Detecting Cloud-Based Phishing Attacks by Combining Deep Learning Models. (arXiv:2204.02446v1 [cs.CR])

Web-based phishing attacks nowadays exploit popular cloud web hosting
services and apps such as Google Sites and Typeform for hosting their attacks.
Since these attacks originate from reputable domains and IP addresses of the
cloud services, traditional phishing detection methods such as IP reputation
monitoring and blacklisting are not very effective. Here we investigate the
effectiveness of deep learning models in detecting this class of cloud-based
phishing attacks. Specifically, we evaluate deep learning models for three
phishing detection methods--LSTM model …

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