How to get Pyrit and CUDA working on BT5 R2 (NVIDIA)

[twocents]

Hi all,

Found this excellent post on getting pyrit and cuda working. It was written for Backtrack 5 with the old 2.6.x kernel but I thought I would change some things and give it a shot and it worked! 9,307 PMKs/s on an NVIDIA GTX 260!

Here is the original link:

http://chee-yang.blogspot.com/2011/1...yrit-with.html

I broadly followed it but did it slightly differently as follows:

1) don't use the development driver - it moans about the 3.2.6 kernel - just go to nvidia drivers and get the latest linux build for your card (you can download from website & don't have to use wget). Download it to the suggested location for ease later.

I used NVIDIA-Linux-x86-295.20.run because thats my card.

2) go to developer.nvidia.com and get the CUDA Toolkit 4.1

http://developer.nvidia.com/cuda-toolkit-41

I selected the Ubuntu 10.04 32 bit option

3) open a shell and prepare kernel sources (thanks Softize):

prepare-kernel-sources
cd /usr/src/linux
cp -rf include/generated/* include/linux/

4) purge any existing nvidia drivers:

hit ctrl+alt+f1 to stop xserver

apt-get --purge remove xserver-xorg-video-nouveau

(remember to remove any existing drivers using the ./ --uninstall if you are updating)

5) mine would not let me install the new driver because it was moaning about nouveau

so, blacklist in Grub (thanks TonyIta)

nano /etc/default/grub

"...vga=791 nouveau.modeset=0"

exit and save then

update-grub

reboot

chmod +x "your-nvidia-driver".run
./your-nvidia-driver

should now install fine.

chmod +x cudatoolkit_4.1.28_linux_32_ubuntu10.04.run
./cudatoolkit_4.1.28_linux_32_ubuntu10.04.run

(leave the default path when asked)

once finished:

nano ~/.bashrc

change the PATH= and add these lines to the end (after the last fi) so it looks like this:

PATH=$PATH:/usr/local/cuda/bin
LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/lib64
export PATH
export LD_LIBRARY_PATH

exit nano and save changes.

source /root/.bashrc
ldconfig

Then follow Chee Yang's how to from this point on - ie:


Check NVIDIA compiler:

root@bt:~# which nvcc
/usr/local/cuda/bin/nvcc
root@bt:~# nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2011 NVIDIA Corporation
Built on Thu_May_12_11:09:45_PDT_2011
Cuda compilation tools, release 4.0, V0.2.1221

Setup pyrit

Setup pyrit dependent packages:

root@bt:~# apt-get install libssl-dev
root@bt:~# apt-get install scapy
root@bt:~# apt-get install python-dev

Check out Pyrit SVN trunk:

root@bt:~# svn checkout http://pyrit.googlecode.com/svn/trunk/ pyrit

Build Pyrit:

root@bt:~# cd pyrit/pyrit/
root@bt:~/pyrit/pyrit# python setup.py build
root@bt:~/pyrit/pyrit# python setup.py install

Test Pyrit:

root@bt:~/pyrit/pyrit# pyrit list_cores
Pyrit 0.4.1-dev (svn r308) (C) 2008-2011 Lukas Lueg http://pyrit.googlecode.com
This code is distributed under the GNU General Public License v3+

The following cores seem available...
#1: 'CPU-Core (SSE2)'
#2: 'CPU-Core (SSE2)'
#3: 'CPU-Core (SSE2)'
#4: 'CPU-Core (SSE2)'
#5: 'CPU-Core (SSE2)'
#6: 'CPU-Core (SSE2)'
#7: 'CPU-Core (SSE2)'
#8: 'CPU-Core (SSE2)'

Setup CUDA for Pyrit

Build CUDA for Pyrit:

root@bt:~/pyrit/pyrit# cd ../cpyrit_cuda/
root@bt:~/pyrit/cpyrit_cuda# python setup.py build
root@bt:~/pyrit/cpyrit_cuda# python setup.py install

Test CUDA for Pyrit:

root@bt:~/pyrit/cpyrit_cuda# pyrit list_cores
Pyrit 0.4.1-dev (svn r308) (C) 2008-2011 Lukas Lueg http://pyrit.googlecode.com
This code is distributed under the GNU General Public License v3+

The following cores seem available...
#1: 'CUDA-Device #1 'GeForce 8400 GS''
#2: 'CPU-Core (SSE2)'
#3: 'CPU-Core (SSE2)'
#4: 'CPU-Core (SSE2)'
#5: 'CPU-Core (SSE2)'
#6: 'CPU-Core (SSE2)'
#7: 'CPU-Core (SSE2)'
#8: 'CPU-Core (SSE2)'

root@bt:~/pyrit/cpyrit_cuda# pyrit benchmark
Pyrit 0.4.1-dev (svn r308) (C) 2008-2011 Lukas Lueg http://pyrit.googlecode.com
This code is distributed under the GNU General Public License v3+

Running benchmark (3240.1 PMKs/s)... \

Computed 3240.14 PMKs/s total.
#1: 'CUDA-Device #1 'GeForce 8400 GS'': 457.5 PMKs/s (RTT 3.2)
#2: 'CPU-Core (SSE2)': 425.5 PMKs/s (RTT 3.0)
#3: 'CPU-Core (SSE2)': 425.9 PMKs/s (RTT 3.0)
#4: 'CPU-Core (SSE2)': 426.2 PMKs/s (RTT 3.0)
#5: 'CPU-Core (SSE2)': 425.5 PMKs/s (RTT 2.9)
#6: 'CPU-Core (SSE2)': 425.6 PMKs/s (RTT 3.1)
#7: 'CPU-Core (SSE2)': 453.3 PMKs/s (RTT 3.0)
#8: 'CPU-Core (SSE2)': 422.3 PMKs/s (RTT 3.1)

Thats it!

(My GTX260 is showing around 9,300)

Many thanks to Chee Yang!

Hope this helps somebody.

Enjoy

[vances1]

A version of R2 BT5 64 Customized been realized in order to facilitate the operation for Nvidia drivers / Cuda. You can find it here:

http://www.crack-wifi.com/forum/topi...idia-cuda.html

Cordialement vances1

[dnsteban]

A version of R2 BT5 64 Customized been realized in order to facilitate the operation for Nvidia drivers / Cuda. You can find it here:

http://www.crack-wifi.com/forum/topi...idia-cuda.html

Cordialement vances1

Thank you Vances. Could you please list the customization steps you did so others can do? I want keep original ISO.

[Citanul]

I am new to Linux (Backtrack 5 r2 KDE x64) and recently I have also been trying to install Cuda/Pyrit on my computer using this guide.
Everything goes well with the installation of Cuda and Pyrit as far as I can tell but when I try to set the two of them up together this is what I get...

root@bt:~# cd pyrit/pyrit/
root@bt:~/pyrit/pyrit# cd ../cpyrit_cuda/
root@bt:~/pyrit/cpyrit_cuda# python setup.py build
running build
running build_ext
Skipping rebuild of Nvidia CUDA kernel ...
Building modules...
building 'cpyrit._cpyrit_cuda' extension
gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC -I/usr/local/cuda/include -I/usr/include/python2.6 -c _cpyrit_cuda.c -o build/temp.linux-x86_64-2.6/_cpyrit_cuda.o -Wall -fno-strict-aliasing -DVERSION="0.4.1-dev (svn r308)"
gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions build/temp.linux-x86_64-2.6/_cpyrit_cuda.o -lcrypto -lcuda -lz -o build/lib.linux-x86_64-2.6/cpyrit/_cpyrit_cuda.so
/usr/bin/ld: cannot find -lcuda
collect2: ld returned 1 exit status
error: command 'gcc' failed with exit status 1
root@bt:~/pyrit/cpyrit_cuda#

Any help here would be greatly appreciated.

[zimmaro]

I am new to Linux (Backtrack 5 r2 KDE x64) and recently I have also been trying to install Cuda/Pyrit on my computer using this guide.
Everything goes well with the installation of Cuda and Pyrit as far as I can tell but when I try to set the two of them up together this is what I get...

root@bt:~# cd pyrit/pyrit/
root@bt:~/pyrit/pyrit# cd ../cpyrit_cuda/
root@bt:~/pyrit/cpyrit_cuda# python setup.py build
running build
running build_ext
Skipping rebuild of Nvidia CUDA kernel ...
Building modules...
building 'cpyrit._cpyrit_cuda' extension
gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC -I/usr/local/cuda/include -I/usr/include/python2.6 -c _cpyrit_cuda.c -o build/temp.linux-x86_64-2.6/_cpyrit_cuda.o -Wall -fno-strict-aliasing -DVERSION="0.4.1-dev (svn r308)"
gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions build/temp.linux-x86_64-2.6/_cpyrit_cuda.o -lcrypto -lcuda -lz -o build/lib.linux-x86_64-2.6/cpyrit/_cpyrit_cuda.so
/usr/bin/ld: cannot find -lcuda
collect2: ld returned 1 exit status
error: command 'gcc' failed with exit status 1
root@bt:~/pyrit/cpyrit_cuda#

Any help here would be greatly appreciated.

what's "type of driver have you installed?" i had the same error with 295.20 but with 285 WORKED in MY hardware!!!try 285

[Citanul]

I have 2 X Nvidia 280m. I am running 295.20 also so I will try the driver you suggested.

[zimmaro]

I have 2 X Nvidia 280m. I am running 295.20 also so I will try the driver you suggested.

if it can be helpful to
our friends samiux is very expert:
http://samiux.blogspot.com/2012/03/h...intel-x79.html

[twocents]

Hi all,

Just on a side note, I found that running it after stopping x server gives a significant boost. I guess the card has less work to do. 9300 --> 11,000 for me on 2.2ghz Phenom quad.

btw, is there any way for us to aggregate password lists? The best I have found so far is the 13gb list - hint:

http://www.google.co.uk/#hl=en&gs_nf...w=1024&bih=433)

Best.

[Citanul]

Thanks zimmaro, the 285 driver took care of my problem.

[zimmaro]

Thanks zimmaro, the 285 driver took care of my problem.

nothing!!!
i'm happy for you!!!
bye