🛡️ GPS Spoofing Detection API

Protecting your application from location fraud is critical for regulatory compliance and fraud prevention. Peabody SDKs use multi-layered telemetry to ensure that location data is genuine.

How Bad Actors Spoof Location

Location fraud has evolved from simple software "mocking" to sophisticated hardware and OS-level manipulation. Common methods include:

• Mock Location Apps: Using Android's "Developer Options" to feed fake coordinates to the OS.
• Simulator/Emulator Exploits: Running apps on modified environments where GPS data can be injected via scripts or GPX files.
• Root & Jailbreak Tweaks: Installing system-level hooks that intercept OS-level location APIs to return fraudulent data before it reaches the app.
• External GPS Hardware: Using Bluetooth-connected GPS receivers or "GPS Signal Generators" to physically overwhelm the device's internal radio.
• VPN + GPS Pairing: Using a VPN to match an IP address to a fake GPS coordinate, attempting to create a "consistent" fraudulent identity.

Peabody's Defense Strategy

Instead of relying on a single data point, Peabody employs a Zero Trust Location model. We verify the integrity of the location signal through multiple independent channels.

1. Hardware-Backed Integrity

We leverage Apple's App Attest and Google's Play Integrity API to verify that the device hardware hasn't been compromised. If a device is rooted, jailbroken, or running in a tampered environment, the location data is automatically flagged as untrusted.

2. Signal Source Verification

The Peabody SDK inspects the low-level provider of the location data. We can distinguish between:

• Direct satellite (GNSS) signals
• Network-based triangulation (Wi-Fi/Cellular)
• System-injected "Mock" providers

A "genuine" location typically shows a logical fusion of these sources. A sudden shift to a pure, jitter-free satellite signal in the middle of a city is a major red flag.

3. Cross-Telemetry Analysis

We validate the reported GPS coordinates against other hardware signals that are much harder to spoof:

• Cellular Tower Data: Does the reported GPS coordinate match the serving Cell ID and signal strength?
• IP Intelligence: Is the user's IP address geographically consistent with their reported GPS? (e.g., A user reporting a New York GPS but using a London IP).
• Sensor Fusion: We analyze accelerometer and barometer data to ensure the device's physical movement matches the reported location changes.

4. "Impossible Travel" Heuristics

Our backend analyzes historical verification data to detect impossible movement patterns. If a user verifies in Los Angeles and then "teleports" to Las Vegas 10 seconds later, the request is blocked.

Implementation Example

When you call verifyLocation, the SDK performs these checks silently in the background.

// The SDK verdict includes GPS integrity flags
if (verdict.device_integrity.is_mock_location) {
    // Take action: e.g. Flag user for review or block transaction
    console.error("Critical Security Event: Location Fraud Attempted");
}