The darknet is a dynamic and shifting space.
Discover the size, languages, and traits of Tor, I2P, and ZeroNet with our new interactive visualization tool.
What Does the Darknet Look Like?
Our mission is to index the darknet wider and deeper than anyone else, and provide safe access to the data. Map the Dark offers a visual representation of what the darknet looks like today in a straightforward, interactive interface.
Visualize and compare the most popular languages and topic classifications from our collection of darknet domains from the onion router (Tor), the Invisible Internet Project (I2P), and ZeroNet sources.
As of January 2019, Map the Dark visualizes over 167,000 darknet domains: the majority of which are from Tor (162,778), then Zeronet (4344), and I2P (701). Since we first published Map the Dark in early 2018, our darknet data collection has more than doubled.
Categorizing the Darknet
The darknet is a network built on top of the internet that is purposefully hidden, meaning it has been designed specifically for anonymity. Because of this, the darknet is sometimes perceived as a dark, shady corner of the internet. Our crawlers intelligently and continually access darknet content, making DarkOwl Vision the largest database of darknet content in the world.
Having this breadth of darknet content at our disposal allows us to delve deeper into the types of content and statistics of the darknet. We've discovered that most of the darknet is English-speaking services (88%), and Russian (Cyrillic)-based services make up 9% of the sites captured by our crawlers. The other languages represent 3% of the DarkOwl Vision database: French, German, Spanish, and Bulgarian are currently popular languages.
DarkOwl Vision uses natural language processing to categorize our darknet content in an effort to understand the shape and feel of its current and trending states. Some popular content topics in our latest dataset are counterfeiting, cryptocurrency, wikis, markets, carding, hacking, IT and computing, and drugs. We regularly perform a quantitative analysis to give us insight into whether we are successfully collecting relevant data, as well as improve our understanding of the networks and our collection methodologies.
Map the Dark was produced by Sarah Prime and developed by Matthew Curtis, the team behind our Professional Tools interface, using daily metrics and statistics generated by the DarkOwl Vision data science team. Map the Dark was inspired by the works of Peter Beshai and Jim Vallandingham, with icons courtesy of Font Awesome. We’d also like to acknowledge Leah Meredith from marketing, and our IT and security teams for their support in publishing this to the world.