Inurl Index Php Id 1 Shop Verified May 2026

This transforms a simple search pattern into a powerful, actionable security and data extraction tool.

def _extract_description(self, soup): desc = soup.find('meta', 'name': 'description') return desc.get('content', 'N/A') if desc else "N/A" inurl index php id 1 shop

def _report_vulnerability(self, vuln_type, url): self.vulnerabilities.append('type': vuln_type, 'url': url) print(f"[⚠] VULNERABILITY: vuln_type at url") if name == " main ": # Example URL pattern from search target_url = "http://test-shop.com/index.php?id=1" This transforms a simple search pattern into a

def __init__(self, base_url, delay=1): self.base_url = base_url self.session = requests.Session() self.session.headers.update( 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36' ) self.delay = delay self.vulnerabilities = [] self.products = [] Feature Name: Smart Parameter Fuzzer & Security Auditor

def test_idor(self, url, param='id'): """Test for Insecure Direct Object References""" current_id = self._get_param_value(url, param) if not current_id or not current_id.isdigit(): return # Test adjacent IDs for offset in [1, -1, 2, -2]: test_id = str(int(current_id) + offset) test_url = url.replace(f"param=current_id", f"param=test_id") try: response = self.session.get(test_url, timeout=5) # If response is similar but different content, potential IDOR if response.status_code == 200 and "login" not in response.url.lower(): soup = BeautifulSoup(response.text, 'html.parser') title_tag = soup.find('title') if title_tag and '404' not in title_tag.text.lower(): self._report_vulnerability(f'Potential IDOR (ID: test_id)', test_url) except Exception as e: print(f" [!] IDOR test failed: e")

This pattern typically indicates a website with a numeric id parameter in the URL (e.g., product pages, category listings). A powerful feature to build is a for security auditing and content aggregation. Feature Name: Smart Parameter Fuzzer & Security Auditor Core Functionality This tool automates testing for common web vulnerabilities (SQLi, XSS, IDOR) on URLs matching the index.php?id=X shop pattern, while also extracting product data. Python Script Implementation import requests from bs4 import BeautifulSoup from urllib.parse import urljoin, parse_qs, urlparse import time import sys class SmartShopAuditor: """ Automated security & data extraction tool for shop URLs Pattern: inurl:index.php?id=123 shop """