At Netskope, we have developed a deep learning-based Inline Phishing Detection Engine. Similar to generative pre-training of large language models, such as BERT and ChatGPT/GPT-4, we use a large number of web pages to train a HTML encoder and then use it to build the phishing classifier. The Inline Phishing Detection Engine has been generally available to all Intelligent SSE and Netskope Next Gen-SWG customers. In this blog post, we share some of the patient-zero and evasive phishing examples that the engine has detected.
Have you seen any phishing pages detected by the Inline Phishing Detection Engine in your environment? Please let us know if you have any feedback.
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