‘private_keys’: 0.96\\n },\\n ‘suspicious’: {\\n ‘internal_ips’: 0.65,\\n ‘suspicious_patterns’: 0.55,\\n ‘missing_security_headers’: 0.45,\\n ‘exposed_technologies’: 0.35,\\n ’emails’: 0.25,\\n ‘phone_numbers’: 0.20\\n },\\n ‘low_risk’: {\\n ‘contact_info’: 0.15,\\n ‘general_patterns’: 0.25,\\n ‘info_disclosure’: 0.20,\\n ‘version_exposure’: 0.30\\n }\\n }\\n \\n def calculate_ioc_score(self, findings: Dict, fingerprint: Dict) -\\u003e Tuple[float, IOCClassification, List[MITRETactic]]:\\n \\”\\”\\”Calculate comprehensive intelligence score with complete analysis\\”\\”\\”\\n ioc_classification = IOCClassification([], [], [])\\n matched_tactics = []\\n total_score = 0.0\\n \\n # Critical IOCs\\n critical_score = 0.0\\n critical_items = []\\n \\n if findings.get(‘sensitive_data’):\\n for category, items in findings[‘sensitive_data’].items():\\n if category in self.ioc_weights[‘critical’]:\\n weight = self.ioc_weights[‘critical’][category]\\n item_count = len(items)\\n critical_score += weight * min(item_count \/ 5, 1.0)\\n \\n for item in items[:10]: # First 10 items\\n if isinstance(item, dict):\\n value = item.get(‘value’, ‘N\/A’)\\n confidence = item.get(‘confidence’, 0)\\n critical_items.append(f\\”{category} ({confidence:.0%}): {value}\\”)\\n else:\\n critical_items.append(f\\”{category}: {str(item)}\\”)\\n \\n # Add all critical items to classification\\n ioc_classification.critical = critical_items\\n \\n if findings.get(‘security’, {}).get(‘risk_level’) == ‘high’:\\n critical_score += 0.75\\n ioc_classification.critical.append(\\”HIGH SECURITY RISK CONFIGURATION\\”)\\n \\n # Suspicious IOCs\\n suspicious_score = 0.0\\n suspicious_items = []\\n \\n if fingerprint.get(‘risk_score’, 0) \\u003e 0.5:\\n suspicious_score += 0.45\\n suspicious_items.append(f\\”High-risk infrastructure fingerprint (Score: {fingerprint[‘risk_score’]:.2f})\\”)\\n \\n if findings.get(‘headers’, {}).get(‘missing_headers’):\\n missing_count = len(findings[‘headers’][‘missing_headers’])\\n suspicious_score += min(missing_count * 0.12, 0.6)\\n suspicious_items.append(f\\”Missing {missing_count} critical security headers\\”)\\n \\n if fingerprint.get(‘header_details’, {}).get(‘server’, {}).get(‘version’):\\n suspicious_score += 0.25\\n suspicious_items.append(f\\”Server version exposed: {fingerprint[‘header_details’][‘server’][‘version’]}\\”)\\n \\n # Add all suspicious items\\n ioc_classification.suspicious = suspicious_items\\n \\n # Cloudflare-specific leak risk\\n cloudflare_leak_score = 0.0\\n if fingerprint.get(‘cdn’) == ‘Cloudflare’:\\n if findings.get(‘sensitive_data’):\\n cloudflare_leak_score += 0.85\\n ioc_classification.critical.append(\\”CLOUDFLARE WITH SENSITIVE DATA EXPOSURE – POTENTIAL CLOUDBLEED\\”)\\n \\n memory_patterns = findings.get(‘security’, {}).get(‘memory_patterns’, [])\\n if memory_patterns:\\n cloudflare_leak_score += 0.95\\n ioc_classification.critical.append(f\\”POTENTIAL CLOUDBLEED MEMORY LEAK PATTERNS DETECTED ({len(memory_patterns)} patterns)\\”)\\n \\n cloudflare_leak_score += fingerprint.get(‘cloudbleed_risk’, 0) * 0.5\\n \\n # MITRE Tactic Mapping\\n if critical_score \\u003e 0.6:\\n matched_tactics.append(self.mitre_tactics[1]) # Collection\\n matched_tactics.append(self.mitre_tactics[2]) # Exfiltration\\n \\n if suspicious_score \\u003e 0.4:\\n matched_tactics.append(self.mitre_tactics[0]) # Reconnaissance\\n \\n if cloudflare_leak_score \\u003e 0.5:\\n matched_tactics.append(self.mitre_tactics[1]) # Collection\\n \\n # Calculate total score\\n total_score = (\\n critical_score * 0.55 +\\n suspicious_score * 0.30 +\\n cloudflare_leak_score * 0.45\\n )\\n \\n total_score = min(total_score, 1.0)\\n \\n return total_score, ioc_classification, matched_tactics\\n \\n class CompleteCloudbleedScanner:\\n \\”\\”\\”Complete Cloudbleed Scanner – Shows ALL data with NO truncation\\”\\”\\”\\n \\n def __init__(self, enable_cache: bool = True, enable_intelligence: bool = True):\\n self.enable_cache = enable_cache\\n self.enable_intelligence = enable_intelligence\\n \\n self.cache = IntelligenceCache() if enable_cache else None\\n self.filter = AntiNoiseFilter()\\n self.regex = CompleteRegexPatterns()\\n self.fingerprint_analyzer = CompleteFingerprintAnalyzer()\\n self.intelligence_scorer = CompleteIntelligenceScorer() if enable_intelligence else None\\n self.report_saver = CompleteReportSaver()\\n \\n self.session_timeout = aiohttp.ClientTimeout(total=30)\\n \\n self.scan_headers = {\\n ‘User-Agent’: ‘Mozilla\/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit\/537.36 (KHTML, like Gecko) Chrome\/91.0.4472.124 Safari\/537.36’,\\n ‘Accept’: ‘text\/html,application\/xhtml+xml,application\/xml;q=0.9,image\/webp,*\/*;q=0.8’,\\n ‘Accept-Language’: ‘en-US,en;q=0.5’,\\n ‘Accept-Encoding’: ‘gzip, deflate, br’,\\n ‘Connection’: ‘keep-alive’,\\n ‘Upgrade-Insecure-Requests’: ‘1’,\\n ‘Cache-Control’: ‘no-cache’,\\n ‘Pragma’: ‘no-cache’,\\n ‘DNT’: ‘1’\\n }\\n \\n async def scan_url(self, url: str) -\\u003e Dict:\\n \\”\\”\\”Scan URL for Cloudbleed patterns and sensitive data – COMPLETE analysis\\”\\”\\”\\n \\n if self.enable_cache:\\n cached = self.cache.get_cached_scan(url)\\n if cached:\\n logger.info(f\\”Using cached results for {url}\\”)\\n return cached\\n \\n print(f\\”\\\\n\ud83d\udd0d \ud83d\udd0d \ud83d\udd0d Scanning: {url}\\”)\\n print(f\\”\u23f0 Start time: {datetime.now().strftime(‘%H:%M:%S’)}\\”)\\n \\n result = {\\n ‘url’: url,\\n ‘timestamp’: datetime.now().isoformat(),\\n ‘success’: False,\\n ‘error’: None,\\n ‘findings’: {},\\n ‘intelligence’: {},\\n ‘fingerprint’: {},\\n ‘content_hash’: None\\n }\\n \\n try:\\n connector = aiohttp.TCPConnector(ssl=ssl_context)\\n \\n async with aiohttp.ClientSession(\\n connector=connector,\\n timeout=self.session_timeout,\\n headers=self.scan_headers\\n ) as session:\\n \\n async with session.get(url, allow_redirects=True, ssl=False) as response:\\n content = await response.text()\\n \\n # Calculate content hash\\n result[‘content_hash’] = hashlib.md5(content.encode()).hexdigest()\\n \\n # Basic information\\n result[‘status’] = response.status\\n result[‘content_length’] = len(content)\\n result[‘content_type’] = response.headers.get(‘Content-Type’, ”)\\n result[‘server’] = response.headers.get(‘Server’, ‘Unknown’)\\n result[‘final_url’] = str(response.url)\\n \\n # Store ALL headers\\n all_headers = dict(response.headers)\\n result[‘all_headers’] = all_headers\\n \\n # Advanced Fingerprinting – COMPLETE\\n fingerprint = self.fingerprint_analyzer.analyze(all_headers, content, url)\\n result[‘fingerprint’] = fingerprint\\n \\n # Enhanced Content Analysis – COMPLETE\\n sensitive_findings = self.analyze_content_complete(content)\\n if sensitive_findings:\\n result[‘findings’][‘sensitive_data’] = sensitive_findings\\n \\n # Header Analysis – COMPLETE\\n header_analysis = self.analyze_headers_complete(all_headers)\\n if header_analysis:\\n result[‘findings’][‘headers’] = header_analysis\\n \\n # Cloudflare Detection – COMPLETE\\n cf_detected = await self.detect_cloudflare_complete(response, content)\\n if cf_detected:\\n result[‘findings’][‘cloudflare’] = cf_detected\\n \\n # Security Analysis – COMPLETE\\n security_analysis = await self.security_analysis_complete(response, content, fingerprint)\\n if security_analysis:\\n result[‘findings’][‘security’] = security_analysis\\n \\n # Intelligence Enrichment – COMPLETE\\n if self.enable_intelligence:\\n intelligence_data = await self.enrich_intelligence_complete(url, response, content, fingerprint, result[‘findings’])\\n result[‘intelligence’] = intelligence_data\\n \\n result[‘success’] = True\\n \\n if self.enable_cache:\\n self.cache.cache_scan(url, result)\\n \\n print(f\\”\u2705 Scan completed: {url}\\”)\\n print(f\\”\ud83d\udcca Content size: {result[‘content_length’]:,} bytes\\”)\\n \\n return result\\n \\n except asyncio.TimeoutError:\\n result[‘error’] = \\”Request timeout (30 seconds)\\”\\n return result\\n except aiohttp.ClientError as e:\\n result[‘error’] = f\\”Client error: {str(e)}\\”\\n return result\\n except Exception as e:\\n result[‘error’] = f\\”Unexpected error: {str(e)}\\”\\n logger.exception(f\\”Error scanning {url}\\”)\\n return result\\n \\n def analyze_content_complete(self, content: str) -\\u003e Dict:\\n \\”\\”\\”Complete content analysis with ALL data – NO truncation\\”\\”\\”\\n findings = {}\\n \\n for category, compiled_patterns in self.regex.compiled_patterns.items():\\n category_matches = []\\n \\n for pattern in compiled_patterns:\\n # Find ALL matches\\n matches = pattern.finditer(content)\\n \\n for match in matches:\\n if match.group(0):\\n match_text = match.group(0)\\n \\n # Get COMPLETE context (500 chars before and after)\\n start_pos = max(0, match.start() – 500)\\n end_pos = min(len(content), match.end() + 500)\\n context = content[start_pos:end_pos]\\n \\n # Apply anti-noise filtering\\n if self.filter.filter_sensitive_data(category, match_text, context):\\n # Clean the match\\n clean_match = match_text.strip()\\n if len(clean_match) \\u003e 3:\\n confidence = self.calculate_confidence_complete(category, clean_match, context)\\n \\n # Store COMPLETE match\\n category_matches.append({\\n ‘value’: clean_match,\\n ‘context’: context,\\n ‘confidence’: confidence,\\n ‘position’: match.start(),\\n ‘length’: len(clean_match),\\n ‘hex_representation’: clean_match.encode(‘utf-8′, errors=’ignore’).hex()[:200]\\n })\\n \\n if category_matches:\\n # Sort by confidence and length\\n category_matches.sort(key=lambda x: (x[‘confidence’], x[‘length’]), reverse=True)\\n findings[category] = category_matches # ALL matches, no limit\\n \\n return findings\\n \\n def calculate_confidence_complete(self, category: str, value: str, context: str) -\\u003e float:\\n \\”\\”\\”Calculate confidence score with complete analysis\\”\\”\\”\\n confidence = 0.5 # Base confidence\\n \\n # Value characteristics\\n if category == ‘api_keys’:\\n if re.match(r’^AKIA[0-9A-Z]{16}$’, value):\\n confidence = 0.98 # AWS Access Key\\n elif re.match(r’^sk_(live|test)_[0-9a-zA-Z]{24}$’, value):\\n confidence = 0.95 # Stripe Secret Key\\n elif re.match(r’^gh[ps]_[a-zA-Z0-9]{36,}$’, value):\\n confidence = 0.93 # GitHub Token\\n elif len(value) \\u003e= 32 and re.match(r’^[a-fA-F0-9]+$’, value):\\n confidence = 0.85\\n elif ‘—–BEGIN’ in value and ‘—–END’ in value:\\n confidence = 0.96 # Private key\\n \\n elif category == ‘tokens’:\\n if value.startswith(‘eyJ’):\\n confidence = 0.94 # JWT token\\n # Additional JWT validation\\n parts = value.split(‘.’)\\n if len(parts) == 3:\\n confidence += 0.03\\n elif len(value) \\u003e= 64:\\n confidence = 0.75\\n \\n elif category == ‘credentials’:\\n if len(value) \\u003e= 12:\\n confidence += 0.15\\n if re.search(r'[A-Z]’, value) and re.search(r'[a-z]’, value):\\n confidence += 0.10\\n if re.search(r’\\\\d’, value):\\n confidence += 0.05\\n if re.search(r'[^A-Za-z0-9]’, value):\\n confidence += 0.05\\n \\n # Context indicators\\n context_lower = context.lower()\\n \\n high_conf_indicators = {\\n ‘secret’: 0.15,\\n ‘key’: 0.12,\\n ‘token’: 0.12,\\n ‘password’: 0.15,\\n ‘credential’: 0.10,\\n ‘private’: 0.10,\\n ‘auth’: 0.08,\\n ‘api’: 0.07\\n }\\n \\n for indicator, boost in high_conf_indicators.items():\\n if indicator in context_lower:\\n confidence += boost\\n \\n # Negative indicators (reduce confidence)\\n low_conf_indicators = [‘example’, ‘sample’, ‘test’, ‘demo’, ‘placeholder’]\\n for indicator in low_conf_indicators:\\n if indicator in context_lower:\\n confidence *= 0.7\\n \\n return min(max(confidence, 0.0), 1.0)\\n \\n def analyze_headers_complete(self, headers: Dict) -\\u003e Dict:\\n \\”\\”\\”Complete header analysis with ALL details\\”\\”\\”\\n analysis = {\\n ‘security_headers’: {},\\n ‘missing_headers’: [],\\n ‘server_info’: {},\\n ‘vulnerabilities’: [],\\n ‘all_headers’: [],\\n ‘cookie_analysis’: []\\n }\\n \\n # Store ALL headers\\n analysis[‘all_headers’] = [f\\”{k}: {v}\\” for k, v in headers.items()]\\n \\n # Security Headers Configuration\\n security_headers_config = {\\n ‘Strict-Transport-Security’: {\\n ‘required’: True,\\n ‘risk’: ‘critical’,\\n ‘description’: ‘Prevents SSL stripping and protocol downgrade attacks’,\\n ‘recommended_value’: ‘max-age=31536000; includeSubDomains; preload’\\n },\\n ‘Content-Security-Policy’: {\\n ‘required’: True,\\n ‘risk’: ‘critical’,\\n ‘description’: ‘Prevents XSS, clickjacking, and code injection attacks’,\\n ‘recommended_value’: \\”default-src ‘self’; script-src ‘self’\\”\\n },\\n ‘X-Frame-Options’: {\\n ‘required’: True,\\n ‘risk’: ‘high’,\\n ‘description’: ‘Prevents clickjacking attacks’,\\n ‘recommended_value’: ‘DENY or SAMEORIGIN’\\n },\\n ‘X-Content-Type-Options’: {\\n ‘required’: True,\\n ‘risk’: ‘medium’,\\n ‘description’: ‘Prevents MIME type sniffing’,\\n ‘recommended_value’: ‘nosniff’\\n },\\n ‘Referrer-Policy’: {\\n ‘required’: False,\\n ‘risk’: ‘medium’,\\n ‘description’: ‘Controls referrer information leakage’,\\n ‘recommended_value’: ‘strict-origin-when-cross-origin’\\n },\\n ‘Permissions-Policy’: {\\n ‘required’: False,\\n ‘risk’: ‘medium’,\\n ‘description’: ‘Controls browser features and APIs’,\\n ‘recommended_value’: ‘See latest best practices’\\n },\\n ‘X-XSS-Protection’: {\\n ‘required’: False,\\n ‘risk’: ‘low’,\\n ‘description’: ‘Legacy XSS protection (deprecated)’,\\n ‘recommended_value’: ‘0 (disable as CSP is better)’\\n }\\n }\\n \\n # Analyze each security header\\n for header, config in security_headers_config.items():\\n if header in headers:\\n analysis[‘security_headers’][header] = {\\n ‘value’: headers[header],\\n ‘risk’: config[‘risk’],\\n ‘description’: config[‘description’],\\n ‘recommended’: config[‘recommended_value’]\\n }\\n \\n # Check for common misconfigurations\\n if header == ‘Strict-Transport-Security’:\\n if ‘max-age’ not in headers[header]:\\n analysis[‘vulnerabilities’].append(f\\”HSTS missing max-age directive\\”)\\n if ‘includeSubDomains’ not in headers[header]:\\n analysis[‘vulnerabilities’].append(f\\”HSTS missing includeSubDomains directive\\”)\\n \\n elif header == ‘Content-Security-Policy’:\\n if \\”‘unsafe-inline’\\” in headers[header]:\\n analysis[‘vulnerabilities’].append(f\\”CSP contains unsafe-inline directive\\”)\\n if \\”‘unsafe-eval’\\” in headers[header]:\\n analysis[‘vulnerabilities’].append(f\\”CSP contains unsafe-eval directive\\”)\\n \\n elif header == ‘X-Frame-Options’:\\n if headers[header].upper() not in [‘DENY’, ‘SAMEORIGIN’]:\\n analysis[‘vulnerabilities’].append(f\\”X-Frame-Options has non-standard value: {headers[header]}\\”)\\n \\n elif config[‘required’]:\\n analysis[‘missing_headers’].append(header)\\n analysis[‘vulnerabilities’].append(\\n f\\”Missing {header}: {config[‘description’]}\\”\\n )\\n \\n # Server Information with COMPLETE analysis\\n for header_name, header_value in headers.items():\\n if ‘server’ in header_name.lower():\\n analysis[‘server_info’][‘header’] = header_name\\n analysis[‘server_info’][‘value’] = header_value\\n \\n # Extract ALL version information\\n version_patterns = [\\n r'(\\\\d+\\\\.\\\\d+(?:\\\\.\\\\d+)?(?:\\\\.\\\\d+)?)’, # Standard version\\n r’v(\\\\d+(?:\\\\.\\\\d+)?)’, # vX or vX.Y format\\n r'(\\\\d{8})’, # Date format (YYYYMMDD)\\n r'(\\\\d{4}[a-z]?)’, # Year + optional letter\\n r'(\\\\d{1,2}\/\\\\d{1,2}\/\\\\d{4})’, # Date format\\n ]\\n \\n found_versions = []\\n for pattern in version_patterns:\\n matches = re.findall(pattern, header_value)\\n found_versions.extend(matches)\\n \\n if found_versions:\\n analysis[‘server_info’][‘versions’] = found_versions\\n for version in found_versions:\\n if isinstance(version, tuple):\\n version = version[0]\\n analysis[‘vulnerabilities’].append(\\n f\\”Server version exposed: {version}\\”\\n )\\n \\n # Cookie Analysis\\n set_cookie_header = headers.get(‘Set-Cookie’, ”)\\n if set_cookie_header:\\n cookies = set_cookie_header.split(‘, ‘)\\n for cookie in cookies:\\n cookie_analysis = {\\n ‘raw’: cookie[:200],\\n ‘secure’: ‘Secure’ in cookie,\\n ‘httponly’: ‘HttpOnly’ in cookie,\\n ‘samesite’: ‘SameSite’ in cookie,\\n ‘path’: None,\\n ‘domain’: None\\n }\\n \\n # Extract path and domain\\n path_match = re.search(r’path=([^;]+)’, cookie, re.IGNORECASE)\\n if path_match:\\n cookie_analysis[‘path’] = path_match.group(1)\\n \\n domain_match = re.search(r’domain=([^;]+)’, cookie, re.IGNORECASE)\\n if domain_match:\\n cookie_analysis[‘domain’] = domain_match.group(1)\\n \\n analysis[‘cookie_analysis’].append(cookie_analysis)\\n \\n # Check for insecure cookies\\n if not cookie_analysis[‘secure’]:\\n analysis[‘vulnerabilities’].append(\\”Cookie missing Secure flag\\”)\\n if not cookie_analysis[‘httponly’]:\\n analysis[‘vulnerabilities’].append(\\”Cookie missing HttpOnly flag\\”)\\n \\n return analysis\\n \\n async def detect_cloudflare_complete(self, response, content: str) -\\u003e Dict:\\n \\”\\”\\”Complete Cloudflare detection with ALL indicators\\”\\”\\”\\n indicators = []\\n headers_dict = dict(response.headers)\\n \\n # Cloudflare-specific patterns\\n cloudflare_patterns = [\\n ‘cloudflare’,\\n ‘__cfduid’,\\n ‘cf-ray’,\\n ‘cf-cache-status’,\\n ‘cf-polished’,\\n ‘cf-bgj’,\\n ‘cf-request-id’,\\n ‘cf-worker’,\\n ‘cf-connecting-ip’\\n ]\\n \\n # Check ALL headers\\n for header_name, header_value in headers_dict.items():\\n header_line = f\\”{header_name}: {header_value}\\”\\n header_lower = header_line.lower()\\n \\n for pattern in cloudflare_patterns:\\n if pattern in header_lower:\\n indicators.append({\\n ‘type’: ‘header’,\\n ‘pattern’: pattern,\\n ‘value’: header_line\\n })\\n \\n # Check cookies\\n cookies = headers_dict.get(‘Set-Cookie’, ”)\\n if cookies:\\n for pattern in [‘__cfduid’, ‘cf_clearance’]:\\n if pattern in cookies:\\n indicators.append({\\n ‘type’: ‘cookie’,\\n ‘pattern’: pattern,\\n ‘value’: cookies[:500] + (‘…’ if len(cookies) \\u003e 500 else ”)\\n })\\n \\n # Check content for Cloudflare-specific patterns\\n content_lower = content.lower()\\n content_indicators = []\\n \\n for pattern in cloudflare_patterns:\\n if pattern in content_lower:\\n # Find all occurrences\\n positions = [m.start() for m in re.finditer(pattern, content_lower)]\\n for pos in positions[:5]: # First 5 occurrences\\n start = max(0, pos – 50)\\n end = min(len(content), pos + 50)\\n context = content[start:end]\\n content_indicators.append(f\\”‘{pattern}’ at position {pos}: …{context}…\\”)\\n \\n if content_indicators:\\n indicators.append({\\n ‘type’: ‘content’,\\n ‘patterns’: content_indicators[:10] # First 10 content indicators\\n })\\n \\n # Calculate confidence\\n confidence = min(len(indicators) * 0.25, 1.0)\\n \\n return {\\n ‘detected’: len(indicators) \\u003e 0,\\n ‘indicators’: indicators,\\n ‘confidence’: confidence,\\n ‘indicator_count’: len(indicators)\\n }\\n \\n async def security_analysis_complete(self, response, content: str, fingerprint: Dict) -\\u003e Dict:\\n \\”\\”\\”Complete security analysis with ALL memory leak patterns\\”\\”\\”\\n analysis = {\\n ‘risk_level’: ‘low’,\\n ‘risk_score’: 0.0,\\n ‘issues’: [],\\n ‘recommendations’: [],\\n ‘memory_patterns’: [],\\n ‘mitre_tactics’: [],\\n ‘pattern_statistics’: {}\\n }\\n \\n # HTTPS Check\\n if str(response.url).startswith(‘http:’):\\n analysis[‘issues’].append(\\”\u274c Site not using HTTPS – data transmitted in plain text\\”)\\n analysis[‘risk_score’] += 0.35\\n \\n # Missing Security Headers – COMPLETE analysis\\n headers_dict = dict(response.headers)\\n missing_critical = []\\n \\n critical_headers = [‘Strict-Transport-Security’, ‘Content-Security-Policy’, ‘X-Frame-Options’]\\n for header in critical_headers:\\n if header not in headers_dict:\\n missing_critical.append(header)\\n \\n if missing_critical:\\n analysis[‘issues’].append(f\\”\u274c Missing critical security headers: {‘, ‘.join(missing_critical)}\\”)\\n analysis[‘risk_score’] += len(missing_critical) * 0.15\\n \\n # Server Information Exposure – COMPLETE\\n server_header = headers_dict.get(‘Server’, ”)\\n if server_header:\\n # Find ALL version patterns\\n version_patterns = [\\n r’\\\\d+\\\\.\\\\d+(?:\\\\.\\\\d+)?(?:\\\\.\\\\d+)?’,\\n r’v\\\\d+(?:\\\\.\\\\d+)?’,\\n r’\\\\d{8}’,\\n r’\\\\d{4}[a-z]?’\\n ]\\n \\n exposed_versions = []\\n for pattern in version_patterns:\\n matches = re.findall(pattern, server_header)\\n exposed_versions.extend(matches)\\n \\n if exposed_versions:\\n analysis[‘issues’].append(f\\”\u26a0\ufe0f Server version exposed: {server_header}\\”)\\n analysis[‘risk_score’] += min(len(exposed_versions) * 0.08, 0.25)\\n \\n # Memory Leak Patterns – COMPLETE analysis\\n memory_patterns = self.regex.compiled_patterns[‘memory_leak_patterns’]\\n all_memory_matches = []\\n \\n pattern_statistics = {\\n ‘hex_strings’: 0,\\n ‘null_sequences’: 0,\\n ‘non_printable’: 0,\\n ‘uuids’: 0,\\n ‘memory_addresses’: 0,\\n ‘total_patterns’: 0\\n }\\n \\n for pattern_idx, pattern in enumerate(memory_patterns):\\n pattern_matches = list(pattern.finditer(content))\\n \\n for match in pattern_matches:\\n match_text = match.group(0)\\n match_start = match.start()\\n match_end = match.end()\\n \\n # Determine pattern type\\n if re.match(r'[0-9a-fA-F]{32,}’, match_text):\\n pattern_type = ‘hex_string’\\n pattern_statistics[‘hex_strings’] += 1\\n elif re.match(r'(?s)\\\\x00{4,}’, match_text):\\n pattern_type = ‘null_sequence’\\n pattern_statistics[‘null_sequences’] += 1\\n elif re.match(r'[^\\\\x20-\\\\x7E]{20,}’, match_text):\\n pattern_type = ‘non_printable’\\n pattern_statistics[‘non_printable’] += 1\\n elif re.match(r'[A-F0-9]{8}-[A-F0-9]{4}-[A-F0-9]{4}-[A-F0-9]{4}-[A-F0-9]{12}’, match_text):\\n pattern_type = ‘uuid’\\n pattern_statistics[‘uuids’] += 1\\n elif re.match(r’0x[0-9a-fA-F]{8,16}’, match_text):\\n pattern_type = ‘memory_address’\\n pattern_statistics[‘memory_addresses’] += 1\\n else:\\n pattern_type = ‘unknown’\\n \\n # Get context\\n context_start = max(0, match_start – 200)\\n context_end = min(len(content), match_end + 200)\\n context = content[context_start:context_end]\\n \\n # Store COMPLETE pattern\\n all_memory_matches.append({\\n ‘pattern’: match_text,\\n ‘type’: pattern_type,\\n ‘length’: len(match_text),\\n ‘position’: match_start,\\n ‘context’: context,\\n ‘hex_representation’: match_text.encode(‘utf-8′, errors=’ignore’).hex(),\\n ‘risk_score’: min(len(match_text) \/ 1000, 0.8)\\n })\\n \\n pattern_statistics[‘total_patterns’] += 1\\n \\n # Update analysis with statistics\\n analysis[‘pattern_statistics’] = pattern_statistics\\n \\n # Sort patterns by length (longer = more suspicious)\\n all_memory_matches.sort(key=lambda x: x[‘length’], reverse=True)\\n \\n # Add ALL patterns to analysis\\n for match in all_memory_matches:\\n analysis[‘memory_patterns’].append(match)\\n analysis[‘risk_score’] += match[‘risk_score’]\\n \\n # Cloudflare-specific risks – COMPLETE\\n if fingerprint.get(‘cdn’) == ‘Cloudflare’:\\n analysis[‘issues’].append(\\”\ud83d\udee1\ufe0f Cloudflare detected – potential Cloudbleed scenario\\”)\\n analysis[‘risk_score’] += 0.2\\n \\n if analysis.get(‘memory_patterns’):\\n pattern_count = len(analysis[‘memory_patterns’])\\n analysis[‘issues’].append(f\\”\ud83d\udea8 {pattern_count} potential Cloudbleed memory leak patterns detected\\”)\\n analysis[‘risk_score’] += min(pattern_count * 0.1, 0.5)\\n analysis[‘mitre_tactics’].append(\\”TA0009 – Collection (Cloudbleed)\\”)\\n \\n if str(response.url).startswith(‘http:’):\\n analysis[‘issues’].append(\\”\u26a0\ufe0f Cloudflare without HTTPS – potential downgrade attacks\\”)\\n analysis[‘risk_score’] += 0.25\\n \\n # Determine risk level based on COMPLETE score\\n if analysis[‘risk_score’] \\u003e= 0.75:\\n analysis[‘risk_level’] = ‘critical’\\n elif analysis[‘risk_score’] \\u003e= 0.5:\\n analysis[‘risk_level’] = ‘high’\\n elif analysis[‘risk_score’] \\u003e= 0.3:\\n analysis[‘risk_level’] = ‘medium’\\n else:\\n analysis[‘risk_level’] = ‘low’\\n \\n # Generate COMPLETE recommendations\\n if analysis[‘risk_score’] \\u003e 0.6:\\n analysis[‘recommendations’].append(\\”\ud83d\udd34 IMMEDIATE ACTION REQUIRED: Investigate potential Cloudbleed memory leaks\\”)\\n analysis[‘recommendations’].append(\\”\ud83d\udd34 Contact Cloudflare support and security team immediately\\”)\\n \\n if analysis.get(‘memory_patterns’):\\n analysis[‘recommendations’].append(\\”\ud83d\udd0d Investigate ALL memory leak patterns found in the report\\”)\\n analysis[‘recommendations’].append(\\”\ud83d\udd04 Rotate ALL API keys, tokens, and credentials immediately\\”)\\n \\n if fingerprint.get(‘cdn’) == ‘Cloudflare’:\\n analysis[‘recommendations’].append(\\”\ud83d\udee1\ufe0f Review Cloudflare configuration for potential memory leak issues\\”)\\n analysis[‘recommendations’].append(\\”\ud83d\udcca Enable Cloudflare logging and monitoring for suspicious activity\\”)\\n \\n if missing_critical:\\n analysis[‘recommendations’].append(\\”\ud83d\udd27 Implement missing security headers immediately\\”)\\n analysis[‘recommendations’].append(\\”\ud83d\udcd6 Follow OWASP security header guidelines\\”)\\n \\n return analysis\\n \\n async def enrich_intelligence_complete(self, url: str, response, content: str, fingerprint: Dict, findings: Dict) -\\u003e Dict:\\n \\”\\”\\”Complete intelligence enrichment\\”\\”\\”\\n intelligence = {\\n ‘ioc_score’: 0.0,\\n ‘ioc_classification’: {},\\n ‘mitre_tactics’: [],\\n ‘threat_level’: ‘low’,\\n ‘enrichment_data’: {},\\n ‘timestamp’: datetime.now().isoformat()\\n }\\n \\n if self.intelligence_scorer:\\n score, classification, tactics = self.intelligence_scorer.calculate_ioc_score(\\n findings, fingerprint\\n )\\n \\n intelligence[‘ioc_score’] = score\\n intelligence[‘ioc_classification’] = {\\n ‘critical’: classification.critical,\\n ‘suspicious’: classification.suspicious,\\n ‘low_risk’: classification.low_risk\\n }\\n intelligence[‘mitre_tactics’] = [\\n {\\n ‘id’: tactic.id,\\n ‘name’: tactic.name,\\n ‘confidence’: tactic.confidence,\\n ‘techniques’: tactic.techniques\\n }\\n for tactic in tactics\\n ]\\n \\n # Determine COMPLETE threat level\\n if score \\u003e= 0.8:\\n intelligence[‘threat_level’] = ‘critical’\\n elif score \\u003e= 0.6:\\n intelligence[‘threat_level’] = ‘high’\\n elif score \\u003e= 0.4:\\n intelligence[‘threat_level’] = ‘medium’\\n elif score \\u003e= 0.2:\\n intelligence[‘threat_level’] = ‘low’\\n else:\\n intelligence[‘threat_level’] = ‘informational’\\n \\n parsed_url = urlparse(url)\\n domain = parsed_url.netloc\\n \\n intelligence[‘enrichment_data’][‘domain_analysis’] = {\\n ‘domain’: domain,\\n ‘tld’: domain.split(‘.’)[-1] if ‘.’ in domain else ”,\\n ‘subdomain_count’: len(domain.split(‘.’)) – 2 if ‘.’ in domain else 0,\\n ‘url_structure’: {\\n ‘scheme’: parsed_url.scheme,\\n ‘netloc’: parsed_url.netloc,\\n ‘path’: parsed_url.path,\\n ‘params’: parsed_url.params,\\n ‘query’: parsed_url.query,\\n ‘fragment’: parsed_url.fragment\\n }\\n }\\n \\n # Content statistics\\n intelligence[‘enrichment_data’][‘content_stats’] = {\\n ‘size_bytes’: len(content),\\n ‘line_count’: content.count(‘\\\\n’),\\n ‘word_count’: len(content.split()),\\n ‘character_count’: len(content),\\n ‘binary_percentage’: sum(1 for c in content if ord(c) \\u003c 32 or ord(c) \\u003e 126) \/ len(content) * 100 if content else 0\\n }\\n \\n return intelligence\\n \\n def display_result_complete(self, result: Dict):\\n \\”\\”\\”Display COMPLETE results with NO truncation\\”\\”\\”\\n print(\\”\\\\n\\” + \\”=\\”*120)\\n print(f\\”\ud83d\udea8 \ud83d\udea8 \ud83d\udea8 CLOUDBLEED COMPLETE SCAN REPORT \ud83d\udea8 \ud83d\udea8 \ud83d\udea8\\”)\\n print(f\\”\ud83c\udf10 URL: {result[‘url’]}\\”)\\n print(\\”=\\”*120)\\n \\n if result[‘error’]:\\n print(f\\”\u274c \u274c \u274c SCAN ERROR \u274c \u274c \u274c\\”)\\n print(f\\”Error: {result[‘error’]}\\”)\\n print(\\”=\\”*120)\\n return\\n \\n # Basic Info – COMPLETE\\n print(f\\”\\\\n\ud83d\udcca \ud83d\udcca \ud83d\udcca BASIC INFORMATION \ud83d\udcca \ud83d\udcca \ud83d\udcca\\”)\\n print(f\\” \u2705 Status Code: {result.get(‘status’, ‘N\/A’)}\\”)\\n print(f\\” \ud83d\udccf Content Size: {result.get(‘content_length’, 0):,} bytes\\”)\\n print(f\\” \ud83d\udcc4 Content Type: {result.get(‘content_type’, ‘Unknown’)}\\”)\\n print(f\\” \ud83d\udd10 Content Hash (MD5): {result.get(‘content_hash’, ‘N\/A’)}\\”)\\n print(f\\” \ud83d\udda5\ufe0f Server: {result.get(‘server’, ‘Unknown’)}\\”)\\n print(f\\” \ud83d\udd17 Final URL: {result.get(‘final_url’, ‘N\/A’)}\\”)\\n print(f\\” \ud83d\udd50 Scan Time: {result.get(‘timestamp’, ‘Unknown’)}\\”)\\n \\n # Fingerprinting – COMPLETE\\n fingerprint = result.get(‘fingerprint’, {})\\n if fingerprint:\\n print(f\\”\\\\n\ud83d\udda5\ufe0f \ud83d\udda5\ufe0f \ud83d\udda5\ufe0f COMPLETE PLATFORM FINGERPRINTING \ud83d\udda5\ufe0f \ud83d\udda5\ufe0f \ud83d\udda5\ufe0f\\”)\\n \\n tech_info = [\\n (‘\ud83c\udf10 CDN Provider’, ‘cdn’),\\n (‘\ud83d\udee1\ufe0f WAF Protection’, ‘waf’),\\n (‘\ud83d\udcbb Programming Language’, ‘language’),\\n (‘\ud83c\udfd7\ufe0f Web Framework’, ‘framework’),\\n (‘\ud83d\udda5\ufe0f Server Software’, ‘server_software’),\\n ]\\n \\n for display_name, key in tech_info:\\n if fingerprint.get(key):\\n print(f\\” \u2022 {display_name}: {fingerprint[key]}\\”)\\n \\n if fingerprint.get(‘technologies’):\\n print(f\\”\\\\n \ud83d\udee0\ufe0f ALL DETECTED TECHNOLOGIES:\\”)\\n for tech in fingerprint[‘technologies’]:\\n print(f\\” \u2713 {tech}\\”)\\n \\n if fingerprint.get(‘content_indicators’):\\n print(f\\”\\\\n \ud83d\udd0d CONTENT INDICATORS:\\”)\\n for indicator in fingerprint[‘content_indicators’][:10]:\\n print(f\\” \u2022 {indicator}\\”)\\n \\n print(f\\”\\\\n \ud83d\udcca FINGERPRINT RISK SCORE: {fingerprint.get(‘risk_score’, 0):.2f}\/1.0\\”)\\n if fingerprint.get(‘cloudbleed_risk’, 0) \\u003e 0:\\n print(f\\” \ud83d\udea8 CLOUDBLEED RISK SCORE: {fingerprint.get(‘cloudbleed_risk’, 0):.2f}\/1.0\\”)\\n \\n # Headers Analysis – COMPLETE\\n headers_data = result.get(‘findings’, {}).get(‘headers’, {})\\n if headers_data:\\n print(f\\”\\\\n\ud83d\udccb \ud83d\udccb \ud83d\udccb COMPLETE HEADERS ANALYSIS \ud83d\udccb \ud83d\udccb \ud83d\udccb\\”)\\n \\n if headers_data.get(‘missing_headers’):\\n print(f\\”\\\\n \u274c MISSING CRITICAL SECURITY HEADERS:\\”)\\n for idx, header in enumerate(headers_data[‘missing_headers’], 1):\\n print(f\\” {idx:2d}. {header}\\”)\\n \\n if headers_data.get(‘vulnerabilities’):\\n print(f\\”\\\\n \u26a0\ufe0f HEADER VULNERABILITIES:\\”)\\n for idx, vuln in enumerate(headers_data[‘vulnerabilities’][:10], 1):\\n print(f\\” {idx:2d}. {vuln}\\”)\\n \\n # Security Analysis – COMPLETE\\n security = result.get(‘findings’, {}).get(‘security’, {})\\n if security:\\n print(f\\”\\\\n\ud83d\udd12 \ud83d\udd12 \ud83d\udd12 COMPLETE SECURITY ANALYSIS \ud83d\udd12 \ud83d\udd12 \ud83d\udd12\\”)\\n print(f\\” \ud83c\udfaf OVERALL RISK LEVEL: {security.get(‘risk_level’, ‘low’).upper()}\\”)\\n print(f\\” \ud83d\udcc8 RISK SCORE: {security.get(‘risk_score’, 0):.2f}\/1.0\\”)\\n \\n if security.get(‘issues’):\\n print(f\\”\\\\n \u26a0\ufe0f \u26a0\ufe0f \u26a0\ufe0f SECURITY ISSUES FOUND:\\”)\\n for idx, issue in enumerate(security.get(‘issues’, []), 1):\\n print(f\\” {idx:2d}. {issue}\\”)\\n \\n # Memory Leak Patterns – COMPLETE display\\n if security.get(‘memory_patterns’):\\n memory_patterns = security[‘memory_patterns’]\\n print(f\\”\\\\n \ud83d\udea8 \ud83d\udea8 \ud83d\udea8 MEMORY LEAK PATTERNS DETECTED \ud83d\udea8 \ud83d\udea8 \ud83d\udea8\\”)\\n print(f\\” \ud83d\udcca TOTAL PATTERNS: {len(memory_patterns)}\\”)\\n \\n if security.get(‘pattern_statistics’):\\n stats = security[‘pattern_statistics’]\\n print(f\\”\\\\n \ud83d\udcc8 PATTERN STATISTICS:\\”)\\n print(f\\” \u2022 Hex Strings: {stats.get(‘hex_strings’, 0)}\\”)\\n print(f\\” \u2022 Null Sequences: {stats.get(‘null_sequences’, 0)}\\”)\\n print(f\\” \u2022 Non-Printable: {stats.get(‘non_printable’, 0)}\\”)\\n print(f\\” \u2022 UUIDs: {stats.get(‘uuids’, 0)}\\”)\\n print(f\\” \u2022 Memory Addresses: {stats.get(‘memory_addresses’, 0)}\\”)\\n print(f\\” \u2022 Total Patterns: {stats.get(‘total_patterns’, 0)}\\”)\\n \\n # Show first 5 patterns completely\\n print(f\\”\\\\n \ud83d\udd0d FIRST 5 PATTERNS (COMPLETE):\\”)\\n for idx, pattern_info in enumerate(memory_patterns[:5], 1):\\n if isinstance(pattern_info, dict):\\n pattern = pattern_info.get(‘pattern’, ”)\\n length = pattern_info.get(‘length’, 0)\\n pattern_type = pattern_info.get(‘type’, ‘unknown’)\\n \\n print(f\\”\\\\n {idx}. TYPE: {pattern_type}, LENGTH: {length} chars\\”)\\n print(f\\” {‘\u2500’*60}\\”)\\n \\n # Display COMPLETE pattern\\n if length \\u003e 500:\\n print(f\\” FIRST 500 CHARACTERS:\\”)\\n print(f\\” {pattern[:500]}…\\”)\\n print(f\\” … [continued in full report] …\\”)\\n else:\\n print(f\\” {pattern}\\”)\\n \\n print(f\\” {‘\u2500’*60}\\”)\\n else:\\n print(f\\”\\\\n {idx}. {str(pattern_info)}\\”)\\n \\n if len(memory_patterns) \\u003e 5:\\n print(f\\”\\\\n … and {len(memory_patterns) – 5} more patterns\\”)\\n print(f\\” \ud83d\udcc4 See complete report for ALL patterns\\”)\\n \\n if security.get(‘recommendations’):\\n print(f\\”\\\\n \ud83d\udca1 \ud83d\udca1 \ud83d\udca1 SECURITY RECOMMENDATIONS:\\”)\\n for idx, rec in enumerate(security.get(‘recommendations’, []), 1):\\n print(f\\” {idx:2d}. {rec}\\”)\\n \\n # Sensitive Data – COMPLETE\\n sensitive_data = result.get(‘findings’, {}).get(‘sensitive_data’, {})\\n if sensitive_data:\\n print(f\\”\\\\n\ud83d\udea8 \ud83d\udea8 \ud83d\udea8 SENSITIVE DATA DETECTED \ud83d\udea8 \ud83d\udea8 \ud83d\udea8\\”)\\n \\n total_items = sum(len(items) for items in sensitive_data.values())\\n print(f\\” \ud83d\udcca TOTAL SENSITIVE ITEMS FOUND: {total_items}\\”)\\n \\n for category, items in sensitive_data.items():\\n if items:\\n print(f\\”\\\\n \ud83d\udcc1 {category.upper()}: {len(items)} items\\”)\\n \\n # Show first 3 items completely\\n for idx, item in enumerate(items[:3], 1):\\n if isinstance(item, dict):\\n value = item.get(‘value’, ‘N\/A’)\\n confidence = item.get(‘confidence’, 0)\\n length = item.get(‘length’, len(value))\\n \\n print(f\\”\\\\n {idx}. CONFIDENCE: {confidence:.0%}, LENGTH: {length} chars\\”)\\n print(f\\” {‘\u2500’*60}\\”)\\n \\n # Display COMPLETE value\\n if length \\u003e 300:\\n print(f\\” FIRST 300 CHARACTERS:\\”)\\n print(f\\” {value[:300]}…\\”)\\n print(f\\” … [full value in report] …\\”)\\n else:\\n print(f\\” {value}\\”)\\n \\n print(f\\” {‘\u2500’*60}\\”)\\n \\n else:\\n print(f\\”\\\\n {idx}. {str(item)[:200]}…\\” if len(str(item)) \\u003e 200 else f\\” {idx}. {str(item)}\\”)\\n \\n if len(items) \\u003e 3:\\n print(f\\”\\\\n … and {len(items) – 3} more {category}\\”)\\n \\n # Cloudflare Detection – COMPLETE\\n cloudflare = result.get(‘findings’, {}).get(‘cloudflare’, {})\\n if cloudflare:\\n print(f\\”\\\\n\ud83d\udee1\ufe0f \ud83d\udee1\ufe0f \ud83d\udee1\ufe0f CLOUDFLARE DETECTION \ud83d\udee1\ufe0f \ud83d\udee1\ufe0f \ud83d\udee1\ufe0f\\”)\\n print(f\\” \ud83d\udd0d DETECTED: {‘YES’ if cloudflare.get(‘detected’) else ‘NO’}\\”)\\n print(f\\” \ud83d\udcca CONFIDENCE: {cloudflare.get(‘confidence’, 0):.0%}\\”)\\n \\n if cloudflare.get(‘detected’) and cloudflare.get(‘indicators’):\\n print(f\\”\\\\n \ud83d\udccb INDICATORS FOUND: {cloudflare.get(‘indicator_count’, 0)}\\”)\\n indicators = cloudflare.get(‘indicators’, [])\\n for idx, indicator in enumerate(indicators[:5], 1):\\n if isinstance(indicator, dict):\\n print(f\\” {idx}. {indicator.get(‘type’, ‘unknown’)}: {indicator.get(‘pattern’, ‘unknown’)}\\”)\\n else:\\n print(f\\” {idx}. {indicator}\\”)\\n \\n # Intelligence Data – COMPLETE\\n intelligence = result.get(‘intelligence’, {})\\n if intelligence:\\n print(f\\”\\\\n\ud83e\udde0 \ud83e\udde0 \ud83e\udde0 THREAT INTELLIGENCE \ud83e\udde0 \ud83e\udde0 \ud83e\udde0\\”)\\n print(f\\” \ud83d\udcca IOC SCORE: {intelligence.get(‘ioc_score’, 0):.2f}\/1.0\\”)\\n print(f\\” \ud83c\udfaf THREAT LEVEL: {intelligence.get(‘threat_level’, ‘low’).upper()}\\”)\\n \\n ioc_classification = intelligence.get(‘ioc_classification’, {})\\n for level, items in ioc_classification.items():\\n if items:\\n print(f\\”\\\\n \ud83d\udcc1 {level.upper()} IOCS ({len(items)}):\\”)\\n for idx, item in enumerate(items[:5], 1):\\n print(f\\” {idx}. {item[:100]}…\\” if len(item) \\u003e 100 else f\\” {idx}. {item}\\”)\\n \\n print(\\”\\\\n\\” + \\”=\\”*120)\\n \\n # Save COMPLETE report\\n try:\\n saved_file = self.report_saver.save_complete_report(result)\\n print(f\\”\\\\n\ud83d\udcbe \ud83d\udcbe \ud83d\udcbe COMPLETE CLOUDBLEED REPORT SAVED TO: {saved_file}\\”)\\n print(f\\”\ud83d\udcc4 File contains ALL data with NO truncation\\”)\\n \\n # Show file statistics\\n if os.path.exists(saved_file):\\n file_size = os.path.getsize(saved_file)\\n print(f\\”\ud83d\udccf Report size: {file_size:,} bytes ({file_size\/1024:.1f} KB)\\”)\\n \\n with open(saved_file, ‘r’, encoding=’utf-8′) as f:\\n lines = f.readlines()\\n print(f\\”\ud83d\udcdd Total lines: {len(lines):,}\\”)\\n except Exception as e:\\n print(f\\”\\\\n\u26a0\ufe0f Could not save complete report: {e}\\”)\\n \\n async def scan_multiple_complete(self, urls):\\n \\”\\”\\”Scan multiple URLs with COMPLETE analysis\\”\\”\\”\\n print(f\\”\\\\n\ud83d\ude80 \ud83d\ude80 \ud83d\ude80 Starting COMPLETE scan of {len(urls)} URLs…\\”)\\n print(f\\”\u23f0 Start time: {datetime.now().strftime(‘%H:%M:%S’)}\\”)\\n \\n results = []\\n for i, url in enumerate(urls, 1):\\n print(f\\”\\\\n{‘=’*80}\\”)\\n print(f\\”[{i}\/{len(urls)}] \ud83d\udd0d Scanning: {url}\\”)\\n print(f\\”{‘=’*80}\\”)\\n \\n result = await self.scan_url(url)\\n results.append(result)\\n self.display_result_complete(result)\\n \\n # Delay between requests\\n if i \\u003c len(urls):\\n delay = 2 if i % 5 == 0 else 1\\n print(f\\”\\\\n\u23f3 Waiting {delay} second before next scan…\\”)\\n await asyncio.sleep(delay)\\n \\n # Generate COMPLETE report\\n self.generate_complete_report(results)\\n \\n return results\\n \\n def generate_complete_report(self, results, filename=\\”cloudbleed_complete_master_report.json\\”):\\n \\”\\”\\”Generate COMPLETE master report\\”\\”\\”\\n print(f\\”\\\\n\ud83d\udcca \ud83d\udcca \ud83d\udcca GENERATING COMPLETE MASTER REPORT \ud83d\udcca \ud83d\udcca \ud83d\udcca\\”)\\n \\n report = {\\n ‘scan_date’: datetime.now().isoformat(),\\n ‘scan_version’: ‘4.0-COMPLETE’,\\n ‘total_scans’: len(results),\\n ‘successful_scans’: len([r for r in results if r.get(‘success’, False)]),\\n ‘failed_scans’: len([r for r in results if not r.get(‘success’, False)]),\\n ‘results’: results\\n }\\n \\n # COMPLETE Statistics\\n stats = {\\n ‘cloudflare_sites’: 0,\\n ‘sensitive_data_sites’: 0,\\n ‘memory_leak_sites’: 0,\\n ‘critical_risk_sites’: 0,\\n ‘high_risk_sites’: 0,\\n ‘medium_risk_sites’: 0,\\n ‘low_risk_sites’: 0,\\n ‘total_memory_patterns’: 0,\\n ‘total_sensitive_items’: 0,\\n ‘sites_with_cloudbleed_risk’: 0\\n }\\n \\n for result in results:\\n if result.get(‘success’):\\n findings = result.get(‘findings’, {})\\n \\n if findings.get(‘cloudflare’, {}).get(‘detected’):\\n stats[‘cloudflare_sites’] += 1\\n \\n if findings.get(‘sensitive_data’):\\n sensitive_count = sum(len(items) for items in findings[‘sensitive_data’].values())\\n stats[‘total_sensitive_items’] += sensitive_count\\n stats[‘sensitive_data_sites’] += 1\\n \\n security = findings.get(‘security’, {})\\n if security.get(‘memory_patterns’):\\n pattern_count = len(security[‘memory_patterns’])\\n stats[‘total_memory_patterns’] += pattern_count\\n stats[‘memory_leak_sites’] += 1\\n \\n # Risk level classification\\n risk_level = security.get(‘risk_level’, ‘low’)\\n if risk_level == ‘critical’:\\n stats[‘critical_risk_sites’] += 1\\n elif risk_level == ‘high’:\\n stats[‘high_risk_sites’] += 1\\n elif risk_level == ‘medium’:\\n stats[‘medium_risk_sites’] += 1\\n else:\\n stats[‘low_risk_sites’] += 1\\n \\n # Cloudbleed-specific risk\\n fingerprint = result.get(‘fingerprint’, {})\\n if fingerprint.get(‘cdn’) == ‘Cloudflare’ and (findings.get(‘sensitive_data’) or security.get(‘memory_patterns’)):\\n stats[‘sites_with_cloudbleed_risk’] += 1\\n \\n report[‘statistics’] = stats\\n \\n # Save COMPLETE report\\n with open(filename, ‘w’, encoding=’utf-8′, errors=’replace’) as f:\\n json.dump(report, f, indent=2, ensure_ascii=False, default=str)\\n \\n print(f\\”\\\\n\ud83d\udcbe \ud83d\udcbe \ud83d\udcbe COMPLETE MASTER REPORT SAVED TO: {filename}\\”)\\n \\n # Display COMPLETE statistics\\n print(f\\”\\\\n\ud83d\udcca \ud83d\udcca \ud83d\udcca CLOUDBLEED SCAN STATISTICS \ud83d\udcca \ud83d\udcca \ud83d\udcca\\”)\\n print(f\\”{‘=’*80}\\”)\\n print(f\\”Total URLs Scanned: {stats[‘cloudflare_sites’] + stats[‘sensitive_data_sites’] + stats[‘memory_leak_sites’] + stats[‘critical_risk_sites’] + stats[‘high_risk_sites’] + stats[‘medium_risk_sites’] + stats[‘low_risk_sites’]}\\”)\\n print(f\\”Cloudflare Sites: {stats[‘cloudflare_sites’]}\\”)\\n print(f\\”Sites with Sensitive Data: {stats[‘sensitive_data_sites’]} ({stats[‘total_sensitive_items’]} items)\\”)\\n print(f\\”Sites with Memory Leak Patterns: {stats[‘memory_leak_sites’]} ({stats[‘total_memory_patterns’]} patterns)\\”)\\n print(f\\”Sites with Cloudbleed Risk: {stats[‘sites_with_cloudbleed_risk’]}\\”)\\n print(f\\”\\\\nRisk Distribution:\\”)\\n print(f\\” \u2022 Critical Risk: {stats[‘critical_risk_sites’]}\\”)\\n print(f\\” \u2022 High Risk: {stats[‘high_risk_sites’]}\\”)\\n print(f\\” \u2022 Medium Risk: {stats[‘medium_risk_sites’]}\\”)\\n print(f\\” \u2022 Low Risk: {stats[‘low_risk_sites’]}\\”)\\n print(f\\”{‘=’*80}\\”)\\n \\n return report\\n \\n async def main_complete():\\n \\”\\”\\”Main function for COMPLETE scanner\\”\\”\\”\\n print(\\”\\”\\”\\n \u2554\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2557\\n \u2551 CLOUDBLEED SCANNER v4.0 – COMPLETE EDITION \u2551\\n \u2551 Cloudflare Memory Leak Detection – SHOWS ALL DATA \u2551\\n \u2551 NO TRUNCATION – COMPLETE INFORMATION DISPLAY \u2551\\n \u255a\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u255d\\n \\”\\”\\”)\\n \\n print(\\”\u26a0\ufe0f \u26a0\ufe0f \u26a0\ufe0f WARNING: Use only for authorized security testing!\\”)\\n print(\\” Unauthorized scanning is illegal in most countries.\\\\n\\”)\\n print(\\”\ud83d\udd0d This version shows ALL data with NO truncation\\”)\\n print(\\”\ud83d\udcc4 Complete reports are saved for full analysis\\\\n\\”)\\n \\n scanner = CompleteCloudbleedScanner(\\n enable_cache=True,\\n enable_intelligence=True\\n )\\n \\n while True:\\n try:\\n print(\\”\\\\n\\” + \\”=\\”*70)\\n print(\\”\ud83d\udccb \ud83d\udccb \ud83d\udccb COMPLETE SCANNER OPTIONS \ud83d\udccb \ud83d\udccb \ud83d\udccb\\”)\\n print(\\”=\\”*70)\\n print(\\” 1. \ud83d\udd0d Scan single URL (COMPLETE analysis)\\”)\\n print(\\” 2. \ud83d\udcc1 Scan multiple URLs from file\\”)\\n print(\\” 3. \ud83e\uddea Test scan with predefined URLs\\”)\\n print(\\” 4. \ud83d\uddd1\ufe0f Clear cache\\”)\\n print(\\” 5. \ud83d\udcca Show statistics\\”)\\n print(\\” 6. \ud83d\udeaa Exit\\”)\\n print(\\”=\\”*70)\\n \\n choice = input(\\”\\\\nEnter choice (1-6): \\”).strip()\\n \\n if choice == ‘1’:\\n url = input(\\”\\\\n\ud83c\udf10 Enter URL to scan (COMPLETE analysis): \\”).strip()\\n if not url:\\n print(\\”\u274c URL cannot be empty!\\”)\\n continue\\n \\n if not url.startswith((‘http:\/\/’, ‘https:\/\/’)):\\n url = ‘https:\/\/’ + url\\n print(f\\”\u2139\ufe0f Added https:\/\/ automatically: {url}\\”)\\n \\n print(f\\”\\\\n\ud83d\udd0d Starting COMPLETE scan of: {url}\\”)\\n result = await scanner.scan_url(url)\\n scanner.display_result_complete(result)\\n \\n elif choice == ‘2’:\\n filename = input(\\”\\\\n\ud83d\udcc1 Enter filename with URLs (one per line): \\”).strip()\\n \\n try:\\n with open(filename, ‘r’, encoding=’utf-8′) as f:\\n urls = [line.strip() for line in f if line.strip()]\\n \\n if not urls:\\n print(\\”\u274c File is empty or contains no URLs!\\”)\\n continue\\n \\n print(f\\”\ud83d\udcca Found {len(urls)} URLs in file\\”)\\n print(f\\”\ud83d\udcdd Sample URLs:\\”)\\n for url in urls[:3]:\\n print(f\\” \u2022 {url}\\”)\\n if len(urls) \\u003e 3:\\n print(f\\” … and {len(urls) – 3} more\\”)\\n \\n confirm = input(\\”\\\\n\u26a0\ufe0f \u26a0\ufe0f \u26a0\ufe0f Start COMPLETE scanning of ALL URLs? (yes\/no): \\”).strip().lower()\\n \\n if confirm in [‘yes’, ‘y’, ”]:\\n print(f\\”\\\\n\ud83d\ude80 Starting COMPLETE scan of {len(urls)} URLs…\\”)\\n await scanner.scan_multiple_complete(urls)\\n else:\\n print(\\”\u274c Scan cancelled\\”)\\n \\n except FileNotFoundError:\\n print(f\\”\u274c File {filename} not found!\\”)\\n except Exception as e:\\n print(f\\”\u274c Error reading file: {e}\\”)\\n \\n elif choice == ‘3’:\\n test_urls = [\\n ‘https:\/\/httpbin.org\/headers’,\\n ‘https:\/\/httpbin.org\/html’,\\n ‘https:\/\/example.com’,\\n ‘https:\/\/httpbin.org\/status\/200’,\\n ‘https:\/\/httpbin.org\/json’\\n ]\\n \\n print(f\\”\\\\n\ud83e\uddea Testing with {len(test_urls)} predefined URLs…\\”)\\n print(\\”\u2139\ufe0f These are public test URLs for demonstration\\”)\\n \\n confirm = input(\\”\\\\nStart test scan? (yes\/no): \\”).strip().lower()\\n \\n if confirm in [‘yes’, ‘y’, ”]:\\n for url in test_urls:\\n result = await scanner.scan_url(url)\\n scanner.display_result_complete(result)\\n await asyncio.sleep(1)\\n else:\\n print(\\”\u274c Test cancelled\\”)\\n \\n elif choice == ‘4’:\\n if os.path.exists(\\”.cache\\”):\\n import shutil\\n shutil.rmtree(\\”.cache\\”)\\n print(\\”\u2705 Cache cleared successfully\\”)\\n else:\\n print(\\”\u2139\ufe0f No cache directory found\\”)\\n \\n elif choice == ‘5’:\\n print(\\”\\\\n\ud83d\udcca \ud83d\udcca \ud83d\udcca SCANNER STATISTICS \ud83d\udcca \ud83d\udcca \ud83d\udcca\\”)\\n print(\\”=\\”*60)\\n if os.path.exists(\\”.cache\\”):\\n cache_size = sum(f.stat().st_size for f in Path(\\”.cache\\”).rglob(‘*’) if f.is_file())\\n print(f\\”Cache size: {cache_size:,} bytes ({cache_size\/1024\/1024:.2f} MB)\\”)\\n else:\\n print(\\”Cache: Not initialized\\”)\\n print(\\”=\\”*60)\\n \\n elif choice == ‘6’:\\n print(\\”\\\\n\ud83d\udc4b \ud83d\udc4b \ud83d\udc4b Goodbye! \ud83d\udc4b \ud83d\udc4b \ud83d\udc4b\\”)\\n break\\n \\n else:\\n print(f\\”\u274c Invalid choice: {choice}\\”)\\n \\n except KeyboardInterrupt:\\n print(\\”\\\\n\\\\n\u26a0\ufe0f Scan interrupted by user\\”)\\n break\\n except Exception as e:\\n print(f\\”\\\\n\u274c Unexpected error: {e}\\”)\\n import traceback\\n traceback.print_exc()\\n \\n if __name__ == \\”__main__\\”:\\n # Windows compatibility\\n if sys.platform == ‘win32’:\\n asyncio.set_event_loop_policy(asyncio.WindowsSelectorEventLoopPolicy())\\n \\n try:\\n asyncio.run(main_complete())\\n except KeyboardInterrupt:\\n print(\\”\\\\n\\\\n\ud83d\udc4b Exiting…\\”)\\n sys.exit(0)\\n except Exception as e:\\n print(f\\”\\\\n\ud83d\udca5 Critical error: {e}\\”)\\n import traceback\\n traceback.print_exc()\\n sys.exit(1)\\n Greetings to :=====================================================================================\\n jericho * Larry W. Cashdollar * LiquidWorm * Hussin-X * D4NB4R * Malvuln (John Page aka hyp3rlinx)|\\n ===================================================================================================”,”sourceHref”:”https:\/\/packetstorm.news\/download\/212603″,”cvss”:{“score”:0,”severity”:”NONE”,”vector”:”NONE”,”version”:”NONE”},”cvss2″:{},”cvss3″:{“version”:””,”vectorString”:””,”baseScore”:0,”baseSeverity”:””,”attackVector”:””,”attackComplexity”:””,”privilegesRequired”:””,”userInteraction”:””,”scope”:””,”confidentialityImpact”:””,”integrityImpact”:””,”availabilityImpact”:””,”cvssV3″:{“version”:””,”vectorString”:””,”baseScore”:0,”baseSeverity”:””,”attackVector”:””,”attackComplexity”:””,”privilegesRequired”:””,”userInteraction”:””,”scope”:””,”confidentialityImpact”:””,”integrityImpact”:””,”availabilityImpact”:””}},”href”:”https:\/\/packetstorm.news\/files\/id\/212603\/”,”category_name”:”Exploit”,”post_link”:””,”product”:””,”version”:””,”vendor”:””,”ai_description”:””,”ai_severity”:””,”ai_vendor”:””,”ai_product”:””,”ai_version”:””,”ai_score”:0}<\/p>\n","protected":false},"excerpt":{"rendered":"
{“lastseen”:”2025-12-09T17:45:14″,”description”:”Cloudbleed Scanner is a comprehensive security tool designed to detect memory leak patterns similar to the 2017 Cloudbleed incident, where Cloudflare’s reverse proxies leaked uninitialized…<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[6,8,12,13,33,53,7,11,5],"class_list":["post-29729","post","type-post","status-publish","format-standard","hentry","category-category_exploit","tag-cve","tag-cvss","tag-exploit","tag-news","tag-none","tag-packetstorm","tag-security","tag-tapic","tag-vulnerability"],"yoast_head":"\n