Problem -> hashcat 6.1.2 + Geforce 5090
#1
I have a problem with Geforce 5090 + hashcat version 6.1.2

When I run crack task on hashcat 6.1.2 or earlier:

./hashcat -m 1000 -a 0 hash.txt BIG_DICTIONARY_20G.dic -r some.rule

My OS Ubuntu 24 is rebooting...

Version 7.1.2 is working without problem, it's same task works with  Geforce 4090 on all version of hashcat...

How can I run hashcat 6.1.2 + Geforce 5090, since on 6.1.2 I have my own implementation of one type of hash and I need to run it in this build?
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#2
(11-14-2025, 09:17 AM)zamgold Wrote: I have a problem with Geforce 5090 + hashcat version 6.1.2

When I run crack task on hashcat 6.1.2 or earlier:

./hashcat -m 1000 -a 0 hash.txt BIG_DICTIONARY_20G.dic -r some.rule

My OS Ubuntu 24 is rebooting...

Version 7.1.2 is working without problem, it's same task works with  Geforce 4090 on all version of hashcat...

How can I run hashcat 6.1.2 + Geforce 5090, since on 6.1.2 I have my own implementation of one type of hash and I need to run it in this build?

Important clarification!

Overloaded ONLY with the -O parameter:
./hashcat -m 1000 -a 0 hash.txt BIG_DICTIONARY_20G.dic -r some.rule -O
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#3
(11-14-2025, 11:48 AM)zamgold Wrote:  I have my own implementation of one type of hash and I need to run it in this build

Could it be that your changes to the source could be at fault if it works on every other version with the built in hash types? Just a thought.
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#4
(11-15-2025, 01:29 AM)slyexe Wrote:
(11-14-2025, 11:48 AM)zamgold Wrote:  I have my own implementation of one type of hash and I need to run it in this build

Could it be that your changes to the source could be at fault if it works on every other version with the built in hash types? Just a thought.

No. I try hashcat without my change for NTLM..Ubuntu 24, driver NVidea 580, Cuda 12.8...Hashcat reboot system , when I use -O option. hahcat 7.1 work...Probably in 7.1 the code is adapted for NVidia 50xx
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#5
I solved the problem. I uninstalled the Nvidia 480 graphics driver and installed the Nvidia 470 driver that was included in the Cuda Toolkit 12.8 package.
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