{"id":13868,"date":"2025-05-27T11:25:00","date_gmt":"2025-05-27T11:25:00","guid":{"rendered":"\/cybersecurity-blog\/?p=13868"},"modified":"2025-05-27T14:04:35","modified_gmt":"2025-05-27T14:04:35","slug":"how-to-analyze-malware-threats","status":"publish","type":"post","link":"https:\/\/any.run\/cybersecurity-blog\/how-to-analyze-malware-threats\/","title":{"rendered":"How to Analyze Node.js, Python, Android, and Linux Malware with ANY.RUN\u00a0"},"content":{"rendered":"\n

Malware doesn\u2019t stick to one platform or play fair. One day it\u2019s a Python stealer. The next, it\u2019s an Android RAT or a Node.js backdoor quietly pinging its C2. Then it hits Linux, flooding your network with suspicious connections. <\/p>\n\n\n\n

Modern threats are unpredictable. They move across systems and languages, often slipping past tools that weren\u2019t built for this level of complexity. <\/p>\n\n\n\n

ANY.RUN\u2019s cloud-based sandbox<\/a> gives companies and SOC teams<\/a> the flexibility to investigate these threats. <\/p>\n\n\n\n

One sandbox where you can analyze, detect, and understand malware and phishing, no matter the OS, architecture, or language. With support for Windows<\/a>, Linux<\/a>, and Android<\/a>, you can choose the environment that fits your sample and see how the same threat behaves across platforms. Just upload, launch, and start investigating. <\/p>\n\n\n\n

Let\u2019s see how cybersecurity teams use ANY.RUN to detect and analyze malware written in languages like Python and Node.js, and built to target different systems. <\/p>\n\n\n\n

Malware Written in Node.js: Unpacking GootLoader\u2019s Multi-Stage Execution <\/h2>\n\n\n\n

JavaScript isn\u2019t just for websites anymore, and that\u2019s part of the problem. Threat actors increasingly use JavaScript and Node.js to build droppers, stealers, and loaders that can bypass traditional defenses.  <\/p>\n\n\n\n

For businesses, these threats often arrive disguised as legitimate files, especially in environments where document sharing and template downloads are common. Once executed, they can trigger multi-stage infections, establish persistence, and pull down additional payloads without leaving obvious traces. <\/p>\n\n\n\n

To see how a Node.js-based attack unfolds in the real world, let\u2019s analyze a live GootLoader<\/a> infection inside the ANY.RUN sandbox. <\/p>\n\n\n\n

View analysis of Node.js threat<\/a> <\/p>\n\n\n\n

The attack begins when a user lands on a compromised website while searching for something business-related, like a contract template.  <\/p>\n\n\n

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Analysis of the Gootloader Node.js malware inside ANY.RUN\u2019s Interactive Sandbox<\/em> <\/figcaption><\/figure><\/div>\n\n\n

The site delivers a ZIP file containing a trojanized JavaScript file posing as a common library (e.g., jQuery). Once opened, the script runs via wscript.exe, launching a heavily obfuscated payload. <\/p>\n\n\n\n\n

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