Abstract: In these tough times, during a pandemic, when a virus of the size of few microns has taken the whole world back. With the global economy declining, people are finding new ways to make money online, sometimes also through illegal means. Phishing is regarded as one of the most dangerous risks to internet users, and it is growing at an exponential rate. As a result, hackers have become more innovative in their assaults and have been able to execute them on a big scale. A phishing attack works by creating an accurate clone of an actual site and directing people to the site's page. Because the site's page is deceptive and identical to the actual, legitimate individuals are frequently duped into performing activities on such pages. Phishing is a type of assault that combines foundations of social engineering with emerging technological approaches. This wrapping of the faux site to appear to be the real one persuades the user to give their identity. Our system developed with the concepts of Hybrid learning which is a amalgamation of Machine Learning and Deep Learning, aims to detect such Phishing attacks by marking websites as legitimate or phishy.
Keywords: AWPG, Hybrid Learning, Link Guard Algorithm, Phishing attack, Website
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DOI:
10.17148/IJARCCE.2022.115128
