ExplorerComputer ScienceCybersecurity
Research PaperResearchia:202606.10015

A Longitudinal Study of Recently Observed Malicious Domains: Characteristics, Infrastructure, and Abuse Patterns

Fathima Mashood

Abstract

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 detection by at least five independent VT scanning engines and a first-seen date within the study window. We group the dataset into compromised domains and attacker created domains, which account for approximately 89.3% of the dataset. Combining WHOIS registration records and passive DNS (PDNS) data with the VT dataset, we...

Submitted: June 10, 2026Subjects: Cybersecurity; Computer Science

Description / Details

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 detection by at least five independent VT scanning engines and a first-seen date within the study window. We group the dataset into compromised domains and attacker created domains, which account for approximately 89.3% of the dataset. Combining WHOIS registration records and passive DNS (PDNS) data with the VT dataset, we characterise attacker behaviour across eight dimensions: temporal distribution, compromisedvs.attack classification, domain age at first detection, registrar and TLD preferences, DNS query volume as a damage proxy, hosting infrastructure concentration (IP and ASN level), bulk registration patterns, and brand impersonation. Key findings include: the majority of attacker created domains are short lived registrations used within weeks of creation; a small number of registrars and TLDs account for most abuse; Cloudflare infrastructure is heavily exploited for domain fronting; bulk registration events involving thousands of domains from a single registrar on a single day are widespread; and several global brands, particularly WhatsApp and Google, are heavily impersonated. We share the annotated dataset in the GitHub repo https://github.com/mufimash/malicious_domains for further research.


Source: arXiv:2606.11111v1 - http://arxiv.org/abs/2606.11111v1 PDF: https://arxiv.org/pdf/2606.11111v1 Original Link: http://arxiv.org/abs/2606.11111v1

Please sign in to join the discussion.

No comments yet. Be the first to share your thoughts!

Access Paper
View Source PDF
Submission Info
Date:
Jun 10, 2026
Topic:
Computer Science
Area:
Cybersecurity
Comments:
0
Bookmark