ANY.RUN, an advanced Interactive Sandbox designed to revolutionize Linux malware traffic analysis offers real-time, dynamic analysis capabilities, empowering researchers and security teams to more effectively uncover malicious network activities associated with Linux-based threats. This Linux botnet malware, analyzed in ANY.RUN’s sandbox, hijacked the virtual machine and attempted to establish connections with over 700 different IP addresses, demonstrating its DDoS capabilities: View analysis session with Gafgyt. A notorious IoT-targeting malware, Mirai’s behavior was automatically detected in the ANY.RUN sandbox, revealing its communication patterns and attempts to establish connections with remote servers: View analysis session with Mirai attack. This comprehensive network analysis, combined with other behavioral observations, enables security professionals to quickly identify malicious patterns, understand malware functionality, and develop effective countermeasures. This guide explores how traffic analysis aids in malware detection, the essential tools used for this process, and real-world examples of Linux malware analyzed in ANY.RUN’s Interactive Sandbox. As Linux-based malware continues to evolve, ANY.RUN’s Interactive Sandbox represents a significant advancement in the cybersecurity toolkit, offering a more efficient and comprehensive approach to threat analysis and mitigation. Network traffic analysis has emerged as one of the most effective methods for detecting and investigating linux based malware infections . Network requests: All outbound connections initiated by the malware are captured, revealing potential command and control (C2) servers or data exfiltration attempts.
This Cyber News was published on cybersecuritynews.com. Publication date: Thu, 06 Mar 2025 17:55:18 +0000