Package Details: cpyrit-opencl 0.4.0-3

Git Clone URL: https://aur.archlinux.org/cpyrit-opencl.git (read-only, click to copy)
Package Base: cpyrit-opencl
Description: OpenCL backend for accelerated attack against WPA-PSK authentication.
Upstream URL: http://code.google.com/p/pyrit/
Licenses: GPL3
Conflicts: cpyrit-calpp, cpyrit-calpp-svn, cpyrit-cuda, cpyrit-opencl
Submitter: mrbit
Maintainer: mrbit
Last Packager: mrbit
Votes: 15
Popularity: 0.000000
First Submitted: 2012-04-16 09:07 (UTC)
Last Updated: 2017-09-08 20:26 (UTC)

Latest Comments

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mrbit commented on 2017-09-08 20:26 (UTC)

ok, thx nashley

nashley commented on 2017-02-09 19:57 (UTC)

Depends on `libcl`, which does not exist. Should this dependency be `libclc` (https://www.archlinux.org/packages/extra/any/libclc/) instead?

mrbit commented on 2016-09-06 17:25 (UTC)

update source link

mrbit commented on 2015-10-22 15:05 (UTC)

Hi,fightcookie. ok done :)

xuiqzy commented on 2015-10-22 04:56 (UTC)

Also, please edit the description to be more like "Pyrit OpenCL backend for accelerated attack against WPA-PSK authentication" like in the -svn packages or something like that and not something with Nvidia Cuda. You can also edit the description in the cpyrit-cuda package to be a bit more informative if you like :)

mrbit commented on 2015-01-13 21:41 (UTC)

Thanks GI_Jack, done :)

GI_Jack commented on 2015-01-13 18:45 (UTC)

opencl != cuda, the cuda stuff and nvidia are uneccesary, as opencl is a generic language. also PKGBUILD is obsolete. needs a package() function now.

kostas213 commented on 2014-02-01 02:45 (UTC)

cuda-toolkit is not needed in makedepends.

dracorp commented on 2013-12-20 17:28 (UTC)

Builded without cuda-toolkit and nvidia, but nvidia is necessary to run on GPU. But I don't know how this works on ATI graphic cards (with package amdapp-sdk).

mrbit commented on 2013-12-16 19:51 (UTC)

Hi Kuci: go link: https://code.google.com/p/pyrit/ 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.

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