Fraudulent browsers can be detected by looking for a variety of factors, which can be implemented in rules. For example, the use of privacy tools or attempts to mask location by using VPNs and proxies could indicate fraudulent activity. Additionally, unusual behavior such as automation or bot activity could also be a sign of fraud. Other factors that may indicate that a browser is fraudulent include the use of rooted or emulated devices. By analyzing these and other data points, it is possible to identify and flag potentially fraudulent browsers.