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Recent years have seen the development of phishing detection and identification approaches to defend against phishing attacks. Phishing detection solutions often report binary results, ie, phishing or not, without any explanation. In contrast, phishing identification approaches identify phishing webpages by visually comparing webpages with predefined legitimate references and report phishing along with its target brand, thereby having explainable results. However, there are technical challenges in visual analyses that limit existing solutions from being effective (with high accuracy) and efficient (with low runtime overhead), to be put to practical use.