Sunrise to Sunset: Analyzing the End-to-end Life Cycle and Effectiveness of Phishing Attacks at Scale
Adam Oest, Penghui Zhang, Brad Wardman, Eric Nunes, Jakub Burgis, Ali Zand, Kurt Thomas, Adam Doupé, Gail-Joon Ahn
摘要
Despite an extensive anti-phishing ecosystem, phishing attacks continue to capitalize on gaps in detection to reach a significant volume of daily victims. In this paper, we isolate and identify these detection gaps by measuring the end-to-end life cycle of large-scale phishing attacks. We develop a unique framework—Golden Hour—that allows us to passively measure victim traffic to phishing pages while proactively protecting tens of thousands of accounts in the process. Over a one year period, our network monitor recorded 4.8 million victims who visited phishing pages, excluding crawler traffic. We use these events and related data sources to dissect phishing campaigns: from the time they first come online, to email distribution, to visitor traffic, to ecosystem detection, and finally to account compromise. We find the average campaign from start to the last victim takes just 21 hours. At least 7.42% of visitors supply their credentials and ultimately experience a compromise and subsequent fraudulent transaction. Furthermore, a small collection of highly successful campaigns are responsible for 89.13% of victims. Based on our findings, we outline potential opportunities to respond to these sophisticated attacks.
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。
引用它的顶会 Paper45
- 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
- Phishing in Organizations: Findings from a Large-Scale and Long-Term StudyDaniele Lain, Kari Kostiainen, Srdjan CapkunS&P 2022 · 被引用 92 次
- Catching Phishers By Their Bait: Investigating the Dutch Phishing Landscape through Phishing Kit DetectionHugo L. J. Bijmans, Tim M. Booij, Anneke Schwedersky, Aria Nedgabat 等USENIX Security 2021 · 被引用 61 次
- Is Real-time Phishing Eliminated with FIDO? Social Engineering Downgrade Attacks against FIDO ProtocolsEnis Ulqinaku, Hala Assal, AbdelRahman Abdou, Sonia Chiasson 等USENIX Security 2021 · 被引用 42 次
- TxPhishScope: Towards Detecting and Understanding Transaction-based Phishing on EthereumBowen He, Yuan Chen, Zhuo Chen, Xiaohui Hu 等CCS 2023 · 被引用 38 次
它引用的顶会 Paper9
- Data Breaches, Phishing, or Malware?: Understanding the Risks of Stolen CredentialsKurt Thomas, Frank Li, Ali Zand, Jacob Barrett 等CCS 2017 · 被引用 248 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
- PhishEye: Live Monitoring of Sandboxed Phishing KitsXiao Han, Nizar Kheir, Davide BalzarottiCCS 2016 · 被引用 118 次
- Detecting and Characterizing Lateral Phishing at ScaleGrant Ho, Asaf Cidon, Lior Gavish, Marco Schweighauser 等USENIX Security 2019 · 被引用 113 次
- Cognitive Triaging of Phishing AttacksAmber van der Heijden, Luca AllodiUSENIX Security 2019 · 被引用 100 次
相关 Paper
- 7 Days Later: Analyzing Phishing-Site Lifespan After DetectedKiho Lee, Kyungchan Lim, Hyoungshick Kim, Yonghwi Kwon 等WWW 2025 · 被引用 5 次
- Detecting Credential Spearphishing in Enterprise SettingsGrant Ho, Aashish Sharma, Mobin Javed, Vern Paxson 等USENIX Security 2017 · 被引用 94 次
- Evaluating the Effectiveness and Robustness of Visual Similarity-based Phishing Detection ModelsFujiao Ji, Kiho Lee, Hyungjoon Koo, Wenhao You 等USENIX Security 2025
- PhishTime: Continuous Longitudinal Measurement of the Effectiveness of Anti-phishing BlacklistsAdam Oest, Yeganeh Safaei, Penghui Zhang, Brad Wardman 等USENIX Security 2020
- Unveiling the Underground Phishing Ecosystem: A 12-Year Longitudinal Study of Deep and Dark Web ForumsDohee Kim, Hui Zhao, Doowon Kim, Sungjae HwangWWW 2026
