Sunday, January 18, 2015

HOWTO : Kali Linux 1.0.9a on Optimus Laptop

The guide is updated on FEB 4, 2015 as Kali Linux 1.9.0a has included the nVidia driver 340.x and CUDA 5.5.x.

Step 1 :

echo "deb http://ftp.debian.org/debian wheezy-backports main contrib non-free" >> /etc/apt/sources.list

apt-get update

Step 2 :

apt-get install -y linux-headers-$(uname -r)
apt-get install -t wheezy-backports nvidia-kernel-dkms nvidia-cuda-toolkit nvidia-driver

Optionally, you can uninstall the backports linux kernel headers 3.16 (if any) as it comes with the backports nVidia drivers installation.

apt-get --purge remove linux-headers-3.16

Finally, reboot. Then, we need to install bumblebee.

Step 3 :

apt-get install -t wheezy-backports 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 -t wheezy-backports bumblebee-nvidia primus primus-libs:i386 primus-libs:ia32

Step 4 :

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

adduser $USER bumblebee

Step 5 :

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

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 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/cudaHashcat-1.31.7z 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 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 friutless 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.

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