In recent years, there has been a notable increase in the number of cyberattacks caused by the change in the work model due to the pandemic. People were forced to work at home, away from the secure confines of a corporate network. Moreover, in the coming years the number, intensity and variety of these attacks are expected to keep increasing. Therefore, it is of vital importance to constantly track and adapt to the new techniques, vulnerabilities and malware used by the cybercriminals to understand your level of exposure against these new threats. This project aims to implement a semi-automated threat analysis system that can distribute and execute malware samples into sandboxed virtual machines. Once it has been executed, this system retrieves metrics of the results of each execution to observe the detection and blocking capacity of the machine against these threats
