Dark Web Intelligence

Overview

The Dark Web Intelligence category provides structured, actionable data derived from monitoring and scraping illicit online sources. The primary goal is to offer visibility into the cybercriminal ecosystem where compromised data is traded and attack methods are shared.

Intelligence is gathered from forums, Telegram channels, marketplaces, and ransomware blogs upon customer request and legal agreement. This raw information is then processed, analyzed, and enriched with structured metadata, including a granular tagging system. This process transforms unstructured content into a high-fidelity intelligence stream, enabling security teams to identify compromised assets, understand emerging threats, and assess organizational exposure.

This document provides a technical overview of our monitored sources and the classification tags used to categorize the scraped content.

Monitored Content Sources

Our intelligence collection framework targets four primary types of sources within the cybercriminal ecosystem. Correlating data across these environments provides a comprehensive view of a threat's lifecycle.

• Hacker Forums: We have access to a wide range of public and invite-only hacker forums where threat actors trade goods and information. Our scraping operations, when deployed, target discussions on software vulnerabilities, the sale and exchange of malware and exploit kits, and the posting of stolen data sets. The analysis of this content provides insight into new attack vectors and threat actor TTPs (Tactics, Techniques, and Procedures).

• Telegram Channels: We can access intelligence from thousands of public and private Telegram channels used by cybercriminals for real-time communication, data leakage, and sales. Intelligence available includes credential dumps (combo lists), malware logs, phishing kits, and advertisements for compromised network access. This source often provides the earliest indications of a new data leak or active campaign.

• Marketplaces: These are structured e-commerce platforms on the dark web dedicated to the sale of illicit digital goods. Our monitoring focuses on listings for:

  • Compromised Credentials: Including Remote Desktop Protocol (RDP) and VPN access.
  • Financial Data: Stolen credit card information, bank account details, and cryptocurrency wallets.
  • Databases and Malware Logs: Data from corporate breaches and logs from various infostealers.

• Ransomware Blogs: We have access to data leak sites operated by numerous ransomware groups. These blogs are used as part of a "double extortion" strategy to publish the names of victim organizations and post samples of exfiltrated data. Monitoring these sites provides high-confidence intelligence of successful network intrusions, often serving as the first external notification of a major breach.

Content Tags and Classification

To make the scraped data actionable, we apply a comprehensive set of tags to classify the nature and content of each piece of information. This allows for precise filtering, searching, and alerting.

Forum Content Tags

The following tags are applied to content scraped from dark web forums:

Telegram Message Tags

The following tags are applied to messages and files scraped from Telegram channels:

Domain Popularity Tags

One of the key enrichment tags we apply relates to domain popularity. When a domain is mentioned in scraped content, we check its popularity against the Cloudflare Radar domain rankings. This provides immediate context on the potential impact of the threat.

• TOP_*_CF: This tag format indicates that a mentioned domain falls within a specific Cloudflare popularity bracket. For example:
  • TOP_1000_CF: The domain is one of the top 1,000 most popular domains on the internet.
  • TOP_20000_CF: The domain is within the top 20,000 most popular domains.
  • TOP_1000000_CF: The domain is within the top 1 million most popular domains.

The presence of these tags helps you quickly assess risk. For instance, a post discussing a vulnerability on a TOP_5000_CF domain is significantly more critical than one on a less popular site.