Only use this on websites you own or have explicit permission to test. Unauthorized scanning may violate laws and terms of service.
def _extract_price(self, soup): price_patterns = ['price', 'product-price', 'sale-price', 'amount'] for pattern in price_patterns: elem = soup.find(class_=pattern) or soup.find(id=pattern) if elem: return elem.get_text(strip=True) return "N/A"
: From an SEO perspective, URLs that are clean and descriptive are preferred. A URL structure like index.php?id=1&shop might be optimized further to include more descriptive information about the content, such as shop/product/1 or product.php?id=1 .
try: start = time.time() response = self.session.get(test_url, timeout=10) elapsed = time.time() - start inurl index php id 1 shop
import requests from bs4 import BeautifulSoup from urllib.parse import urljoin, parse_qs, urlparse import time import sys
def _report_vulnerability(self, vuln_type, url): self.vulnerabilities.append('type': vuln_type, 'url': url) print(f"[⚠] VULNERABILITY: vuln_type at url")
This could imply another parameter or a part of the URL structure indicating a specific section of the website related to a shop or store. Only use this on websites you own or
If user input (like data associated with the id or shop parameters) is echoed back to the user without proper escaping, an attacker could inject malicious JavaScript.
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 = []
Predictable or guessable IDs could lead to unauthorized access to data. For example, if by changing the id from 1 to 2 a user can access another item, it may indicate insecure direct object reference (IDOR) vulnerabilities. A URL structure like index
: A URL like index.php?id=1&shop might be used in an e-commerce platform where id=1 refers to a specific product or category, and shop indicates the section of the site.
def extract_product_info(self, url): """Extract product details from a shop page""" try: response = self.session.get(url, timeout=5) soup = BeautifulSoup(response.text, 'html.parser')
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.