How to Monitor Dark Web Mentions of Your Brand

Introduction Data breaches, leaked credentials, and brand impersonation on dark web forums pose serious threats to businesses. Monitoring these mentions proactively can mean the difference between catching a breach early and learning about it from the news. In this tutorial, we'll build a Python-based monitoring system using publicly accessible threat intelligence sources — no Tor browsing required. Setup import requests from bs4 import BeautifulSoup import pandas as pd import json import re from datetime import datetime import time import hashlib # Handle protected threat intelligence sites # Get your API key: https://www.scraperapi.com?fp_ref=the52 SCRAPER_API_KEY = " your_key_here " BASE_URL = " http://api.scraperapi.com " Monitoring Paste Sites Paste sites are where leaked data often surfaces first: def monitor_paste_sites ( keywords ): """ Monitor public paste sites for brand mentions. """ paste_sources = [ " https://psbdmp.ws/api/search/ " , ] findings = [] for keyword in keyword