Having already created the rf-car HackRF RC car control software on GitHub a few years ago, Radoslav was easily able to modify it for a new RC car that his daughter received. The process was to simply look up the FCC data on it, finding that it operated with 2.4 GHz and used GFSK modulation. He then used the Inspectrum signal analysis tool to determine the bit strings used to control the car. Finally using, his C++ interface to the HackRF he implemented the new bit string and GFSK modulation.
The video below demonstrates Radoslav controlling the RC car with the keyboard on his laptop.
His first steps were to search for the frequency which he found active at 390 MHz. He then moved on to analyzing the signal with Inspectrum, discovering the OOK modulation, then working his way towards the binary control strings. One thing that helped with his reverse engineering was the use of the 9-bit DIP switches on the remote that configure the security code that opens up a specific door as this allowed him to control the transmitted bits, and determine which bits were used for the security code. With this and a bit of GNU Radio code he was able to recreate the signal and transmit it with his HackRF.
Finally Maxwell wanted to see how vulnerable this door is to a brute force attack that simply transmits every possible security code. Through some calculations, he discovered that brute forcing every possible security code in the 9-bit search space would only take 104 minutes to open any garage using this opener.
The La Crosse weather station system consists of a LCD base station, and various wireless sensors. Ryan first discovered that the devices used the 915 MHz frequency band via details written on the device itself. His next step was to open up Universal Radio Hacker and use one of his SDRs to record a packet. URH then allowed him to convert that data into bits for packet analysis. The rest of his post goes into detail on how he set the symbol rate, discovered the preamble and reverse engineered the CRC code.
The next step he took was to generate a spoofed packet generated by URH and transmitted by the PlutoSDR. This allowed him to set the base station display to any temperature that he specified. But he ran into a problem where only the first packet he sent after power up was received. Eventually he discovered that the system sets a randomized interval for each of the transmitters at startup, and data outside of that interval is ignored.
Ryan's post explains his whole though process and progress in detail, so is an excellent study for anyone looking to get into reverse engineering wireless signals.
Back at home he pulled up the FCC filing for the device, which unveiled that it is OOK-PWM modulated, and operates at 433.92 MHz. The rest of the filing also had information noting that the implant transmits a 59-bit data packet every 12 seconds, and contained a nice breakdown of the packet structure, making it easy for decoding.
With all the information about the device's wireless transmissions now known, James grabbed his RTL-SDR and fired up SDR# to confirm that the signal was indeed transmitting every 12 seconds at 433.92 MHz. Next he was able to decode the data from the device by inputting the protocol information learned from the FCC filing into an rtl_433 command line string.
After a bit of further work James discovered that the pH data was actually two readings in one data string. At this stage he finally had the pH reading, however it was represented as an 8-bit ADC reading with a value between 0 to 255. James plotted the relationship between the 8-bit raw ADC reading, and the pH value shown on the official Medtronic receiver. With this he was able to determine a linear relationship between the ADC reading and real pH reading, but notes that there may be a more accurate calibration curve required for actual medical use.
Over on YouTube Adam Łoboda has uploaded a video showing the full steps that he's taken to reverse engineer and clone a wireless garage door key using an RTL-SDR and Arduino.
He starts by using the Universal Radio Hacker software to record a copy of the wireless signal generated by the garage key. Using the software he can then analyze the signal, and determine the preamble data, payload data and pulse width which he can then input into some Arduino code. The Arduino can then generate an identical signal, and transmit it via a cheap FS1000A 433 MHz RF module. Finally, at the end of the video Adam shows the cloned Arduino based garage key working as expected.
hacking & clonning my garage key with URH ( Universal radio Hacker ) and ARDUINO DIGISPARK + FS1000A
The CC1101 is a popular RF silicon chip as it can handle many common digital modulation modes such as OOK/ASK, FSK, GFSK, and MSK within it's hardware. It is not a software defined radio, but rather a hardware radio that can be easily software controlled. Over the years we've seen the CC1101 and it's cousin the CC1111 with embedded microcontroller used in several pentesting/RF reverse engineering tools such as the Flipper Zero, Yard Stick One and PandwaRF.
There is now a new open source CC1101 implementation called the "Evil Crow RF". This hardware marries two CC1101 modules with an ESP32 WiFi and Bluetooth microcontroller. It is capable of operating in the 300 MHz - 348 MHz, 387 MHz - 464 MHz and 779 MHz - 928 MHz bands. As it has two CC1101 modules it can receive or transmit on two different frequencies at the same time.
The firmware running on the ESP32 allows you to control the device via a simple web interface. Currently built in are interfaces for receiving, transmitting and brute forcing.
The device hardware is completely is open source so anyone can build it, however the creators are selling a ready to use version on Aliexpress, however at the time of this post it appears to be out of stock.
Over on Twitter creator @JoelSernaMoreno has uploaded a short video of it working.
Over on YouTube "River's Educational Channel" has uploaded a video showing how he was able to reverse engineer the wireless control signal from his ceiling fan remote, and use that information to create a new transmitter controlled via his smart home's Raspberry Pi.
In the video River uses an RTL-SDR and the Spektrum software to initially identify the remotes frequency, before moving on to record the signal in Universal Radio Hacker (URH). He then goes on to reverse engineer the signal and determine the binary control string for each button on the ceiling fan's remote control.
In part 2 which is yet to be released River will show how to transmit this signal via his Raspberry Pi 3B in order to integrate it with his smart home.
Hacking My Ceiling Fan Radio Signal With a $15 USB TV Tuner (RTL2832U)
To begin the investigation stdw first opened the case and looked for a serial UART port. After finding one he connected the UART up to a Raspberry Pi and was almost immediately able to connect to the device's terminal. From the information displayed during the boot process, stdw was able to determine that the modem was running the eCos operating system on a Broadcom BCM3383 SoC. Unfortunately after receiving that information the UART connection is dropped, preventing any further terminal investigation.
To get around this issue, stdw decided to dump the flash memory via an SPI memory chip he saw on the board. Again using the Raspberry Pi he was able to connect via SPI and use the flashrom tool to read the memory. Next using a tool called bcm2-utils, stdw was able to parse and actually modify the configuration information stored in the flash memory. With this he was able to modify the configuration so that the serial connection did not drop after boot.
With terminal access gained, stdw was now able to reverse engineer the firmware, and after a lot of searching eventually find a console command which would perform a bandpower measurement for a given frequency range. He found that IQ data for this scan was stored in a buffer which he could then stream out via a TCP connection. With the IQ data finally available on another PC he was then able to use Python libraries to compute an FFT and actually visualize the scanned spectrum. Some further investigation yielded actually demodulated FM audio, and the realization that the usable bandwidth is 7.5 MHz.
Unfortunately there were some limitations. There is only enough RAM to store less than a second of data at a time at max bandwidth and precision, which meant that a lot of data needed to be dropped in between captures. Further investigation yielded methods to reduce the sample rate down to 464 kHz which meant that only 12% of data was ever dropped - enough to stream a wideband FM radio signal.
If you wanted to try investigating the modem yourself, the Motorola MB7220 is available second hand on eBay for prices ranging between US$15 - US$40, and new on Amazon for $46.99. Although the usability of the modem for any real SDR applications may not be great, further investigation may yield better results. And if not, following along with the process stdw took looks to be a great reverse engineering learning experience. Other modems that use similar Broadcom chips may also be worth investigating.