Characterizing Malicious URL Campaigns
Mahathir Almashor, Ejaz Ahmed, Benjamin Pick, Sharif Abuadbba, Raj, Gaire, Seyit Camtepe, Surya Nepal

TL;DR
This paper analyzes 311 million URLs to identify and characterize malicious campaigns, revealing patterns, evasion tactics, and factors affecting detection rates to improve cybersecurity defenses.
Contribution
It introduces a large-scale analysis of malicious URL campaigns, providing new insights into their characteristics, techniques, and detection challenges based on extensive real-world data.
Findings
Detection rates drop to 13.27% for campaigns with over 100 URLs
Identified 2.6 million suspicious campaigns, 77,810 confirmed malicious
Insights into targeted brands and URL heterogeneity
Abstract
URLs are central to a myriad of cyber-security threats, from phishing to the distribution of malware. Their inherent ease of use and familiarity is continuously abused by attackers to evade defences and deceive end-users. Seemingly dissimilar URLs are being used in an organized way to perform phishing attacks and distribute malware. We refer to such behaviours as campaigns, with the hypothesis being that attacks are often coordinated to maximize success rates and develop evasion tactics. The aim is to gain better insights into campaigns, bolster our grasp of their characteristics, and thus aid the community devise more robust solutions. To this end, we performed extensive research and analysis into 311M records containing 77M unique real-world URLs that were submitted to VirusTotal from Dec 2019 to Jan 2020. From this dataset, 2.6M suspicious campaigns were identified based on their…
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Taxonomy
TopicsSpam and Phishing Detection · Advanced Malware Detection Techniques · Network Security and Intrusion Detection
