7 Ways to Protect Against Cryptomining Attacks

Implementing basic security hygiene can go a long way in ensuring your systems and website don't get hijacked.

8 Slides

Cybercriminals are increasingly hijacking enterprise systems and websites for cryptocurrency mining.

Crowdstrike and several other security vendors have recently reported incidents where businesses have suffered serious application - and operational - disruptions after attackers took over their systems to mine for Monero, and to a lesser extent, other digital currencies like Ethereum and Zcash.

In many other instances, criminals are surreptitiously installing cryptominers on websites and hijacking systems belonging to people visiting the sites.

Unlike ransomware and other malware, cryptominers are often legitimate software tools that are not always detected by anti-malware products. Since the only thing they do is use a system's CPU resources to crunch algorithms, cryptomining tools can sometime run invisibly without anyone detecting them. Many cryptomining tools deliberately throttle CPU and power usage so their presence on a system becomes even more unobtrusive. In fact, performance slowdowns often are the only indication that a computer has been hijacked for cryptocurrency mining.

Like many other unwanted software tools, cryptocurrency-mining software presents a threat mainly to organizations that fail to follow basic and long-prescribed security hygiene. The tools are distributed like any other malware product, and protecting against them requires the same measures.

Here are some of the best practices you should already be following to protect against cryptomining tools - and any malware.

 

About the Author

Jai Vijayan, Contributing Writer

Jai Vijayan is a seasoned technology reporter with over 20 years of experience in IT trade journalism. He was most recently a Senior Editor at Computerworld, where he covered information security and data privacy issues for the publication. Over the course of his 20-year career at Computerworld, Jai also covered a variety of other technology topics, including big data, Hadoop, Internet of Things, e-voting, and data analytics. Prior to Computerworld, Jai covered technology issues for The Economic Times in Bangalore, India. Jai has a Master's degree in Statistics and lives in Naperville, Ill.

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