Virtual sandbox for malware analysis and threat detection

The study consists of a thorough explanation of the development of a virtual sandbox which analyses malware and carries out threat detection. The methodology used for this research is Agile which ensured the effective isolation of suspicious software. Recon-ng for reconnaissance, decoy techniques for threat diversion, and AI-driven analysis for threat identification are the key components of this research. The regular testing and feedback were fundamental to refine the sandbox's capabilities, which led to a solution that enhances security by detecting and evaluating malicious behavior in a controlled environment.