Rods with Laser Beams: Understanding Browser Fingerprinting on Phishing Pages
Iskander Sánchez-Rola, Leyla Bilge, Davide Balzarotti, Armin Buescher, Petros Efstathopoulos
摘要
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-
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
它引用的顶会 Paper20
- Online Tracking: A 1-million-site Measurement and AnalysisSteven Englehardt, Arvind NarayananCCS 2016 · 被引用 798 次
- (Cross-)Browser Fingerprinting via OS and Hardware Level FeaturesYinzhi Cao, Song Li, Erik WijmansNDSS 2017 · 被引用 199 次
- Phishpedia: A Hybrid Deep Learning Based Approach to Visually Identify Phishing WebpagesYun Lin, Ruofan Liu, Dinil Mon Divakaran, Jun Yang Ng 等USENIX Security 2021 · 被引用 164 次
- Fingerprinting the Fingerprinters: Learning to Detect Browser Fingerprinting BehaviorsUmar Iqbal, Steven Englehardt, Zubair ShafiqS&P 2021 · 被引用 143 次
- PhishFarm: A Scalable Framework for Measuring the Effectiveness of Evasion Techniques against Browser Phishing BlacklistsAdam Oest, Yeganeh Safaei, Adam Doupé, Gail-Joon Ahn 等S&P 2019 · 被引用 129 次
相关 Paper
- Beyond the Crawl: Unmasking Browser Fingerprinting in Real User InteractionsMeenatchi Sundaram Muthu Selva Annamalai, Emiliano De Cristofaro, Igor BilogrevicWWW 2025 · 被引用 4 次
- CrawlPhish: Large-scale Analysis of Client-side Cloaking Techniques in PhishingPenghui Zhang, Adam Oest, Haehyun Cho, Zhibo Sun 等S&P 2021 · 被引用 1 次
- Phish in Sheep's Clothing: Exploring the Authentication Pitfalls of Browser FingerprintingXu Lin, Panagiotis Ilia, Saumya Solanki, Jason PolakisUSENIX Security 2022
- Carnus: Exploring the Privacy Threats of Browser Extension FingerprintingSoroush Karami, Panagiotis Ilia, Konstantinos Solomos, Jason PolakisNDSS 2020
- Him of Many Faces: Characterizing Billion-scale Adversarial and Benign Browser Fingerprints on Commercial WebsitesShujiang Wu, Pengfei Sun, Yao Zhao, Yinzhi CaoNDSS 2023
