Kali Linux 1.0.7 kernel 3.14 install NVIDIA driver kernel Module CUDA and Pyrit – CUDA, Pyrit and Cpyrit-cuda

In this guide, I will show how to install NVIDIA driver kernel Module CUDA, replace stock Pyrit, and install Cpyrit. The main problem with new Kali Linux 1.0.7 running Kernel 3.14 was that it broke Pyrit and cudaHashcat. When you try to run pyrit command, you get this error ERROR: could not insert ‘nvidia_uvm’: Invalid argument.  I will show how to install all the necessary drivers, modules and also fix this error. At the end of this guide, you will be able to use GPU acceleration for enabled applications such as cudaHashcat, Pyrit, crunch etc.

This guide replaces the old guides

1. How to Install NVIDIA Kernel Module CUDA and Pyrit in Kali Linux
2. Install proprietary NVIDIA driver on Kali Linux – NVIDIA Accelerated Linux Graphics Driver

This is part 2 of installing NVIDIA driver kernel Module CUDA and Pyrit on Kali Linux Driver series which was divided into two parts:

1. Kali Linux 1.0.7 kernel 3.14 – Install proprietary NVIDIA driver – NVIDIA Accelerated Linux Graphics Driver
2. Kali Linux 1.0.7 kernel 3.14 install NVIDIA driver kernel Module CUDA and Pyrit – CUDA, Pyrit and Cpyrit-cuda

You use the first guide to install NVIDIA Driver on Kali Linux. I would assume you followed the first guide and completed all steps there and would like to enable GPU acceleration, (cudahashcat, GPU pass through etc.) on your Kali Linux.

CUDA Toolkit

The NVIDIA® CUDA® Toolkit provides a comprehensive development environment for C and C++ developers building GPU-accelerated applications. The CUDA Toolkit includes a compiler for NVIDIA GPUs, math libraries, and tools for debugging and optimizing the performance of your applications. You’ll also find programming guides, user manuals, API reference, and other documentation to help you get started quickly accelerating your application with GPUs. You can read a lot more here in NVIDIA Developers official webpage:

CUDA Toolkit

Prerequisites

Following are the prerequisite before you start following this guide:

NOTE: This guide does not apply to VMWare, VirtualBox users. GPU Acceleration doesn’t work on Virtual environment.

Prerequisite 1: add Official Kali Linux repository.

I’ve added the correct Kali Official repositories and issued the following commands to update, upgrade and dist-upgrade my Kali Linux.

apt-get update && apt-get upgrade -y && apt-get dist-upgrade -y

Prerequisite 2: Install proprietary NVIDIA driver on Kali Linux

I’ve installed the correct official proprietary NVIDIA driver on Kali Linux – NVIDIA Accelerated Linux Graphics Driver using the previous guide:

• Kali Linux 1.0.7 kernel 3.14 – Install proprietary NVIDIA driver – NVIDIA Accelerated Linux Graphics Driver

If you’ve completed both, move to next instruction.

Step 1: Install NVIDIA CUDA toolkit and openCL

At first we need to install NVIDIA CUDA toolkit and NVIDIA openCL

aptitude install nvidia-cuda-toolkit nvidia-opencl-icd

This will install CUDA packages in your Kali Linux. The total package is pretty large including dependencies, (282MB something), you be patient and let it finish.

Step 2: Download Pyrit and Cpyrit

Download Pyrit and Cpyrit from the official website:

https://pyrit.googlecode.com

Save them in your /root folder. Alternatively you can just run the wget commands I’ve used below:

wget https://pyrit.googlecode.com/files/pyrit-0.4.0.tar.gz
wget https://pyrit.googlecode.com/files/cpyrit-cuda-0.4.0.tar.gz

Step 3: Install Pyrit

Follow the instructions below to install Pyrit and it’s prerequisites.

Step 3.a: Install Pyrit prerequisites

apt-get install python2.7-dev python2.7-libpcap libpcap-dev

Step 3.b: Remove existing installation of Pyrit

Remove stock Pyrit using the following command:

apt-get remove pyrit

We used to get a message stating that it will also remove kali-linux-full package. Seems on Kali Linux 1.0.7 it’s fixed.

If you are not using a clean install of Kali (not recommended), you may need to issue the following command:

rm -r /usr/local/lib/python2.7/dist-packages/cpyrit/

Step 3.c: Install new Pyrit

Copy paste the following commands to extract downloaded Pyrit in your Kali Linux /root directory

tar -xzf pyrit-0.4.0.tar.gz
cd pyrit-0.4.0

Now build the package

python setup.py build

Once build is complete, you can install Pyrit.

python setup.py install

Up to this point, you shouldn’t receive any errors.

Step 4: Install CPyrit-cuda

Copy paste the following commands to extract downloaded CPyrit-cuda in your Kali Linux /root directory

tar -xzf cpyrit-cuda-0.4.0.tar.gz 
cd cpyrit-cuda-0.4.0

Now build the package

python setup.py build

Once build is complete, you can install CPyrit-cuda.

python setup.py install

Again, you shouldn’t receive any errors, if there’s error, go back and review each steps.

Step 5: Fixing ERROR: could not insert ‘nvidia_uvm’: Invalid argument

Now that we’ve installed NVIDIA driver kernel Module CUDA and Pyrit on Kali Linux, we should be able to test it. The best way to test is by issuing the following command:

pyrit list_cores

This gave me an error ERROR: could not insert ‘nvidia_uvm’: Invalid argument

root@kali:~# pyrit list_cores
ERROR: could not insert ‘nvidia_uvm’: Invalid argument
Pyrit 0.4.0 (C) 2008-2011 Lukas Lueg https://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)’

Thankfully, reader Shinri provided us with a fix. A BIG thanks to Shinri who spent time and effort to find the fix and was kind enough to post it back on my website.

Thanks Shinri.

Step 5.a Recompile NVIDIA Driver

First of all you need to recompile NVIDIA driver. Just follow the steps below:

cd /usr/src/nvidia-current-331.67
make

What you’re doing here is going to source directory for NVIDIA current driver and recompiling it. By recompiling, you ensure it’s aligned for your hardware.

Step 5.b: Copy  Module.symvers to UVM and recompile UVM

cp Module.symvers uvm/
make -C uvm

cp uvm/nvidia-uvm.ko /lib/modules/`uname -r`/updates/dkms

Once you’ve followed Shinri’s solution, recompiled NVIDIA driver, UVM and copied it to correct DKMS folder, pyrit will just work.

root@kali:~# pyrit list_cores
Pyrit 0.4.0 (C) 2008-2011 Lukas Lueg https://pyrit.googlecode.com
This code is distributed under the GNU General Public License v3+

The following cores seem available...
#1:  'CUDA-Device #1 'GeForce 210''
#2:  'CPU-Core (SSE2)'
#3:  'CPU-Core (SSE2)'
#4:  'CPU-Core (SSE2)'

Step 7 – Install oclHashcat (cudaHashcat)

The reason you’ve done all the hard work so that you can use cudaHashcat. I found that Kali 1.0.7 Kernel 3.14 doesn’t install that by default (maybe that was the case in every version). Doesn’t matter, we can just install it quickly.

Use the following command to install OCLhashcat (which contains cudaHashcat too)

apt-get install oclhashcat oclhashcat-plus

Step 8 – Missing cudahashcat in Kali 1.0.9 problem and fix

staticn0de provided a .deb file that you can install manually which installs cudahashcat for you. Link to Original Post below:

https://forums.kali.org/showthread.php?21956-(Guide)-Installing-Nvidia-Bumblebee-CUDA-for-Optimus-enabled-Laptops&p=36568&viewfull=1#post36568

I’ve only copy-pasted his instructions below, all credit goes to staticn0de, thank you.

root@kali:~# dpkg -i cudaHashcat-1.30.deb 
Selecting previously unselected package cudahashcat-1.30.
(Reading database ... 349321 files and directories currently installed.)
Unpacking cudahashcat-1.30 (from cudaHashcat-1.30.deb) ...
Setting up cudahashcat-1.30 (1.30) ...          
root@kali:~# optirun cudahashcat64 -t 32 -a 7 example0.hash ?a?a?a?a example.dict 
cudaHashcat v1.30 starting...

I have taken the archive from the hashcat site and modified it under section 6 of their EULA. The deb installs the program is /usr/share/cudahashcat and places scripts in /usr/bin which calls hashcat like any other command.

I’ll upload it tonight for anyone that wants to use it. Provided as is with no expectation it will work and it may cause damages including death and your wife leaving you (tic) but you get the idea.

Weighs in at 172mb

Download link:

Here’s the new download link:

https://mega.co.nz/#!kFMC2RQC!D1ccQYAwsWyGKD0CaV4W7n5Ghtc-YKFFxs7Qj1pgcw0
md5sum = b753c393264b3c40e51f057a96f3f6e9 
sha1sum = f4abc533f4ced0f7e9a82255ceecf0333c212fa2
The file is 475MB

 

Reply ↓

staticn0deJanuary 5, 2015 at 5:03 pm

Hey guys,

I had no idea blackmoreops had used my deb! must say, I’m pretty chuffed! I’ve always been a fan of his guides.

I’ve made a new deb based on the 1.31 cudahashcat. You can find it below in my thread on the kali forums. The guide was written for users with optimus laptops. Those of you who don’t have optimus, omit the ‘optirun’ prefix of the command to test it.

https://forums.kali.org/showthread.php?21956-(Guide)-Installing-Nvidia-Bumblebee-CUDA-for-Optimus-enabled-Laptops&p=40874&viewfull=1#post40874

Thanks again staticn0de.

https://www.mirrorcreator.com/files/WURGDJKL/cudaHashcat-1.30.deb_links

SHA1SUM
f2c0d96c75d1c186b48e11c5b399f3e2ccc5e459

when installed, its called with ‘cudahashcat64‘ for 64bit or ‘cudahashcat32‘ for 32 bit.

This was the most annoying download link … the amount of spams and popups and redirection was appalling.

Note that this is custom package, built by someone else than Kali Dev team and you should use it at your own risk.

Then again, with recent openSSL and Bash blunder, yeah.. use EVERYTHING in Linux at your own risk.

Once all done, run a cudahashcat benchmark

Bug report for missing cudahashcat in Kali 1.0.9

In the meantime, I’ve taken the liberty of reporting this missing cudahashcat as a Bug report.

https://bugs.kali.org/view.php?id=1756

Hopefully, it will be fixed in next release (i.e. Kali v1.0.10).

Conclusion

Pyrit allows to create massive databases, pre-computing part of the IEEE 802.11 WPA/WPA2-PSK authentication phase in a space-time-tradeoff. Exploiting the computational power of Many-Core- and other platforms through ATI-Stream, Nvidia CUDA and OpenCL, it is currently by far the most powerful attack against one of the world’s most used security-protocols.

If you’re reading this post and this helped, PLEASE put a comment “Thanks Shinri” in the comment section. That’s the least we can do.I guess a big thanks goes to staticn0de as well, feel free to post “Thanks staticn0de” if everything works for you.

Comment’s doesn’t require any signin/registration … so help yourself.

Thanks for reading. If this guide helped you to install NVIDIA driver kernel Module CUDA and Pyrit on Kali Linux 1.0.7 kernel 3.14 – CUDA, Pyrit and Cpyrit-cuda, please share this article and follow me in Facebook/Twitter.