The rapid growth in the number of devices and their connectivity has enlarged the attack
surface and made cyber systems more vulnerable. As attackers become increasingly …

Spear-phishing attacks present a significant security challenge, with large language models
(LLMs) escalating the threat by generating convincing emails and facilitating target …

Recently, phishing scams have posed a significant threat to blockchains. Phishing detectors
direct their efforts in hunting phishing addresses. Most of the detectors extract target …

The landscape of cyber threats is constantly changing, with spear phishing representing a
particularly stealthy and prevalent risk. This review paper examines the integration of …

Phishing is the most common and effective sort of attack employed by cybercriminals to
deceive and steal sensitive information from innocent Web users. Researchers have …

Phishing remains a pervasive cyber threat, as attackers craft deceptive emails to lure victims
into revealing sensitive information. While Artificial Intelligence (AI), particularly deep …

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 …

Phishing emails pose a significant contemporary challenge on the Internet, resulting in
financial losses for organizations and causing frustration for users. Phishing is a deceptive …

The high-volume usage of email has attracted cybercriminals to the platform and criminals
are aware of difficulties users often have in separating legitimate from illegitimate emails and …

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 …