Identifying Phishing Through Web Content and Addressed Bar-Based Features

Phishing which can also be called spoofing is mainly used to explain an approach being used by Internet scammers or cybercriminals to lure a genuine Internet user into revealing vital, confidential and classified information with the intention of using information gathered against them. Through this form of vulnerability, cybercriminals use the information obtained to gain access into personal information to rob individual of valuables ranging. Since Internet users have increased gloabally, the number of people accessing email, social media and only transaction has increased accordingly. The upsurge in the number of Internet user has therefore enhanced the nefarious activities of the cybercriminals. Verification and checking of address bar features and content of web were adopted in handling phishing detection in this work. Efforts were made to properly study various features of websites considered as phishing as well as those that match the research work. To verify the efficiency of the system, a dataset comprising of phishing websites was downloaded from the popular phishing sites. To start with, a total number of 110 Universal Resource Locators (URLs) considered to be phishing were verified where the system was able to detect 88 websites considered to be phishing while only twenty two (22) URLs were detected as non-phishing websites. With this result, the efficiency and accuracy level of the system is put at 80%.