Can someone point me in the right direction as to why I am getting this errors? I am trying to run -a 0 -m 11300 against own hash but the attack fails in couple of minutes.
I have 537.34 driver and cuda 12.2.2 installed. OS Windows 10 Pro. Couple of rtx 3090
When I run the attack i get multiple messages in red text like:
cuMemFree(): an illegal instruction was encountered
cuEventDestroy(): an illegal instruction was encountered
cuStreamDestroy(): an illegal instruction was encountered
cuModuleUnload(): an illegal instruction was encountered
and then it quits
I forgot I am using
hashcat-6.2.6+747.
Also why is hashcat building/rebuilding dictionary cache every single time?
Also why I am getting better benchmark results with opencl rather then cuda?
Also I can't get hashcat to even start on hash mode 23800. I tried with optimized and pure kernels. With cuda and opencl etc but it simply quits every time
If anyone can share some wisdom I would be very grateful!
Thank you in advance
please run hashcat -I and post output
C:\Hashcat>hashcat -I
hashcat (v6.2.6-747-g5b06ffe63) starting in backend information mode
Support for HIPRTC was dropped by AMD Adrenalin Edition 22.7.1 and later.
This is not a hashcat problem.
Please install the AMD HIP SDK
CUDA Info:
==========
CUDA.Version.: 12.2
Backend Device ID #1 (Alias: #9)
Name...........: NVIDIA GeForce RTX 3090
Processor(s)...: 82
Clock..........: 1695
Memory.Total...: 24575 MB
Memory.Free....: 23320 MB
Local.Memory...: 99 KB
PCI.Addr.BDFe..: 0000:02:00.0
Backend Device ID #2 (Alias: #10)
Name...........: NVIDIA GeForce RTX 3090
Processor(s)...: 82
Clock..........: 1860
Memory.Total...: 24575 MB
Memory.Free....: 23320 MB
Local.Memory...: 99 KB
PCI.Addr.BDFe..: 0000:03:00.0
Backend Device ID #3 (Alias: #11)
Name...........: NVIDIA GeForce RTX 3090
Processor(s)...: 82
Clock..........: 1695
Memory.Total...: 24575 MB
Memory.Free....: 23320 MB
Local.Memory...: 99 KB
PCI.Addr.BDFe..: 0000:04:00.0
Backend Device ID #4 (Alias: #12)
Name...........: NVIDIA GeForce RTX 3090
Processor(s)...: 82
Clock..........: 1695
Memory.Total...: 24575 MB
Memory.Free....: 23320 MB
Local.Memory...: 99 KB
PCI.Addr.BDFe..: 0000:05:00.0
Backend Device ID #5 (Alias: #13)
Name...........: NVIDIA GeForce RTX 3090
Processor(s)...: 82
Clock..........: 1695
Memory.Total...: 24575 MB
Memory.Free....: 23320 MB
Local.Memory...: 99 KB
PCI.Addr.BDFe..: 0000:06:00.0
Backend Device ID #6 (Alias: #14)
Name...........: NVIDIA GeForce RTX 3090
Processor(s)...: 82
Clock..........: 1860
Memory.Total...: 24575 MB
Memory.Free....: 23320 MB
Local.Memory...: 99 KB
PCI.Addr.BDFe..: 0000:07:00.0
Backend Device ID #7 (Alias: #15)
Name...........: NVIDIA GeForce RTX 3090
Processor(s)...: 82
Clock..........: 1860
Memory.Total...: 24575 MB
Memory.Free....: 23320 MB
Local.Memory...: 99 KB
PCI.Addr.BDFe..: 0000:08:00.0
OpenCL Info:
============
OpenCL Platform ID #1
Vendor..: Intel(R) Corporation
Name....: Intel(R) OpenCL HD Graphics
Version.: OpenCL 3.0
Backend Device ID #8
Type...........: GPU
Vendor.ID......: 8
Vendor.........: Intel(R) Corporation
Name...........: Intel(R) UHD Graphics 750
Version........: OpenCL 3.0 NEO
Processor(s)...: 32
Clock..........: 1300
Memory.Total...: 52343 MB (limited to 2047 MB allocatable in one block)
Memory.Free....: 26112 MB
Local.Memory...: 64 KB
OpenCL.Version.: OpenCL C 1.2
Driver.Version.: 30.0.101.1994
OpenCL Platform ID #2
Vendor..: NVIDIA Corporation
Name....: NVIDIA CUDA
Version.: OpenCL 3.0 CUDA 12.2.138
Backend Device ID #9 (Alias: #1)
Type...........: GPU
Vendor.ID......: 32
Vendor.........: NVIDIA Corporation
Name...........: NVIDIA GeForce RTX 3090
Version........: OpenCL 3.0 CUDA
Processor(s)...: 82
Clock..........: 1695
Memory.Total...: 24575 MB (limited to 6143 MB allocatable in one block)
Memory.Free....: 23744 MB
Local.Memory...: 48 KB
OpenCL.Version.: OpenCL C 1.2
Driver.Version.: 537.34
PCI.Addr.BDF...: 02:00.0
Backend Device ID #10 (Alias: #2)
Type...........: GPU
Vendor.ID......: 32
Vendor.........: NVIDIA Corporation
Name...........: NVIDIA GeForce RTX 3090
Version........: OpenCL 3.0 CUDA
Processor(s)...: 82
Clock..........: 1860
Memory.Total...: 24575 MB (limited to 6143 MB allocatable in one block)
Memory.Free....: 23744 MB
Local.Memory...: 48 KB
OpenCL.Version.: OpenCL C 1.2
Driver.Version.: 537.34
PCI.Addr.BDF...: 03:00.0
Backend Device ID #11 (Alias: #3)
Type...........: GPU
Vendor.ID......: 32
Vendor.........: NVIDIA Corporation
Name...........: NVIDIA GeForce RTX 3090
Version........: OpenCL 3.0 CUDA
Processor(s)...: 82
Clock..........: 1695
Memory.Total...: 24575 MB (limited to 6143 MB allocatable in one block)
Memory.Free....: 23744 MB
Local.Memory...: 48 KB
OpenCL.Version.: OpenCL C 1.2
Driver.Version.: 537.34
PCI.Addr.BDF...: 04:00.0
Backend Device ID #12 (Alias: #4)
Type...........: GPU
Vendor.ID......: 32
Vendor.........: NVIDIA Corporation
Name...........: NVIDIA GeForce RTX 3090
Version........: OpenCL 3.0 CUDA
Processor(s)...: 82
Clock..........: 1695
Memory.Total...: 24575 MB (limited to 6143 MB allocatable in one block)
Memory.Free....: 23744 MB
Local.Memory...: 48 KB
OpenCL.Version.: OpenCL C 1.2
Driver.Version.: 537.34
PCI.Addr.BDF...: 05:00.0
Backend Device ID #13 (Alias: #5)
Type...........: GPU
Vendor.ID......: 32
Vendor.........: NVIDIA Corporation
Name...........: NVIDIA GeForce RTX 3090
Version........: OpenCL 3.0 CUDA
Processor(s)...: 82
Clock..........: 1695
Memory.Total...: 24575 MB (limited to 6143 MB allocatable in one block)
Memory.Free....: 23744 MB
Local.Memory...: 48 KB
OpenCL.Version.: OpenCL C 1.2
Driver.Version.: 537.34
PCI.Addr.BDF...: 06:00.0
Backend Device ID #14 (Alias: #6)
Type...........: GPU
Vendor.ID......: 32
Vendor.........: NVIDIA Corporation
Name...........: NVIDIA GeForce RTX 3090
Version........: OpenCL 3.0 CUDA
Processor(s)...: 82
Clock..........: 1860
Memory.Total...: 24575 MB (limited to 6143 MB allocatable in one block)
Memory.Free....: 23744 MB
Local.Memory...: 48 KB
OpenCL.Version.: OpenCL C 1.2
Driver.Version.: 537.34
PCI.Addr.BDF...: 07:00.0
Backend Device ID #15 (Alias: #7)
Type...........: GPU
Vendor.ID......: 32
Vendor.........: NVIDIA Corporation
Name...........: NVIDIA GeForce RTX 3090
Version........: OpenCL 3.0 CUDA
Processor(s)...: 82
Clock..........: 1860
Memory.Total...: 24575 MB (limited to 6143 MB allocatable in one block)
Memory.Free....: 23744 MB
Local.Memory...: 48 KB
OpenCL.Version.: OpenCL C 1.2
Driver.Version.: 537.34
PCI.Addr.BDF...: 08:00.0
plz try the following, add following options and see whether the attack starts or also fails ot the beginning
-D2 -d1
when running add devices 2 up to 7 (this sticks hashcat to your graphic cards only)
-D2 -d1,2
-D2 -d1,2,3
until it fails again, i think there could be a problem with the overall system RAM you provide as its just a fraction of your GPU RAM, i didnt find the thread right now where a dev answered how much RAM needed per GPU RAM
From what I remember it is best to have 1:1 of VRAM to system RAM.
The system I am using has 128GB installed on the motherboard. I will try to add some of the SSD as RAM and see if it makes a difference.
"plz try the following, add following options and see whether the attack starts or also fails ot the beginning
-D2 -d1
when running add devices 2 up to 7 (this sticks hashcat to your graphic cards only)
-D2 -d1,2
-D2 -d1,2,3"
Ok it does not want to start with more then 4 cards that way. And most of the times I have to try several time to start it even with 2-3 cards. It gives - "Initializing backend runtime for device #2. Please be patient..." and quits and I have to try again and again until it starts. Usually from 3rd, 4th time (This is with up to 4 cards)
With anything more it just quits on ""Initializing backend runtime for device #1. Please be patient..." every time.
Without those options -D -d all cards are starting but hashcat fails after 8-10 minutes with the errors from the first post
After all the tests yesterday it stopped working at all. I had to actually "reinstall" hashcat to run it again. Anyone any ideas?
Maybe I should switch to Linux.
After more tests it might be related to somewhat aggressive undervolting I did on the GPUs
To resolve issues with Hashcat on Windows and multiple GPUs, ensure your system has a balanced VRAM to system RAM ratio, avoid aggressive GPU undervolting, and consider switching to Linux for better GPU support.
Thanks for the reply! Yes it seems the undervolting was an issue.
Also do you have any idea on the other questions I asked?
Why is hashcat building/rebuilding dictionary cache every single time?
Why I am getting better benchmark results with opencl rather then cuda?