Detecting VPN Usage in IP Logs: Methods and Implications from a Cybersecurity Investigation

In a cybersecurity investigation into suspected contract cheating, an analyst used MaxMind’s geolocation service to examine IP logs and identified inconsistencies, such as connections from Kenya via Safaricom while the individual was purportedly in Australia. This case illustrates the challenges and methods for detecting VPN usage in IP logs. Responses in the discussion highlight practical approaches for identifying VPNs. One method involves using IP reputation services that maintain databases of known VPN IPs, such as IPinfo or Bright Data. These services can flag IPs associated with VPN providers, helping to confirm suspicions raised by geolocation discrepancies. Another approach is to check if the IP falls within known ranges used by VPN providers, which can be obtained from commercial databases or threat intelligence feeds. The investigation underscores the importance of IP intelligence in cybersecurity, particularly in cases where location obfuscation is suspected. For cybersecurity professionals, integrating IP reputation services and monitoring for unusual geolocation patterns can provide actionable intelligence to detect and mitigate potential threats. This case demonstrates how VPN detection techniques can be applied in real-world scenarios to uncover deceptive practices. The ability to detect VPN usage is critical in this context, as it can provide evidence of attempts to bypass geographic restrictions or hide true locations, which is relevant not only to academic integrity but also to broader cybersecurity concerns such as fraud detection and threat investigation.