HOWTO : Kali Linux 1.1.0 on Optimus Laptop

Step 1 :



apt-get install linux-headers-$(uname -r)

apt-get install nvidia-kernel-dkms nvidia-cuda-toolkit nvidia-driver




After that, reboot your Kali. Then, we need to install bumblebee.



Step 2 :



apt-get install bumblebee-nvidia primus



If you need to support i386 architecture 3D software in 64-bit Kali, you may need to install the following :



dpkg --add-architecture i386

apt-get update

apt-get install bumblebee-nvidia primus primus-libs:i386




Step 3 :



Now, you need to add you (e.g. root) to the bumblebee group.



adduser $USER bumblebee



Step 4 :



To run your application with the discrete nVidia card :



optirun iceweasel



If optirun displays the following error :



[ERROR]Cannot access secondary GPU - error: Could not load GPU driver



You need to edit the following :



sed 's/KernelDriver=nvidia/KernelDriver=nvidia-current/g' -i /etc/bumblebee/bumblebee.conf



The following are optional :



If you want to run glxgears with the discrete nVidia card, you need to install VirtualGL



32-bit Kali Linux -

wget http://sourceforge.net/projects/virtualgl/files/2.3.90%20%282.4beta1%29/virtualgl_2.3.90_i386.deb/download -O virtualgl_2.3.90_i386.deb



64-bit Kali Linux -

wget http://sourceforge.net/projects/virtualgl/files/2.3.90%20%282.4beta1%29/virtualgl_2.3.90_amd64.deb/download -O virtualgl_2.3.90_amd64.deb



dpkg -i virtualgl_2.3.90_i386.deb



or
h


dpkg -i virtualgl_2.3.90_amd64.deb



Then run :



optirun glxgears -info



or



optirun glxgears



The following are CUDA applications :



Please note that the Kali official does not recommend to compile applications yourself for Kali as they think that it would damage kali.



The next steps are to install cudaHashcat, john, Cryptohaze and pyrit.



(1) cudaHashcat installation



Grab the source code and extract it. The current version is 1.31 at this writing.



wget http://hashcat.net/files-legacy/cudaHashcat-1.31.7z

7za x cudahashcat-1.31.7z




(Please noted that the current version of cudaHashcat 1.32 does not compatible with Kali 1.1.0's nVidia 340.x driver).



Then run the sample scripts to test the cudahashcat by the following commands.



cd cudaHashcat-1.31

optirun ./cudaExample0.sh

optirun ./cudaExample400.sh

optirun ./cudaExample500.sh




When it is your first time to run cudaHashcat, you will be prompted for the license and you just answer "YES" to continue.



(2) John the Ripper Installation



Install the required package before going further.



apt-get install libssl-dev



Grab the current version of john (the current version at this writing is 1.8.0-jumbo-1) and compile it.



wget http://www.openwall.com/john/j/john-1.8.0-jumbo-1.tar.gz

tar -xvzf john-1.8.0-jumbo-1.tar.gz

cd john-1.8.0-jumbo-1/src

./configure

make clean

make




To run john, you can execute the following command.



cd ../run

optirun ./john --format=sha512crypt-cuda /etc/shadow




Please note that the captioned command will have fruitless result when your password is longer than 8 characters which is the default for john. If requires, you can make some changes on "params.h". However, it is out of the scope of this guide.



(3) Cryptohaze Installation



Grab the current version of Cryptohaze (the current version is 1.3a at this writing).



wget http://sourceforge.net/projects/cryptohaze/files/Cryptohaze-Linux_x64_1_31a.tar.bz2/download -O Cryptohaze-Linux_x64_1_31a.tar.bz2

tar xjvf Cryptohaze-Linux_x64_1_31a.tar.bz2

cd Cryptohaze-Linux




To perform the sample run, you can execute the following command.



optirun ./Cryptohaze-Multiforcer -h NTLM -c charsets/charsetall -f test_hashes/Hashes-NTLM-Full.txt



(4) pyrit Installation



The first step is to install the required packages.



apt-get install libssl-dev libpcap0.8-dev python-dev



Grab the current version of pyrit. However, pyrit is not updated for a long time.



svn checkout http://pyrit.googlecode.com/svn/trunk/ pyrit



Compile it with the following commands.



cd pyrit/pyrit

python setup.py build

python setup.py install



cd ../cpyrit_cuda

python setup.py build

python setup.py install




To test it, you can execute the following commands.



optirun pyrit list_cores

optirun pyrit benchmark




That's all! See you.