With the development of technologies, hacker tools and skills, phishing emails have become complex and difficult to recognize. Therefore, use of state-of-art technologies can minimize the risk behind the phishing attacks. Artificial intelligence (AI) techniques are used to identify the possibility of phishing before they can be communicated to a recipient. With the support of AI, the recipient can obtain a report that includes the persuasion strategies used in the email, such as authority, social proof, liking, and scarcity, urgency, etc., which are intended to influence individuals' behavior and persuade the victims to respond. In addition, the report includes the signs of a phishing email such as grammar and spelling mistakes, suspicious links and attachments, wrong email address of sender, mismatched URLs, etc., plagiarism percentage, and identifies the severity level of the risk before responding to it.
The disclosed technique filters phishing emails by performing a deep investigation and scanning for the following: