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Trouble with maskprocessor piping

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Hello! First time on here so be gentle! I am trying to test my understanding of hashcat by trying all combinations of Lalphanumeric strings of length 10, where there can only be at least 8 of the same letter/number in the total hash and at least 2 consecutive letters/numbers for a SHA256 hash. I created a mask file, which I named mask_file.hcmask. In it contains the following - 
Quote:?1?1?1?1?1?1?1?1?1?1
This is for the constraint I'd like which is length of 10.
I stored my hash in a file called hashin.txt and then tried this following command in my command line (Windows) -
Quote:mp64.exe -r 8 -q 2 -1 ?l?d mask_file.hcmask | cudaHashcat64.exe -m 1400 -a 3 -o hashout.txt hashin.txt
This was the output - 
Quote:C:\Users\[MY NAME]\Desktop\cudaHashcat-2.01>mp64.exe -r 8 -q 2 -1 ?l?d mask_file.hcma
sk | cudaHashcat64.exe -m 1400 -a 3 -o hashout.txt hashin.txt
cudaHashcat v2.01 starting...

Device #1: GeForce GTX 970M, 3072MB, 1038Mhz, 10MCU
Device #1: WARNING! Kernel exec timeout is not disabled, it might cause you erro
rs of code 702
           You can disable it with a regpatch, see here: http://hashcat.net/wiki
/doku.php?id=timeout_patch

Hashes: 1 hashes; 1 unique digests, 1 unique salts
Bitmaps: 16 bits, 65536 entries, 0x0000ffff mask, 262144 bytes, 5/13 rotates
Applicable Optimizers:
* Zero-Byte
* Precompute-Init
* Precompute-Merkle-Demgard
* Early-Skip
* Not-Salted
* Not-Iterated
* Single-Hash
* Single-Salt
* Brute-Force
* Scalar-Mode
* Raw-Hash
Watchdog: Temperature abort trigger set to 90c
Watchdog: Temperature retain trigger set to 80c
Device #1: Kernel ./kernels/4318/m01400_a3.sm_52.64.cubin
Device #1: Kernel ./kernels/4318/markov_be_v1.sm_52.64.cubin


ATTENTION!
  The wordlist or mask you are using is too small.
  Therefore, oclHashcat is unable to utilize the full parallelization power of y
our GPU(s).
  The cracking speed will drop.
  Workaround: https://hashcat.net/wiki/doku.php?id=fre...estions#ho
w_to_create_more_work_for_full_speed


INFO: approaching final keyspace, workload adjusted


Session.Name...: cudaHashcat
Status.........: Running
Input.Mode.....: Mask (?1) [1]
Hash.Target....: [The hash]...
Hash.Type......: SHA256
Time.Started...: 0 secs
Time.Estimated.: 0 secs
Speed.GPU.#1...:        0 H/s
Recovered......: 0/1 (0.00%) Digests, 0/1 (0.00%) Salts
Progress.......: 62/62 (100.00%)
Rejected.......: 0/62 (0.00%)
HWMon.GPU.#1...: 18% Util, 41c Temp, N/A Fan


ATTENTION!
  The wordlist or mask you are using is too small.
  Therefore, oclHashcat is unable to utilize the full parallelization power of y
our GPU(s).
  The cracking speed will drop.
  Workaround: https://hashcat.net/wiki/doku.php?id=fre...estions#ho
w_to_create_more_work_for_full_speed


INFO: approaching final keyspace, workload adjusted


Session.Name...: cudaHashcat
Status.........: Running
Input.Mode.....: Mask (?1?2) [2]
Hash.Target....: [The hash]...
Hash.Type......: SHA256
Time.Started...: 0 secs
Time.Estimated.: 0 secs
Speed.GPU.#1...:    18106 H/s
Recovered......: 0/1 (0.00%) Digests, 0/1 (0.00%) Salts
Progress.......: 2232/2232 (100.00%)
Rejected.......: 0/2232 (0.00%)
HWMon.GPU.#1...:  2% Util, 41c Temp, N/A Fan


ATTENTION!
  The wordlist or mask you are using is too small.
  Therefore, oclHashcat is unable to utilize the full parallelization power of y
our GPU(s).
  The cracking speed will drop.
  Workaround: https://hashcat.net/wiki/doku.php?id=fre...estions#ho
w_to_create_more_work_for_full_speed


INFO: approaching final keyspace, workload adjusted


Session.Name...: cudaHashcat
Status.........: Running
Input.Mode.....: Mask (?1?2?2) [3]
Hash.Target....: [The hash]...
Hash.Type......: SHA256
Time.Started...: 0 secs
Time.Estimated.: 0 secs
Speed.GPU.#1...:   673.2 kH/s
Recovered......: 0/1 (0.00%) Digests, 0/1 (0.00%) Salts
Progress.......: 80352/80352 (100.00%)
Rejected.......: 0/80352 (0.00%)
HWMon.GPU.#1...:  2% Util, 41c Temp, N/A Fan


ATTENTION!
  The wordlist or mask you are using is too small.
  Therefore, oclHashcat is unable to utilize the full parallelization power of y
our GPU(s).
  The cracking speed will drop.
  Workaround: https://hashcat.net/wiki/doku.php?id=fre...estions#ho
w_to_create_more_work_for_full_speed


INFO: approaching final keyspace, workload adjusted


Session.Name...: cudaHashcat
Status.........: Running
Input.Mode.....: Mask (?1?2?2?2) [4]
Hash.Target....: [The hash]...
Hash.Type......: SHA256
Time.Started...: 0 secs
Time.Estimated.: 0 secs
Speed.GPU.#1...: 23627.1 kH/s
Recovered......: 0/1 (0.00%) Digests, 0/1 (0.00%) Salts
Progress.......: 2892672/2892672 (100.00%)
Rejected.......: 0/2892672 (0.00%)
HWMon.GPU.#1...:  2% Util, 41c Temp, N/A Fan


INFO: approaching final keyspace, workload adjusted


Session.Name...: cudaHashcat
Status.........: Running
Input.Mode.....: Mask (?1?2?2?2?2) [5]
Hash.Target....: [The hash]...
Hash.Type......: SHA256
Time.Started...: 0 secs
Time.Estimated.: 0 secs
Speed.GPU.#1...:   357.2 MH/s
Recovered......: 0/1 (0.00%) Digests, 0/1 (0.00%) Salts
Progress.......: 104136192/104136192 (100.00%)
Rejected.......: 0/104136192 (0.00%)
HWMon.GPU.#1...: 24% Util, 44c Temp, N/A Fan


INFO: approaching final keyspace, workload adjusted


Session.Name...: cudaHashcat
Status.........: Running
Input.Mode.....: Mask (?1?2?2?2?2?2) [6]
Hash.Target....: [The hash]...
Hash.Type......: SHA256
Time.Started...: Tue Mar 01 18:06:32 2016 (14 secs)
Time.Estimated.: 0 secs
Speed.GPU.#1...: 47931.4 kH/s
Recovered......: 0/1 (0.00%) Digests, 0/1 (0.00%) Salts
Progress.......: 3748902912/3748902912 (100.00%)
Rejected.......: 0/3748902912 (0.00%)
HWMon.GPU.#1...: 96% Util, 46c Temp, N/A Fan

[s]tatus [p]ause [r]esume [b]ypass [q]uit =>
It just "freezes" at the end. I let it go for about 10 minutes and no updates were given. I was also not able to hit "S" for the status, so I just exited out of my command line. Another thing I noticed was that it said the mask I was using was too small so I added 5 "?1"s to my mask file (to test strings of length 15), and it did the same thing. Any help would be greatly appreciated. Thank you!

Just a small bench of OSX 10.8+ hash

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Running my new GTX980 Ti against a OSX 10.8+ hash.

Speed is quite good?? Isn't it? Smile

Session.Name...: all
Status.........: Running
Input.Mode.....: File (D:\CRACKING\WORDLISTS\PRIVATE\crashie_2016.txt)
Hash.Target....: $ml$29498$008cf8f9dac33f269fa24e04ab4156f...
Hash.Type......: OSX v10.8+
Time.Started...: Wed Mar 02 08:16:08 2016 (4 mins, 47 secs)
Time.Estimated.: Wed Mar 02 08:57:12 2016 (36 mins, 14 secs)
Speed.GPU.#1...:     8996 H/s
Recovered......: 0/1 (0.00%) Digests, 0/1 (0.00%) Salts
Progress.......: 2568192/19963457 (12.86%)
Rejected.......: 0/2568192 (0.00%)
Restore.Point..: 2568192/19963457 (12.86%)
HWMon.GPU.#1...: 100% Util, 69c Temp, 3507rpm Fan

Hashcat with bcrypt

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I have the following hash 
$2a$08$T.139a***ULKFZQTDw0rGuxXXXXXe1PXX3XX1Ds4YSDSc****q6KC
which I understand is  bcrypt with salt (perhaps I'm wrong about the salt, 100% it's bcrypt) 
 
And I wonder how hashcat manage these hashes. I'm running -m 3200 -a 0 (hash file) (dic file) (outfile) 
is that just it and the salt (if any) is handled automatically? 

Also, I have the entire database in CVS file, is there an option to use hashcat on the file and just add entery with the cracked password for each username?

How to brute md5( sha1( $password ) . md5( $password ) . sha1( $password ) ) ?

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I can't understand how configure olchashcat for this hash type

md5( sha1( $password ) . md5( $password ) . sha1( $password ) )

WPA2 key testing

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Hi,

I want to check that I'm doing WPA2 properly and see how long it'll take so I've captured my own WIFI handshake, obviously I know the password - AVBXVRWA.

I want to work out how long it should roughly take, how do I work out exactly how many iterations hashcat will go through to get there.

I know that total combinations are 28^8, but how do I do it for that specific password?

Assuming I use the mask ?u?u?u?u?u?u?u?u


Thanks in advance.

2 Servers, 1 at 50% hash rate

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Hey folks,

I have 2 servers running oclHashCat, both are identical and I thought I set them up identically. When I run oclhashcat in benchmark mode both machines seem to see both devices (each server has 2 x R9 270x's), but one only hashes at half the rate, as if only one card is actually being utilized:

Code:
box1 $ ~/oclHashcat-2.01/oclHashcat64.bin -b -m 1800
oclHashcat v2.01 starting in benchmark-mode...

Device #1: Pitcairn, 1983MB, 1150Mhz, 20MCU
Device #2: Pitcairn, 1975MB, 1150Mhz, 20MCU

Hashtype: sha512crypt, SHA512(Unix)
Workload: 1024 loops, 8 accel

Speed.GPU.#1.:    18075 H/s
Speed.GPU.#2.:    18018 H/s
Speed.GPU.#*.:    36093 H/s

box2 $ ~/oclHashcat-2.01/oclHashcat64.bin -b -m 1800
oclHashcat v2.01 starting in benchmark-mode...

Device #1: Pitcairn, 1869MB, 1150Mhz, 20MCU
Device #2: Pitcairn, 1870MB, 1150Mhz, 20MCU

Hashtype: sha512crypt, SHA512(Unix)
Workload: 1024 loops, 8 accel

Speed.GPU.#1.:    35167 H/s
Speed.GPU.#2.:    35174 H/s
Speed.GPU.#*.:    70341 H/s

Any thoughts on how to investigate why box1 is hashing so much slower then box2? I thought I installed them both identically, pretty much to the letter of the linux server howto: https://hashcat.net/wiki/doku.php?id=linux_server_howto

Many thanks, let me know what other info I might provide.

need help using distributed cracking

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Hello to you all..



I am trying to do cracking on multiple devices "Distributed cracking" ..

My question is : how to do that exactly?

is there any tool that can help me with this?

or do i have to write my own?



if latar is the case.. how do i divide the load on the devices.. what i mean by that

if there was for ex : 1000 password combination, how do i divide it on multiple devices?

for ex: device1 (1-500) , device2 (501-1000)



any help is appretiated.. and sorry for my lack on knowledge.



Regards..

clEnqueueWriteBuffer() -4 error when using more than 2 rule files

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When using  oclhashcat I get this "clEnqueueWriteBuffer() -4" error when I use more than two rule files in the same command.

With 2 rules everything is ok. With 3 rule files, I get this error.

The rule files only have short rules with maximum 4 arguments for each line?

Any idea or solution??

thank you

tibit

Performance increasing relative to variation

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When I run the following:
Code:
cudaHashcat64.exe -w 3 -a 3 hash.hash mask.hcmask
where mask.hcmask reads as:
Code:
56789,0.9?1?d?d?d?d?d?d?d?d?d?d?d?d56dbXXXXbababXXXXbe8d6XX
I get only about 131 MH/s

However when I change mask.hcmask to:
Code:
0.?d?d?d?d?d?d?d?d?d?d?d?d?d?d56dbXXXXbababXXXXbe8d6XX
I get 1150 MH/s

In the first one, there can be only choices from 0.9ydddddddddddd* where y = any numbers 5-9 and d = any numbers 0-9.  In the second one, there can only be choices from 0.dddddddddddddd* where d = any numbers 0-9.  In the first example there is less variety but my performance is severely hindered.  In the second example there is more variety but I get more MH/s.  The first one does take less time to perform but not by much because my performance becomes atrocious.

Also, when I run cudaExample0.cmd, I get 426 MH/s

Note: The 56db* string is not my hash, it's a standard string that needs to be included at the end before hashing

Why does my performance vary like this? Am I doing something wrong? Is there a way to ensure that I get as high performance as I did in my second mask?

GPU: GTX 650 Ti Boost
CPU: i3 4160

any guide installing cuda/nvidia on linux?

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i have try to search on the wiki page http://hashcat.net/wiki/ and all i found was for AMD cards and not nvidia cards,
is there anything out there that ppl could maybe use?

so this is what i've tried so far on ubuntu and kali (i have a gtx 770 )

apt-get update
apt-get dist-upgrade
apt-get install -y linux-headers-$(uname -r)
apt-get install nvidia-kernel-dkms

apt-get install nvidia-cuda-toolkit

when it fail
i went to http://docs.nvidia.com/cuda/cuda-getting...z42FyaSrff and download the latest cuda and installed 
with sudo dpkg -i cuda-repo-ubuntu1404_7.5-18_amd64.deb

and yet nothing worked. couldnt install it on my home pc

any help please Smile

Autocrack.sh Cygwin Path issues?

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I have my own modded old batchcrack but I have the same issues with passing paths to and from cygwin... trying to figure out how https://hashcat.net/tools/experiments/au...ck-plus.pl works and use it :

Cygwin (win7)

any-path I put in the wordlist . Only thing that works is /cygdrive/d/Dictionaries/rockyou.txt but when its passed to older autocrack.sh it says it does not exist and the new one just says the following even with quiet removed 


Code:
$ perl autocrack-plus.pl  1000

[*] Scanning dictionary mask: /cygdrive/d/Dictionaries/*.txt
[*]Adding dictionary: /cygdrive/d/Dictionaries/1337_speak.txt
[*]Adding dictionary: /cygdrive/d/Dictionaries/rockyou.txt

[*]Starting main loop
[*]Stopping main loop


Code:
$ perl autocrack-plus.pl  1000

[*]Scanning dictionary mask: d:\Dictionaries\*.txt



No dictionaries found, giving up...


$ dir  "d:\\Dictionaries\\rockyou.txt"
d:\\Dictionaries\\rockyou.txt

$ ls /cygdrive/d/Dictionaries/rockyou.txt
/cygdrive/d/Dictionaries/rockyou.txt

$ dir "d:\Dictionaries"
1337_speak.txt       InsidePro.dic     theargonlistver1_clean.lst
18_in_1.lst          PasswordsPro.dic  Xploitz_clean.lst
InsidePro(Mini).dic  rockyou.txt

$ ls /cygdrive/d/Dictionaries/rockyou.txt
/cygdrive/d/Dictionaries/rockyou.txt



The workaround I use for my old script is a improper hack but it sorts the wordlist :

Code:
##
## wordlist attacks
##

WORDLIST_PATH="D:\Dictionaries"

if [ $WORDLIST -eq 1 ]
then
for i in `ls --sort=size -r "$WORDLIST_PATH"`
do
run -a 0 "$WORDLIST_PATH"\/$i
done

fi

cudahashcat is hanging

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Hey guys, when I run cudaHashcat it sometimes hangs during initialization of kernel:

Code:
cudaHashcat v2.01 starting...

Device #1: GeForce GTX 970, 4096MB, 1316Mhz, 13MCU
Device #2: GeForce GTX 970, 4096MB, 1316Mhz, 13MCU
Device #3: GeForce GTX 970, 4096MB, 1316Mhz, 13MCU
Device #4: GeForce GTX 970, 4096MB, 1316Mhz, 13MCU
Device #5: GeForce GTX 970, 4096MB, 1316Mhz, 13MCU

Hashes: 1116984 hashes; 1116984 unique digests, 1 unique salts
Bitmaps: 17 bits, 131072 entries, 0x0001ffff mask, 524288 bytes, 5/13 rotates
Rules: 32
Applicable Optimizers:
* Zero-Byte
* Precompute-Init
* Precompute-Merkle-Demgard
* Meet-In-The-Middle
* Early-Skip
* Not-Salted
* Not-Iterated
* Single-Salt
* Scalar-Mode
* Raw-Hash
Watchdog: Temperature abort trigger set to 90c
Watchdog: Temperature retain trigger set to 80c
Device #1: Kernel c:\Password\tools\cudaHashcat/kernels/4318/m00000_a0.sm_52.64.cubin


There is one process cudaHashcat64.exe sitting in background, eating up to 1GB of memory and doing something in the background as I see CPU utilisation at ~32%. The process itself is unkillable. I have to restart whole system (actually power it off and on again) to be able to use it again.

Usually I am using RDP to access this system. I've also read some posts here suggesting to use other method so I switched to VNC and then to KVM (connected to Intel gfx, see below) - same result.

This happens on random occasions. I can't find any pattern. Do you have any idea what could it be? A bug? Faulty nVidia card?

My setup is:
  • Procesor Intel Core i3-3220
  • Windows 2008 R2 64bit (fully patched)
  • Intel HD 2500 (integrated)
  • 5x EVGA GeForce GTX970 4096MB 256bit SC GAMING ACX 2.0 (running with latest nvidia drivers, updated today)
  • mobo: ASRock H61-PRO BTC

Java off-crypto tool

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I'm working on the tool mentioned in the header for a college project and am looking for help finishing it. I'm at a point where I think it should run and return a successful message but it keeps failing. I can go through the details of it if needed to explain but I'm hoping to find someone that knows the ins and out MS off-crypto well. 

Code:
crappy java code

I have more classes obviously but this is the most relevant. Would anyone here know of a reason from this why its not returning the desired array.

Table Benchmarks GTX 970, R9 390x, R9 380 and...

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Is there an actual table of comparison between models Benchmarks:

GTX 970, R9 390x, R9 380x, R9 380, GTX 960?

Mask generator not working?

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Hello! I am in a situation where I know the exact pass length (64), the exact number of the most recurring character occurrences (8), and the exact number of the most consecutive characters in a row(3). I used the following maskprocessor command first - 
Quote:mp64.exe -r 8 -q 3 mask_file.hcmask | cudaHashcat64.exe -m 1400 -a 0 -o hashout.txt hash.txt
. My mask file contained this: 
Quote:?l?d, ?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1?1
. The result was a quick termination with all the stats being zeroed out. I thought it was maybe something to do with the hashcat.hcstat file so I tried using another one that I made earlier and it kept outputting 
Quote:WARNING: Hashfile 'custom.hcstat' in line 1 (): Line-length exception
for as many words I used in the wordlist to create the hcstat file. I'm not really sure what I'm doing wrong, so if anyone can give some insight, it would be extremely helpful. Thanks!

Need help to decrypt my harddisk

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Hello folks,

first i want to apologize to any reader of this topic: english is not my native language and these are my first steps into  hashcat.

Here is my problem:
I have an additional truecrypt 7.1 hidden partition (harddrive) in my computer (windows 7 with an amd 290x gpu). During a boring day i cleaned up this partition and in the end i changed my password to decrypt it, too. a stupid idea: I had not noted down the new password. But due to a personal quirk, I have a pretty good idea of how it should be structured.

I started with with 8 small and large letters/numbers (lets call them A) and over the years i added always a special character (i.e. !"#$%&'()*+,... and lets name them B) and another 8 "normal" letters.  So i remember the first 35 digits. And i am quite sure that i repeated the same procedure again. But i can't remember which new characters I added (lets call them Y for the special ones and X for normal letters/numbers). so the password should look like this:

AAAAAAAABAAAAAAAABAAAAAAAABAAAAAAAAYXXXXXXXX

I have 3-4 combinations for the XXXXXXXX-Part, which have a high probability, because I used them as short passwords somewhere else.

I installed oclhashcat, hashcatgui and dd-0.6beta3, but I didn't managed to recive my hash from the hidden truecrypt partition. The command in the wiki did not work out (dd if=hashcat_ripemd160_AES_hidden.raw of=hashcat_ripemd160_AES_hidden.tc bs=1 skip=65536 count=512). I think that works just with the truecrypt containers ?! And I have to admit, that I don´t know which kind of encryption I used so many years ago (is it possible to distinguish between an AES and AES-Twofish-Serpent ? and if not, does it matter ?)


1. Can somebody show me how to get this hash from this hidden harddrive or point me to the right wiki-page ?
2. Afterwards i would start a mask-attack .. can i combine this one with the "Wordlist attack" ?


Thanks for your help in advance and I would also treat a crate of beer for a successful help to run the program.

Benchmark compare algorithms

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Hi everyone,

This might be a less intellegent question, in that case I am sorry Wink

I would like to know how the benchmarking option can be used to compare the algorithms
or if there is an other option to compare different algorithms?

Yes ofcourse I can see a lot of hash guesses per second and this depends on the algorithm. But this also depends on the iterations used with the algorithm if I am not mistaken. Algorithms using user defined iterations are for example bcrypt, scrypt and PBKDF2.
So I am curious which iterations values are used for the benchmark

Thank you for reading this and I hope someone can help me and clear this up

What's wrong?

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Hello, I just installed hashcat I tried to start it, made everything what tutorial said, but the problem is, that it puts no information back to "cracked" folder after it runs. What could be wrong?

Also sorry, I know, I am noob at this, so don't judge me, but I really need your help Smile

OpenSuSE 13.2 clGetDeviceIDs() -1

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Hi.
I can't get oclHashcat to work.


Code:
# oclHashcat -b
oclHashcat v2.01 starting in benchmark-mode...
ERROR: clGetDeviceIDs() -1

Code:
# clinfo
 Number of platforms:                             1
 Platform Profile:                              FULL_PROFILE
 Platform Version:                              OpenCL 2.0 AMD-APP (1912.5)
 Platform Name:                                 AMD Accelerated Parallel Processing
 Platform Vendor:                               Advanced Micro Devices, Inc.
 Platform Extensions:                           cl_khr_icd cl_amd_event_callback cl_amd_offline_devices


 Platform Name:                                 AMD Accelerated Parallel Processing
Number of devices:                               1
 Device Type:                                   CL_DEVICE_TYPE_CPU
 Vendor ID:                                     1002h
 Board name:                                    
 Max compute units:                             4
 Max work items dimensions:                     3
   Max work items[0]:                           1024
   Max work items[1]:                           1024
   Max work items[2]:                           1024
 Max work group size:                           1024
 Preferred vector width char:                   16
 Preferred vector width short:                  8
 Preferred vector width int:                    4
 Preferred vector width long:                   2
 Preferred vector width float:                  8
 Preferred vector width double:                 4
 Native vector width char:                      16
 Native vector width short:                     8
 Native vector width int:                       4
 Native vector width long:                      2
 Native vector width float:                     8
 Native vector width double:                    4
 Max clock frequency:                           1400Mhz
 Address bits:                                  64
 Max memory allocation:                         2147483648
 Image support:                                 Yes
 Max number of images read arguments:           128
 Max number of images write arguments:          64
 Max image 2D width:                            8192
 Max image 2D height:                           8192
 Max image 3D width:                            2048
 Max image 3D height:                           2048
 Max image 3D depth:                            2048
 Max samplers within kernel:                    16
 Max size of kernel argument:                   4096
 Alignment (bits) of base address:              1024
 Minimum alignment (bytes) for any datatype:    128
 Single precision floating point capability
   Denorms:                                     Yes
   Quiet NaNs:                                  Yes
   Round to nearest even:                       Yes
   Round to zero:                               Yes
   Round to +ve and infinity:                   Yes
   IEEE754-2008 fused multiply-add:             Yes
 Cache type:                                    Read/Write
 Cache line size:                               64
 Cache size:                                    16384
 Global memory size:                            8368263168
 Constant buffer size:                          65536
 Max number of constant args:                   8
 Local memory type:                             Global
 Local memory size:                             32768
 Max pipe arguments:                            16
 Max pipe active reservations:                  16
 Max pipe packet size:                          2147483648
 Max global variable size:                      1879048192
 Max global variable preferred total size:      1879048192
 Max read/write image args:                     64
 Max on device events:                          0
 Queue on device max size:                      0
 Max on device queues:                          0
 Queue on device preferred size:                0
 SVM capabilities:                              
   Coarse grain buffer:                         No
   Fine grain buffer:                           No
   Fine grain system:                           No
   Atomics:                                     No
 Preferred platform atomic alignment:           0
 Preferred global atomic alignment:             0
 Preferred local atomic alignment:              0
 Kernel Preferred work group size multiple:     1
 Error correction support:                      0
 Unified memory for Host and Device:            1
 Profiling timer resolution:                    1
 Device endianess:                              Little
 Available:                                     Yes
 Compiler available:                            Yes
 Execution capabilities:                                
   Execute OpenCL kernels:                      Yes
   Execute native function:                     Yes
 Queue on Host properties:                              
   Out-of-Order:                                No
   Profiling :                                  Yes
 Queue on Device properties:                            
   Out-of-Order:                                No
   Profiling :                                  No
 Platform ID:                                   0x7feb5090ba18
 Name:                                          AMD FX(tm)-4100 Quad-Core Processor
 Vendor:                                        AuthenticAMD
 Device OpenCL C version:                       OpenCL C 1.2
 Driver version:                                1912.5 (sse2,avx,fma4)
 Profile:                                       FULL_PROFILE
 Version:                                       OpenCL 1.2 AMD-APP (1912.5)
 Extensions:                                    cl_khr_fp64 cl_amd_fp64 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_int64_base_atomics cl_khr_int64_extended_atomics cl_khr_3d_image_writes cl_khr_byte_addressable_store cl_khr_gl_sharing cl_ext_device_fission cl_amd_device_attribute_query cl_amd_vec3 cl_amd_printf cl_amd_media_ops cl_amd_media_ops2 cl_amd_popcnt cl_khr_spir cl_khr_gl_event


Code:
# fglrxinfo
display: :0  screen: 0
OpenGL vendor string: Advanced Micro Devices, Inc.
OpenGL renderer string: AMD Radeon HD 6700 Series
OpenGL version string: 4.5.13416 Compatibility Profile Context 15.30.1025


Code:
# lspci | grep VGA
01:00.0 VGA compatible controller: Advanced Micro Devices, Inc. [AMD/ATI] Barts LE [Radeon HD 6790]


Code:
# uname -a
Linux Workstation 3.16.7-35-desktop #1 SMP PREEMPT Sun Feb 7 17:32:21 UTC 2016 (832c776) x86_64 x86_64 x86_64 GNU/Linux


Code:
# hwinfo --gfxcard
32: PCI 100.0: 0300 VGA compatible controller (VGA)             
  [Created at pci.328]
  Unique ID: VCu0.3r0aKFxlEZ5
  Parent ID: _Znp.mxGZ4sT7tg6
  SysFS ID: /devices/pci0000:00/0000:00:02.0/0000:01:00.0
  SysFS BusID: 0000:01:00.0
  Hardware Class: graphics card
  Model: "ATI Barts LE [AMD Radeon HD 6700 Series]"
  Vendor: pci 0x1002 "ATI Technologies Inc"
  Device: pci 0x673e "Barts LE [AMD Radeon HD 6700 Series]"
  SubVendor: pci 0x1545 "VISIONTEK"
  SubDevice: pci 0x2310 
  Driver: "fglrx_pci"
  Driver Modules: "fglrx"
  Memory Range: 0xd0000000-0xdfffffff (ro,non-prefetchable)
  Memory Range: 0xfddc0000-0xfdddffff (rw,non-prefetchable)
  I/O Ports: 0xee00-0xeeff (rw)
  Memory Range: 0xfdd00000-0xfdd1ffff (ro,non-prefetchable,disabled)
  IRQ: 43 (708611 events)
  I/O Ports: 0x3c0-0x3df (rw)
  Module Alias: "pci:v00001002d0000673Esv00001545sd00002310bc03sc00i00"
  Driver Info #0:
    Driver Status: radeon is not active
    Driver Activation Cmd: "modprobe radeon"
  Driver Info #1:
    Driver Status: fglrx is active
    Driver Activation Cmd: "modprobe fglrx"
  Config Status: cfg=no, avail=yes, need=no, active=unknown
  Attached to: #9 (PCI bridge)

Primary display adapter: #32

Code:
# rpm -qa | grep fglrx
fglrx64_xpic_SUSE132-15.300.1025-1.x86_64
fglrx64_amdcccle_SUSE132-15.300.1025-1.x86_64
fglrx64_graphics_SUSE132-15.300.1025-1.x86_64
fglrx64_opencl_SUSE132-15.300.1025-1.x86_64
fglrx64_core_SUSE132-15.300.1025-1.x86_64

Code:
#rpm -qa | grep opencl
opencl-headers-2.1_20151117-4.1.noarch
fglrx64_opencl_SUSE132-15.300.1025-1.x86_64

New GPU

$
0
0
Hi guys. I read many threads in this forum about gpu for hashcracking, but i dont know what to choose.
My budget is 500$.

I found this gpu 
[Image: res_4106eef69394d806a3c7f988cbd26634_full.jpg]

Model: MSI NVIDIA GeForce GTX 980 Twin Frozr V Gaming, 4096MB, GDDR5, 256bit, PCI-E, HDMI, 2 x DVI, DisplayPort
What you think about this GPU? Can you offer me different model ?

Thank you!
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