OpenCL support for both NVIDIA and AMD GPU's, newest CPU (including Sandy Bridge and Bulldozer) support.
User guest wrote about ver. 3.2a 2009-10-06
This SUCKS!!!!! I need a software to crack a password and it is asking me for a password. What give? Does that even make any sense?
User Joey wrote about ver. 3.2a 2009-10-04
BUG REPORT for non NVIDIA machines:
the -c flag is being ignored on my non-GPU machine.
Thanks for releasing this software. The README explanation was great.
MESG TO MORON people: you don't need a password that is only for the test file (helpfully) included with the program! My rating:3
User Gov'nor wrote about ver. 3.2a 2009-10-03
Irony: a password cracker that needs a password to be opened... but which is the password?
You guys are geniuses! My rating:1
User what is password :P wrote about ver. 3.2a 2009-09-27
good soft, but not easy to use.
i have q. how i should write def file. i know what password is more than 5 letters. and its from for exemplar ''frgtf'' and upwards? My rating:4
Author P. Semjanov wrote about ver. 3.2a 2009-09-15
Dear cRARk users!
If you wish to beta-test newest program version and you have computer with TWO OR MORE NVIDIA CUDA GPU's, please contact me by e-mail. Please write password to the current cRARk version in the subject. Thanks!
User email@example.com wrote about ver. 3.2a 2009-09-10
Funny thing to rar a rar password cracker with password. Makes the whole idea useless too.
User Alexei wrote about ver. 3.2a 2009-09-07
@ Chris - try to use like this: crark -m8 archive.rar - to make cuda work. At least i think this is working for me with my GeForce 9500 GT. My rating:4
User guest wrote about ver. 3.2a 2009-08-08
Now for a serious, non-password-related problem:
Whenever i use crark with CUDA, my display driver is reset and the program terminates. I can use it only with -c. I run Vista 64 on X4 940 and GTX 295 with latest drivers (190.38) and toolkit (2.3).
Anyone with an idea? My rating:4
User cubicle_owl wrote about ver. 3.2a 2009-08-08
works on option "-c" but can't get it working when cuda is called.