How Attackers Use VPNs to Bypass Fraud Detection

An e-commerce platform notices a massive spike in high-value orders from users located in London. The credit cards process successfully, the addresses look legitimate. But 48 hours later, the chargebacks begin. A coordinated credential stuffing attack successfully placed fraudulent orders. How did the attackers bypass the geo-fencing and velocity limits? By hiding behind residential proxies and commercial VPNs.

Virtual Private Networks (VPNs) and proxy networks are inherently dual-use technologies. While they provide essential privacy for journalists, remote workers, and everyday citizens, they are simultaneously the foundational infrastructure for cybercrime. For fraud and security teams, distinguishing between a privacy-conscious customer and an attacker masking their identity is the ultimate cat-and-mouse game.

The Physics of IP Masking

Basic anti-fraud systems rely heavily on geolocation and IP blacklists. Attackers circumvent this using several sophisticated masking techniques:

• Datacenter VPNs: Commercial VPNs (like NordVPN or ExpressVPN) route traffic through massive datacenter IPs. While cheap for attackers to use, they are incredibly easy to detect because entire IP blocks are registered to hosting providers rather than consumer ISPs.
• Residential Proxies: This is a severe threat. Attackers hijack IoT devices (smart TVs, routers) or install malware on home PCs, using them to route malicious traffic. The IP appears as a perfectly legitimate residential connection (e.g., Comcast or AT&T), bypassing datacenter filters.
• Tor Exist Nodes: Using the Tor anonymity network routes traffic through randomized global exit nodes, completely obfuscating the origin.

Exposing Proxies with IPScanner.in

You cannot fight proxy abuse manually. You need deep intelligence that looks beyond the surface IP address to identify the behavioral characteristics of the network.

Using the IPScanner.in Reputation Scanner allows fraud teams to immediately unmask the true nature of an incoming connection:

1. Run the IP Analysis: Paste the suspicious transaction's IP into the scanner.
2. Check the "Geographic Data" Card: Look specifically for the "Tor Node" or "Proxy/VPN" badges. The tool utilizes advanced machine learning to detect patterns indicative of commercial proxy services.
3. Analyze the ASN and Usage Type: This is the smoking gun. If an order claims to be from a residential address in Ohio, but the "Network Identity" card shows the usage type is "Data Center/Web Hosting" and the ASN belongs to DigitalOcean or AWS, you are almost certainly dealing with a masked attacker. Real residential users do not browse from cloud hosting providers.

Building Resilient Defenses

You shouldn't outright ban all VPNs—doing so alienates legitimate privacy-conscious customers and corporate users. Instead, implement a risk-based scoring system:

• Increase Friction for Data Centers: If the IPScanner.in results show a datacenter or VPN IP, do not block the transaction, but route it through tighter fraud checks. Require a 3D-Secure challenge or manual review for high-value carts.
• Auto-Reject Known Threat Nodes: If the scanner flags the IP positively for "Malware Hosting" or an active "Tor Exit Node," configure your WAF (Web Application Firewall) to automatically drop the connection.
• Velocity Monitoring: Attackers rotate proxies rapidly. Monitor for velocity—multiple accounts logging in from the same VPN subnet within a short timeframe is a high-confidence indicator of a credential stuffing attack.