USENIX Security2023Top-tier venue
Rods with Laser Beams: Understanding Browser Fingerprinting on Phishing Pages
Iskander Sánchez-Rola, Leyla Bilge, Davide Balzarotti, Armin Buescher, Petros Efstathopoulos
Abstract
Phishing is one of the most common forms of social engineering attacks and is regularly used by criminals to compromise millions of accounts every year. Numerous solutions have been proposed to detect or prevent identity thefts, but phishers have responded by improving their methods and adopting more sophisticated techniques. One of the most recent advancements is the use of browser fingerprinting. In particular, fingerprinting techniques can be used as an additional piece of information that complements the stolen credentials This is confirmed by the fact that credentials with fingerprint data are sold for higher prices in underground markets. To understand the real extent of this phenomenon, we conducted the largest study of the phishing ecosystem in the topic by analyzing more than 1.7M recent phishing pages that emerged over the course of 21 months. In our systematic study, we performed detailed measurements to estimate the prevalence of fingerprinting techniques in phishing pages. We found that more than one in four phishing pages adopt some form of fingerprinting. This seems an ever growing trend as the percentage of pages using these techniques steadily increased during the analysis period (last month doubling what detected in the first month). Methodology At the core of our study lies a comprehensive dataset of phishing websites recently detected by a commercial detection solu-
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- Online Tracking: A 1-million-site Measurement and AnalysisSteven Englehardt, Arvind NarayananCCS 2016 · 798 citations
- (Cross-)Browser Fingerprinting via OS and Hardware Level FeaturesYinzhi Cao, Song Li, Erik WijmansNDSS 2017 · 199 citations
- Phishpedia: A Hybrid Deep Learning Based Approach to Visually Identify Phishing WebpagesYun Lin, Ruofan Liu, Dinil Mon Divakaran, Jun Yang Ng et al.USENIX Security 2021 · 164 citations
- Fingerprinting the Fingerprinters: Learning to Detect Browser Fingerprinting BehaviorsUmar Iqbal, Steven Englehardt, Zubair ShafiqS&P 2021 · 143 citations
- PhishFarm: A Scalable Framework for Measuring the Effectiveness of Evasion Techniques against Browser Phishing BlacklistsAdam Oest, Yeganeh Safaei, Adam Doupé, Gail-Joon Ahn et al.S&P 2019 · 129 citations
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