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Main Authors: De Pascale, Daniel, Cascavilla, Giuseppe, Tamburri, Damian A., Heuvel, Willem-Jan Van Den
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2405.06356
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author De Pascale, Daniel
Cascavilla, Giuseppe
Tamburri, Damian A.
Heuvel, Willem-Jan Van Den
author_facet De Pascale, Daniel
Cascavilla, Giuseppe
Tamburri, Damian A.
Heuvel, Willem-Jan Van Den
contents Dark web crawling is a complex process that involves specific methodologies and techniques to navigate the Tor network and extract data from hidden services. This study proposes a general dark web crawler designed to extract pages handling security protocols, such as captchas, efficiently. Our approach uses a combination of seed URL lists, link analysis, and scanning to discover new content. We also incorporate methods for user-agent rotation and proxy usage to maintain anonymity and avoid detection. We evaluate the effectiveness of our crawler using metrics such as coverage, performance and robustness. Our results demonstrate that our crawler effectively extracts pages handling security protocols while maintaining anonymity and avoiding detection. Our proposed dark web crawler can be used for various applications, including threat intelligence, cybersecurity, and online investigations.
format Preprint
id arxiv_https___arxiv_org_abs_2405_06356
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle CRATOR: a Dark Web Crawler
De Pascale, Daniel
Cascavilla, Giuseppe
Tamburri, Damian A.
Heuvel, Willem-Jan Van Den
Cryptography and Security
Dark web crawling is a complex process that involves specific methodologies and techniques to navigate the Tor network and extract data from hidden services. This study proposes a general dark web crawler designed to extract pages handling security protocols, such as captchas, efficiently. Our approach uses a combination of seed URL lists, link analysis, and scanning to discover new content. We also incorporate methods for user-agent rotation and proxy usage to maintain anonymity and avoid detection. We evaluate the effectiveness of our crawler using metrics such as coverage, performance and robustness. Our results demonstrate that our crawler effectively extracts pages handling security protocols while maintaining anonymity and avoiding detection. Our proposed dark web crawler can be used for various applications, including threat intelligence, cybersecurity, and online investigations.
title CRATOR: a Dark Web Crawler
topic Cryptography and Security
url https://arxiv.org/abs/2405.06356