USENIX Security2021Top-tier venue
Catching Phishers By Their Bait: Investigating the Dutch Phishing Landscape through Phishing Kit Detection
Hugo L. J. Bijmans, Tim M. Booij, Anneke Schwedersky, Aria Nedgabat, Rolf van Wegberg
Abstract
Off-the-shelf, easy-to-deploy phishing kits are believed to lower the threshold for criminal entrepreneurs going phishing. That is, the practice of harvesting user credentials by tricking victims into disclosing these on fraudulent websites. But, how do these kits impact the phishing landscape? And, how often are they used? We leverage the use of TLS certificates by phishers to uncover possible Dutch phishing domains aimed at the financial sector between September 2020 and January 2021. We collect 70 different Dutch phishing kits in the underground economy, and identify 10 distinct kit families. We create unique fingerprints of these kits to measure their prevalence in the wild. With this novel method, we identify 1,363 Dutch phishing domains that deploy these phishing kits, and capture their end-to-end life cycle -from domain registration, kit deployment, to take-down. We find the median uptime of phishing domains to be just 24 hours, indicating that phishers do act fast. Our analysis of the deployed phishing kits reveals that only a small number of different kits are in use. We discover that phishers increase their luring capabilities by using decoy pages to trick victims into disclosing their credentials. In this paper, we paint a comprehensive picture of the tactics, techniques and procedures (TTP) prevalent in the Dutch phishing landscape and present public policy takeaways for anti-phishing initiatives.
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Cited by top-tier papers13
- Less Defined Knowledge and More True Alarms: Reference-based Phishing Detection without a Pre-defined Reference ListRuofan Liu, Yun Lin, Xiwen Teoh, Gongshen Liu et al.USENIX Security 2024 · 39 citations
- TxPhishScope: Towards Detecting and Understanding Transaction-based Phishing on EthereumBowen He, Yuan Chen, Zhuo Chen, Xiaohui Hu et al.CCS 2023 · 38 citations
- I'm SPARTACUS, No, I'm SPARTACUS: Proactively Protecting Users from Phishing by Intentionally Triggering Cloaking BehaviorPenghui Zhang, Zhibo Sun, Sukwha Kyung, Hans Walter Behrens et al.CCS 2022 · 18 citations
- PhishDecloaker: Detecting CAPTCHA-cloaked Phishing Websites via Hybrid Vision-based Interactive ModelsXiwen Teoh, Yun Lin, Ruofan Liu, Zhiyong Huang et al.USENIX Security 2024 · 13 citations
- Characterizing and Mitigating Phishing Attacks at ccTLD ScaleGiovane C. M. Moura, Thomas Daniels, Maarten Bosteels, Sebastian Castro et al.CCS 2024 · 7 citations
Builds on10
- Data Breaches, Phishing, or Malware?: Understanding the Risks of Stolen CredentialsKurt Thomas, Frank Li, Ali Zand, Jacob Barrett et al.CCS 2017 · 248 citations
- Hiding in Plain Sight: A Longitudinal Study of Combosquatting AbusePanagiotis Kintis, Najmeh Miramirkhani, Charles Lever, Yizheng Chen et al.CCS 2017 · 166 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
- PhishEye: Live Monitoring of Sandboxed Phishing KitsXiao Han, Nizar Kheir, Davide BalzarottiCCS 2016 · 118 citations
- Cognitive Triaging of Phishing AttacksAmber van der Heijden, Luca AllodiUSENIX Security 2019 · 100 citations
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