Optimización del Análisis de Malware en Laboratorios Virtualizados

Current research socializes malware analysis in virtualized environments, highlighting the relevance of static and dynamic analysis approaches in today's cybersecurity. It aims to provide a controlled environment to assess threats and develop more effective defense strategies against sophisticated cyber-attacks. The methodology includes a test lab that simulates computer attacks using technologies such as VMware, Kali Linux, and Wireshark, employing Venom RAT malware to study the behavior of attacks and their interaction with compromised systems. The main results highlight the importance of dynamic methodologies for malware detection, and how machine learning solutions can improve detection, although they face challenges due to unbalanced data. In conclusion, this experimental approach strengthens cyber protection strategies and facilitates a deep understanding of attack techniques, contributing to strengthening resilience against emerging threats.