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PhishDecloaker: Detecting CAPTCHA-cloaked Phishing Websites via Hybrid Vision-based Interactive Models

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PhishDecloaker

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The repository contains all artifacts for the paper "PhishDecloaker: Detecting CAPTCHA-cloaked Phishing Websites via Hybrid Vision-based Interactive Models", published at USENIX Security '24.

Overview

Project structure

  1. cloaken: hardening framework for cloaking phishing kits with CAPTCHAs.
  2. phishdecloaker: softening framework for decloaking CAPTCHA-cloaked phishing kits.
  3. datasets: datasets used in model training, testing, and experiments.

Contact

Feel free to open a GitHub issue if you encounter a bug or want to suggest a feature. For other inquiries, please contact the following authors: Xiwen Teoh, Yun Lin.

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PhishDecloaker: Detecting CAPTCHA-cloaked Phishing Websites via Hybrid Vision-based Interactive Models

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