Detect location spoofing and impossible travel with 99.9% accuracy

Location spoofing is when a visitor presents a geographic location different from their real physical location to slip past a location-based rule. The most common reasons are:

• Reaching geo-restricted content or streaming licensed only in certain regions.
• Claiming a regional promotion or price meant for another market.
• Manipulating ad geo-targeting to inflate high-CPM country bids.
• Hiding identity during account takeover, where stolen credentials originate in a different country.

Geolocation spoofing techniques include commercial VPNs, residential proxies, Tor, and anti-detect browsers that rewrite the network-layer location.

ShieldLabs surfaces location spoofing through several signals at once and returns a risk score with the signals behind it.

Spoofing geolocation is used to make a visitor appear from a country different from their real location, so they can bypass a region-based rule. The main use cases are:

• Access geo-restricted streaming or content licensed only in certain regions.
• Claim regional promotions and pricing meant for specific markets.
• Manipulate ad geo-targeting to inflate high-CPM country bids.
• Hide identity during account takeover, where stolen credentials originate in a different country.

At a practical level, a location spoofer often chains a VPN with a fresh browser profile to claim a country-locked welcome bonus, while a location faker working at scale inflates click attribution from premium-CPM regions for affiliate fraud rings.

ShieldLabs flags these attempts by correlating the egress IP, timezone, and connection signals against a persistent identifier that survives cleared cookies and rotated IPs.

The tools used for geolocation spoofing are commercial VPNs, residential proxy chains, Tor, browser extensions, and anti-detect browsers that rewrite location signals across several layers. They typically work like this:

• A geolocation spoofer reroutes traffic through a foreign exit node to fake the country at the IP layer.
• The spoofed geolocation passes basic IP lookups but conflicts with browser timezone, connection type, and prior session country.
• A geolocation faker chains a residential proxy with an anti-detect browser to make the inconsistency harder to surface.

ShieldLabs is built around the gap these tools leave behind: faking geolocation at one layer rarely keeps every other signal consistent, and that cross-layer mismatch is what ShieldLabs scores.

A geolocation mismatch is when two or more location-related signals on the same session disagree with each other and expose a spoofed location. Common mismatches include:

• IP country versus browser timezone.
• Connection type versus claimed location, such as a datacenter or residential proxy behind a "home" IP.
• The current country versus the visitor's prior country history.

ShieldLabs treats the mismatch itself as the signal: instead of trusting any single location source, it scores how consistently every layer describes the same visitor.

ShieldLabs detects location spoofing by analyzing 300+ device, browser, operating system, IP, and network-layer signals and surfacing the inconsistencies between them. It works across layers:

• Risk signals flag commercial VPNs, residential proxies, Tor, Privacy Relay, and anti-detect browsers.
• Cross-layer checks compare egress IP, browser timezone, connection type, and prior country history.
• High-Risk Events detect impossible travel and account takeover directly, correlating related sessions on the same account.

Whether a visitor is spoofing location through a commercial VPN, faking location through a residential proxy chain, or running an anti-detect browser, the inconsistencies surface at every layer.

ShieldLabs returns a 0-100 risk score and a full signal breakdown on the first visit through one JavaScript snippet, without collecting personal data, delivered via the analytics dashboard, API, and Webhooks.

Impossible travel detection identifies a returning visitor or account that appears in two geographically distant countries faster than physical travel allows, for example a login from New York and a second login from Tokyo within thirty minutes. The mechanics:

• It ties each session back to a persistent identifier, so the trail holds even after cleared cookies and rotated IPs.
• It compares the new country against the visitor's prior country history to catch jumps no real traveler could make.
• It is one of the most reliable signals for account takeover and stolen credentials.

ShieldLabs detects impossible travel directly as a High-Risk Event, with Medium or High confidence, using persistent visitor identification to track suspicious cross-country account activity.

Browser timezone versus IP timezone matching is a high-precision signal because the two values are derived independently, so a disagreement is hard to fake. How it works:

• The browser timezone comes from the visitor's operating system clock, read in real time through standard JavaScript APIs.
• The IP timezone is derived from IP geolocation against the egress IP.
• When the two disagree, for example a browser clock set to Asia while the IP routes through Europe, ShieldLabs returns a Browser timezone ≠ IP-timezone signal.

False positives stay low because legitimate travelers usually carry their device clock with them, and the signal never fires alone.

ShieldLabs reads this signal together with the rest of the risk signals, so the timezone mismatch only raises the risk score when other layers agree something is off.

Yes. ShieldLabs returns the signals you need to enforce your own geo restrictions, on top of the basic declared-country and IP-country checks most teams start with. The extra layers are:

• Risk signals for VPN, proxy, Tor, and Privacy Relay that expose hidden egress IPs.
• Timezone and connection-type mismatch signals that contradict a claimed location.
• Persistent visitor identification that catches geo-boundary crossing attempts across sessions and after cleared cookies.

ShieldLabs does not maintain sanctions or OFAC lists and makes no compliance certification claims; it returns signals that feed cleanly into the decision layer your team already runs.

Location spoofing detection asks whether every signal describes the same real visitor, not just whether one IP is a VPN, so it catches cases that standalone IP checks miss. The difference shows up at the edges:

• A VPN connection from a real US user to a US exit node looks suspicious to standalone VPN detection but reads as normal once timezone and country history agree.
• A residential proxy matching the user's country passes IP geolocation but breaks on connection-type and timezone mismatch.
• VPN and proxy detection is one layer; timezone parity, connection type, and prior-country history are the others.

ShieldLabs combines all of these into a single risk score, so a clean IP no longer hides a spoofed location and a privacy-conscious real user is not punished for one VPN hop.

ShieldLabs detects location spoofing and helps block fraudulent and abusive traffic. It returns a risk score, a full signal breakdown and High-Risk Events, and you choose the action for each case. A common setup looks like this:

• A Suspicious score (30-59) triggers additional verification or a re-authentication step.
• A Dangerous score (60-100) holds the session for manual review or blocks the geo-restricted action.
• The free tier includes 5,000 identifications, so you can see the results on your own traffic first.

ShieldLabs ships the full signal set behind location spoofing detection on the Starter plan, with High-Risk Events and a 0-100 risk score on every session, and public plans from 79 USD a month for 25,000 identifications.