Cited by 18Spam and Phishing DetectionCybercrime and Law Enforcement StudiesAdvanced Malware Detection Techniques

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Using URL shorteners to compare phishing and malware attacks

Le Page, Sophie, Jourdan, Guy-Vincent, Bochmann, Gregor V., Flood, Jason, Onut, Iosif-Viorel·2018·2018 APWG Symposium on Electronic Crime Research (eCrime)

Abstract

In this work we use URL shortener click analytics to compare the life cycle of phishing and malware attacks. We have collected over 7,000 malicious short URLs categorized as phishing or malware for the 2 year period covering 2016 and 2017, along with their reported date. We analyze the short URLs and find that phishing attacks are most active 4 hours before the reported date, while malware attacks are most active 4 days before the reported date. We find that phishing attacks have higher click through rate with shorter timespan. Conversely malware attacks have lower click through rate with longer timespan. We also show the comparisons of referrers and countries from which short URLs are accessed, showing in particular an increased use of social media to spread both kinds of attacks. We also find phishing clicks mainly come from USA and Brazil, while malware clicks mainly come from USA and Russia. Overall based on the observation that 50% of malware attacks are active for several years, while less than 50% of phishing attacks are active past 3 months, we conclude that the efforts against phishing attacks are stronger than the efforts against malware attacks.

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Crossref · 10.1109/ecrime.2018.8376215

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Metadata

Authors
Le Page, S., Jourdan, G.-V., Bochmann, G. V., Flood, J., & Onut, I.-V.
Affiliations
  • University of Ottawa (CA)
  • IBM (United States) (US)
Venue
2018 APWG Symposium on Electronic Crime Research (eCrime)
Publisher
IEEE
Published
2018-05
Pages
1-13
OpenAlex
W2808359841
Cited by
18
References
0
Citations by year
2025: 4 · 2023: 1 · 2022: 3 · 2021: 4 · 2020: 4 · 2019: 2
FWCI
1.96
Type
conference paper
Language
en
Open access
closed
Locations
APWG Symposium on Electronic Crime Research (eCrime) (publishedVersion)
Funders
  • Natural Sciences and Engineering Research Council of Canada
  • Center for Advanced Study, University of Illinois at Urbana-Champaign
Topics
  • Physical Sciences › Computer Science › Information Systems › Spam and Phishing Detection
  • Social Sciences › Law › Cybercrime and Law Enforcement Studies
  • Physical Sciences › Computer Science › Software › Advanced Malware Detection Techniques
Keywords
phishing, malware attacks, click-through rate, social media

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