Pyrit and CUDA, How To?

Hello again for another quick guide, this time I am trying to light your path to Pyrit-CUDA on Kali Linux and an hybrid notebook. By hybrid I mean, 2 GPU; 1 Intel 1 NVidia.

It was originally my first experience with gp-gpu experience and it was ridiculously hard. I mean I really gave more time and effort than actually learn to crack some WPA in the first place. Whole drivers and SDKs, finding the right libraries, correct combinations, etc... was very tiresome; I tried and crashed Kali and re-install like so many times actually forgot the count.

Anyways the below is the way I got it working with my Fujitsu Lifebook LH532, essentially it is a Core i3 notebook with a GT 620m GPU.

First thing is first, like on many Debian start with;

apt-get update

Of course if anything goes wrong you know what to do. Get a better sources.list and kernel-headers.

Then this is the critical part. It will quite possibly crash your setting if it is not like mine. But what the cow, you prolly did crashed your system so many times already; at this point you are willing to try anything...

apt-get install nvidia-detect nvidia-libopencl1 nvidia-opencl-common nvidia-support nvidia-opencl-icd nvidia-visual-profiler nvidia-glx nvidia-installer-cleanup nvidia-kernel-common nvidia-smi nvidia-alternative nvidia-opencl-dev libglx-nvidia-alternatives nvidia-kernel-dkms nvidia-cuda-toolkit nvidia-vdpau-driver nvidia-xconfig glx-alternative-nvidia libgl1-nvidia-alternatives nvidia-settings libgl1-nvidia-glx xserver-xorg-video-nvidia libcublas4 libcudart4 libcufft4 libnpp4 libnvidia-compiler libcuda1 libcuinj4 libnvidia-ml1 libxvmcnvidia1 libcusparse4 libcurand4 python-pycuda-doc python-pycuda-headers python-pycuda nvidia-cuda-doc nvidia-cuda-gdb

I found above command as a whole on a japanese blog, and cannot find again to give credit. But thanks to dude who did in the first place. I remember he stated this line should work for Ubuntu on a hybrid notebook also.

Again sources.list is very important if you intend to complete above command successfully.

If everything is still working order, then do the magic below;

/root/.bashrc <<

PATH=$PATH:/usr/lib/nvidia-cuda-toolkit/bin
LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/lib/nvidia-cuda-toolkit/lib:/lib
export PATH
export LD_LIBRARY_PATH

After this we actually have CUDA on Kali, just restart the system and see if it is still booting up :) if not well re-install Kali, sorry.

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Now time for actually settin up Pyrit-CUDA, don't worry tho; worse is behind and there is no danger crashing after this point.

We should download the official packages from the official site. which are pyrit-0.4.0.tar.gz and cpyrit-cuda-0.4.0.tar.gz that you need. Before you do anything just get below 2 library first.

atp-get install libpcap-dev python2.7-dev

Then for Pyrit do the following;

tar -xzvf pyrit-0.4.0.tar.gz
cd pyrit-0.4.0
python setup.py build
python setup.py install

Now you have Pyrit if everything went smoothly, but not yet Pyrit-CUDA. Here goes the magic again;

tar -xzvf cpyrit-cuda-0.4.0.tar.gz
cd cpyrit-cuda-0.4.0

setup.py <<

for path in ('/usr/local/cuda', '/opt/cuda'):
>> (must be like below or appropriate)
for path in ('/usr/local/cuda','/usr/lib/nvidia-cuda-toolkit','/opt/cuda'):

python setup.py build
python setup.py install

Tadaa (Windows 3.1 sound) !!! We have Pyrit with CUDA support. Enjoy the show;

note: you can see the device by "pyrit list_cores" and test via "pyrit benchmark".