An Integrated Web-Based Approach for Email Analysis Investigation Tool

Phishing websites have often been used for online and email fraud, spreading unwanted content. It has been important to find them before any user data was entered. In recent years, numerous attempts have been made to identify these phishing websites. To identify phishing web pages, most current methods trained classification models using manually constructed lexical and statistical features from the textual content of websites. The time-consuming method of extracting hand-crafted features, which required specialized domain knowledge to determine which features were useful for a given platform, was one of the limitations of these phishing detection approaches. To address these issues, this project aimed to develop a website which is an Integrated Web-based Approach for Email Analysis Investigation Tool (IWAEAIT) that used an external API like Virus total to analyses phishing websites and ip-api to get the location of the email. The project's goal was to ensure that anyone could use this website to identify if an email was phishing or not, even if they had no prior IT experience. This project also included features like file attachment analysis and a feature that let users take a screenshot of the website without really visiting it to stop users from visiting phishing websites, URL scan analysis and email artefacts extractor to get the location of the email.