In this paper, we try to find two methods based on deep learning and machine learning to detect phishing websites from those legal ones. In terms of machine learning models, first, both phishing and benign URLs of websites are gathered from online resources, and required URL features and website content-based features are extracted and selected to form the data set. 5 different training methods are used and analyzed. In terms of deep learning model, a character - embedded Bidirectional LSTM is used for training. And the model is testified then.
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