DARPA Memex is a program seeking to develop next-generation search technologies for discovering, organizing and presenting domain-specific content. It aims to extend search beyond a centralized model to the deep web and nontraditional content. The program initially plans to address fighting human trafficking. It is specifically not interested in deanonymizing servers, attributing identity to IP addresses, or accessing non-public information.
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Dizzy is an open-source crawling and analysis system for onion services. It implements techniques to explore, update, check, and classify onion services at scale without overwhelming the Tor network. It was deployed in April 2021 and used to analyze more than 63.3 million crawled onion webpages, focusing on domain operations, web content, cryptocurrency usage, and web graph.
An arXiv paper presenting a large-scale analysis of the Tor network using a crawler called Mimir, which collects and visits linked content. The authors report a dataset of pages from more than 25k sites and examine network topology, replicated content and content types.
An arXiv paper presenting a longitudinal analysis of the dark web cybercrime ecosystem. The authors analyze 25,065 websites using 11,403,638 HTML snapshots collected over six years, applying a topic-modeling framework with domain-specific embeddings, density-based clustering and temporal aggregation. The analysis identifies 55 thematic clusters and measures topic prevalence and lifecycle at the website level.
A working paper by John Schriner that focuses on how researchers monitor the Dark Web. It defines onion services and Tor and discusses tools for monitoring and securing onion services.
Public-health research measuring harmful-content availability and searches on the Tor network.
CRATOR is a proposed dark web crawler described in an arXiv paper. It is designed to extract pages that handle security protocols such as captchas, using seed URL lists, link analysis and scanning to discover content, with user-agent rotation and proxy usage for anonymity. The authors report evaluation using coverage, performance and robustness metrics, and suggest threat intelligence, cybersecurity and online investigation applications.
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Dizzy is an open-source crawling and analysis system for onion services. It implements techniques to explore, update, check, and classify onion services at scale without overwhelming the Tor network. It was deployed in April 2021 and used to analyze more than 63.3 million crawled onion webpages, focusing on domain operations, web content, cryptocurrency usage, and web graph.
An arXiv paper presenting a large-scale analysis of the Tor network using a crawler called Mimir, which collects and visits linked content. The authors report a dataset of pages from more than 25k sites and examine network topology, replicated content and content types.
An arXiv paper presenting a longitudinal analysis of the dark web cybercrime ecosystem. The authors analyze 25,065 websites using 11,403,638 HTML snapshots collected over six years, applying a topic-modeling framework with domain-specific embeddings, density-based clustering and temporal aggregation. The analysis identifies 55 thematic clusters and measures topic prevalence and lifecycle at the website level.
A working paper by John Schriner that focuses on how researchers monitor the Dark Web. It defines onion services and Tor and discusses tools for monitoring and securing onion services.
Public-health research measuring harmful-content availability and searches on the Tor network.
CRATOR is a proposed dark web crawler described in an arXiv paper. It is designed to extract pages that handle security protocols such as captchas, using seed URL lists, link analysis and scanning to discover content, with user-agent rotation and proxy usage for anonymity. The authors report evaluation using coverage, performance and robustness metrics, and suggest threat intelligence, cybersecurity and online investigation applications.
