Errors on Win7 and Linux

[4rchimedes]

Info:
Intel(R) Core(TM) i5-2450M CPU @ 2.50GHz
Radeon HD 7650M
The-Distribution-Which-Does-Not-Handle-OpenCL-Well (Kali) Linux 2016.2
Windows 7 64
hashcat (v3.5.0)


Error on Windows:
hashcat64.exe -m 2500 -a 3 capture.hccapx ?d?d?d?d?d?d?d?d
clGetDeviceInfo(): CL_INVALID_VALUE

- opencl_runtime_16.1.1_x64_setup installed
- AMD Radeon Software Crimson Edition


Errors on The-Distribution-Which-Does-Not-Handle-OpenCL-Well (Kali):
hashcat -m 2500 -a 3 capture.hccapx ?d?d?d?d?d?d?d?d


Mesa (Gallium) OpenCL platform detected!
The Mesa platform can cause errors that are often mistaken for bugs in hashcat.
You are STRONGLY encouraged to use the drivers listed in docs/readme.txt.
You can use --force to override this, but do not report related errors.
You can also use --opencl-platforms to skip the Mesa platform(s).



hashcat -m 2500 -a 3 capture.hccapx ?d?d?d?d?d?d?d?d --opencl-platforms 1 --force

* Device #1: Kernel m02500.eb27bc22.kernel not found in cache! Building may take a while...
LLVM ERROR: Cannot select: 0x560af058a260: i32,ch = AtomicLoadAdd<Volatile LDST4[%d_return_buf(addrspace=1)]> 0x560af0168ba0, 0x560af05dd210, Constant:i32<1>
  0x560af05dd210: i32,ch = CopyFromReg 0x560af0168ba0, Register:i32 %vreg132
    0x560aefb7cda0: i32 = Register %vreg132
  0x560aefb07160: i32 = Constant<1>
In function: m02500_comp




Thanks for help.

[atom]

The GPU is too old and the drivers do not support them cleanly, hence the errors. Solution: Buy a new GPU.

[kiara]

and dont use The-Distribution-Which-Does-Not-Handle-OpenCL-Well (Kali) for hashcat.. not working well with it.

[atom]

If you want to use linux, use ubuntu

[4rchimedes]

@atom
I've seen people, which recovery passwords with oldest GPU than my on oclHashcat.... On Ubuntu my GPU will not working to? I think Your solutions is the easiest way.

[4rchimedes]

The GPU is too old and the drivers do not support them cleanly, hence the errors. Solution: Buy a new GPU.

Buy a new brain. It's working without problems with -D 1 option, when i use only GPU only. You can close thread.