How does using AI/ML improve the detection of phishing sites?

Utilizing AI/ML to enhance the detection of phishing sites is particularly effective because these technologies can analyze vast amounts of data in real time, identifying patterns and anomalies. By focusing on HTML content and domain age, AI/ML algorithms can evaluate the characteristics of a website that could indicate its legitimacy or fraudulent intent.

For instance, examining HTML content allows the system to detect deceptive designs or scripts commonly used in phishing attacks. This includes identifying patterns that mimic legitimate sites or the presence of certain keywords associated with phishing. Additionally, analyzing domain age helps to assess the credibility of a website; newly registered domains are often used for phishing before they are shut down.

This level of analysis is beyond human capability when dealing with the scale and speed at which these threats can appear, making AI/ML an essential tool for improving the detection and prevention of phishing sites. The other options relate to aspects that do not directly contribute to identifying phishing threats through advanced analytical techniques.