Virtual machines (VMs) are versatile software applications that simulate physical computers, widely used in software testing, development, and cloud computing to optimize resource utilization. However, their legitimate use is exploited by fraudsters who employ VMs for cloaking techniques to anonymize their activities, making it challenging to detect and prevent fraudulent actions. Fraudsters can manipulate virtual environments to mimic genuine user behavior, clone browser fingerprints, and mask their identities. Detection of VMs is a crucial aspect of robust fraud prevention strategies, enabling businesses to differentiate between real users and potential fraudsters. Device identification, including virtual machine detection, enhances security measures by gathering device attributes to create a unique fingerprint, aiding in recognizing fraudulent intent. Integrating VM detection with existing security measures and keeping technology updated against evolving fraud tactics can fortify defenses without compromising user experience. Solutions like Fingerprint provide tools for detecting virtual environments, offering businesses a comprehensive approach to reducing fraud risks while maintaining effective software development processes.