Pyrit setup
Pyrit is a tool used to pre-compute all possible SSID:PASSWORD combinations to generate a list of PMK tokens.
Pre-requisite
Pyrit version 0.3.0 and up depend on Scapy2 (package inspection) and SQLAlchemy 0.5.6 (database interface).
Scapy: On a Debian/Ubuntu bases distribution, get the package using aptitude. Backtrack 4 final include the Scapy2.
sudo aptitude update sudo aptitude install python-scapy scapy2
Install
Main App
Download the latest pyrit from pyrit.googlecode.com.
wget http://pyrit.googlecode.com/files/pyrit-0.3.0.tar.gz
Extract, build and install the package.
tar zxvf pyrit-0.3.0.tar.gz cd pyrit-0.3.0 python setup.py build sudo python setup.py install
If errors like this occurs:
cpyrit/_cpyrit_cpu.c:21:20: error: Python.h: No such file or directory
On Ubuntu, try to install the python2.6-dev package along with the other dev packages.
sudo aptitude install python2.6-dev
Test to verify the core modules work.
pyrit eval pyrit list_cores pyrit -e linksys create_essid
If these operations execute without error, everything should be set.
GPU Cores
Now, to install the GPU accelerated modules. A good tip is to pick a desktop distro with the graphical interface already configured, as the cpyrit modules require X Window to be running when in use. Also X11vnc comes in handy when remotely administering the system. Put /usr/bin/x11vnc -display :0 -noxdamage in /etc/X11/Xsession.d/55gnome-session_gnomerc.
OpenCL (Nvidia/AMD/Cell)
OpenCL support requires the OpenCL SDK; Nvidia OpenCL SDK or ATI Stream SDK.
But before installing the SDK, the (proprietary) graphics drivers for the video card has to be installed and set-up beforehand. This is normally a procedure covered on great detail in the distro wiki or help forum, as it's something most Linux users need to do to get GPU acceleration up and running (games). For Ubuntu, see Check the ATI Binary Driver Howto and cchtml Installation Guide.
Here is a summary, for ATI Catalyst 10.3 (8.702) on a 64-bit setup:
Install binary drivers under System->Administration->Hardware Drivers Enable the Source Code repository from the Synaptic Package Manger wget https://a248.e.akamai.net/f/674/9206/0/www2.ati.com/drivers/linux/ati-driver-installer-10-3-x86.x86_64.run sudo apt-get update sudo apt-get install libqtgui4 sudo sh ./ati-driver-installer-10-3-x86.x86_64.run --buildpkg Ubuntu/karmic # will install dependencies and build packages sudo apt-get install ia32-libs # only for 64-bit systems sudo dpkg -i *.deb If errors about libdri.so.xlibmesa occur, try removing xorg-driver-fglrx, apti-get remove --purge xorg-driver-fglrx and install the package again In case of broken packages, open Synaptic Package Manager and click on Fix Broken Packages from Edit menu sudo aticonfig --initial -f # generates /etc/X11/xorg.conf fglrxinfo # when logged into X window to see the adapters details
Later, to update the drivers; first remove all the driver files and then install the new package as mention above (minus the libqtgui4, ia32-libs, etc).
sudo apt-get remove --purge xorg-driver-fglrx
To install the ATI SDK, follow these steps to set up the paths (there are no packages or anything to compile).
Download the ATI SDK package from the official ATI Stream SDK page.
wget http://download2-developer.amd.com/amd/Stream20GA/ati-stream-sdk-v2.01-lnx64.tgz tar zxvf ati-stream-sdk-v2.01-lnx64.tgz mv ati-stream-sdk-v2.01-lnx64 ~/ati-stream-sdk
As per the installation notes, set the paths and create the /usr/lib/OpenCL/vendors symblinks.
pico ~/.bashrc # paste the following lines and correct the username/64-bit path: export ATISTREAMSDKROOT=/home/ivc/ati-stream-sdk export ATISTREAMSDKSAMPLESROOT=/home/ivc/ati-stream-sdk/samples export LD_LIBRARY_PATH=$ATISTREAMSDKROOT/lib/x86_64:$LD_LIBRARY_PATH sudo mkdir -p /usr/lib/OpenCL/vendors sudo ln -sf /home/ivc/ati-stream-sdk/lib/x86/libatiocl32.so /usr/lib/OpenCL/vendors/libatiocl32.so # full path, not relative sudo ln -sf /home/ivc/ati-stream-sdk/lib/x86_64/libatiocl64.so /usr/lib/OpenCL/vendors/libatiocl64.so # full path, not relative
If Pyrit reports an error like the one below, it might be an issue with the Stream SDK setup / symblinks.
Failed to load Pyrit's OpenCL-driven core ('Failed to enumerate OpenCL-platforms (Unknown CLresult)')
It might be necessary to install libstdcc++5 on Ubuntu using the method below, as Ubuntu 9.10 only ships with libstdcc++6:
sudo pico /etc/apt/sources.list # add the following lines deb http://ppa.launchpad.net/jason-scheunemann/ppa/ubuntu karmic main deb-src http://ppa.launchpad.net/jason-scheunemann/ppa/ubuntu karmic main wget -q 'http://keyserver.ubuntu.com:11371/pks/lookup?op=get&search=0x932062C9CD30EE56' -O - | sudo apt-key add - # add the ppa key sudo aptitude update sudo aptitude install lib32stdc++5
- libstdc++.so.6 installed but not found
- Karmic No Longer Includes 'libstdc++5'
- libstdc++5 removal breaks non-ubuntu applications
And finally, to build the cpyrit OpenCL module:
sudo aptitude install python3 python3-dev libssl-dev wget http://pyrit.googlecode.com/files/cpyrit-opencl-0.3.0.tar.gz tar zxvf cpyrit-opencl-0.3.0.tar.gz cd cpyrit-opencl-0.3.0 # Edit setup.py as mentioned below to add the OpenCL include path python setup.py build sudo python setup.py install
The cpyrit setup.ph script doesn't know where to find the cl.h header files and will report this error:
_cpyrit_opencl.c:23:19: error: CL/cl.h: No such file or directory
Edit setup.py and at the top add the path for /home/ivc/ati-stream-sdk/include to the list:
for path in ('/usr/local/opencl/OpenCL/common/inc', \
'/opt/opencl/OpenCL/common/inc', \
'/home/ivc/ati-stream-sdk/include', \
'/usr/local/opencl/include'):
I had problems with the build and ld reporting it couldn't find the OpenCL library:
/usr/bin/ld: cannot find -lOpenCL collect2: ld returned 1 exit status
A quick workaround was to create a symblink of libOpenCL.so to /lib64:
sudo ln -s /home/ivc/ati-stream-sdk/lib/x86_64/libOpenCL.so /lib64/
X Window has to be attached to at least one display out for each card installed in the system. Enabled them in /etc/xorg.conf, that is, one "Device" + "Monitor" + "Screen" combination for each card installed. Check my xorg.conf for an example for 2x HD 5950 cards setup.
I've successfully generated a working xorg.conf using these commands:
sudo mv /etc/X11/xorg.conf /etc/X11/xorg.conf-previous sudo cp /etc/X11/xorg.conf.failsafe /etc/X11/xorg.conf sudo aticonfig --initial -f --adapter=0,1 --resolution=0,1024x768 --resolution=1,1024x768 sudo stop gdm; sudo start gdm
Finally, to test and verify that the new module is ready, run the following commands in a remote ssh session or console. Using an X session will result in only the CPU cores and/or (n-1) graphics cores appearing, as the X session is busy running the termial/pyrit.
pyrit list_cores pyrit benchmark
The core list and benchmark results on 2x HD 5850 graphics cards, 4x core i5 processor, 4 GB memory setup:
Pyrit 0.3.0 (C) 2008-2010 Lukas Lueg http://pyrit.googlecode.com This code is distributed under the GNU General Public License v3+ Running benchmark (72963.2 PMKs/s)... \ Computed 73196.00 PMKs/s total. #1: 'OpenCL-Device 'Cypress'': 34107.9 PMKs/s (RTT 1.7) #2: 'OpenCL-Device 'Cypress'': 34179.9 PMKs/s (RTT 1.8) #3: 'CPU-Core (SSE2)': 776.6 PMKs/s (RTT 2.8) #4: 'CPU-Core (SSE2)': 785.4 PMKs/s (RTT 2.8) #5: 'Network-Clients': 0.0 PMKs/s (RTT 0.0)
The reason only two processors appear in the list above, is that for each single graphics core, a CPU core is used to feed and process the data to/from the GPU. An example with X Window shut down, thus only CPU cores used, is shown below.
Pyrit 0.3.0 (C) 2008-2010 Lukas Lueg http://pyrit.googlecode.com This code is distributed under the GNU General Public License v3+ Running benchmark (3217.4 PMKs/s)... \ Computed 3362.03 PMKs/s total. #1: 'CPU-Core (SSE2)': 791.1 PMKs/s (RTT 2.8) #2: 'CPU-Core (SSE2)': 788.4 PMKs/s (RTT 2.8) #3: 'CPU-Core (SSE2)': 791.2 PMKs/s (RTT 2.8) #4: 'CPU-Core (SSE2)': 791.4 PMKs/s (RTT 2.8) #5: 'Network-Clients': 0.0 PMKs/s (RTT 0.0)
A worthy tool to mention is aticonfig; it's a tool to configure, control, and get status reports from supported ATI cards. Run the tool in an X session, remote ssh terminal doesn't work/supported.
- sudo aticonfig --adapter=0,1 --odgt - get the temperature from adapter 0 and 1, mine range from 58 to 79 degrees
- sudo aticonfig --adapter=0,1 --odgc - see clocks speed and gpu load, mine hovers around 86% when pyrit loaded
- sudo aticonfig --pplib-cmd 'get fanspeed 0' - check the current fan speed on adapter 0, mine stays in the 58-63% range
- sudo aticonfig --pplib-cmd 'set fanspeed 0 50' - adjust the fan speed, 50%, mine only seems to work on adapter 0, atioc below can set both though
- sudo aticonfig --od-enable - for the adventurous, enable Overdrive to release the overclocking potential
- sudo aticonfig --odsc 775,1125 - set the new core and memory clock speeds, had little effect in the benchmark results, default 765,1000
- sudo aticonfig --odcc - commit, or save, the new clock speeds
- sudo stop gdm and sudo start gdm - restart X to take advantage of the new speeds
- aticonfig --help - find all the other goodness, or see this aticonfig help output
Another, GUI, tool I like is ATI Overclocking Utility by sabby. A simple interface showing the current clock speeds, temperature, fanspeed, and also Overdrive panel for overclocking.
wget http://kde-apps.org/CONTENT/content-files/107457-atioc_x86_64_105 # 64-bit version mv 107457-atioc_x86_64_105 atioc sudo aptitude install libqt4-core ./atioc # from an X session of course
To make changes persistent over reboots, try System->Preferences->Startup Applications or /etc/gdm/Init/Default or /etc/rc.loca.
References:
Nvidia CUDA
This module install in a similar way. I have not tested this method. Make sure the Nvidia graphics drivers work with the graphics card. Next install the CUDA-Toolkit to get the required Nvidia compiler.
To install the cpyrit CUDA module:
wget http://pyrit.googlecode.com/files/cpyrit-cuda-0.3.0.tar.gz tar zxvf cpyrit-cuda-0.3.0 python setup.py build sudo python setup.py install
Test to verify the new module is ready.
pyrit list_cores
Database Setup
The default file container is a blobspace on the local filesystem, but with the -u parameter an external database can be used for storage.
To begin, the current SQLAlchemy version, 0.4.5, is too old to be used with pyrit. Version 0.5.6 or later is required for pyrit 0.3.0.
Get the latest stable release, extract, build and install.
wget http://downloads.sourceforge.net/project/sqlalchemy/sqlalchemy/0.5.8/SQLAlchemy-0.5.8.tar.gz tar zxvf SQLAlchemy-0.5.8.tar.gz cd SQLAlchemy-0.5.8 sudo aptitude install python-setuptools sudo easy_install SQLAlchemy
Next, to use a MySQL database, install the python-mysqldb package.
sudo aptitude install python-mysqldb
Or else an error like this will let you know:
return __import__('MySQLdb')
ImportError: No module named MySQLdb
