Phishing is a type of social web-engineering attack in cyberspace where criminals steal
valuable data or information from insensitive or uninformed users of the internet. Existing …

Purpose This paper aims to present a framework to detect phishing websites using stacking
model. Phishing is a type of fraud to access users' credentials. The attackers access users' …

Phishing has become one of the biggest and most effective cyber threats, causing hundreds
of millions of dollars in losses and millions of data breaches every year. Currently, anti …

Phishing is a fraudulent practice and a form of cyber-attack designed and executed with the
sole purpose of gathering sensitive information by masquerading the genuine websites …

Phishing has become a prevailing method for attackers to steal users' private data and
commit fraud, posing a serious threat to Internet users. How to detect phishing websites has …

Currently, the increasing number of high-volume phishing attacks is among the largest
threats to networking environments on a daily basis. During such a severe attack …

Phishing has become a favorite method of hackers for committing data theft and continues to
evolve. As long as phishing websites continue to operate, many more people and …

Phishing attackers spread phishing links through e-mail, text messages, and social media
platforms. They use social engineering skills to trick users into visiting phishing websites and …

As a crime of employing technical means to steal sensitive information of users, phishing is
currently a critical threat facing the Internet, and losses due to phishing are growing steadily …

In this paper, we mainly present a machine learning based approach to detect real-time
phishing websites by taking into account URL and hyperlink based hybrid features to …