What indicators may suggest a candidate or worker is masking their location?
Potential indicators include repeated VPN usage, residential proxy activity, frequent geographic inconsistencies, remote-access tooling, rapid location changes, and infrastructure patterns inconsistent with the worker's claimed location.
Similar questions
How can organizations use Spur IP intelligence within a fraud decisioning workflow?
Many organizations incorporate Spur IP intelligence into risk-scoring models, adaptive authentication systems, transaction reviews, account creation workflows, and trust-and-safety investigations. Spur IP intelligence is most effective when combined with behavioral, device, and identity signals.
Can Spur IP intelligence help identify coordinated fraud rings?
Fraud rings frequently share infrastructure, anonymization services, proxy providers, or geographic patterns. Spur's Infrastructure-level intelligence can help uncover relationships that may not be visible when reviewing accounts individually.
How can organizations reduce false positives when using Spur IP intelligence?
Organizations should avoid making decisions based on a single signal. VPN usage, proxy detection, geographic anomalies, and infrastructure classifications are most effective when evaluated together with customer history, transaction context, and other risk indicators.
Why isn't traditional IP geolocation enough to enforce geographic restrictions?
Traditional geolocation only identifies where an IP address appears to be located. It does not reveal whether traffic is being routed through a VPN, residential proxy, mobile proxy, or other anonymization service. As a result, users can appear to originate from approved locations while actually operating elsewhere.
What signals can indicate possible location spoofing?
Potential indicators include VPN usage, proxy activity, mismatches between an IP's expected and observed location, infrastructure classifications that conflict with expected user behavior, unusual location changes, and inconsistencies between geographic, device, and behavioral information.
Related guides & explainers
Why Residential Proxy Classifications Can Appear on Legitimate Infrastructure
Residential proxy networks recruit real consumer devices to relay traffic, so a legitimate ISP's own IP ranges can show a residential-proxy classification without the ISP's knowledge or involvement.
What "Client Proxies" Means in Spur Data
"Client Proxies" in Spur data describes proxy-network activity Spur observed coming from an IP — it does not mean the IP is owned or operated by the listed provider.
Troubleshooting Sign-in, SAML and SSO
Can't sign in to Spur? Work through the common causes: how sign-in works, corporate email checks, password resets, finding your organization, and SAML single sign-on.
How Spur IP Classifications Work: Observed Behavior, Not IP Ownership
Spur classifications describe what was observed happening on an IP during a given window, not who owns the IP or ASN — a key distinction when investigating a classification that looks wrong.