PhishWHO: Phishing webpage detection via identity keywords extraction and target domain name finder

• Exploit URL patterns based on the proposed N-gram model to extract identity keywords
• Attain robustness in detecting phishing webpages hosted in any language
• Offers long-term effectiveness by leveraging on permanent phishing characteristic
• Achieve higher accuracy in finding target identity by using compromise programming
• Suppress false positives by exploiting indirect identity relationships

This paper proposes a phishing detection technique based on the difference between the target and actual identities of a webpage. The proposed phishing detection approach, called PhishWHO, can be divided into three phases. The first phase extracts identity keywords from the textual contents of the website, where a novel weighted URL tokens system based on the N-gram model is proposed. The second phase finds the target domain name by using a search engine, and the target domain name is selected based on identity-relevant features. In the final phase, a 3-tier identity matching system is proposed to determine the legitimacy of the query webpage. The overall experimental results suggest that the proposed system outperforms the conventional phishing detection methods considered.