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Phishing the Phishers with SpecularNet: Hierarchical Graph Autoencoding for Reference-Free Web Phishing Detection

arXiv – CS AI|Tailai Song, Pedro Casas, Michela Meo||1 views
🤖AI Summary

Researchers developed SpecularNet, a lightweight AI framework for detecting phishing websites that operates without external databases or cloud services. The system achieves 93.9% F1 score while reducing inference time from several seconds to 20 milliseconds per webpage, making it practical for real-world deployment.

Key Takeaways
  • SpecularNet detects phishing websites using only domain names and HTML structure without requiring external knowledge bases
  • The framework achieves competitive 93.9% F1 score performance while being dramatically faster than existing methods
  • Inference time is reduced from several seconds to approximately 20 milliseconds per webpage analysis
  • The system uses hierarchical graph autoencoding to model webpage DOM structures for pattern recognition
  • Evaluation against 13 state-of-the-art detectors shows SpecularNet rivals heavyweight systems with lower computational cost
Read Original →via arXiv – CS AI
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