Nvidia optimus black screen

First off am new to kali, whilst some members will come out with "you shouldn't be using kali" I made the decision to start with kali not because it's easy or I want to hack everyone in my street but because I want to learn the basics of the tools and progress. Everyone runs into an issue on linux and needs help so it would still happen even if I was running ubuntu or another distro.

Issue
I have a HP-Envy laptop which has a nvidia optimus card. The card is a Geforce 840m and it switches between my intel card and the nvidia card. I wanted to get the Nvidia side working on laptop to try out cudahashcat. My cpu with aircrack was only managing 3700 keys per second and I wanted to speed that up.
I followed the nvidia install page here and when I rebooted I got the black screen of death. I got the terminal working and someone mentioned on a ubuntu forum to purge the nvidia driver and in a similar thread someone suggested moving/renaming the xorg.conf file to "xorg.conf.blah" but to no avail. The operating system is not within a virtual machine, I had it installed on a seperate hard drive and within my own bios I cannot switch off the intel chip. I need to get back to using the intel drivers (I think) but not sure how to do that and I need to know if anyone knows a way to get my nvidia card working for cudahashcat? I have seen people on other sites using the 840m but am not sure and couldn't find their installation procedure. If anyone knows how or a guide to explain how that would be greatly appreciated. If I have to reinstall kali that's fine as I keep everything backed up on an encrypted usb. I just need to be able to get the graphics chip working as that's my main issue.

Hi,

First, I suggest you to perform a new fresh install to start on solid bases.

- Edit your sources.list:

Quote:

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leafpad /etc/apt/sources.list

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to have these repo:

Code:

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# Regular repositories
deb http://http.kali.org/kali sana main non-free contrib
deb http://security.kali.org/kali-security/ sana/updates main contrib non-free
#Source repositories
deb-src http://http.kali.org/kali sana main non-free contrib
deb-src http://security.kali.org/kali-security/ sana/updates main contrib non-free

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- Update and upgrade:

Quote:

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

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- Install Bumblebee nvidia and activate it:

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apt-get install bumblebee-nvidia primus

adduser $USER bumblebee (where $USER is your current session, mine is root)

systemctl enable bumblebeed

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(it is the right name: "bumblebeed" )

reboot (it could take a few seconds to reboot on your session, don't panic)

- Test bumblebee:

Quote:

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bumblebeed -vv

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your output should look like this:

Code:

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root@Negatho:~# bumblebeed -vv
[13443.577039] [DEBUG]Found card: 01:00.0 (discrete)
[13443.577070] [DEBUG]Found card: 00:02.0 (integrated)
[13443.577081] [DEBUG]Reading file: /etc/bumblebee/bumblebee.conf
[13443.577332] [INFO]Configured driver: nvidia
[13443.577353] [DEBUG]Skipping auto-detection, using configured driver 'nvidia'
[13443.577485] [DEBUG]Process /sbin/modprobe started, PID 30594.
[13443.577552] [DEBUG]Hiding stderr for execution of /sbin/modprobe
[13443.578789] [DEBUG]SIGCHILD received, but wait failed with No child processes
[13443.578860] [DEBUG]bbswitch has been detected.
[13443.578872] [INFO]Switching method 'bbswitch' is available and will be used.
[13443.578882] [DEBUG]Active configuration:
[13443.578892] [DEBUG] bumblebeed config file: /etc/bumblebee/bumblebee.conf
[13443.578901] [DEBUG] X display: :8
[13443.578910] [DEBUG] LD_LIBRARY_PATH: /usr/lib/x86_64-linux-gnu/nvidia:/usr/lib/i386-linux-gnu/nvidia:/usr/lib/nvidia
[13443.578920] [DEBUG] Socket path: /var/run/bumblebee.socket
[13443.578930] [DEBUG] pidfile: /var/run/bumblebeed.pid
[13443.578938] [DEBUG] xorg.conf file: /etc/bumblebee/xorg.conf.nvidia
[13443.578947] [DEBUG] xorg.conf.d dir: /etc/bumblebee/xorg.conf.d
[13443.578956] [DEBUG] ModulePath: /usr/lib/nvidia,/usr/lib/xorg/modules
[13443.578964] [DEBUG] GID name: bumblebee
[13443.578973] [DEBUG] Power method: auto
[13443.578981] [DEBUG] Stop X on exit: 1
[13443.578990] [DEBUG] Driver: nvidia
[13443.578998] [DEBUG] Driver module: nvidia-current
[13443.579007] [DEBUG] Card shutdown state: 1
[13443.579125] [DEBUG]Process /sbin/modprobe started, PID 30595.
[13443.579186] [DEBUG]Hiding stderr for execution of /sbin/modprobe
[13443.580364] [DEBUG]SIGCHILD received, but wait failed with No child processes
[13443.580389] [DEBUG]Configuration test passed.
[13443.580437] [ERROR]Daemon already running, pid 820

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- Edit bumblebee .conf files:

first xorg nvidia conf

Quote:

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leafpad /etc/bumblebee/xorg.conf.nvidia

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It should look like this, if not edit it to have exactly the same as this:

Code:

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Section "ServerLayout"
    Identifier  "Layout0"
    Option      "AutoAddDevices" "false"
    Option      "AutoAddGPU" "false"
EndSection

Section "Device"
    Identifier  "DiscreteNvidia"
    Driver      "nvidia"
    VendorName  "NVIDIA Corporation"

#  If the X server does not automatically detect your VGA device,
#  you can manually set it here.
#  To get the BusID prop, run `lspci | egrep 'VGA|3D'` and input the data
#  as you see in the commented example.
#  This Setting may be needed in some platforms with more than one
#  nvidia card, which may confuse the proprietary driver (e.g.,
#  trying to take ownership of the wrong device). Also needed on Ubuntu 13.04.
    BusID "PCI:01:00:0" (#WARNING HERE: do lspci to have the right BusID and respect the pattern, however the output look like PCI:00:00.0 but it does translate here as PCI 00:00:00)
#  Setting ProbeAllGpus to false prevents the new proprietary driver
#  instance spawned to try to control the integrated graphics card,
#  which is already being managed outside bumblebee.
#  This option doesn't hurt and it is required on platforms running
#  more than one nvidia graphics card with the proprietary driver.
#  (E.g. Macbook Pro pre-2010 with nVidia 9400M + 9600M GT).
#  If this option is not set, the new Xorg may blacken the screen and
#  render it unusable (unless you have some way to run killall Xorg).
    Option "ProbeAllGpus" "false"
    Option "NoLogo" "true"
    Option "UseEDID" "false"
    Option "UseDisplayDevice" "none"
EndSection

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second xorg nouveau conf

Quote:

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leafpad /etc/bumblebee/xorg.conf.nouveau

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Code:

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Section "ServerLayout"
    Identifier  "Layout0"
    Option      "AutoAddDevices" "false"
    Option      "AutoAddGPU" "false"
EndSection

Section "Device"
    Identifier  "DiscreteNvidia"
    Driver      "nouveau"

#  If the X server does not automatically detect your VGA device,
#  you can manually set it here.
#  To get the BusID prop, run `lspci | egrep 'VGA|3D'` and input the data
#  as you see in the commented example.
#  This Setting is needed on Ubuntu 13.04.
    BusID "PCI:01:00:0"(#same warning as nvidia.conf above)

EndSection

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third bumblebee conf

Quote:

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leafpad /etc/bumblebee/bumblebee.conf

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Code:

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# Configuration file for Bumblebee. Values should **not** be put between quotes

## Server options. Any change made in this section will need a server restart
# to take effect.
[bumblebeed]
# The secondary Xorg server DISPLAY number
VirtualDisplay=:8
# Should the unused Xorg server be kept running? Set this to true if waiting
# for X to be ready is too long and don't need power management at all.
KeepUnusedXServer=false
# The name of the Bumbleblee server group name (GID name)
ServerGroup=bumblebee
# Card power state at exit. Set to false if the card shoud be ON when Bumblebee
# server exits.
TurnCardOffAtExit=false
# The default behavior of '-f' option on optirun. If set to "true", '-f' will
# be ignored.
NoEcoModeOverride=false
# The Driver used by Bumblebee server. If this value is not set (or empty),
# auto-detection is performed. The available drivers are nvidia and nouveau
# (See also the driver-specific sections below)
Driver=nvidia
# Directory with a dummy config file to pass as a -configdir to secondary X
XorgConfDir=/etc/bumblebee/xorg.conf.d

## Client options. Will take effect on the next optirun executed.
[optirun]
# Acceleration/ rendering bridge, possible values are auto, virtualgl and
# primus.
Bridge=auto
# The method used for VirtualGL to transport frames between X servers.
# Possible values are proxy, jpeg, rgb, xv and yuv.
VGLTransport=proxy
# List of paths which are searched for the primus libGL.so.1 when using
# the primus bridge
PrimusLibraryPath=/usr/lib/x86_64-linux-gnu/primus:/usr/lib/i386-linux-gnu/primus:/usr/lib/primus:/usr/lib32/primus
# Should the program run under optirun even if Bumblebee server or nvidia card
# is not available?
AllowFallbackToIGC=false

# Driver-specific settings are grouped under [driver-NAME]. The sections are
# parsed if the Driver setting in [bumblebeed] is set to NAME (or if auto-
# detection resolves to NAME).
# PMMethod: method to use for saving power by disabling the nvidia card, valid
# values are: auto - automatically detect which PM method to use
#        bbswitch - new in BB 3, recommended if available
#      switcheroo - vga_switcheroo method, use at your own risk
#            none - disable PM completely
# https://github.com/Bumblebee-Project/Bumblebee/wiki/Comparison-of-PM-methods

## Section with nvidia driver specific options, only parsed if Driver=nvidia
[driver-nvidia]
# Module name to load, defaults to Driver if empty or unset
KernelDriver=nvidia-current
PMMethod=auto
# colon-separated path to the nvidia libraries
LibraryPath=/usr/lib/x86_64-linux-gnu/nvidia:/usr/lib/i386-linux-gnu/nvidia:/usr/lib/nvidia
# comma-separated path of the directory containing nvidia_drv.so and the
# default Xorg modules path
XorgModulePath=/usr/lib/nvidia,/usr/lib/xorg/modules
XorgConfFile=/etc/bumblebee/xorg.conf.nvidia

## Section with nouveau driver specific options, only parsed if Driver=nouveau
[driver-nouveau]
KernelDriver=nouveau
PMMethod=auto
XorgConfFile=/etc/bumblebee/xorg.conf.nouveau

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now reboot again

install nvidia-settings

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apt-get install nvidia-settings

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you can now call nvidia settings with this command

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optirun nvidia-settings -c :8

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you're almost done
now you need to install cuda tools

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apt-get install nvidia-cuda-toolkit

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then in order to add cuda for pyrit you have to install python dev and lib

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

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download cpyrit for cuda

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https://code.google.com/p/pyrit/downloads/list

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in order to build and install it you must install the missing libssl-dev

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apt-get install libssl-dev

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extract your cpyrit-cuda

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tar xzf cpyrit-cuda-0.4.0.tar.gz

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and move it to your /home
navigate into the extracted folder and build/install it to add the module to pyrit

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cd cpyrit-cuda-0.4.0/

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Quote:

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python setup.py build

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Quote:

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python setup.py install

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now you can check if your nvidia cuda core is listed

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pyrit list_cores

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Et voilÃ* !!!

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pyrit benchmark

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I hope this tutorial will you
Happy cracking !
:)
*edit: missing installation of nvidia-settings

Edited my first post, so dismissed this one.

If this little tuto has helped you tell me :)
If there is anything I've missed or you don't understand, feel free to ask me.

Hi after following your instruction when i execute

Quote:

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optirun nvidia-settings -c :8

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i get the followinf error:

Quote:

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[ 729.918090] [ERROR]Cannot access secondary GPU - error: Could not load GPU driver
[ 729.918164] [ERROR]Aborting because fallback start is disabled.

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What is the output of your xorg.conf.nvidia ?
In the same time what bumblebee is saying with the command bumblebeed -vv ?

Hi
I followed this guide and got nvidia driver installed but when i check for cores nvidia doesnt show up heres what i get
root@kali:~# pyrit list_cores
Pyrit 0.4.0 (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)'

This are some errors that i get when installing pyrit

root@kali:~# tar xzf cpyrit-cuda-0.4.0.tar.gz
root@kali:~# cd cpyrit-cuda-0.4.0/ python setup.py build
root@kali:~/cpyrit-cuda-0.4.0# python setup.py build
The CUDA compiler and headers required to build kernel were not found. Trying to continue anyway...
svn: E155007: '/root/cpyrit-cuda-0.4.0' is not a working copy
running build
running build_ext
Compiling CUDA module using nvcc 6.0, V6.0.1...
Executing 'nvcc -m64 --host-compilation C -Xcompiler "-fPIC" --ptx ./_cpyrit_cudakernel.cu'
nvcc warning : option 'host-compilation' has been deprecated and is ignored
nvcc warning : The 'compute_10' and 'sm_10' architectures are deprecated, and may be removed in a future release.
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 -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC -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="0.4.0"
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 -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -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

root@kali:~/cpyrit-cuda-0.4.0# python setup.py install
The CUDA compiler and headers required to build kernel were not found. Trying to continue anyway...
svn: E155007: '/root/cpyrit-cuda-0.4.0' is not a working copy
running install
running build
running build_ext
Skipping rebuild of Nvidia CUDA kernel ...
Building modules...
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
Removing /usr/local/lib/python2.7/dist-packages/cpyrit_cuda-0.4.0.egg-info
Writing /usr/local/lib/python2.7/dist-packages/cpyrit_cuda-0.4.0.egg-info
root@kali:~/cpyrit-cuda-0.4.0#

is this normal or im doing something wrong?

Quote:

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Originally Posted by cartof

Hi
I followed this guide and got nvidia driver installed but when i check for cores nvidia doesnt show up heres what i get
root@kali:~# pyrit list_cores
Pyrit 0.4.0 (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)'

This are some errors that i get when installing pyrit

root@kali:~# tar xzf cpyrit-cuda-0.4.0.tar.gz
root@kali:~# cd cpyrit-cuda-0.4.0/ python setup.py build
root@kali:~/cpyrit-cuda-0.4.0# python setup.py build
The CUDA compiler and headers required to build kernel were not found. Trying to continue anyway...
svn: E155007: '/root/cpyrit-cuda-0.4.0' is not a working copy
running build
running build_ext
Compiling CUDA module using nvcc 6.0, V6.0.1...
Executing 'nvcc -m64 --host-compilation C -Xcompiler "-fPIC" --ptx ./_cpyrit_cudakernel.cu'
nvcc warning : option 'host-compilation' has been deprecated and is ignored
nvcc warning : The 'compute_10' and 'sm_10' architectures are deprecated, and may be removed in a future release.
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 -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC -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="0.4.0"
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 -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -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

root@kali:~/cpyrit-cuda-0.4.0# python setup.py install
The CUDA compiler and headers required to build kernel were not found. Trying to continue anyway...
svn: E155007: '/root/cpyrit-cuda-0.4.0' is not a working copy
running install
running build
running build_ext
Skipping rebuild of Nvidia CUDA kernel ...
Building modules...
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
Removing /usr/local/lib/python2.7/dist-packages/cpyrit_cuda-0.4.0.egg-info
Writing /usr/local/lib/python2.7/dist-packages/cpyrit_cuda-0.4.0.egg-info
root@kali:~/cpyrit-cuda-0.4.0#

is this normal or im doing something wrong?

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Hi, I also got the same output. i hope it is normal xD

Quote:

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Originally Posted by harry_arg

Hi after following your instruction when i execute i get the followinf error:

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i have the same problem.. anyone have any ideas?