News

GPSwise Interference Analytics: Practical Tools for Monitoring GPS Spoofing

We have added a new paid add-on to GPSwise (https://gpswise.aero) called Interference Analytics. Its goal is simple: help you see when and where GNSS spoofing and jamming events happen, and what they mean for flights in a given airspace or fleet. It’s an interactive dashboard, and users can download

GPSwise Interference Analytics: Practical Tools for Monitoring GPS Spoofing

Introducing Interference Analytics for GPSwise

We’ve added a new paid add-on to GPSwise: Interference Analytics.

👉 https://gpswise.aero

Its goal is simple: help you understand when and where GNSS spoofing and jamming events occur, and what they mean for flights within a given airspace or fleet.

Interference Analytics is an interactive dashboard where users can:

  • Explore interference events visually
  • Download plots
  • Export occurrence tables to CSV with a single click

Use Case 1: Monitoring GPS Spoofing in a Specific Area

Air Navigation Service Providers (ANSPs), Civil Aviation Authorities (CAAs), and spectrum monitoring agencies can investigate spoofing events in detail.

Example: June 30, 2025 — Mexico FIR (MMFR)

On June 30, 2025, GPSwise detected 10 spoofed flights in the Mexico Flight Information Region (FIR).

To analyze this event:

  1. Open the Interference Analytics dashboard
  2. Search for FIR: MMFR
  3. Select the relevant date or time range

👉 https://dev.gpswise.aero/spoofing-ui/interference-analytics

What You See

The results include:

  • Map — showing the positions of flights impacted by GPS interference
  • Frequency Analysis — visualizing occurrences hourly, daily, or weekly
  • Flight Table — listing all affected flights with detailed information

Key Insights from the Event

The data shows that:

  • The impacted area was around Monterrey, Mexico
  • Spoofed positions were near Aeropuerto AFL Parque Industrial Mitras

From the frequency analysis:

  • First spoofed flight: 17:00 UTC
  • Peak activity: 18:00 UTC (6 flights in one hour)
  • Last detected event: 20:00 UTC

Flight-Level Analysis

Users can select any flight to:

  • View its trajectory
  • Replay the event

For example, flight VTM356 shows a clear spoofing signature:

  • Sudden position jump from Saltillo to Monterrey
  • Return to the correct trajectory shortly after

Use Case 2: Monitoring a Fleet

Airlines can use Interference Analytics to track spoofing and jamming incidents affecting their fleet.

Search can be performed using:

  • Callsign prefixes
  • ICAO24 hex identifiers

Example: Aeroflot Fleet Monitoring

By searching using the AFL callsign prefix, users can analyze Aeroflot flights over the past 7 days.

What You See

  • Map — showing where aircraft were impacted
  • Frequency Analysis — revealing that approximately 150–200 flights per day experienced spoofing

Each occurrence can be further investigated using ADS-B trajectory analysis.

Summary

Interference Analytics combines multiple capabilities into one tool:

  • Geographical monitoring for ANSPs, CAAs, and intelligence agencies
  • Fleet-wide monitoring for airlines and operators
  • Frequency analysis to identify patterns and peak activity
  • Flight-by-flight investigation with trajectory replay

It is designed as a practical tool for both:

  • Investigating past incidents
  • Monitoring ongoing interference activity

Try It Yourself

👉 Visit https://gpswise.aero to explore Interference Analytics and request access