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Autori principali: Mouchoux, Ronan, Moulin, Laurent, Striebig, Nicolas
Natura: Preprint
Pubblicazione: 2024
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Accesso online:https://arxiv.org/abs/2402.18301
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author Mouchoux, Ronan
Moulin, Laurent
Striebig, Nicolas
author_facet Mouchoux, Ronan
Moulin, Laurent
Striebig, Nicolas
contents Broken links in websites external resources pose a serious threat to cybersecurity and the credibility of websites. They can be hijacked to eavesdrop user traffic or to inject malicious software. In this paper, we present the first result of an ongoing research. We focus on the prevalence of broken links in external resources on home pages of the most visited websites in the world. The analysis was conducted on the top 88 000 homepages extracted from the Majestic Million rankings. 35,2% of them have at least one broken link. We also identify the common causes of these broken links and highlight improper implementation of testing phases to prevent such errors. We provide a formal model for the distribution of external links. At the next research step, we are exploring the potential impact on privacy of broken links by analyzing inherited traffic of purchasable expired domains.
format Preprint
id arxiv_https___arxiv_org_abs_2402_18301
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Quantification and Modeling of Broken Links Prevalence in Hyper Traffic Websites Homepages
Mouchoux, Ronan
Moulin, Laurent
Striebig, Nicolas
Cryptography and Security
Broken links in websites external resources pose a serious threat to cybersecurity and the credibility of websites. They can be hijacked to eavesdrop user traffic or to inject malicious software. In this paper, we present the first result of an ongoing research. We focus on the prevalence of broken links in external resources on home pages of the most visited websites in the world. The analysis was conducted on the top 88 000 homepages extracted from the Majestic Million rankings. 35,2% of them have at least one broken link. We also identify the common causes of these broken links and highlight improper implementation of testing phases to prevent such errors. We provide a formal model for the distribution of external links. At the next research step, we are exploring the potential impact on privacy of broken links by analyzing inherited traffic of purchasable expired domains.
title Quantification and Modeling of Broken Links Prevalence in Hyper Traffic Websites Homepages
topic Cryptography and Security
url https://arxiv.org/abs/2402.18301