Publication Type : Conference Paper
Publisher : IEEE
Source : 2025 International Conference on Emerging Systems and Intelligent Computing (ESIC)
Url : https://doi.org/10.1109/esic64052.2025.10962794
Campus : Chennai
School : School of Computing
Department : Computer Science and Engineering
Year : 2025
Abstract : A dark-web exploring tool that prioritizes performance and anonymity is described in the study. It utilizes the Tor network to ensure anonymity, features onion domain status checking, captures headers, provides directory fuzzing, aggregates results from multiple dark-web search engines, uses multithreading to improve performance, and rebuilds Tor circuits for each session to maintain security. Some of the major core functionalities that this tool includes are metadata scraping, making sure it tries to capture server headers, captures screenshots, and is able to include directory fuzzing with Ferox Buster. Outputs can be exported in CSV, JSON, and PDF formats. The future extensions for advanced security analysis and real-time monitoring make it a scalable solution for dark web research and reconnaissance.
Cite this Research Publication : R B Sujjanth, Thanusri V, Saranya G, ULTRON: A Multi-Functional, Privacy-Centric Framework for Reconnaissance and Security Analysis on the Dark Web, 2025 International Conference on Emerging Systems and Intelligent Computing (ESIC), IEEE, 2025, https://doi.org/10.1109/esic64052.2025.10962794