A First Look at the Crypto-Mining Malware Ecosystem: A Decade of Unrestricted Wealth
Sergio Pastrana, Guillermo Suarez-Tangil

TL;DR
This paper presents the largest-scale measurement and analysis of crypto-mining malware over twelve years, revealing campaign structures, profit estimates, and underground infrastructure supporting illicit mining activities.
Contribution
It introduces an automated measurement pipeline analyzing 4.5 million samples, providing comprehensive insights into the scale, profits, and techniques of crypto-mining malware campaigns.
Findings
Multi-million dollar earnings from illicit campaigns
Over 4.4% of Monero linked to illicit mining
Widespread use of underground services like Pay-Per-Install
Abstract
Illicit crypto-mining leverages resources stolen from victims to mine cryptocurrencies on behalf of criminals. While recent works have analyzed one side of this threat, i.e.: web-browser cryptojacking, only commercial reports have partially covered binary-based crypto-mining malware. In this paper, we conduct the largest measurement of crypto-mining malware to date, analyzing approximately 4.5 million malware samples (1.2 million malicious miners), over a period of twelve years from 2007 to 2019. Our analysis pipeline applies both static and dynamic analysis to extract information from the samples, such as wallet identifiers and mining pools. Together with OSINT data, this information is used to group samples into campaigns. We then analyze publicly-available payments sent to the wallets from mining-pools as a reward for mining, and estimate profits for the different campaigns. All this…
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Taxonomy
TopicsAdvanced Malware Detection Techniques · Cybercrime and Law Enforcement Studies · Spam and Phishing Detection
