GPS Spoofing in Delivery Drones: Forensic Reconstruction of a Crash

Published on May 28, 2026 | Translated from Spanish

A delivery drone collided with the facade of a hospital, sparking an investigation into possible sabotage. The forensic analysis, based on flight telemetry and scene scanning, revealed a critical anomaly: an abrupt deviation from the programmed route. The cause pointed to external interference, known as GPS spoofing, which had spoofed the satellite coordinates to maliciously redirect the aircraft.

Delivery drone crashed against hospital facade, forensic route analysis and GPS spoofing

Forensic Flow: From Point Cloud to Unreal Engine Simulation 🛸

The reconstruction process began with capturing the scene using FARO Scene, generating a high-precision point cloud of the hospital and the impact zone. In parallel, the drone's telemetry was extracted, including IMU and GPS data. The discrepancy between the planned route and the recorded trajectory was evident. To visualize the deviation, the point cloud was imported into Unreal Engine, where the actual flight was simulated. The simulation demonstrated how the drone, upon receiving the false GPS signal, executed a forced 45-degree turn towards the building, ignoring braking commands. Analysis in Pix4D confirmed that the impact point exactly matched the vertex of the deviation vector, eliminating the possibility of a mechanical or battery failure.

Implications for Air Logistics Safety 🚁

This case exposes a critical vulnerability in the navigation systems of commercial drones. GPS spoofing not only diverted the route but also overrode onboard safety protocols. For the delivery industry, the lesson is clear: it is necessary to implement signal authentication systems and redundant sensors (such as visual odometry or radio beacons) that allow the drone to detect and reject false coordinates. Forensic reconstruction, as carried out with FARO and Unreal, becomes an indispensable tool for certifying the cause of future incidents and tightening regulations against this type of attack.

How can it be differentiated in the forensic analysis of a crashed delivery drone whether the GPS spoofing was caused by an intentional external attack or by accidental interference from the hospital environment?

(PS: Simulating catastrophes is fun until the computer crashes and you are the catastrophe.)