𝘼𝙗𝙝𝙞𝙜𝙮𝙖𝙣 𝙏𝙤𝙤𝙡𝙨 𝙇𝙖𝙗 - Telegram 频道 @abhigyan

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sticker.webp0.17 KB

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Kya hai ye batao koi ?

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inline_content = "\n".join(s.string for s in BeautifulSoup(html, 'html.parser').find_all('script') if s.string) if inline_content: findings = analyze_content(inline_content, "INLINE_SCRIPTS") per_file["INLINE_SCRIPTS"] = findings for k, v in findings.items(): all_findings.setdefault(k, set()).update(v) # Analyze each downloaded file for filepath, content, url in downloaded_files: filename = os.path.basename(filepath) print(f"{C.W}Analyzing: {filename}...{C.END}") findings = analyze_content(content, filename) per_file[filename] = findings # Merge into global for k, v in findings.items(): all_findings.setdefault(k, set()).update(v) # Print file summary if findings: total = sum(len(v) for v in findings.values()) print(f" {C.G}✓ {total} findings{C.END}") # Convert sets to sorted lists all_findings = {k: sorted(v) for k, v in all_findings.items()} # ========== STEP 5: PRINT FULL REPORT ========== print_report(all_findings, js_urls, output_dir, target_url) # ========== STEP 6: SAVE REPORT ========== print_section("💾 STEP 6: Saving Report") report_path = save_report(all_findings, js_urls, output_dir, target_url) print(f"{C.G}[+] Report saved: {report_path}{C.END}") print(f"{C.G}[+] JS files saved: {output_dir}/{C.END}") # ========== STEP 7: EXTRACT FUNCTION CODE ========== print_section("⚙️ STEP 7: Crypto Functions Code") crypto_keywords = ['encrypt', 'decrypt', 'cipher', 'hash', 'sign'] function_count = 0 for filepath, content, url in downloaded_files: # Find crypto functions func_pattern = r'function\s+(\w*(?:' + '|'.join(crypto_keywords) + r')\w*)\s*$[^)]*$\s*\{' for m in re.finditer(func_pattern, content, re.IGNORECASE): func_name = m.group(1) code = extract_function_code(content, func_name) if code and function_count < 10: print(f"\n{C.Y}📄 File: {os.path.basename(filepath)}{C.END}") print(f"{C.CY}Function: {func_name}{C.END}") print(f"{C.W}{code[:800]}{C.END}") if len(code) > 800: print(f"{C.Y}... (truncated){C.END}") function_count += 1 if function_count == 0: print(f"{C.Y}[!] No crypto functions found{C.END}") # ========== FINAL ========== print_section("✅ ANALYSIS COMPLETE", C.G) print(f""" {C.G}✓ Total JS files: {len(js_urls)} {C.G}✓ Downloaded: {len(downloaded_files)} {C.G}✓ Report: {report_path} {C.G}✓ JS folder: {output_dir}/{C.END} """) # Summary of what was found print(f"{C.Y}{C.BOLD}📊 QUICK SUMMARY:{C.END}") for category in ["AES_KEY", "SECRET_KEY", "API_KEY", "PUBLIC_KEY", "API_ENDPOINTS", "CRYPTO_FUNCTIONS", "SALT"]: if category in all_findings: count = len(all_findings[category]) print(f" {C.G}• {category}: {count} found{C.END}") if name == "main": try: import urllib3 urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning) except: pass try: main() except KeyboardInterrupt: print(f"\n{C.Y}[!] Interrupted by user{C.END}") except Exception as e: print(f"\n{C.R}[!] Error: {e}{C.END}") import traceback traceback.print_exc() `

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def save_report(all_findings, js_files, output_dir, target_url): """Save detailed report to file""" report_path = os.path.join(output_dir, "_ANALYSIS_REPORT.txt") with open(report_path, 'w', encoding='utf-8') as f: f.write("="*70 + "\n") f.write(" UNIVERSAL JS ANALYZER - FULL REPORT\n") f.write("="*70 + "\n\n") f.write(f"Target URL: {target_url}\n") f.write(f"Analysis Time: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n") f.write(f"JS Files Analyzed: {len(js_files)}\n\n") f.write("="*70 + "\n") f.write(" ALL FINDINGS\n") f.write("="*70 + "\n\n") for category, values in all_findings.items(): if category == "_global": continue if values: f.write(f"\n[{category}] ({len(values)} found)\n") f.write("-"*70 + "\n") for v in values: f.write(f" • {v}\n") f.write("\n\n" + "="*70 + "\n") f.write(" JS FILES LIST\n") f.write("="*70 + "\n\n") for url in js_files: f.write(f" {url}\n") return report_path # ==================== MAIN ==================== def main(): print_banner() # ========== GET URL ========== target_url = input(f"\n{C.Y}🌐 Enter website URL: {C.END}").strip() if not target_url: print(f"{C.R}[!] URL required!{C.END}") return target_url = normalize_url(target_url) # Create output directory domain = urlparse(target_url).netloc.replace(':', '_') output_dir = f"js_analysis_{domain}_{datetime.now().strftime('%Y%m%d_%H%M%S')}" os.makedirs(output_dir, exist_ok=True) print(f"\n{C.G}[+] Target: {target_url}{C.END}") print(f"{C.G}[+] Output: {output_dir}/{C.END}") # ========== STEP 1: FETCH PAGE ========== print_section("📥 STEP 1: Fetching Main Page") html = get_page(target_url) if not html: print(f"{C.R}[!] Failed to fetch page{C.END}") return print(f"{C.G}[+] Page fetched: {len(html)} bytes{C.END}") # ========== STEP 2: EXTRACT JS URLS ========== print_section("🔗 STEP 2: Extracting JS URLs") js_urls = extract_js_urls(html, target_url) print(f"{C.G}[+] Found {len(js_urls)} JS files{C.END}") if not js_urls: print(f"{C.Y}[!] No JS files found. Website might use inline JS.{C.END}") # Still analyze inline scripts soup = BeautifulSoup(html, 'html.parser') inline = "\n".join(s.string for s in soup.find_all('script') if s.string) if inline: print(f"{C.G}[+] Analyzing {len(inline)} bytes of inline JS{C.END}") # Limit js_urls = js_urls[:MAX_FILES] for i, url in enumerate(js_urls[:20], 1): print(f" {C.W}{i}. {url}{C.END}") if len(js_urls) > 20: print(f" {C.Y}... and {len(js_urls)-20} more{C.END}") # ========== STEP 3: DOWNLOAD JS ========== print_section("⬇️ STEP 3: Downloading JS Files") downloaded_files = [] for i, js_url in enumerate(js_urls, 1): print(f"{C.W}[{i}/{len(js_urls)}] {os.path.basename(js_url)[:60]}{C.END}") filepath, content = download_js(js_url, output_dir) if filepath and content: downloaded_files.append((filepath, content, js_url)) print(f" {C.G}✓ {len(content)} bytes{C.END}") print(f"\n{C.G}[+] Downloaded {len(downloaded_files)} files{C.END}") # ========== STEP 4: ANALYZE ========== print_section("🔍 STEP 4: Analyzing for Keys & Secrets") all_findings = {} # Global findings (combined) per_file = {} # Per-file findings # Analyze inline scripts first if js_urls == []:

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else: val = m # Clean value val = val.strip() if 3 < len(val) < 5000: matches.add(val) except re.error: continue if matches: findings[category] = sorted(matches) return findings def extract_function_code(content, func_name): """Extract function body""" # Different patterns patterns = [ rf'function\s+{re.escape(func_name)}\s*$[^)]*$\s*\{{([\s\S]{{0,2000}}?)\n\}}', rf'{re.escape(func_name)}\s*[:=]\s*(?:async\s*)?(?:function\s*)?$[^)]*$\s*(?:=>)?\s*\{{([\s\S]{{0,2000}}?)\n\}}', ] for pattern in patterns: m = re.search(pattern, content) if m: return m.group(0)[:1500] return None # ==================== REPORT ==================== def print_report(all_findings, js_files, output_dir, target_url): """Print full report""" print_section("📊 FINAL REPORT", C.M) print(f"\n{C.W}Target: {C.Y}{target_url}{C.END}") print(f"{C.W}JS Files: {C.Y}{len(js_files)}{C.END}") print(f"{C.W}Saved to: {C.Y}{output_dir}/{C.END}") print(f"{C.W}Time: {C.Y}{datetime.now().strftime('%Y-%m-%d %H:%M:%S')}{C.END}") # ========== GROUP BY CATEGORY ========== categories = { "🔐 ENCRYPTION KEYS": [ "AES_KEY", "AES_IV", "SECRET_KEY", "SECRET_CODE", "ENCRYPTION_KEY", "HMAC_KEY", "SALT" ], "🔑 API KEYS & TOKENS": [ "API_KEY", "ACCESS_TOKEN", "BEARER_TOKEN", "JWT_SECRET" ], "🔏 RSA KEYS": [ "PUBLIC_KEY", "PRIVATE_KEY", "BASIC_AUTH" ], "🌐 API ENDPOINTS": [ "API_ENDPOINTS", "FULL_URLS", "WEBSOCKET_URLS" ], "⚙️ CRYPTO FUNCTIONS": [ "CRYPTO_FUNCTIONS", "CRYPTOJS_USAGE", "AES_USAGE", "RSA_USAGE", "PBKDF2_USAGE", "BASE64_USAGE" ], "👤 CREDENTIALS": [ "USERNAME", "PASSWORD" ], "🔍 THIRD-PARTY KEYS": [ "GITHUB_TOKENS", "GOOGLE_API_KEY", "FIREBASE_URL", "AWS_KEY", "STRIPE_KEY", "TWILIO_KEY", "SENDGRID_KEY", "SLACK_TOKEN" ], "📞 OTHER": [ "EMAIL", "PHONE", "IP_ADDRESS", "AADHAAR_LIKE" ], } for group_name, group_keys in categories.items(): group_has_data = False for key in group_keys: if key in all_findings and all_findings[key]: if not group_has_data: print_section(group_name, C.CY) group_has_data = True values = all_findings[key] print(f"\n{C.Y}{C.BOLD}[{key}]{C.END} ({len(values)} found)") for i, val in enumerate(values[:15]): # Max 15 per category # Truncate long values display = val if len(val) <= 150 else val[:150] + "..." # Color based on type if 'KEY' in key or 'SECRET' in key or 'TOKEN' in key: color = C.R elif 'URL' in key or 'ENDPOINT' in key: color = C.B else: color = C.G print(f" {color}→ {display}{C.END}") if len(values) > 15: print(f" {C.Y}... and {len(values)-15} more{C.END}") # ========== FILE-WISE BREAKDOWN ========== print_section("📁 PER-FILE BREAKDOWN", C.CY) for fname, findings in all_findings.items(): if fname == "_global": continue total = sum(len(v) for v in findings.values()) if total > 0: print(f"\n{C.W}📄 {fname}{C.END}") for key, vals in findings.items(): if vals: print(f" {C.G}• {key}: {len(vals)} found{C.END}")

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def decode_base64_safely(s): """Safely decode base64""" try: if len(s) % 4: s += '=' * (4 - len(s) % 4) decoded = base64.b64decode(s) return decoded.decode('utf-8', errors='ignore') except: return None def is_js_url(url): """Check if URL is a JS file""" parsed = urlparse(url) path = parsed.path.lower() return path.endswith('.js') or path.endswith('.mjs') or 'javascript' in path def normalize_url(url): """Add https:// if missing""" if not url.startswith(('http://', 'https://')): url = 'https://' + url return url # ==================== FETCH & EXTRACT ==================== def get_page(url): """Fetch main page""" try: r = requests.get(url, headers=HEADERS, timeout=30, verify=False) return r.text except Exception as e: print(f"{C.R}[!] Failed to fetch page: {e}{C.END}") return None def extract_js_urls(html, base_url): """Extract all JS URLs from HTML""" soup = BeautifulSoup(html, 'html.parser') js_urls = set() # <script src="..."> for script in soup.find_all('script', src=True): js_urls.add(urljoin(base_url, script['src'])) # Inline scripts se bhi URLs for script in soup.find_all('script'): if script.string: # Relative URLs for m in re.findall(r'["\']([^"\']*\.js(?:\?[^"\']*)?)["\']', script.string): js_urls.add(urljoin(base_url, m)) # Absolute URLs for m in re.findall(r'["\'](https?://[^"\']+\.js(?:\?[^"\']*)?)["\']', script.string): js_urls.add(m) # <link rel="modulepreload" href="..."> for link in soup.find_all('link'): href = link.get('href', '') if href.endswith('.js') or href.endswith('.mjs'): js_urls.add(urljoin(base_url, href)) # Filter only valid JS js_urls = {u for u in js_urls if is_js_url(u)} return list(js_urls) def download_js(js_url, output_dir): """Download JS file""" try: filename = os.path.basename(urlparse(js_url).path) or "script.js" # Remove query string from filename if '?' in filename: filename = filename.split('?')[0] filepath = os.path.join(output_dir, filename) # Check if already downloaded if os.path.exists(filepath): with open(filepath, 'r', encoding='utf-8', errors='ignore') as f: return filepath, f.read() r = requests.get(js_url, headers=HEADERS, timeout=DOWNLOAD_TIMEOUT, verify=False, stream=True) if r.status_code != 200: return None, None # Size check content_length = int(r.headers.get('Content-Length', 0)) if content_length > MAX_JS_SIZE: print(f"{C.Y} [skip] Too large ({content_length} bytes): {filename}{C.END}") return None, None content = r.content if len(content) > MAX_JS_SIZE: return None, None with open(filepath, 'wb') as f: f.write(content) return filepath, content.decode('utf-8', errors='ignore') except Exception as e: print(f"{C.R} [err] {js_url}: {str(e)[:100]}{C.END}") return None, None # ==================== ANALYSIS ==================== def analyze_content(content, filename): """Analyze JS content for all patterns""" findings = {} for category, patterns in SEARCH_PATTERNS.items(): matches = set() for pattern in patterns: try: for m in re.finditer(pattern, content, re.IGNORECASE | re.DOTALL): if isinstance(m, re.Match): val = m.group(1) if m.groups() else m.group(0)

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"API_ENDPOINTS": [ r'["\']((?:https?://)?[a-zA-Z0-9\-\.]+/(?:api|v\d|rest|graphql)/[^"\'\s]{3,100})["\']', r'["\'](/api/[^"\'\s]{3,100})["\']', r'["\'](/v\d/[^"\'\s]{3,100})["\']', r'["\'](/[a-z\-]+/api/[^"\'\s]{3,100})["\']', ], "FULL_URLS": [ r'["\'](https?://[a-zA-Z0-9\-\._/]+(?:\?[^"\'\s]*)?)["\']', ], "WEBSOCKET_URLS": [ r'["\'](wss?://[a-zA-Z0-9\-\._/:]+)["\']', ], # ========== CRYPTO FUNCTIONS ========== "CRYPTO_FUNCTIONS": [ r'function\s+(\w*(?:encrypt|decrypt|cipher|hash|sign|verify)\w*)\s*$[^)]*$\s*\{[^}]{0,2000}\}', r'(\w*(?:encrypt|decrypt)\w*)\s*[:=]\s*(?:async\s*)?(?:function\s*)?$[^)]*$\s*(?:=>)?\s*\{[^}]{0,2000}\}', ], "CRYPTOJS_USAGE": [ r'CryptoJS\.(\w+)\.(encrypt|decrypt|hash|sign)\s*$[^)]{0,200}$', r'(?:CryptoJS|crypto)\.(AES|DES|TripleDES|RC4|SHA256|SHA1|MD5|HmacSHA256)', ], "BASE64_USAGE": [ r'\b(?:atob|btoa)\s*$[^)]{0,200}$', ], "PBKDF2_USAGE": [ r'PBKDF2\s*$[^)]{0,200}$[^;]{0,300}', ], "AES_USAGE": [ r'\.AES\.(?:encrypt|decrypt)\s*$[^)]{0,300}$', ], "RSA_USAGE": [ r'\.(?:RSA|PublicKey|PrivateKey)\.(?:encrypt|decrypt|sign|verify)\s*$[^)]{0,300}$', ], # ========== CREDENTIALS ========== "USERNAME": [ r'(?:username|userName|USERNAME|user_name)\s*[:=]\s*["\']([^"\']{3,64})["\']', ], "PASSWORD": [ r'(?:password|passwd|pwd|PASSWORD)\s*[:=]\s*["\']([^"\']{4,64})["\']', ], # ========== INTERESTING ========== "GITHUB_TOKENS": [ r'gh[pousr]_[A-Za-z0-9]{36,255}', ], "GOOGLE_API_KEY": [ r'AIza[0-9A-Za-z\-_]{35}', ], "FIREBASE_URL": [ r'https://[a-z0-9\-]+\.firebaseio\.com', r'https://[a-z0-9\-]+\.firebaseapp\.com', ], "AWS_KEY": [ r'AKIA[0-9A-Z]{16}', ], "STRIPE_KEY": [ r'sk_live_[0-9a-zA-Z]{24,}', r'pk_live_[0-9a-zA-Z]{24,}', ], "TWILIO_KEY": [ r'SK[0-9a-fA-F]{32}', ], "SENDGRID_KEY": [ r'SG\.[A-Za-z0-9_\-]{22}\.[A-Za-z0-9_\-]{43}', ], "SLACK_TOKEN": [ r'xox[baprs]-[0-9A-Za-z\-]{10,}', ], "IP_ADDRESS": [ r'\b(?:(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)\.){3}(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)\b', ], "EMAIL": [ r'[a-zA-Z0-9._%+\-]+@[a-zA-Z0-9.\-]+\.[a-zA-Z]{2,}', ], "PHONE": [ r'(?:\+91[\-\s]?)?[6-9]\d{9}\b', ], "AADHAAR_LIKE": [ r'\b[2-9]\d{3}\s?\d{4}\s?\d{4}\b', ], } # ==================== UTILITY FUNCTIONS ==================== def print_banner(): print(f"""{C.CY}{C.BOLD} ╔══════════════════════════════════════════════════════════════════╗ ║ 🔍 UNIVERSAL JS ANALYZER 🔍 ║ ║ ║ ║ Website URL do aur ye script: ║ ║ ✓ Saari JS files download karegi ║ ║ ✓ Encryption keys nikaalegi ║ ║ ✓ API endpoints dhundhegi ║ ║ ✓ Crypto functions dikhayegi ║ ║ ✓ Full report dega ║ ╚══════════════════════════════════════════════════════════════════╝ {C.END}""") def print_section(title, color=C.CY): width = 70 print(f"\n{color}{C.BOLD}{'='*width}{C.END}") print(f"{color}{C.BOLD} {title}{C.END}") print(f"{color}{C.BOLD}{'='*width}{C.END}") def print_finding(label, value, color=C.G): """Print a single finding with truncation""" display = value if len(value) <= 200 else value[:200] + "..." print(f" {color}[+] {label}{C.END}") print(f" {C.W}{display}{C.END}")

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`╔══════════════════════════════════════════════════════════════════╗ ║ UNIVERSAL JS ANALYZER - By Abhigyan ║ ║ ║ ║ Run karo, website URL do, aur ye script: ║ ║ ✓ Saari JS files download karegi ║ ║ ✓ Encryption keys nikaalegi (AES, RSA, HMAC, etc.) ║ ║ ✓ API endpoints dhundhegi ║ ║ ✓ Crypto functions ka code dikhayegi ║ ║ ✓ Secrets, salts, tokens extract karegi ║ ║ ✓ Full report console me print karegi ║ ╚══════════════════════════════════════════════════════════════════╝ """ import requests import re import os import json import base64 from urllib.parse import urljoin, urlparse from datetime import datetime try: from bs4 import BeautifulSoup except ImportError: print("[!] Installing beautifulsoup4...") os.system("pip install beautifulsoup4") from bs4 import BeautifulSoup # ==================== COLORS (ANSI) ==================== class C: R = '\033[91m' # Red G = '\033[92m' # Green Y = '\033[93m' # Yellow B = '\033[94m' # Blue M = '\033[95m' # Magenta CY = '\033[96m' # Cyan W = '\033[97m' # White BOLD = '\033[1m' END = '\033[0m' # ==================== CONFIG ==================== USER_AGENT = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36" HEADERS = { "User-Agent": USER_AGENT, "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8", "Accept-Language": "en-US,en;q=0.9", "Connection": "keep-alive", } DOWNLOAD_TIMEOUT = 30 MAX_JS_SIZE = 20 * 1024 * 1024 # 20 MB per file MAX_FILES = 200 # ==================== SEARCH PATTERNS ==================== SEARCH_PATTERNS = { # ========== ENCRYPTION KEYS ========== "AES_KEY": [ r'(?:AES_KEY|aesKey|AesKey|AESKEY)\s*[:=]\s*["\']([A-Za-z0-9+/=_\-]{16,64})["\']', r'(?:AES_KEY|aesKey)\s*[:=]\s*[`"\']([^`"\']{16,64})[`"\']', ], "AES_IV": [ r'(?:AES_IV|aesIv|AesIV|iv|IV)\s*[:=]\s*["\']([A-Za-z0-9+/=]{16})["\']', ], "SECRET_KEY": [ r'(?:SECRET_KEY|secretKey|SecretKey|secret_key)\s*[:=]\s*["\']([^"\']{8,128})["\']', ], "SECRET_CODE": [ r'(?:SECRET_CODE|secretCode|SecretCode)\s*[:=]\s*["\']([^"\']{8,128})["\']', ], "API_KEY": [ r'(?:API_KEY|apiKey|ApiKey|api_key|apikey)\s*[:=]\s*["\']([A-Za-z0-9_\-]{16,128})["\']', ], "ACCESS_TOKEN": [ r'(?:ACCESS_TOKEN|accessToken|access_token)\s*[:=]\s*["\']([A-Za-z0-9_\-\.]{20,})["\']', ], "BEARER_TOKEN": [ r'(?:BEARER|bearer|Bearer)\s*[:=]\s*["\']([A-Za-z0-9_\-\.]{20,})["\']', ], "JWT_SECRET": [ r'(?:JWT_SECRET|jwtSecret|JWT_KEY|jwtKey)\s*[:=]\s*["\']([^"\']{8,128})["\']', ], "SALT": [ r'(?:salt|SALT|Sault|SAULT|saltValue|salt_value)\s*[:=]\s*["\']([^"\']{4,128})["\']', ], "PRIVATE_KEY": [ r'-----BEGIN (?:RSA |EC |DSA )?PRIVATE KEY-----[\s\S]{100,3000}?-----END (?:RSA |EC |DSA )?PRIVATE KEY-----', ], "PUBLIC_KEY": [ r'-----BEGIN PUBLIC KEY-----[\s\S]{100,3000}?-----END PUBLIC KEY-----', ], "HMAC_KEY": [ r'(?:HMAC|hmac|HMAC_KEY)\s*[:=]\s*["\']([A-Za-z0-9+/=]{16,128})["\']', ], "ENCRYPTION_KEY": [ r'(?:ENCRYPTION_KEY|encryptionKey|encryption_key)\s*[:=]\s*["\']([A-Za-z0-9+/=_\-]{16,128})["\']', ], "SECRET_KEY_GENERIC": [ r'(?:secret|Secret)\s*[:=]\s*["\']([A-Za-z0-9+/=_\-#@!$%^&*]{8,128})["\']', ], "BASIC_AUTH": [ r'Basic\s+([A-Za-z0-9+/=]{20,})', ], # ========== API ENDPOINTS ==========

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IMEI INFO SRC

import re
import requests
from flask import Flask, request, jsonify

app = Flask(name)

ENDPOINT = "https://dash.imei.info/api/check/0/"
API_KEY = "f43f0d0c-27b0-408a-abd0-585fabea6adf"
TIMEOUT = 25


def sanitize(imei: str) -> str:
    return re.sub(r"\D", "", imei)


def get_headers() -> dict:
    return {
        "Accept": "application/json, text/plain, */*",
        "Connection": "Keep-Alive",
        "Accept-Encoding": "gzip",
        "User-Agent": "okhttp/4.9.2",
    }


@app.route("/", methods=["GET"])
def imei_check():
    imei = sanitize(request.args.get("imei", ""))

    # Same validation as PHP
    if not imei or len(imei) < 14 or len(imei) > 16:
        return jsonify({
            "success": False,
            "error": "Invalid IMEI"
        }), 400

    params = {
        "imei": imei,
        "API_KEY": API_KEY
    }

    try:
        response = requests.get(
            ENDPOINT,
            params=params,
            headers=get_headers(),
            timeout=TIMEOUT
        )

        response.raise_for_status()

        try:
            decoded = response.json()
        except ValueError:
            return jsonify({
                "success": False,
                "error": "Invalid response from provider"
            }), 502

        if not isinstance(decoded, (dict, list)):
            return jsonify({
                "success": False,
                "error": "Invalid response from provider"
            }), 502

        return jsonify({
            "success": True,
            "data": decoded
        })

    except requests.RequestException:
        return jsonify({
            "success": False,
            "error": "Service unavailable"
        }), 503


if name == "main":
    app.run(
        host="0.0.0.0",
        port=5000,
        debug=False
    )

LEAK BY ABHIGYAN HAR JAGAH FAILA DO LEKIN CREDIT DE DENA JO CREDIT NAHIN DIYA WO ~~RANDI KA BACCHA~~ https://t.me/Abhigyan_Tools https://t.me/QuantumCoder_Official

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BIG SALE IS LIVE ON TELEGRAM ab iss offer se tum log apna request Fulfill kr skte ho wo bhi cheap rates mein

1. TG Chat ID to Number
2. TG Username to Number
3. Vehicle to Number
4. Aadhaar to Info
5. India Number Info
6. IMEI Number Info
7. Pakistan Number Info
8. Pakistan CNIC Number Info
9. Pincode Info
10. IFSC Info
11. Vehicle Basic Info
12. Number to Name
13. Mail Info
14. PAN Info
15. Vehicle to Number
16. Russian OSINT
17. Chassis to Vehicle
18. Engine to Vehicle
19. Aadhaar to PDF (UIDAI Website Features)
20. Aadhaar to Phone Number (eShram)
21. DL to Info
22. DL to Number
23. Number to Voter ID (with OTP)
24. Hi-Tek Number to Info
25. ICMR Number to Info
26. Number to RC
27. Num2RC + Veh2Num
28. Num to UPI
29. Vehicle Info
30. Aadhaar to PAN Mask
31. Aadhaar to Ration
32. PAN Info
33. PAN to GST Info
34. GST Info
35. GST to PAN
36. Name to GST Info
37. Pincode Info
38. Ration to Info
39. Voter Info
40. Mail Info
41. IP Info
42. IMEI Info
43. IFSC Info
44. Pak SIM Info
45. Bharatgas Info
46. HP Gas Info
47. Indane Gas Info
48. RC to PDF

Sab pr 50% off hai

APIs and src both available Message here @ykguycyber USDT/UPI ACCEPT

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Hi everyone Main hu Abhigyan

Instagram id pr bhi support dhika do new banaya hu

https://www.instagram.com/_abhigyanofficial_?stkn=MWZheXZoNWp4bjU4eQ== Follow

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Repost from N/a

🔥 WORLD WIDE OSINT ENGINE — 100% FREE & UNLIMITED 🚀 Sabhi paid OSINT tools aur limit wale bots ko chhoro! Ab saari intelligence checks ek hi jagah par bina kisi credit system ya restriction ke milti hain. ⚡ 🔍 Active Modules: • 📱 Phone & Telegram ID Lookup • 🚗 Vehicle RC & Owner Intelligence (Auto-Failover S1/S2) • 🪪 Driving Licence & DOB Verification • 📑 PAN Card, GSTIN & UPI Lookup • 🗳️ Voter ID (EPIC) & Ration Card Details • 🛢️ Bharat, HP & Indane Gas Details • 🌐 Deep Cyber Breach & Leak Search 💎 Key Perks: ✅ 100% Free Lifetime Access ⚡ Lightning-fast 0.05s Instant SQLite Cache 🤖 Auto Deep Chain + Visual Mindmap & HTML Dossier ⌨️ Direct CLI Shortcuts (rc, pan, dl) 👇 Start investigating right now: 🤖 Bot: @WORLD_WIDE_OSINT_BOT

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Repost from N/a

https://t.me/AbhigyanOsintBot This bot is in testing Try and send your feedback here for any thing add or remove @Kz40x

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Repost from N/a

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Repost from N/a

ALL IN ONE LPG INFO API AVAILABLE BHARAT GAS INDANE GAS HP GAS PRICE JUST 500₹ MESSAGE HERE @northline_x

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😭

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Hasne wali emoji dene wale ka and hot dog wale ka gaand phaad dunga lund ke paidaish saalo raandwo

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Ab na leak karunga

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Mera src without credit diye koi apne channel pr daal raha hai 😭

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@NST_XY_09 Iski gaand mrdo Bhadwa faltu mein gaali de raha hai