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IP Query for Anti-Wool Pulling: A Mandatory Course for E-commerce Risk Control

Updated
3 min read
IP Query for Anti-Wool Pulling: A Mandatory Course for E-commerce Risk Control

Wool Pulling: The Underestimated Systemic Risk

The term “wool pulling” sounds harmless, but for e-commerce platforms, it’s a silent war causing tens of billions in annual losses.

Those “small discounts” you see? Behind them could be black market teams using device farms to register thousands of fake accounts, snatching up all promo codes in the first millisecond of a flash sale. That “normal user”? Possibly just one of hundreds of proxy nodes rotating through a single IP segment.

What’s more alarming is that fraudsters’ tactics keep evolving. Traditional risk control measures — facial recognition, SMS verification, device fingerprinting — are increasingly inadequate against large-scale attacks. And the answer often lies in what we overlook most: the IP address behind every request.

Why IP Query Is the Frontline of Risk Control

An IP address is the “ID number” of the digital world.

Every user accessing your platform carries an IP address. This address reveals far more than most realize: geographic location, network environment (home broadband or data center), whether they’re using a proxy or VPN, historical behavior records…

By querying IP location, you can quickly determine: Is a visitor claiming to be a “Beijing user” actually coming from a known high-risk IP segment? Does a newly registered account have a login IP completely different from its registration IP?

This is why professional IP query services (like IPing) provide street-level precise positioning — it lets risk control systems see not just “someone visited,” but “who visited.”

Three Major Wool Pulling Tactics and IP Countermeasures

Tactic 1: Batch Registration — Account Blacklists Under the Same IP

Mass account registration via scripts is industry standard among fraudsters. Detection method: Same IP segment registering numerous accounts in a short time? Associated accounts exceeding normal user patterns? Mark as high-risk immediately.

Advanced approach: IP data API call examples help you query an IP’s type label in real-time — residential IP or data center IP? Any historical black records? One API response lets your risk decisions move faster.

Tactic 2: Geographic Location Spoofing — The VPN User Detector

“I’m not in China, I’m in the US” — this claim is common in cross-border promotions. Fraudsters use VPNs or proxy servers to spoof IPs, bypassing regional restrictions.

The solution is simple: Street-level IP positioning can penetrate some proxies to reveal a visitor’s true geographic location. When IP positioning shows the user in “United States” but GPS shows “Shenzhen,” the system can immediately trigger CAPTCHA or block access.