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Phishing in Style: ...
Phishing in Style: Characterizing Phishing Websites in the Wild
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- Hasselquist, David (författare)
- Linköpings universitet,Databas och informationsteknik,Tekniska fakulteten
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- Kihlberg Gawell, Elsa (författare)
- Linköpings universitet,Databas och informationsteknik,Tekniska fakulteten
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- Karlström, Axel (författare)
- Linköpings universitet,Databas och informationsteknik,Tekniska fakulteten
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- Carlsson, Niklas, 1977- (författare)
- Linköpings universitet,Databas och informationsteknik,Tekniska fakulteten
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(creator_code:org_t)
- Institute of Electrical and Electronics Engineers (IEEE), 2023
- 2023
- Engelska.
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Ingår i: Proc. Network Traffic Measurement and Analysis Conference (TMA). - : Institute of Electrical and Electronics Engineers (IEEE). - 9783903176584 - 9798350325676
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.2...
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Abstract
Ämnesord
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- The prevalence of phishing domains is steadily rising as attackers exploit toolkits to create phishing websites. As web development expertise is no longer a prerequisite, phishing attacks have become more widespread, outpacing many existing detection methods. Developing novel techniques to identify malicious domains is crucial to safeguard potential victims online. While most current methods emphasize the visual aspects of phishing websites, in this paper, we investigate the underlying structure by collecting data on style sheets and certificates from both verified phishing domains and benign domains. Using a token-based similarity algorithm, we group the phishing domains into three categories and identify shared characteristics of these domains. Our work demonstrates the feasibility of using structural similarities to identify a website created using a phishing kit. By employing such detection, users would be able to browse the web with a reduced risk of falling victim to malicious activities.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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