Recently some pretty major advances have come around in the world of GPU based hash cracking. Up untill now there was not much for Linux which would utilize multi GPUs to crack password hashs. This has been changed with the release of Oclhashcat. The release of oclhashcat signifies a signifigant jump in the speed on linux based GPU systems. There is also a cpu based version called hashcat but for this article I will be reviewing oclhashcat
If you have been following my progress over the last few days you will know that after a complete rebuild of the tools server and a change of the operating system, I have been working hard to get all our temp monitoring back online. The server previously ran Gentoo Linux, which although is still my favorite distro, is just not suited for a production server environment. So we decided to go with Cent OS which is a very well built distro aimed at running on production servers. My only complaint is that its kernel and some of its packages are a little bit out of date. On the bright side, this has given us a few challenges to work through and more importantly some good articles to share. So after getting my GPU temps going and graphing I turned my attention to the cpu. We are currently running a Intel i7 965 Extreme edition which I just put in last night. In the following article I will show how I eventually got lm_sensors and the coretemp module to work on Cent OS 5.4
If you have been keeping up with the development on our tools server you will know that we just did a big rebuild and I was looking for a way to monitor the GPU temperatures. Yesterday I wrote a article about how to get these temperatures on a linux server which does not have a X-server installed. Alex is currently writing some custom Cacti plugins to monitor temps but in the meantime I decided to figure out another way. I have never needed to use Gnuplot for anything and I figured this was as good a time as any to learn.
So as every one knows we just rebuilt our massive cracking server. On the old server I was doing temperature monitoring with LM_Sensors, which for CPU temps is very good but I was not to sure about its accuracy on GPU Temperatures. So I decided to do some investigation into another solution.
Building CUDA-Multiforcer Error: /usr/bin/ld: cannot find -lcutil, collect2: ld returned 1 exit status
While building the CUDA Multiforcer on CentOS Linux I ran into a couple of different errors. One of the errors is noted below in more detail along with how I was able to resolve the error. The problem ended up being that I didn’t build the common Nvidia SDK tools before proceeding with installing the CUDA Multiforcer which is compiled from within the Nvidia SDK directory.