Phishing Attack Detecting System Using DNS and IP Filtering

Abstract

This study examines the different types of phishing attacks, which are a major threat to digital security. Phishing involves the use of fraudulent messages to deceive recipients, including email spoofing, spear phishing, phone phishing, clone phishing, pharming, HTTP phishing, man-in-the-middle attacks, and fast-flux phishing. Attackers can gather information about their targets from public sources such as social media networks, including work history, interests, and activities. The study developed a filtered website that detects fraudulent links based on the internet protocol (IP), register date, and domain name server (DNS) of each website. While further research is needed to improve the effectiveness of the site, this marks an important step towards enhancing digital security.