Network traffic analysis is one of the most effective ways to detect and investigate malware infections. By analyzing communication patterns, researchers and security teams can uncover signs of malicious activity, such as command-and-control (C2) connections, data exfiltration, or DDoS attacks. <\/p>\n\n\n\n
In this guide, we’ll explore how traffic analysis helps detect malware, the key tools used for this purpose, and real-world examples of Linux malware analyzed in ANY.RUN’s Interactive Sandbox<\/a>. <\/p>\n\n\n\n Some types of malware rely on network communication to receive commands, exfiltrate stolen data, spread across systems, or launch attacks. That\u2019s why network traffic analysis is one of the most effective ways to detect and investigate malware infections. <\/p>\n\n\n\n By looking at how data flows in and out of a system, you can reveal a variety of malicious activities that might otherwise go unnoticed. <\/p>\n\n\n\n Some malware turns infected devices into zombies within a botnet<\/a>, instructing them to flood a target server with requests. This can cause service disruptions, slow down websites, or even take entire networks offline. <\/p>\n\n\n\n\nHow Traffic Analysis Helps Detect Malware <\/h2>\n\n\n\n
1. Distributed Denial-of-Service (DDoS) Attacks <\/h3>\n\n\n\n
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