OwnerHunter: Multilingual Website Owner Identification Powered by Large Language Model
inforesearchPeer-ReviewedLLM-Specific
research
Source: IEEE Xplore (Security & AI Journals)March 2, 2026
Summary
OwnerHunter is a system that uses large language models (AI trained on vast amounts of text) to identify who owns a website by analyzing webpage content across multiple languages. It improves on older methods that struggled when webpages listed many names or were written in non-English languages, using strategies like checking multiple sources on a page and verifying results to accurately determine the true owner.
Classification
Attack SophisticationModerate
AI Component TargetedModel
Original source: http://ieeexplore.ieee.org/document/11418608
First tracked: March 16, 2026 at 04:14 PM
Classified by LLM (prompt v3) · confidence: 85%