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JPaulMora
Can someone please help on writing the commands to insall pyrit on ubuntu 17.10 GPU
@JPaulMora Hello.
I have bee awake 3 days now trying to get my 750 Ti to work with pyrit and GPU
1: I have tried this https://askubuntu.com/questions/967332/how-can-i-install-cuda-9-on-ubuntu-17-10 I had no errors and the Simulations/smokeParticles worked 2: I also tried this https://docs.kali.org/general-use/install-nvidia-drivers-on-kali-linux 3: And this https://github.com/JPaulMora/Pyrit/issues/553 4: Tried a few other posts that I cannot even find now, also tried Kali install.
Does anyone have a working guide on how to get it installed on ubuntu 17.10 what ever I try using pyrit list_cores its not showing my nvidia card also changed the ./pyrit config folder to enable CUDA this also did not work. the closest i got was at the bottom of pyrit it said CUDA: rest was blank. Must have reinstalled linux about 30 times now.
5: nvidia-smi
VIDIA-SMI 390.42 Driver Version: 390.42
0 GeForce GTX 750 Ti Off
GPU-Util Compute M.
GPU Name Persistence-M
6: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2017 NVIDIA Corporation Built on Fri_Nov__3_21:07:56_CDT_2017 Cuda compilation tools, release 9.1, V9.1.85
The ouput of number 5 and 6 does that mean I have the nvidia and cuda installed correctly? Is there another part of a config file I should be reading up on now?
Please help. Thank you.
@nightshadow36 You don't need to reinstall Ubuntu 17.10. What's the output of 'setup.py install' from within the modules/cpyrit_cuda directory?
Thanks for getting back to me. I tried installing kali because i thought most of it would be set up. Still problems though - CUDA and GPU drivers is installed as its working in Hashcat. When trying Pyrit I just get this
WARNING: Unknown option 'use_CUDA' in configfile '/root/.pyrit/config' WARNING: Unknown option 'use_OpenCL' in configfile '/root/.pyrit/config' 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)'
modules/cpyrit_cuda directory? I am trying to find this on Kali at the moment.
It wont work-Have to uninstall Pyrit and then (build make install) it yourself! Do this guide 👍
apt install nvidia-driver ocl-icd-libopencl1 nvidia-cuda-toolkit
apt install python2.7-dev python-pycuda-doc python-pycuda python3-pycuda mesa-utils libgl1-nvidia-glx
apt install libssl-dev zlib1g-dev libpcap-dev nvidia-xconfig
reboot
*********Pyrit prep
git clone https://github.com/JPaulMora/Pyrit.git
gedit /root/.bashrc
*Add these lines to the end of .bashrc
PATH=$PATH:/usr/lib/nvidia-cuda-toolkit/bin. LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/lib/nvidia-cuda-toolkit/lib:/lib export PATH export LD_LIBRARY_PATH
*Pyrit_Cuda Prep and Install
cd /root/Pyrit/modules/cpyrit_cuda/
gedit setup.py
Edit the setup.py, line 34,edit it from*
for path in ('/usr/local/cuda', '/opt/cuda'):
*to:
for path in ('/usr/local/cuda','/usr/lib/nvidia-cuda-toolkit','/opt/cuda'):
line 88,edit it from*
nvcc_cmd = NVCC+ bit_flag + ' -ccbin clang -Xcompiler "-fPIC" --ptx ./_cpyrit_cudakernel.cu'
*to:
nvcc_cmd = NVCC + bit_flag + ' -ccbin clang-3.8 -Xcompiler "-fPIC" --ptx ./_cpyrit_cudakernel.cu'
*then
cd /root/Pyrit/modules/cpyrit_cuda
*and install
python setup.py clean build install
cd /root/Pyrit/
python setup.py clean build install
yes 2 times in differnt dir *last thing
gedit /root/.pyrit/config
*change from:
use_CUDA = false
*to
use_CUDA = true
*now check your GPU
pyrit list_cores
ENJOY !!!
*Note: GPU works best with 1 CPU core gedit /root/.pyrit/config *set: limit_ncpus = 1
My score:
root@kali:/# pyrit benchmark Pyrit 0.5.1 (C) 2008-2011 Lukas Lueg - 2015 John Mora https://github.com/JPaulMora/Pyrit This code is distributed under the GNU General Public License v3+
Running benchmark (123359.7 PMKs/s)... |
Computed 123359.69 PMKs/s total. #1: 'CPU-Core (SSE2/AES)': 1195.8 PMKs/s (RTT 2.9) CUDA: #1: 'CUDA-Device #1 'GeForce GTX 1060 3GB'': 133063.0 PMKs/s (RTT 1.0)
for powermizer and manual fan control nvidia-xconfig --cool-bits=12 reboot
Just follow-copy paste -and try not to make mistakes..Its not too hard..Point is that the version Pyrit 0.5,1 needs upgrade and some sorrections.Also Linux(Kali or Ubuntu) have to know where are the libraries-cuda... Every time i install Kali or Ubuntu i have to do this guide!
This is really strange thanks for posting. I am in the middle of already installing following your instructions on another post
@Hackitfree These two error messages have gone WARNING: Unknown option 'use_CUDA' in configfile '/root/.pyrit/config' WARNING: Unknown option 'use_OpenCL' in configfile '/root/.pyrit/config'
I followed the guide but for some reason it`s still not showing the GPU It shows CUDA but nothing after
Computed 1480.46 PMKs/s total. #1: 'CPU-Core (SSE2/AES)': 191.8 PMKs/s (RTT 3.0) #2: 'CPU-Core (SSE2/AES)': 193.7 PMKs/s (RTT 3.0) #3: 'CPU-Core (SSE2/AES)': 200.3 PMKs/s (RTT 3.0) #4: 'CPU-Core (SSE2/AES)': 195.8 PMKs/s (RTT 3.1) #5: 'CPU-Core (SSE2/AES)': 205.0 PMKs/s (RTT 2.9) #6: 'CPU-Core (SSE2/AES)': 197.5 PMKs/s (RTT 3.1) #7: 'CPU-Core (SSE2/AES)': 196.8 PMKs/s (RTT 3.1) #8: 'CPU-Core (SSE2/AES)': 203.1 PMKs/s (RTT 3.0) CUDA:
Thank you.
Hi-So youfollowed all the guide correctly?.. Please go into your cloned directory named Pyrit.. If you are not root you have to use sudo-youknow that... then try: cd /modules/cpyrit_cuda/ if you edited "setup.py" file here already rigt...... then type: python setup.py clean build install
copy all what you get here and i will instruct you further 👍
I must ask you if you uninstalled the old Pyrit.. with: sudo apt uninstall pyrit
you have to do this so the new pyrit takes effect
@Hackitfree I think i uninstalled pyrit. sudo apt uninstall pyrit ----- E: Invalid operation uninstall
So rm -rf /usr/local/lib/python2.7/dist-packages/pyrit apt-get purge pyrit* apt-get autoremove.
~/Pyrit/modules/cpyrit_cuda# python setup.py clean build install
running clean
Removing temporary files and pre-built GPU-kernels...
running build
running build_ext
Compiling CUDA module using nvcc 9.1, V9.1.85...
Executing '/usr/local/cuda/bin/nvcc -m64 -ccbin clang-3.8 -Xcompiler "-fPIC" --ptx ./_cpyrit_cudakernel.cu'
clang-3.8: No such file or directory
Traceback (most recent call last):
File "setup.py", line 166, in
Thank you for the help so far.
Ok.. you dont have to remove the pyrit program from Python or bin dir-coz compiling it again will overwrite it! just remove the first Pyrit(its in differnt dir-by doing:
apt remove pyrit
no "uninstall command in Linux"
I see that the actual "fix" that we aply here-(ading clang-3.8) inyour case is not needed..So delete the Pyrit directory and once more download it via git command-(you have git installed i hope) So:
git clone https://github.com/JPaulMora/Pyrit.git
and then try to compile it again so we can see what errors we came up with:
cd /modules/cpyrit_cuda/
python setup.py clean build install
copy all what you get here and i will instruct you further 👍
You are a * Thank you very much, very happy now to see my graphics card.+ :) 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)'
The following CUDA GPUs seem aviable... #1: 'CUDA-Device #1 'GeForce GTX 750 Ti''
YW dude :)
Now limit number of CPU's to get best score in Pyrit
gedit /root/.pyrit/config *set: limit_ncpus = 1
Im interested how well that 750ti scores so please send me output :) TY.
Kali 2018 / USB install
Computed 38283.30 PMKs/s total. #1: 'CPU-Core (SSE2/AES)': 293.8 PMKs/s (RTT 3.0) CUDA: #1: 'CUDA-Device #1 'GeForce GTX 750 Ti'': 43117.9 PMKs/s (RTT 2.7)
Again thank you, nice that people are out there willing to help.
@Hackitfree Hi hope you don't mind me asking a question I was thinking of getting 2 x unbranded gtx 780 ti from eBay as I have a sli motherboard. Do the graphic cards still need to be bridged to work together with pyrit? Thank you
Hi my friend :) I think (and by that 99.9% sure) that you wont need bridge to use both those cards for Pyrit or hashcat. The only downside to using those 2 cards is big power draw so you will need big powersupply for that.. Im glad if i can help you and you are welcome any time :)
@Hackitfree
Hi! I am using cuda9.2 and when i install pyrit it says
" Executing '/usr/local/cuda/bin/nvcc -m64 -ccbin clang -Xcompiler "-fPIC" --ptx ./_cpyrit_cudakernel.cu' nvcc fatal : The version ('6.0') of the host compiler ('clang') is not supported "
does that means I should downgrade my cuda version ? cuda9.2 didn't support 6.0clang anymore?
Now i am using openCL mode with pyrit and it works well
@Hackitfree
Already fixed this problem when i changed to clang-4.0
it print so many errors..
running clean Removing temporary files and pre-built GPU-kernels... running build running build_ext Compiling CUDA module using nvcc 9.2, V9.2.148... Executing '/usr/local/cuda/bin/nvcc -m64 -ccbin clang-4.0 -Xcompiler "-fPIC" --ptx ./_cpyrit_cudakernel.cu' Building modules... building 'cpyrit._cpyrit_cuda' extension creating build creating build/temp.linux-x86_64-2.7 x86_64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-rHYsq1/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC -I/usr/local/cuda/include -I/usr/include/python2.7 -c _cpyrit_cuda.c -o build/temp.linux-x86_64-2.7/_cpyrit_cuda.o -Wall -fno-strict-aliasing -DVERSION="0.5.0" _cpyrit_cuda.c: In function ‘cudadev_init’: _cpyrit_cuda.c:134:5: warning: ‘cuFuncSetBlockShape’ is deprecated [-Wdeprecated-declarations] CUSAFECALL(cuFuncSetBlockShape(self->kernel, THREADS_PER_BLOCK, 1, 1)); ^~~~~~~~~~ In file included from _cpyrit_cuda.h:22, from _cpyrit_cuda.c:44: /usr/local/cuda/include/cuda.h:9819:36: note: declared here __CUDA_DEPRECATED CUresult CUDAAPI cuFuncSetBlockShape(CUfunction hfunc, int x, int y, int z); ^~~~~~~~~~~~~~~~~~~ _cpyrit_cuda.c: In function ‘calc_pmklist’: _cpyrit_cuda.c:199:5: warning: ‘cuParamSetv’ is deprecated [-Wdeprecated-declarations] cuParamSetv(self->kernel, offset, &ptr, sizeof(ptr)); ^~~~~~~~~~~ In file included from _cpyrit_cuda.h:22, from _cpyrit_cuda.c:44: /usr/local/cuda/include/cuda.h:9986:36: note: declared here __CUDA_DEPRECATED CUresult CUDAAPI cuParamSetv(CUfunction hfunc, int offset, void *ptr, unsigned int numbytes); ^~~~~~~~~~~ _cpyrit_cuda.c:204:5: warning: ‘cuParamSetv’ is deprecated [-Wdeprecated-declarations] cuParamSetv(self->kernel, offset, &ptr, sizeof(ptr)); ^~~~~~~~~~~ In file included from _cpyrit_cuda.h:22, from _cpyrit_cuda.c:44: /usr/local/cuda/include/cuda.h:9986:36: note: declared here __CUDA_DEPRECATED CUresult CUDAAPI cuParamSetv(CUfunction hfunc, int offset, void *ptr, unsigned int numbytes); ^~~~~~~~~~~ _cpyrit_cuda.c:207:5: warning: ‘cuParamSetSize’ is deprecated [-Wdeprecated-declarations] cuParamSetSize(self->kernel, offset); ^~~~~~~~~~~~~~ In file included from _cpyrit_cuda.h:22, from _cpyrit_cuda.c:44: /usr/local/cuda/include/cuda.h:9885:36: note: declared here __CUDA_DEPRECATED CUresult CUDAAPI cuParamSetSize(CUfunction hfunc, unsigned int numbytes); ^~~~~~~~~~~~~~ _cpyrit_cuda.c:208:5: warning: ‘cuLaunchGrid’ is deprecated [-Wdeprecated-declarations] CUSAFECALL(cuLaunchGrid(self->kernel, buffersize / THREADS_PER_BLOCK, 1)); ^~~~~~~~~~ In file included from _cpyrit_cuda.h:22, from _cpyrit_cuda.c:44: /usr/local/cuda/include/cuda.h:10062:36: note: declared here __CUDA_DEPRECATED CUresult CUDAAPI cuLaunchGrid(CUfunction f, int grid_width, int grid_height); ^~~~~~~~~~~~ creating build/lib.linux-x86_64-2.7 creating build/lib.linux-x86_64-2.7/cpyrit x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-rHYsq1/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-rHYsq1/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-x86_64-2.7/_cpyrit_cuda.o -lcrypto -lcuda -lz -o build/lib.linux-x86_64-2.7/cpyrit/_cpyrit_cuda.so running install running install_lib copying build/lib.linux-x86_64-2.7/cpyrit/_cpyrit_cuda.so -> /usr/local/lib/python2.7/dist-packages/cpyrit running install_egg_info Writing /usr/local/lib/python2.7/dist-packages/cpyrit_cuda-0.5.0.egg-info
but when i use pyrit list_cores, I can see my CUDA device..
Hi, I have been trying to make pyrit find my GPU for the past 6 hours with no success can you please help me @Hackitfree
That's what I'm getting,
/usr/include/crt/common_functions.h:93:10: fatal error: 'new' file not found
#include
@Aldosari95 try removing the arguments: -ccbin clang from modules/cpyrit_cuda/setup.py
