On the Google Play store developer Knowle Consultants have recently released a new free application called "FM Radio (RTL-SDR)". This is a simple app that allows you to use a connected or remotely networked RTL-SDR to tune into preset broadcast FM stations. People wishing to use an Android enabled head unit in their car may be interested in the app as it makes tuning into broadcast FM stations easy just like it is on a standard radio.
They also have a similar app called "Airband Radio (RTL-SDR)" which provides a similar simple interface for tuning into airband presets.
The company ebcTech who makes AIS Share for Android has recently come out with a new app which is an Android App version of Dump1090. Dump1090 is a popular command line based ADS-B decoder for RTL-SDR dongles which allows you to receive and plot the locations of nearby aircraft on a map.
The app directly accesses the RTL-SDR via a USB OTG connection and provides a list of aircraft with planespotters.net image lookup, and a Google map display. The app is free however there is a message limit on received aircraft which can be unlocked via a low cost in-app purchase.
The author also wrote in and wanted to make a note about a special feature "In the app you can add Airport layers – This consist now 4480 Airports – most of them with corresponding homepage address / or Wikipedia link."
We recently came across the LibreCellular project which is aiming to make it easy to implement 4G cellular networks with open source software and low cost SDRs. The project appears to be in the early stages, and seems to be focusing on deploying and modifying existing open source 4G basestation software known as srsRAN which will be used with a particular combination of hardware in order to create a reliable and easy to set up 4G basestation solution.
Thank you to José Carlos Rueda for submitting his project called "a-radio: a web virtual reality radio power spectrum analyzer". The idea behind the project is to first use an RTL-SDR together with rtl_power and heatmap.py to generate a heatmap image of the RF spectrum. This image is then projected into a 3D 360 degree view and hosted on a web server via José's script for the a-frame VR web framework, allowing the heatmap to be viewed with a virtual reality (VR) smartphone headset. José' recommends using a cheap VR headset like Google Cardboard which can be used with your Android smartphone.
José notes that the project is just a proof of concept, but he hopes to inspire future work around the combination of RF and VR.
Android developers have a new RTL-SDR driver wrapper available to use called "RTL-SDR CP Driver". This driver by Evgeni Karalamov is designed to have an additional feature over the current Android RTL-SDR drivers in that it implements client application permission management. The overview reads:
RTL-SDR CP Driver utilises the rtl-sdr codebase and is meant to be kept in sync with the developments there. The provided interface mirrors the functionality of rtl_tcp in an Android way. Instead of via a TCP socket, the communication is carried out through file descriptors returned by a ContentProvider.
Since some potentially sensitive information could be captured through the SDR receivers, like indications of the device location, the RTL-SDR CP Driver implements permission control similar to that of the Android framework. Prior to accessing receivers, client applications have to ask the user for permission to access the driver by starting the driver's permission flow via startActivityForResult. Once the user grants access, their answer is remembered and they are not prompted again. The user has the ability to later revoke the permission from the driver's UI, accessible via the Android launcher.
RTLion is a software framework for RTL-SDR dongles that currently supports various features such as a power spectrum plot and frequency scanning. The software can run on a Raspberry Pi 3 and all features are intended to be accessed via an easy to use web browser interface, or via an Android app. The software can also be run with Docker, making it useful for IoT applications.
Over on YouTube M Khanfar has uploaded a comprehensive tutorial video explaining how to setup and run the RTLion server software on a Linux computer. He goes on to demonstrate and explain how to use the server via the web interface and also via the RTLion Android app.
It turns out that many LTE carriers reuse the same keystream when two calls are made within a single radio connection. An attacker can then record an encrypted conversation, then immediately call the victim after that conversation. The attacker can now access the encrypted keystream, and as the keystream is identical to the first conversation, the first conversation can now be decoded.
The ReVoLTE attacks exploit the reuse of the same keystream for two subsequent calls within one radio connection. This weakness is caused by an implementation flaw of the base station (eNodeB). In order to determine how widespread the security gap was, we tested a number of randomly selected radio cells mainly across Germany but also other countries. The security gap affected 12 out of 15 base stations.
The ReVoLTE attack aims to eavesdrop the call between Alice and Bob. We will name this call the target or first call. To perform the attack, the attacker sniffs the encrypted radio traffic of Alice within the cell of a vulnerable base station. Shortly after the first call ends, the attacker calls Alice and engages her in a conversation. We name this second call, or keystream call. For this call, the attacker sniffs the encrypted radio traffic of Alice and records the unencrypted sound (known plaintext).
For decrypting the target call, the attacker must now compute the following: First, the attacker xors the known plaintext (recorded at the attacker's phone) with the ciphertext of the keystream call. Thus, the attacker computes the keystream of the keystream call. Due to the vulnerable base station, this keystream is the same as for the target (first) call. In a second step, the attacker decrypts the first call by xoring the keystream with the first call's ciphertext. It is important to note that the attacker has to engage the victim in a longer conversation. The longer he/she talked to the victim, the more content of the previous communication he/she can decrypt. For example, if the attacker and victim spoke for five minutes, the attacker could later decode five minutes of the previous conversation.
Demonstration of the ReVoLTE attack in a commerical LTE network.
SignalID is a new Android app available on the Google Play store which offers Shazam-like radio signal identification. Just like Shazam does for music, you simply tune to an unknown signal with your SDR, play the raw audio, and let the app listen to it for five seconds. It then computes an audio fingerprint and checks to see if it knows what the signal is.
We tested the app but unfortunately we were unable to get it to detect any signals. Please write in the comments if you have success. As it uses audio fingerprinting, the app is probably highly dependant on choosing the correct demodulator (AM/FM/SSB etc), and also the tuning and signal quality. We note that most of the signal sources seem to come from our sister site the Signal ID Wiki. Searching through the wiki is a good alternative if automated solutions fail.
However the the app is new and we expect improvements and more signals to be added in the future. Currently the following signals can be recognized: