Deep Defender: Smart detection of phishing websites

Phishing is a consistent threat causing internet users to provide sensitive details in fictitious network environments. Current detection tools tend to sacrifice accuracy and timeliness of response, in doing which the threat exposure level is increased for the users. Here is presented a system based on machine learning intended to detect phishing URLs in the moment, with the aim of enhancing general online footprint safety. Based on the RNN-GRU algorithm, the system tries to maximize the effectiveness and promptness of phishing URL detection. The introduction of this approach brings an effective shield against phishing, a considerable increase in users protection in the digital era.