5 citations · 6 across the 6 of their papers we have counts for
6 papers
Can LLMs Reason About Brand Ownership? An Empirical Study of Domain Attribution Intelligence
Fathima Mashood, Mohamed Nabeel
When a new domain resembling a popular brand appears, defenders face a fundamental ambiguity: it may be an attacker-created squatting site for phishing, or it may be a domain the b…
A Longitudinal Study of Recently Observed Malicious Domains: Characteristics, Infrastructure, and Abuse Patterns
Fathima Mashood, Mohamed Nabeel
We present a longitudinal study of approximately 1.52 million malicious domains observed on VirusTotal (VT) between January and May 2026. Domains were selected on the basis of dete…
PDNS-Net: A Large Heterogeneous Graph Benchmark Dataset of Network Resolutions for Graph Learning
Udesh Kumarasinghe, Fatih Deniz, Mohamed Nabeel
In order to advance the state of the art in graph learning algorithms, it is necessary to construct large real-world datasets. While there are many benchmark datasets for homogeneo…
CGraph: Graph Based Extensible Predictive Domain Threat Intelligence Platform
Wathsara Daluwatta, Ravindu De Silva, Sanduni Kariyawasam +4
Ability to effectively investigate indicators of compromise and associated network resources involved in cyber attacks is paramount not only to identify affected network resources…
Uncovering IP Address Hosting Types Behind Malicious Websites
Nimesha Wickramasinghe, Mohamed Nabeel, Kenneth Thilakaratne +2
Hundreds of thousands of malicious domains are created everyday. These malicious domains are hosted on a wide variety of network infrastructures. Traditionally, attackers utilize b…
Malicious and Low Credibility URLs on Twitter during the AstraZeneca COVID-19 Vaccine Development
Sameera Horawalavithana, Ravindu De Silva, Mohamed Nabeel +3
We investigate the link sharing behavior of Twitter users following the temporary halt of AstraZeneca COVID-19 vaccine development in September 2020. During this period, we show th…