07-23-2016, 06:00 AM
Hi cats,
I've been happily using pyrit for a while with my GeForce 720 (with OpenCL, faster than CUDA on pyrit), on an old PC running The-Distribution-Which-Does-Not-Handle-OpenCL-Well (Kali) Linux 2016.
I've been trying to set up hashcat to play with hybrid modes, and because I like the flexibility of hashcat in general. I keep running into a Segmentation Fault problem. I've gone through the FAQ and searched these forums and other sites for an answer with no luck. I'm not a Linux expert, but I rarely come across a problem that I can't eventually troubleshoot with Dr Google's help. This one has me stumped.
In my previous attempts I was using The-Distribution-Which-Does-Not-Handle-OpenCL-Well (Kali)'s NVIDIA packages, and their OpenCL. pyrit was seeing the GPU and getting a decent speed (for its age) out of it. The result of running any of the examples or hashcat -b was always: Segmentation fault.
I've gone as far as clean-reinstalling The-Distribution-Which-Does-Not-Handle-OpenCL-Well (Kali) and following this FAQ section to remove anything pre-installed in The-Distribution-Which-Does-Not-Handle-OpenCL-Well (Kali). I have uninstalled the packaged hashcat and downloaded directly from hashcat.net/hashcat/
Still same result. Any ideas?
If it's any use, here's the content of clinfo:
I've been happily using pyrit for a while with my GeForce 720 (with OpenCL, faster than CUDA on pyrit), on an old PC running The-Distribution-Which-Does-Not-Handle-OpenCL-Well (Kali) Linux 2016.
I've been trying to set up hashcat to play with hybrid modes, and because I like the flexibility of hashcat in general. I keep running into a Segmentation Fault problem. I've gone through the FAQ and searched these forums and other sites for an answer with no luck. I'm not a Linux expert, but I rarely come across a problem that I can't eventually troubleshoot with Dr Google's help. This one has me stumped.
In my previous attempts I was using The-Distribution-Which-Does-Not-Handle-OpenCL-Well (Kali)'s NVIDIA packages, and their OpenCL. pyrit was seeing the GPU and getting a decent speed (for its age) out of it. The result of running any of the examples or hashcat -b was always: Segmentation fault.
I've gone as far as clean-reinstalling The-Distribution-Which-Does-Not-Handle-OpenCL-Well (Kali) and following this FAQ section to remove anything pre-installed in The-Distribution-Which-Does-Not-Handle-OpenCL-Well (Kali). I have uninstalled the packaged hashcat and downloaded directly from hashcat.net/hashcat/
Still same result. Any ideas?
If it's any use, here's the content of clinfo:
Code:
root@The-Distribution-Which-Does-Not-Handle-OpenCL-Well (Kali):~/Documents/wifi/hashcat-3.00# clinfo
Number of platforms 1
Platform Name NVIDIA CUDA
Platform Vendor NVIDIA Corporation
Platform Version OpenCL 1.2 CUDA 8.0.0
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
Platform Extensions function suffix NV
Platform Name NVIDIA CUDA
Number of devices 1
Device Name GeForce GT 720
Device Vendor NVIDIA Corporation
Device Vendor ID 0x10de
Device Version OpenCL 1.2 CUDA
Driver Version 367.35
Device OpenCL C Version OpenCL C 1.2
Device Type GPU
Device Profile FULL_PROFILE
Device Topology (NV) PCI-E, 02:00.0
Max compute units 1
Max clock frequency 797MHz
Compute Capability (NV) 3.5
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 1028128768 (980.5MiB)
Error Correction support No
Max memory allocation 257032192 (245.1MiB)
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 16384
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) Yes
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
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 [NV]
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