Over on the TechMinds YouTube channel a new video titled "GPS Spoofing With The HackRF On Windows" has been uploaded. In the video TechMinds uses the GPS-SDR-SIM software with his HackRF to create a fake GPS signal in order to trick his Android phone into believing that it is in Kansas city.
In the past we've seen GPS Spoofing used in various experiments by security researchers. For example, it has been used to make a Tesla 3 running on autopilot run off the road and to cheat at Pokemon Go. GPS spoofing has also been used widely by Russia in order to protect VIPs and facilities from drones.
Over on YouTube Drone and Model Aircraft enthusiast channel Paweł Spychalski has uploaded a video showing how he determined that cheap HD cameras that are commonly used on hobbyist drones can cause locking issues with the on board GPS. He writes:
You might believe it or not (today I will prove it, however) that HD cameras, especially cheap ones, can be responsible for GPS problems on your drones and model airplanes. The majority of HD cameras (RunCam Split, Runcam Split Mini, Foxeer Mix, Caddx Tarsier) generate RF noise on different frequencies. Some of them on 433MHz, some on 900MHz, but most of them also at around 1GHz. Just where one of the frequencies used by GPS signal sits. As a result, many GPS modules are reported to have problems getting a fix when the HD camera is running.
In the video he uses an RTL-SDR and SDR# to demonstrate the interference that shows up when a cheap HD camera is turned on. He shows how the interference is present at almost all frequencies from the ISM band frequencies commonly used for control and telemetry to the 1.5 GHz GPS frequencies.
Galileo is a European Union owned satellite navigation system. Galileo was created so that the EU does not need to rely on the US GPS or the Russian GLONASS satellites, as there is no guarantee that these systems won't be purposely turned off or degraded by their governments at any time.
Unfortunately since July 11 the Galileo system has been out of service. Not much information about the outage has been provided, but it appears to be related to problems with the Italian ground based Precise Timing Facility which consists of two ultra high precision atomic clocks that keep the Galileo systems' reference time. (We note that recently within the last few hours of this post, most satellites seem to have come back into operational status, but the EGSA website still reports an outage.)
Over on his blog, Daniel Estevez has been using his LimeSDR and a small patch antenna to gather some more information about the outage directly from the Galileo satellites. His investigations found that the modulation and signal itself are still working correctly. However, by using the GNSS-SDR software to investigate the signal data he was able to obtain the ephemeris, and see that the ephemeris is stuck in the past. The ephemeris data is used to calculate compensations for orbital drift and without frequent ephermis updates, orbital errors add up within hours resulting in poor positioning accuracy. In order to generate the ephermis, the Precise Timing Facility must be operational.
Daniel's post goes into further technical details about the information he's collected, and it's definitely an interesting read. One interesting bit of information that you can read from his post explains why the service has gone from initially just heavily degraded accuracy from July 11, to completely nonsense results from July 15 onwards.
The Regulus researchers noted that the Tesla is highly dependent on GNSS reliability, and thus were able to use an SDR to spoof GNSS signals causing the Model 3 to perform dangerous maneuvers like "extreme deceleration and acceleration, rapid lane changing suggestions, unnecessary signaling, multiple attempts to exit the highway at incorrect locations and extreme driving instability". Regarding exiting at the wrong location they write:
Although the car was a few miles away from the planned exit when the spoofing attack began, the car reacted as if the exit was just 500 feet away— slowing down from 60 MPH to 24 KPH, activating the right turn signal, and making a right turn off the main road into the emergency pit stop. During the sudden turn the driver was with his hands on his lap since he was not prepared for this turn to happen so fast and by the time he grabbed the wheel and regained manual control, it was too late to attempt to maneuver back to the highway safely.
In addition, they also tested spoofing on a Model S and found there to be a link between the car's navigation system and the automatically adjustable air suspension system. It appears that the Tesla adjusts it's suspension depending on the type of road it's on which is recorded in it's map database.
In their work they used a ADALM PLUTO SDR ($150) for their jamming tests, and a bladeRF SDR ($400) for their spoofing tests. Their photos also show a HackRF.
Regulus are also advertising that they are hosting a Webinar on July 11, 2019 at 09:00PM Jerusalen time. During the webinar they plan to talk about their Tesla 3 spoofing work and release previously unseen footage.
NAVigation with Indian Constellation (NavIC) (previously known as IRNSS) is an Indian navigation system consisting of 7 satellites in geosynchronous and geostationary orbits above India. It is intended for both public and military use, with a public resolution of up to 20m, and military resolution of up to 1m. After a few set backs, the satellite constellation was completed in April 2018.
Over on his blog Radiojitter, Priyasloka has put up a post showing how he was able to receive and decode the IRNSS/NAVIC satellites. To do this he uses an RTL-SDR with a GNSS antenna connected, and a modified version of the MATLAB GPS code found in this previous post, and in SoftGNSS. His post first goes through how he was able to decode and receive GPS, then goes over the technical details of the NAVIC signal, and then shows some result screenshots where he was able to determine his location with both GPS and NAVIC.
Priyasloka writes that he hasn't uploaded the modified code yet, but he plans to do so soon.
Recently a US non-profit known as the Center of Advanced Defense (C4ADS) released a report titled "Exposing GPS Spoofing in Russia and Syria". In the report C4ADS detail how GPS and Global Navigation Satellite Systems (GNSS) spoofing is used extensively by Russia for VIP protection, strategic facility protection and for airspace denial in combat zones such as Syria. Using simple analysis methods that civilians can use, they were able to detect multiple spoofing events.
GNSS spoofing involves creating a much stronger fake GNSS signal that receivers lock on to, instead of the actual positioning satellites. The fake signal is used to either jam GNSS signals, or report an incorrect location of the spoofers choice.
In the report, C4ADS mention how they used AIS data to identify 9,883 instances of GNSS spoofing which affected 1,311 commercial vessels since the beginning of February 2016. AIS is a marine vessel tracking system similar to the ADS-B tracking system that is used on aircraft. It works by broadcasting on board GPS data to nearby ships for collision avoidance. Although they don't appear to mention their AIS data sources, sites like marinetraffic.com collect and aggregate AIS data submitted by volunteer stations. By looking for anomalies in the collected AIS data, such as ships suddenly appearing at airports, they are able to determine when GNSS spoofing events occurred.
An airport is chosen by Russia as the spoofed location presumably because most commercial drone manufacturers do not allow their drones to fly when their GPS shows them near an airport. This prevents commercial drones from being able to fly in spoofed areas.
Using AIS data, the researchers were also able to determine that the Russian president uses GNSS spoofing to create a bubble of protection around him. During a visit to the Kerch Bridge in annexed Crimea the researchers found that some vessels near his location suddenly began appearing at a nearby airport. Similar events were detected at multiple other visits by the Russian president.
Another interesting method they used to determine GNSS anomalies was to look at position heatmaps derived from fitness tracking apps. These phone/smart watch apps are often used by runners to log a route and to keep track of distance ran, speeds etc. The researchers found that runners going through central Moscow would sometimes suddenly appear to be at one of two Moscow airports.
In a previous post we showed how Amungo Navigation's NUT4NT+ system was used to detect and locate GPS anomalies at the Kremlin. The C4ADS report also notes how several other Russian government facilities also show signs of GPS anomalies. Of interest, from photos they also saw that the Kremlin has an 11-element direction finding array which could be used to locate civilian drone controllers.
Finally, in the last sections they show how C4ADS and UT Austin used a GPS receiver on board the International Space Station (ISS) to monitor a GPS spoofer at an airbase in Syria. Using Doppler analysis they were able to determine the location of the spoofer and confirm that it is likely the cause of multiple complaints of GPS interference by marine vessels in the area.
Back in May 2018 we first posted about Amungo Navigation's NUT4NT+ project, which is a four channel global navigation satellite system (GNSS) board based on the NT1065 chip. With the right antenna, it is capable of receiving any navigation satellite including GPS, GLONASS, Galileo, BeiDou, IRNSS, and QZSS. With access to multiple satellite systems, the positioning resolution can be down to the centimeter.
Currently Crowd Funding now on CrowdSupply is the NUT2NT+, which is their low cost 2-input GNSS board. Early bird units are going for $250 (12 units left at the time of posting), with the normal price being $320. Compared to their previous legacy version it has an FPGA, TCXO, bias tee and other improvements. They write:
NUT2NT+ hardware is open source, as is the software - giving the user the ability to set a receiver’s modes and frequencies, to capture all signals continuously, and to have complete control over primary processing features.
Several startups and large companies offer proprietary GNSS positioning solutions and even mobile GNSS software-defined receivers. But a closed ecosystem reduces accessibility for an enthusiast or professional developer, and it limits what a user can do with their hardware. We are happy to bring NUT2NT+ to the world as an open source option.
We note that this is an advanced device for developers and experimenters, but the possible applications they write about such as precision positioning for autonomous vehicles and black box logging are quite interesting.
Their higher end four channel input version (which appears to only be for sale via contact on their website at the moment) can be used as a coherent receiver which can locate sources of GPS jamming via an augmented reality app. In our previous post we highlighted how they were able to find the location of the GPS jammer/spoofers famously active around the Russian Kremlin buildings.
The NT1065 is an all-in-one 4-channel global navigation satellite system (GNSS) receiver chip. It is highly versatile and can receive and decode multiple navigation satellites such as GPS, GLONASS, Galileo, BeiDou, IRNSS and QZSS. Being able to receive so many satellites, it is capable of centimeter level positioning.
The team at Amungo Navigation have taken this chip and have created a product called the NUT4NT+ which is essentially a development board for the NT1065, and all the software for signal processing with it is provided as open source software. In the near future they are planning to begin fundraising for the product over on the crowd funding site CrowdSupply.
One very interesting application that they have been developing with a device similar to the NUT5NT+ is a GPS Jammer/Spoofer detector system which they call the Amungo XNZR. This is a combined 4-channel GNSS receiver and 4-antenna GNSS antenna system built into a small package that fits onto the back of an Android tablet. When connected to the software it uses augmented reality (AR) to show you exactly where GPS jammers are in the vicinity by using coherent signal processing. If you're not familiar with AR, this is the technique of overlaying digital data/images on top of a live real world camera view.
In the video below they take their XNZR detector to Varvarka Street in Moscow Russia and determine the location of a GPS spoofer in the vicinity.
More information about their product can be found on their homepage, and on various interesting forum posts by someone from the company that detail some of their experiments. Note that the forum posts are in Russian, but Google Translate can be used to translate the text.