- #WIRESHARK FOR ANDROID PHONES HOW TO#
- #WIRESHARK FOR ANDROID PHONES INSTALL#
- #WIRESHARK FOR ANDROID PHONES ANDROID#
- #WIRESHARK FOR ANDROID PHONES CODE#
- #WIRESHARK FOR ANDROID PHONES SERIES#
#WIRESHARK FOR ANDROID PHONES INSTALL#
To install this app on your phone, first download the Wireshark software for PC. Besides, you can use the same features on these devices without root access.
#WIRESHARK FOR ANDROID PHONES ANDROID#
It is available for both Android and PCs, but it works best on rooted devices. It monitors the traffic that your device receives and sends.
#WIRESHARK FOR ANDROID PHONES HOW TO#
In the next post I’ll demonstrate how to decrypt voice traffic :) as I continue explaining GSM communication.Wireshark is an open-source network communications tool. They also automated a lot of the steps in this post making decryption of gsm voice and data almost trivial. The question becomes how do you get the Kc in use by another mobile device? The good people at SRLabs figured out how to crack the A5/1 encryption used and created a tool called Kraken and 2TB rainbow tables to find the Kc. Everything else is exchanged between the BTS and Mobile device, from the TMSI and BTS details to the data traffic though encrypted. If you’ve followed through keenly you’ll note that every variable is available readily from just sniffing the traffic except the Kc.
On wireshark we look for the GSM SMS traffic and we can see the text of our SMS :). These guides here and here are great references. There are various ways to get the TMSI and Kc. I will get into the details of how the Kc is calculated in a later post but for now you can read up on the A8 algorithm. We will then need to get the Kc, which is the key used to encrypt the traffic between the phone and the BTS over the air. Its purpose is to avoid the subscriber from being identified and tracked by eavesdroppers on the air interface as I am trying to do :). This is a random assigned identity assigned to the SIM when it connects to a BTS. Before we get into the decryption process, we need some information specific to our SIM card.įirst we need the Temporary Mobile Subscriber Identity ( TMSI). We now have the traffic captured and saved in a file called capture.cfile. I then send an SMS reading “This is a demo of GSM decryption” to the Orange line. f is the frequency in Hz, -s the sample rate in Hz, -g the gain, -c the output file and -T the duration of our capture in seconds. I begin the capture using the following command:Īirprobe_rtlsdr_capture.py -f 949200000 -s 1000000 -g 40 -c capture.cfile -T 60 I’ll use the airprobe_rtlsdr_capture module of gr-gsm to capture the SMS traffic. In this case the frequency the Orange BTS was operating on is 949.2MHz. We will accomplish this by searching the traffic being captured on wireshark for the LAI and Cell ID our phone is on until we have a match. Follow the previous post on how to do this. Next we sniff the GSM frequencies our mobile operators use and identify the specific frequency the BTS is operating on. In my case I use the awesome Android IMSI Catcher Detector. The phone I am using is an android phone and there are several android apps that will give you this information. There are various ways to get this information such as the engineering menu on blackberries.
#WIRESHARK FOR ANDROID PHONES CODE#
The cell identity combined with the location area identity (LAI) which uniquely identifies the country, mobile network and location area code is what we need to get. A BTS is uniquely identified using an assigned cell identity (Cell ID). I therefore need to identify the BTS that my Orange line is connected to. The technical term for this is the downlink. The specific point at which I’ll capture the traffic is as it’s being sent by the BTS to the Orange line. I own both lines steering clear of the legality issue of decrypting other people’s traffic. I am going to send an SMS from a Safaricom line to an Orange line, capture the traffic over the Um (air) interface and decrypt the data to retrieve the SMS.
I start with SMS traffic which falls under the data category.
#WIRESHARK FOR ANDROID PHONES SERIES#
With this in mind I’ll do a two part series to demonstrate how voice and data can be sniffed using the HackRF. The traffic that the normal user of a telecommunication network is concerned with is voice and data. GSM traffic carries a lot of information, from system information to the actual voice and data we are familiar with. In the previous post, I explained how GSM traffic can be sniffed with the HackRF One.
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