As the Internet has transformed into a critical infrastructure, society has become more
vulnerable to its security flaws. Despite substantial efforts to address many of these …

Phishing attacks trick victims into disclosing sensitive information. To counter them, we
explore machine learning and deep learning models leveraging large-scale data. We …

Phishing is a security threat with serious effects on individuals as well as on the targeted
brands. Although this threat has been around for quite a long time, it is still very active and …

Explainable phishing detection approaches are usually based on references, ie, they
compare a suspicious webpage against a reference list of commonly targeted legitimate …

Phishing is a critical threat to Internet users. Although an extensive ecosystem serves to
protect users, phishing websites are growing in sophistication, and they can slip past the …

The ability of ChatGPT to generate human-like responses and understand context has made
it a popular tool for conversational agents, content creation, data analysis, and research and …

Phishing is a social engineering cyberattack where criminals deceive users to obtain their
credentials through a login form that submits the data to a malicious server. In this paper, we …

DNS can be compared to a game of chess in that its rules are simple, yet the possibilities it
presents are endless. While the fundamental rules of DNS are straightforward, DNS …

Phishing attacks are a critical and escalating cybersecurity threat in the modern digital
landscape. As cybercriminals continually adapt their techniques, automated phishing …

Existing literature on adversarial Machine Learning (ML) focuses either on showing attacks
that break every ML model, or defenses that withstand most attacks. Unfortunately, little …