Posts: 4
Threads: 1
Joined: Nov 2016
Running Hashcat on Ubuntu 16.04, using the nvidia-367 and Intel i95 drivers. It works fine when cracking MD5. It works fine when cracking NTLMv2 so long as I'm not using rules. As soon as I try something like:
Code: # ./hashcat -m 5600 -a 0 /path/to/responder_hashes.txt ../WordLists/rockyou.txt -r rules/best64.rule
I get the following:
Code: hashcat (v3.10-829-g646a472) starting...
OpenCL Platform #1: Intel
=========================
* Device #1: Intel(R) HD Graphics Haswell GT2 Mobile, 1024/2048 MB allocatable, 20MCU
Hashes: 58 digests; 58 unique digests, 58 unique salts
Bitmaps: 16 bits, 65536 entries, 0x0000ffff mask, 262144 bytes, 5/13 rotates
Rules: 77
Applicable Optimizers:
* Zero-Byte
* Not-Iterated
Watchdog: Hardware Monitoring Interface not found on your system
Watchdog: Temperature abort trigger disabled
Watchdog: Temperature retain trigger disabled
Initializing device kernels and memory...ASSERTION FAILED: Fail to compile kernel, may need to increase reserved registers for spilling.
at file /build/beignet-5qGeBM/beignet-1.1.1/backend/src/backend/gen_program.cpp, function virtual gbe::Kernel* gbe::GenProgram::compileKernel(const gbe::ir::Unit&, const string&, bool), line 200
Trace/breakpoint trap (core dumped)
I get the same behavior whether the NVidia drivers are enabled or not (using prime-select or directly through nvidia-settings). It works fine in the other attack modes ... just not the one I need.
I tried both the latest release and version from git.
I have no idea what to try next. Advice?
Posts: 5,185
Threads: 230
Joined: Apr 2010
Clearly not an hashcat issue, the compiler error make that clear. We should ban beignet support to reduce support overhead. Can you please paste the output of hashcat -I and ideally clinfo?
Posts: 4
Threads: 1
Joined: Nov 2016
(11-28-2016, 02:42 PM)atom Wrote: Clearly not an hashcat issue, the compiler error make that clear. We should ban beignet support to reduce support overhead. Can you please paste the output of hashcat -I and ideally clinfo?
After doing some more research, as I understand things, the issue is in beignet, which is how (I think) hashcat accesses the Intel chip. What I couldn't find was a way to tell hashcat to only use the NVidia. I think, if I could do that, I could work around the immediate issue. Is that possible?
Interestingly, there is no "-I" option in the binary version of Hashcat for Linux. Here it is from the version I compiled off of github:
Code: # ./hashcat -I
hashcat (v3.10-829-g646a472) starting...
OpenCL Info:
Platform ID #1
Vendor : Intel
Name : Intel Gen OCL Driver
Version : OpenCL 1.2 beignet 1.1.1
Device ID #1
Type : GPU
Vendor ID : 4
Vendor : Intel
Name : Intel(R) HD Graphics Haswell GT2 Mobile
Version : OpenCL 1.2 beignet 1.1.1
Processor(s) : 20
Clock : 1000
Memory : 1024/2048 MB allocatable
OpenCL Version : OpenCL C 1.2 beignet 1.1.1
Driver Version : 1.1.1
And here is clinfo:
Code: # clinfo
Number of platforms 1
Platform Name Intel Gen OCL Driver
Platform Vendor Intel
Platform Version OpenCL 1.2 beignet 1.1.1
Platform Profile FULL_PROFILE
Platform Extensions cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_byte_addressable_store cl_khr_spir cl_khr_icd
Platform Extensions function suffix Intel
Platform Name Intel Gen OCL Driver
Number of devices 1
Device Name Intel(R) HD Graphics Haswell GT2 Mobile
Device Vendor Intel
Device Vendor ID 0x8086
Device Version OpenCL 1.2 beignet 1.1.1
Driver Version 1.1.1
Device OpenCL C Version OpenCL C 1.2 beignet 1.1.1
Device Type GPU
Device Profile FULL_PROFILE
Max compute units 20
Max clock frequency 1000MHz
Device Partition (core)
Max number of sub-devices 1
Supported partition types None, None, None
Max work item dimensions 3
Max work item sizes 512x512x512
Max work group size 512
Preferred work group size multiple 16
Preferred / native vector sizes
char 16 / 8
short 8 / 8
int 4 / 4
long 2 / 2
half 0 / 8 (n/a)
float 4 / 4
double 0 / 2 (n/a)
Half-precision Floating-point support (n/a)
Single-precision Floating-point support (core)
Denormals No
Infinity and NANs Yes
Round to nearest Yes
Round to zero No
Round to infinity No
IEEE754-2008 fused multiply-add No
Support is emulated in software No
Correctly-rounded divide and sqrt operations No
Double-precision Floating-point support (n/a)
Address bits 32, Little-Endian
Global memory size 2147483648 (2GiB)
Error Correction support No
Max memory allocation 1073741824 (1024MiB)
Unified memory for Host and Device Yes
Minimum alignment for any data type 128 bytes
Alignment of base address 1024 bits (128 bytes)
Global Memory cache type Read/Write
Global Memory cache size 8192
Global Memory cache line 64 bytes
Image support Yes
Max number of samplers per kernel 16
Max size for 1D images from buffer 65536 pixels
Max 1D or 2D image array size 2048 images
Max 2D image size 8192x8192 pixels
Max 3D image size 8192x8192x2048 pixels
Max number of read image args 128
Max number of write image args 8
Local memory type Global
Local memory size 65536 (64KiB)
Max constant buffer size 134217728 (128MiB)
Max number of constant args 8
Max size of kernel argument 1024
Queue properties
Out-of-order execution No
Profiling Yes
Prefer user sync for interop Yes
Profiling timer resolution 80ns
Execution capabilities
Run OpenCL kernels Yes
Run native kernels Yes
SPIR versions <printDeviceInfo:138: get SPIR versions size : error -30>
printf() buffer size 1048576 (1024KiB)
Built-in kernels __cl_copy_region_align4;__cl_copy_region_align16;__cl_cpy_region_unalign_same_offset;__cl_copy_region_unalign_dst_offset;__cl_copy_region_unalign_src_offset;__cl_copy_buffer_rect;__cl_copy_image_1d_to_1d;__cl_copy_image_2d_to_2d;__cl_copy_image_3d_to_2d;__cl_copy_image_2d_to_3d;__cl_copy_image_3d_to_3d;__cl_copy_image_2d_to_buffer;__cl_copy_image_3d_to_buffer;__cl_copy_buffer_to_image_2d;__cl_copy_buffer_to_image_3d;__cl_fill_region_unalign;__cl_fill_region_align2;__cl_fill_region_align4;__cl_fill_region_align8_2;__cl_fill_region_align8_4;__cl_fill_region_align8_8;__cl_fill_region_align8_16;__cl_fill_region_align128;__cl_fill_image_1d;__cl_fill_image_1d_array;__cl_fill_image_2d;__cl_fill_image_2d_array;__cl_fill_image_3d;
Device Available Yes
Compiler Available Yes
Linker Available Yes
Device Extensions cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_byte_addressable_store cl_khr_spir cl_khr_icd
NULL platform behavior
clGetPlatformInfo(NULL, CL_PLATFORM_NAME, ...) No platform
clGetDeviceIDs(NULL, CL_DEVICE_TYPE_ALL, ...) No platform
clCreateContext(NULL, ...) [default] No platform
clCreateContext(NULL, ...) [other] Success [Intel]
clCreateContextFromType(NULL, CL_DEVICE_TYPE_CPU) No platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_GPU) No platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_ACCELERATOR) No platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_CUSTOM) No platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_ALL) No platform
Posts: 4
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(11-28-2016, 04:53 PM)joshmore Wrote: [quote='atom' pid='32410' dateline='1480336961']
Clearly not an hashcat issue, the compiler error make that clear. We should ban beignet support to reduce support overhead. Can you please paste the output of hashcat -I and ideally clinfo?
And just to be complete, here are the infodumps for when I have the NVidia side activated as well:
Code: # ./hashcat -I
hashcat (v3.10-829-g646a472) starting...
OpenCL Info:
Platform ID #1
Vendor : Intel
Name : Intel Gen OCL Driver
Version : OpenCL 1.2 beignet 1.1.1
Device ID #1
Type : GPU
Vendor ID : 4
Vendor : Intel
Name : Intel(R) HD Graphics Haswell GT2 Mobile
Version : OpenCL 1.2 beignet 1.1.1
Processor(s) : 20
Clock : 1000
Memory : 1024/2048 MB allocatable
OpenCL Version : OpenCL C 1.2 beignet 1.1.1
Driver Version : 1.1.1
Platform ID #2
Vendor : NVIDIA Corporation
Name : NVIDIA CUDA
Version : OpenCL 1.2 CUDA 8.0.46
Device ID #2
Type : GPU
Vendor ID : 32
Vendor : NVIDIA Corporation
Name : Quadro K1100M
Version : OpenCL 1.2 CUDA
Processor(s) : 2
Clock : 705
Memory : 499/1998 MB allocatable
OpenCL Version : OpenCL C 1.2
Driver Version : 367.57
Code: # clinfo
Number of platforms 2
Platform Name Intel Gen OCL Driver
Platform Vendor Intel
Platform Version OpenCL 1.2 beignet 1.1.1
Platform Profile FULL_PROFILE
Platform Extensions cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_byte_addressable_store cl_khr_spir cl_khr_icd
Platform Extensions function suffix Intel
Platform Name NVIDIA CUDA
Platform Vendor NVIDIA Corporation
Platform Version OpenCL 1.2 CUDA 8.0.46
Platform Profile FULL_PROFILE
Platform Extensions cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_fp64 cl_khr_byte_addressable_store cl_khr_icd cl_khr_gl_sharing cl_nv_compiler_options cl_nv_device_attribute_query cl_nv_pragma_unroll cl_nv_copy_opts cl_khr_gl_event
Platform Extensions function suffix NV
Platform Name Intel Gen OCL Driver
Number of devices 1
Device Name Intel(R) HD Graphics Haswell GT2 Mobile
Device Vendor Intel
Device Vendor ID 0x8086
Device Version OpenCL 1.2 beignet 1.1.1
Driver Version 1.1.1
Device OpenCL C Version OpenCL C 1.2 beignet 1.1.1
Device Type GPU
Device Profile FULL_PROFILE
Max compute units 20
Max clock frequency 1000MHz
Device Partition (core)
Max number of sub-devices 1
Supported partition types None, None, None
Max work item dimensions 3
Max work item sizes 512x512x512
Max work group size 512
Preferred work group size multiple 16
Preferred / native vector sizes
char 16 / 8
short 8 / 8
int 4 / 4
long 2 / 2
half 0 / 8 (n/a)
float 4 / 4
double 0 / 2 (n/a)
Half-precision Floating-point support (n/a)
Single-precision Floating-point support (core)
Denormals No
Infinity and NANs Yes
Round to nearest Yes
Round to zero No
Round to infinity No
IEEE754-2008 fused multiply-add No
Support is emulated in software No
Correctly-rounded divide and sqrt operations No
Double-precision Floating-point support (n/a)
Address bits 32, Little-Endian
Global memory size 2147483648 (2GiB)
Error Correction support No
Max memory allocation 1073741824 (1024MiB)
Unified memory for Host and Device Yes
Minimum alignment for any data type 128 bytes
Alignment of base address 1024 bits (128 bytes)
Global Memory cache type Read/Write
Global Memory cache size 8192
Global Memory cache line 64 bytes
Image support Yes
Max number of samplers per kernel 16
Max size for 1D images from buffer 65536 pixels
Max 1D or 2D image array size 2048 images
Max 2D image size 8192x8192 pixels
Max 3D image size 8192x8192x2048 pixels
Max number of read image args 128
Max number of write image args 8
Local memory type Global
Local memory size 65536 (64KiB)
Max constant buffer size 134217728 (128MiB)
Max number of constant args 8
Max size of kernel argument 1024
Queue properties
Out-of-order execution No
Profiling Yes
Prefer user sync for interop Yes
Profiling timer resolution 80ns
Execution capabilities
Run OpenCL kernels Yes
Run native kernels Yes
SPIR versions <printDeviceInfo:138: get SPIR versions size : error -30>
printf() buffer size 1048576 (1024KiB)
Built-in kernels __cl_copy_region_align4;__cl_copy_region_align16;__cl_cpy_region_unalign_same_offset;__cl_copy_region_unalign_dst_offset;__cl_copy_region_unalign_src_offset;__cl_copy_buffer_rect;__cl_copy_image_1d_to_1d;__cl_copy_image_2d_to_2d;__cl_copy_image_3d_to_2d;__cl_copy_image_2d_to_3d;__cl_copy_image_3d_to_3d;__cl_copy_image_2d_to_buffer;__cl_copy_image_3d_to_buffer;__cl_copy_buffer_to_image_2d;__cl_copy_buffer_to_image_3d;__cl_fill_region_unalign;__cl_fill_region_align2;__cl_fill_region_align4;__cl_fill_region_align8_2;__cl_fill_region_align8_4;__cl_fill_region_align8_8;__cl_fill_region_align8_16;__cl_fill_region_align128;__cl_fill_image_1d;__cl_fill_image_1d_array;__cl_fill_image_2d;__cl_fill_image_2d_array;__cl_fill_image_3d;
Device Available Yes
Compiler Available Yes
Linker Available Yes
Device Extensions cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_byte_addressable_store cl_khr_spir cl_khr_icd
Platform Name NVIDIA CUDA
Number of devices 1
Device Name Quadro K1100M
Device Vendor NVIDIA Corporation
Device Vendor ID 0x10de
Device Version OpenCL 1.2 CUDA
Driver Version 367.57
Device OpenCL C Version OpenCL C 1.2
Device Type GPU
Device Profile FULL_PROFILE
Device Topology (NV) PCI-E, 01:00.0
Max compute units 2
Max clock frequency 705MHz
Compute Capability (NV) 3.0
Device Partition (core)
Max number of sub-devices 1
Supported partition types None
Max work item dimensions 3
Max work item sizes 1024x1024x64
Max work group size 1024
Preferred work group size multiple 32
Warp size (NV) 32
Preferred / native vector sizes
char 1 / 1
short 1 / 1
int 1 / 1
long 1 / 1
half 0 / 0 (n/a)
float 1 / 1
double 1 / 1 (cl_khr_fp64)
Half-precision Floating-point support (n/a)
Single-precision Floating-point support (core)
Denormals Yes
Infinity and NANs Yes
Round to nearest Yes
Round to zero Yes
Round to infinity Yes
IEEE754-2008 fused multiply-add Yes
Support is emulated in software No
Correctly-rounded divide and sqrt operations Yes
Double-precision Floating-point support (cl_khr_fp64)
Denormals Yes
Infinity and NANs Yes
Round to nearest Yes
Round to zero Yes
Round to infinity Yes
IEEE754-2008 fused multiply-add Yes
Support is emulated in software No
Correctly-rounded divide and sqrt operations No
Address bits 64, Little-Endian
Global memory size 2095251456 (1.951GiB)
Error Correction support No
Max memory allocation 523812864 (499.5MiB)
Unified memory for Host and Device No
Integrated memory (NV) No
Minimum alignment for any data type 128 bytes
Alignment of base address 4096 bits (512 bytes)
Global Memory cache type Read/Write
Global Memory cache size 32768
Global Memory cache line 128 bytes
Image support Yes
Max number of samplers per kernel 32
Max size for 1D images from buffer 134217728 pixels
Max 1D or 2D image array size 2048 images
Max 2D image size 16384x16384 pixels
Max 3D image size 4096x4096x4096 pixels
Max number of read image args 256
Max number of write image args 16
Local memory type Local
Local memory size 49152 (48KiB)
Registers per block (NV) 65536
Max constant buffer size 65536 (64KiB)
Max number of constant args 9
Max size of kernel argument 4352 (4.25KiB)
Queue properties
Out-of-order execution Yes
Profiling Yes
Prefer user sync for interop No
Profiling timer resolution 1000ns
Execution capabilities
Run OpenCL kernels Yes
Run native kernels No
Kernel execution timeout (NV) No
Concurrent copy and kernel execution (NV) Yes
Number of async copy engines 1
printf() buffer size 1048576 (1024KiB)
Built-in kernels
Device Available Yes
Compiler Available Yes
Linker Available Yes
Device Extensions cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_fp64 cl_khr_byte_addressable_store cl_khr_icd cl_khr_gl_sharing cl_nv_compiler_options cl_nv_device_attribute_query cl_nv_pragma_unroll cl_nv_copy_opts cl_khr_gl_event
NULL platform behavior
clGetPlatformInfo(NULL, CL_PLATFORM_NAME, ...) No platform
clGetDeviceIDs(NULL, CL_DEVICE_TYPE_ALL, ...) No platform
clCreateContext(NULL, ...) [default] No platform
clCreateContext(NULL, ...) [other] Success [Intel]
clCreateContextFromType(NULL, CL_DEVICE_TYPE_CPU) No platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_GPU) No platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_ACCELERATOR) No platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_CUSTOM) No platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_ALL) No platform
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Threads: 230
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I've pushed a new version to github which hopefully informs the use user about beignet problematic. Could you please test if the warning message shows up for you? I've also added a new precompiled beta to https://hashcat.net/beta/
In case you want to ignore the beignet device you can either use the -d or the --opencl-platforms option
Posts: 4
Threads: 1
Joined: Nov 2016
(11-29-2016, 02:05 PM)atom Wrote: I've pushed a new version to github which hopefully informs the use user about beignet problematic. Could you please test if the warning message shows up for you? I've also added a new precompiled beta to https://hashcat.net/beta/
In case you want to ignore the beignet device you can either use the -d or the --opencl-platforms option
This is what I get:
Code: hashcat (v3.10-1617-g72d0b27) starting...
* Device #1: Intel beignet driver detected!
The beignet driver has been marked as half-baked and likely to fail kernel compilation
You can use --force to override this but do not post error reports if you do so
Started: Tue Nov 29 09:54:28 2016
Stopped: Tue Nov 29 09:54:28 2016
Also, I had tried the -d option before posting and, so far as I could tell, even when I skipped the Intel card, it still tried to compile against beignet. However --opencl-platforms=2 did the trick. CUDA cracking is working for me now.
Thanks for your help.
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