Cracking the WPA password with aircrack is not fast, especially in a VM. So the first thing is to do the cracking outside of BackTrack. We have to get the .cap file out of the VM. Just drag it from the VM to the desktop.
Also using just the CPU is slow. GPUs these days can crack faster than the CPU.
X Code Command Line tools only
OS X Mountain Lion comes with OpenCL tools. X Code is big and most of it is iOS and OS X dev tools which we don't need. So only Command Line Tools can be installed. You have to have an Apple developer account to download it (it's free):
Then:
Click Next or Continue or whatever until it is done.
or X Code (full version)
Full X Code can be installed from the App Store:
Then Command Line Tools have to be installed. Go to XCode, then Properties:
Install Pyrit (AMD Radeon)
Pyrit is a python tool that cracks WPA passwords.
Prerequisites. Download these in a folder named PYRIT for example:
http://libdnet.googlecode.com/files/libdnet-1.12.tgz
http://dfn.dl.sourceforge.net/sourceforge/pylibpcap/pylibpcap-0.6.4.tar.gz
http://www.secdev.org/projects/scapy/files/scapy-latest.tar.gz
Then in the folder in terminal do:
tar -xzf libdnet-1.12.tgz cd libdnet-1.12 ./configure make sudo make install cd python sudo python setup.py install cd ../.. tar -xzf pylibpcap-0.6.4.tar.gz cd pylibpcap-0.6.4 sudo python setup.py install cd .. tar -xzf scapy-latest.tar.gz cd scapy-2.1.0 sudo python setup.py install cd .. |
Now, it's time for the pyrit tool:
svn checkout http://pyrit.googlecode.com/svn/trunk/ pyrit-read-only cd pyrit-read-only cd pyrit sudo python setup.py install |
Install Pyrit (NVidia)
Extra steps for NVidia:
Download nvidia driver from http://developer.nvidia.com/cuda/cuda-downloads.
If you don't have nvidia driver, you'll get: SystemError: Nvidia's CUDA-compiler 'nvcc' can't be found.
Check the first and second option:
Then:
cd .. cd .. cd pyrit-read-only cd cpyrit_cuda sudo LDFLAGS=-L/usr/local/cuda/lib python setup.py install |
Test Pyrit
On a macbook with ATI we get something like:
$ 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: 'OpenCL-Device 'ATI Radeon HD 6750M'' #2: 'CPU-Core (SSE2/AES)' #3: 'CPU-Core (SSE2/AES)' #4: 'CPU-Core (SSE2/AES)' #5: 'CPU-Core (SSE2/AES)' #6: 'CPU-Core (SSE2/AES)' #7: 'CPU-Core (SSE2/AES)' #8: 'CPU-Core (SSE2/AES)' |
On a macbook with nVidia, we get something like:
$ 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 9400M'' #2: 'CPU-Core (SSE2)' |
Note: I have no idea why when OpenCL or CUDA is installed it takes the place of one of the cores, on a quad-core we get 7 cores with OpenCL. When benchmarking it seems all cores are being utilized. I guess it's a bug.
Benchmarking
$ 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 (7724.0 PMKs/s)... - Computed 7723.98 PMKs/s total. #1: 'OpenCL-Device 'ATI Radeon HD 6750M'': 7180.7 PMKs/s (RTT 2.7) #2: 'CPU-Core (SSE2/AES)': 252.6 PMKs/s (RTT 3.8) #3: 'CPU-Core (SSE2/AES)': 247.2 PMKs/s (RTT 3.9) #4: 'CPU-Core (SSE2/AES)': 243.6 PMKs/s (RTT 4.0) #5: 'CPU-Core (SSE2/AES)': 246.6 PMKs/s (RTT 3.9) #6: 'CPU-Core (SSE2/AES)': 250.8 PMKs/s (RTT 3.8) #7: 'CPU-Core (SSE2/AES)': 253.0 PMKs/s (RTT 3.8) #8: 'CPU-Core (SSE2/AES)': 250.4 PMKs/s (RTT 3.9) |
You can see that the GPU is faster than 7 cores (they should be 8, i don't know why one is missing)
Wordlists
Wordlists can be found here: http://blog.g0tmi1k.com/2011/06/dictionaries-wordlists.html
gfxCardStatus
Make sure you're in Discrete Only mode.
Otherwise pyrit will complain:
Exception in thread OpenCL-Device 'ATI Radeon HD 6750M': [...] SystemError: Failed to create command-queue (CL_INVALID_VALUE) [...] SystemError: The core 'OpenCL-Device 'ATI Radeon HD 6750M'' has died unexpectedly |
Cracking with Pyrit
$ pyrit -r ~/Steve-01.cap --all-handshakes -i ~/WORDLISTS/4.9gb/BIG-WPA-LIST-1.txt attack_passthrough 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+ Parsing file '/Users/c00l/Desktop/Steve-01.cap' (1/1)... Parsed 3539 packets (3539 802.11-packets), got 115 AP(s) Picked AccessPoint 00:0f:01:37:1a:a0 ('Steve') automatically. Attacking 20 handshake(s). Tried 140007 PMKs so far; 7550 PMKs per second. The password is 'forzajuve'. |
--all-handshakes means that all handshakes in the file will be used together.
It will utilize the CPU and the GPU simultaneously. And now we get around 10k attempts/sec which is a lot better than aircrack-ng in a vm.
Note: your computer will unresponsive, make sure anything CPU or GPU intensive is switched off.
Some stuff was taken from here.
Check the wifis category for more tutorials.
Hello! Thank you for your great post series!
When I listed the cores, the OpenCL-Device ATI Radeon HD 6770M was not listed :
pyrit list_cores
Pyrit 0.4.1-dev (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/AES)'
#2: 'CPU-Core (SSE2/AES)'
#3: 'CPU-Core (SSE2/AES)'
#4: 'CPU-Core (SSE2/AES)'
#5: 'CPU-Core (SSE2/AES)'
#6: 'CPU-Core (SSE2/AES)'
#7: 'CPU-Core (SSE2/AES)'
#8: 'CPU-Core (SSE2/AES)'
I had to build pyrit and install cpyrit_opencl :
svn checkout http://pyrit.googlecode.com/svn/trunk/ pyrit-read-only
cd pyrit-read-only
cd pyrit
python setup.py build // add this line
sudo python setup.py install
// plus install cpyrit_opencl
cd ../..
cd cpyrit_opencl
python setup.py build
sudo python setup.py install
then it's ok :
pyrit list_cores
Pyrit 0.4.1-dev (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: 'OpenCL-Device 'ATI Radeon HD 6770M''
#2: 'CPU-Core (SSE2/AES)'
#3: 'CPU-Core (SSE2/AES)'
#4: 'CPU-Core (SSE2/AES)'
#5: 'CPU-Core (SSE2/AES)'
#6: 'CPU-Core (SSE2/AES)'
#7: 'CPU-Core (SSE2/AES)'
#8: 'CPU-Core (SSE2/AES)'
I can't test mine or yours right now, but your update might be useful next time I reinstall 🙂
Thanks for the update
Thank you for this! I wanted to benchmark my macbook vs my windows laptop, was getting the same 8 core list with no GPU listing. This solved it!
great article! thank you.
after doing all steps it get output like this.
i have Intel HD Graphics 4000 1024 MB
MacBook-Pro:pyrit-read-only manavbirdhillon$ cd pyrit
MacBook-Pro:pyrit manavbirdhillon$ sudo python setup.py install
Password:
running install
running build
running build_py
running build_ext
running build_scripts
running install_lib
writing byte-compilation script '/tmp/tmpeCelmD.py'
/usr/bin/python -O /tmp/tmpeCelmD.py
removing /tmp/tmpeCelmD.py
running install_scripts
changing mode of /usr/local/bin/pyrit to 755
running install_egg_info
Removing /Library/Python/2.7/site-packages/pyrit-0.4.1_dev._svn.r308_-py2.7.egg-info
Writing /Library/Python/2.7/site-packages/pyrit-0.4.1_dev._svn.r308_-py2.7.egg-info
MacBook-Pro:pyrit manavbirdhillon$ pyrit list_cores
-bash: pyrit: command not found
Intel Graphics cards won't work with Cuda or OpenCL - I dont' think they can be used with pyrit
Intel graphics card do work with OpenCL. At least mine does. Intel HD graphics 5000.
Intel HD 4000 works as well with OpenCL
a query, I installed everything correctly,
when running list_cores: shows me this.
all right, let me know as I do that
"'CUDA-Device # 1' GeForce 410 '' 'show me
the other 3 cores?
#1: 'CUDA-Device #1 'GeForce 410''
#2: 'CPU-Core (SSE2)'
#3: 'CPU-Core (SSE2)'
#4: 'CPU-Core (SSE2)'
I don't get the question. What do you want to accomplish?
come to this:
#1: 'CUDA-Device #1 'GeForce 410''
#2: CUDA-Device #2 'GeForce 410'
#3: CUDA-Device #3 'GeForce 410'
#4: CUDA-Device #4 'GeForce 410'
thanks
Impossible to accomplish. There is only 1 CUDA device I reckon in your machine (at least if you have a single GPU card installed).
I reckon you have a 4-core CPU and 1 GPU, in such case this behaviour is "normal".
There is a bug in pyrit that once a GPU card is found, 1 CPU core is missing from the list.
Quote from the article
"Note: I have no idea why when OpenCL or CUDA is installed it takes the place of one of the cores, on a quad-core we get 7 cores with OpenCL. When benchmarking it seems all cores are being utilized. I guess it's a bug."
Hi, i have a question, i did install my GPU as a OpenCL device instead as CUDA.. (by mistake, because it's a GeForce)
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 (1247.2 PMKs/s)... \
Computed 1247.22 PMKs/s total.
#1: 'OpenCL-Device 'GeForce 9400M'': 685.1 PMKs/s (RTT 2.8)
#2: 'CPU-Core (SSE2)': 636.2 PMKs/s (RTT 2.8)
I'm trying now to build and install from cpyrit_cuda but it seems to be skipping the process and it stills showing the core as OpenCL...
do you maybe know how to fix this in order to have the correct CUDA device installed?
As you can see the speed of the PMKs/s is not very high this way..
Thank you in advance!