Recently a new open source Linux based SDR application called SigDigger was released by programmer BatchDrake (Gonzalo J. Carracedo). It is based on his own DSP libraries called Sigutils and Suscan which can take advantage of multi-core CPUs. SigDigger also makes use of the SoapySDR interface, so it is compatible with almost all software defined radios including the RTL-SDR.
Like other general purpose SDR applications, SigDigger has your typical AM/FM/LSB/USB demodulation and audio playback features. However, it also has some key additional features that make it worth taking a look at if you're interested in reverse engineering, or taking a closer look at digital signals. The features include:
Both realtime and replay analysis modes
Analog audio playback (AM, FM, LSB and USB)
Baseband recording (full spectrum and per-channel)
Per-device gain presents
Dynamic spectrum browsing
ASK, FSK and PSK inspection
Gradient-descent SNR calculation
Different spectrum sources (cyclostarionary analysis, signal power…)
Symbol recording and visualization
Planned features already implemented and just waiting to be exposed to the UI:
Symbol tagging (correspondence between symbols and groups of bits)
Automatic symbol tagging guessing
Automatic convolutional code detection
We note that while the UI looks like GQRX, it is not based on GQRX at all. Rather BatchDrake just liked the minimal UI of GQRX. Also unlike GQRX, SigDigger is not based on GNU Radio, so it may be a bit more efficient and lightweight.
Below we've embedded a video that BatchDrake uploaded his YouTube channel which demonstrates SigDigger being used to inspect a PSK channel.
Using SigDigger to inspect a PSK channel
This software looks great, and we think it deserves some serious attention and testing, so check it out on the GitHub. Binary releases are also available, although BatchDrake notes that they are minimally tested, for x64 Linux only, and preferably for Debian-like distros. Alternatively, it can be installed from source, after installing the Sigutils and Suscan DSP library dependencies.
In order to create a second transmitter he decided to reverse engineer the doorbells wireless signal, and use that information to create an Arduino based transmitter. His process involves first using an RTL-SDR to determine the transmission frequency, then using the rtl_433 software to capture the raw waveform which he then analyzes manually using Audacity. Once the binary string, length and pulse width is known he is able to program an Arduino connected to a 433 MHz transmitter to replicate the signal.
In future posts Shreyas hopes to explore other ways to transmit the signal, and eventually design a simple but configurable 433 MHz push button that supports RF, WiFi, and can support the IFTTT web service.
If you're interested, check out some of our previous posts that highlight many other successful reverse engineering experiments with RF devices and SDR.
Several years ago back in 2013 and 2014 we uploaded two posts showing how it was possible to use an SDR to listen in to restaurant pagers and collect data from them, and also to spoof their signal and activate them on demand. If you were unaware, restaurant pagers (aka burger pagers), are small RF controlled discs that some restaurants hand out to customers who are waiting for food. When the food is ready, the pager is remotely activated by the staff, and then flashes and buzzes, letting the customer know that their order can be picked up.
Over on YouTube user Tony Tiger has uploaded a video that shows an overview on how to reverse engineer the signal coming from a particular brand of restaurant pagers. The tools he uses include a HackRF SDR and the Inspectrum and Universal Radio Hacker software packages. If you're interested in reverse engineering signals, this is a good overview. Later in the video he shows a GNU Radio and Python program that he's created to control the pagers.
Amazon Alexa is a smart speaker that can be programmed to control home automation devices via voice commands. For example, Stuart Hinson wanted to be able to control his wirelessly controlled blinds simply by verbally asking Alexa to close or open them. Stuart's blinds could already be controlled via a 433 MHz remote control, so he decided to replicate the control signals on an ESP8266 with 433 MHz transmitter, and interface that with Alexa. The ESP8266 is a cheap and small WiFi capable microchip which many people are using to create IoT devices.
Fortunately replicating the signal was quite easily as all he had to do was record the signal from the remote control with his RTL-SDR, and use the Universal Radio Hacker software to determine the binary bit string and modulation details. Once he had these details, he was able to program the ESP8266 to replicate the signal and transmit it via the 433 MHz transmitter. The remaining steps were all related to setting up an HTTP interface that Alexa could interface with.
If you're interested, we've also previously posted about another Alexa + RTL-SDR mashup which allows Alexa to read out ADS-B information about aircraft flying in your vicinity.
SimpliSafe is an American DIY home security system company that claims over 2 million customers. Their system relies on 433/315 MHz ISM band wireless radio communications between its various sensors, control panels and remote controls. Back in 2016 we already posted about research from Dr. Andrew Zonenberg and Micheal Ossmann who showed that the SimpliSafe wireless communications are unencrypted, and can easily be intercepted, decoded, and spoofed. SimpliSafe responded to those concerns by downplaying them and mentioning that sophisticated hardware was required.
Adam began with some initial manual RF analysis with an RTL-SDR, and then later worked with rtl_433 dev Christian Zuckschwerd to add PiWM demodulation capability, which is the modulation used by SimpliSafe systems. Now Adam is able to easily decode the serial number, pin codes, and status codes transmitted by SimpliSafe sensors and key pads in real time with just an RTL-SDR.
This is very concerning as not only could a burglar easily learn the alarm disarm pincode, but they could also profile your behavior to find an optimal time to break in. For example if you arm your alarm before bed, and disarm in the morning your sleep schedule is being broadcast. It is also possible to determine if a particular door or window has been left open. With a tuned Yagi antenna Adam was able to receive signals from 200+ feet (60m) in free space, and 115 feet (35m) through walls.
In addition to the lack of encryption, Adam also discovered that the SimpliSafe system was susceptible to jamming attacks, and that the tamper detection system can be easily compromised. Adam has disclosed all concerns and findings to SimpliSafe who are aware of the problems. They assure him that next generation systems will not suffer from these flaws. But unfortunately for current generation owners, the hardware will need to be eventually replaced as there is no over the air update capability.
Johannes Smit wanted to be able to view the live data from his SWR WH2303 weather station and send it to a database. Whilst the weather data acquisition software that he paid for worked well, he thought that there must be a cheaper and more fun way to grab the data. But unfortunately the manufacturers would not respond to his request for the RF protocol specifications. So Johannes decided to reverse engineer the protocol using his RTL-SDR instead.
Next he fired up Universal Radio Hacker (URH) and captured a sample of the weather station signal. Using URH he was able to determine the modulation type (FSK) and the bit length parameter (150us). Johannes' next step was to open the weather station, find the RF chip, look up the RF chip information on the web and find the spec sheet. From the spec sheet and internet forum searches he was able to determine the properties of the packet including the sync word and preamble. With this data he was able to determine the packet structure.
Finally he captured a packet and recorded the exact data shown on the weather station at the time of the packet. With this he was able to search the binary data string for the data shown on the weather station, indicating the location of a particular piece of data within the string.
Johannes' tutorial shows just how powerful tools like Universal Radio Hacker can be, and his tutorial is an excellent start for those looking at reverse engineering any of their own local RF protocols.
Foo-Manroot first explains how easily capture and replay a signal with the HackRF. If the signal is simple without any security like rolling codes then a simple replay attack like this will allow the HackRF to control the device quite easily. In the next section he goes on to explain how to actually analyze and synthesize the packets yourself using Python and GNU Radio. Finally he also shows that a brute force attack can be applied once you know how to synthesize the signal. Brute forcing runs over every possible packet combination in a short time and this can be pretty fast for simple protocols like those used in wireless remote controls. His post also includes all the GNU Radio files required so it is easy for someone to replicate his work easily.
If you are interested in controlling simple OOK devices like a wireless powerplug with replay attacks then we have a tutorial for doing this with a simple RTL-SDR and Raspberry Pi running RpiTX which might be useful for those who don't have a HackRF.
In this talk Samy Kamkar shares the exciting details on researching closed systems & creating attack tools to (demonstrate) wirelessly unlocking and starting cars with low-cost tools, home made PCBs, RFID/RF/SDR & more. He describes how to investigate an unknown system, especially when dealing with chips with no public datasheets and undisclosed protocols. Learn how vehicles communicate with keyfobs (LF & UHF), and ultimately how a device would work that can automatically detect the makes/models of keyfobs nearby. Once the keyfobs have been detected, an attacker could choose a vehicle and the device can wirelessly unlock & start the ignition. Like Tinder, but for cars.