{"id":7094,"date":"2024-02-22T06:51:25","date_gmt":"2024-02-22T06:51:25","guid":{"rendered":"\/cybersecurity-blog\/?p=7094"},"modified":"2024-09-20T12:14:20","modified_gmt":"2024-09-20T12:14:20","slug":"linux-malware-analysis-cases","status":"publish","type":"post","link":"https:\/\/any.run\/cybersecurity-blog\/linux-malware-analysis-cases\/","title":{"rendered":"Analyzing Linux Malware in ANY.RUN:
3 examples"},"content":{"rendered":"\n

Although Linux is often regarded, and indeed is, less susceptible to attacks than Windows \u2014 partly because it\u2019s not as widespread, it is not immune to malware. In fact, certain types of malware, such as DDoS botnets, are more prevalent on Linux systems than on Windows systems. <\/p>\n\n\n\n

It\u2019s no secret that Linux servers are widely deployed in enterprise environments. This attracts hackers who seek a higher return on their investment. As a result, Linux malware saw<\/a> a 50% increase in 2022 \u2014 a historical record. <\/p>\n\n\n\n

Why it\u2019s important to analyze Linux malware <\/h2>\n\n\n\n

So, how do you protect your organization against Linux threats? The answer is complex and a bit beyond the scope of this article. But a big part of hardening your security posture is to analyze the malware samples you encounter. <\/p>\n\n\n\n

It’s crucial to understand how they behave on a system. This way you will be able to collect IOCs they leave behind, and accordingly set up WAF, SIEM, or SOAR systems. <\/p>\n\n\n\n

Let’s analyze four such cases together in ANY.RUN<\/a>: <\/p>\n\n\n\n

1. Analyzing Mirai, Botnet on Linux  <\/h2>\n\n\n\n

Mirai is a type of malware that transforms network-connected Linux devices into remotely controlled bots, often referred to as “zombies.” These compromised devices are then used to carry out Distributed Denial of Service attacks. This means that after a Mirai infection, your servers could become sources of DDoS traffic. <\/p>\n\n\n

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The Threats<\/strong> section highlights malicious network activity<\/figcaption><\/figure><\/div>\n\n\n

In the example, we can observe the botnet’s actions in an ANY.RUN task<\/a> by visiting the threats tab<\/strong>. <\/p>\n\n\n\n

(Read how ANY.RUN helps analyze network threats<\/a>) <\/p>\n\n\n

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The Threat Details window shows a Suricata rule used for detecting Mirai<\/figcaption><\/figure><\/div>\n\n\n

Because Mirai is active on the network, we can analyze which Suricata rules were triggered and examine them in the Threats tab.<\/p>\n\n\n\n\n

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\nLearn how ANY.RUN<\/span> can improve your org’s security \n<\/p>\n\n\nSchedule a call\n<\/a>\n<\/div>\n\n\n\n