Infrastructure Information Security

In this post I will briefly summarise two issues I came across while trying to setup the development environment for CUDA. CUDA is an environment that allows you to code the application with support of potent computational capabilities of your GPU-s. In my case, I wanted to utilise the power of NVIDIA GeForce 1050 Ti card. The idea of having this SDK is to facilitate a way for your application to distribute processing over parallel processing and multithreading. You can download CUDA SDK from  https://developer.nvidia.com/cuda-downloads . (I used 10.1 version and Visual Studio 2017). Having downloaded and installed CUDA SDK (which takes some time), I tried to compile the deviceQuery utility - the example that, if compiled ok, would show you the attributes of your GPU. This is where the troubleshooting started. First of all, the compilation did not work due to missing Microsoft 10 SDK 10.0.15063.0 component. This can be easily installed by modifications in the Visual Studio. Go into t

In this post I will be explaining the approach in attacking the encrypted voice over IP (VOIP) protocol, more specifically, SIP (Session Initiation Protocol).  When we are talking about the SIP encryption, it will most likely assume some kind of SSL/TLS wrapping (SIP over TLS). An example below shows the solution design that allows interception, decryption and manipulation of SIP messages. The central component consists of mitm_relay.py and BURP. It is not required that both BURP and mitm_relay run on the same machine, but my setup did run both of them on the same virtual instance. The communication chain looked like this: Client -> mitm_relay->BURP->SIP Server->Client 2 The mitm_relay.py is a python script available at https://github.com/jrmdev/mitm_relay Before we fire up the mitm_relay, we need to configure couple of things- its certificate (self signed in my case, and private key). Once this is in place, we can run it: Few details about the mitm_relay setup: