Phishing is a type of security threat that loots users' personal credentials such as online
banking, credit card numbers, card verification value (CVV) numbers, automated teller …

We introduce a state-of-the-art approach for URL categorization that leverages the power of
Large Language Models (LLMs) to address the primary objectives of web content filtering …

Email phishing has become more prevalent and grows more sophisticated over time. To
combat this rise, many machine learning (ML) algorithms for detecting phishing emails have …

Web-based phishing accounts for over 90% of data breaches, and most web-browsers and
security vendors rely on machine-learning (ML) models as mitigation. Despite this, links …

ML-based Phishing URL (MLPU) detectors serve as the first level of defence to protect users
and organisations from being victims of phishing attacks. Lately, few studies have launched …

Phishing attacks use fraudulent websites that trick people into disclosing sensitive
information. More effective and precise methods are required to identify phishing websites …

In the 21st century, majority of the population in the world are connected to the Internet as
the Internet allows them to do various of activities with just one click. However, with the …

Due to the onset of the pandemic in previous years, industries have shifted to the use of
digitalized services. Since most transactions were done online, people have become more …