Prompting Large Language Models for Malicious Webpage Detection

This work proposes a novel approach for malicious webpage detection by leveraging Large Language Models (LLMs). Unlike existing approaches that only analyze the Uniform Resource Locators (URLs) features, our approach considers the web contents for identifying malicious webpages. The major challenge...

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Bibliographic Details
Published in2023 IEEE 4th International Conference on Pattern Recognition and Machine Learning (PRML) pp. 393 - 400
Main Authors Li, Lu, Gong, Bojie
Format Conference Proceeding
LanguageEnglish
Published IEEE 04.08.2023
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