District 4 Labs provides DARKSIDE, a large repository of compromised records and person-of-interest data collected from the Deep and Dark Web. This structured OSINT data supports complex investigations, threat intelligence, and risk mitigation for law enforcement, intelligence agencies, and corporate security teams. Access is provided through a proprietary UI, a REST API, and integrations with leading OSINT platforms.
Funding
Funding not disclosed
Founders
Product
Problem
Investigating threat actors, assessing online risks, and conducting thorough investigations often require sifting through vast amounts of data scattered across the Deep and Dark Web. This process is time-consuming and inefficient, hindering timely identification of critical intelligence.
Solution
DISTRICT 4 LABS offers DARKSIDE, a comprehensive repository of tens of billions of compromised records and person-of-interest data sourced from the Deep and Dark Web. The platform structures and parses this data, enabling investigators, law enforcement, and corporate security teams to efficiently identify threats, assess risks, and conduct thorough investigations. Data is accessible through a proprietary User Interface (UI), an easy-to-integrate REST API, and integrations with leading OSINT platforms.
Target Audience
The primary users are federal law enforcement and intelligence agencies, private investigators, penetration testers, managed security service providers (MSSPs), and corporate security teams.
Features
- Constantly growing repository of tens of billions of compromised records and person-of-interest data.
- Data is uniquely parsed and structured for intuitive and efficient identification of critical intelligence.
- Proprietary User Interface (UI) for efficient searching across datapoints.
- REST API for increased search flexibility and seamless integration with various systems.
- Integrations with leading OSINT platforms, including Maltego, Blackdot Videris, and Falkor.
- Data collection leveraging years of investigative and cybersecurity experience.
- Extraction, normalization, and merging of all meaningful data across compromised databases.
- Password cracking of hashed passwords to extend search capabilities.