11 x GTX 970 System

June 11, 2016, 1:57 pm

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hi all! like to know what you guys think about the following configuration.


MB-X9DRXFB = https://superbiiz.com/detail.php?name=MB-X9DRXFB
2x Xeon E5-2620V3, 2.4 GHz Six-core
11 x GeForce GTX 970 

32gb RAM kingston
2x 1500 watt power supplies and daisy chain them safely with a little module 

11x PCI-Express PCI-E 16X Risers
120g ssd kingston hyperx
ubuntu 14.04 LTS
frame would be some ALUMINUM similar to this one: 



let me know what you guys think

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list of utils / helpers

June 12, 2016, 12:05 pm

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Hello,

I've got a bunch of plains. About 1500 of them are 8 char long, mostly random and issued at account creation and not changed since. The 12000 other plains are user picked after account creation, ranging from 9 to 49 char long.

What would be the best tool(s) to derive interesting stuffs from these plains like rules/masks/statistics…? Anything that would help me optimize cracking sessions (these are not supposed to be plains, I plan to make a password audit by cracking their hash counterparts, and I've got about 24000 more hashed password from same source).

I've given PACK a try.
I've also tried Pipal and Passpal. Pipal is interesting but on the vocabulary side, it fails splitting pass phrases into dictionary words. For 10 years old dumps it's not so important, but for recent dumps it's a problem.

thanks,
pat

Question about kernel exec timeout

June 13, 2016, 7:18 pm

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Hello everybody,
I'm a new user and forum member and also a new user of gpu hashcat

I run cudaHashcat v 2.01 though bumblebeed in my linux laptop so when i launch cudahashcat i use the following command: optirun cudaHashcat64.bin etc........................................................
I followed this page https://hashcat.net/wiki/doku.php?id=timeout_patch trying to solve my kernel exec timeout but didn't work. I'm not a linux expert and i follow internet for solving problems. Any idea? Is this because I use bumblebeed? If the kernel exec timeout is disabled there is a better performance in cracking speed? I have to be worried about the warning or can i ignore it because since now the software works
Thank you

How to optimize attacking very large hashes

June 13, 2016, 11:08 pm

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Hi,

I'm trying to attack a very large hashes, few GB in size and manage to get it down now to a few hundreds MB. The problem is that it takes a long time to:

• remove recovered hashes from the hash file (i'm using --remove)
  
  
  

Example:
doing -a 3 ?a?a?a?a?a?a attack completed fast on my 2 x GTX 1080, but to get back to command prompt will take a while

• when loading, it takes a long time to compare hashes with pot file
  

Code:

Comparing hashes with potfile entries...

How can I optimize this and make it a lot faster.

Thank you.

Best regards,
Azren

Feedback on 1080

June 13, 2016, 11:45 pm

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Hi,

I would like to buy an 1080 to replace my GTX 980, and would have your feedbacks on these 3 cards :

Nvidia's website :
http://www.geforce.com/hardware/10series...e-gtx-1080
2560 cores - 1607 Mhz (base) - 1733 Mhz (boost)
-> reference design


MSI GeForce GTX 1080 Founders Edition
http://www.newegg.com/Product/Product.as...6814127940
2560 cores - 1607 Mhz (base) - 1733 Mhz (boost)
=> This card looks like the Nvidia one, isn't it ?! What's the differences ?


MSI 1080 Gaming version
http://www.newegg.com/Product/Product.as...6814127943
2560 cores - 1607 Mhz (base) - 1847 MHz (boost)

The last one is more boosted than Nvidia's one. It should crack faster ?

Last thing, price : more than $800-$900 in Europe. Does it worth this - high - price?

Thanks for your feedbacks.

SHA256($pass.$salt) with long hash

June 14, 2016, 2:25 am

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Is it possible to crack a password where the salt is as long as the hash? For SHA256 this would mean having a 32 bit salt.

I realize this means that SHA256 needs to run two rounds as the input data (pass+salt) is longer than one block.

Currently I'm getting a line exception when i try to use 1400 (with hybrid + mask) or 1410 (sha256($pass.$salt)).

Error Explanation

June 16, 2016, 4:23 pm

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Hello. I'm using hashcat 3.00 beta. When I use the following command, 

"hashcat -m 2500 -a 3 C:\Users\Zakshc\Documents\capture.hccap ?d?d?d?d?d?d?d?d?d?d"

I get the following error,

"Initializing device kernels and memory...
ERROR: clCreateContext() : -2 : CL_UNKNOWN_ERROR"

Would someone mind explaining what this error means and how I can fix it?

Thanks,
H

Crashing

June 17, 2016, 3:49 pm

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Im using cuda 2.01 on windows with a 980ti zotac extreme with 16g of ddr4 and an i7 5820k.  I ran "cudahashcat64.exe -b" and it runs for a few seconds and gives its output and then my screen goes blank 4 seconds later (my 2 monitors are running off the same card).

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Virtualization for the win

June 18, 2016, 7:00 am

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Hi! I haven't seen much about using VM for GPU workloads, and I haven't seen anything on this forum. So, I though I would write a bit about it here, because I think it's great.

Summary
It works. No performance penalty found, yet.
TL;DR version at the bottom.

About me
I work pretty much every day with designing/installing/maintaining small to almost-enterprise size VMware virtualization systems, using almost exclusively HPE hardware. It's not ALL I do, but it's a major part of my work.
My posts here are my own and are not endorsed, or even known, by my employer, HPE or VMware.

Why virtualize?
(Warning, some VMware marketspeek included)
Virtualization, generally, provides the following benefits:

• Flexibility
  

Virtual guest can be moved around to different hardware and physical locations without downtime
Resources can be assigned from a pool, rather than beeing a fixed size decided at instalation time

• Agility
  

Resources can be quickly changed; CPU/memory can be hot added
Network redesign can be done without affecting the guests
VM can be deployed "instantly", without having to order new hardware

• Availability
  

In case of a host (hardware) failure, guest can be automatically restarted on other hosts
Much reduced hardware in the guests reduces the amount of drivers that can cause problems

In this case, using ESX to host guest running oclHashcat, the following benefits are also realized:

• Hardware utilization
  

Using a physical box just to power GPU is a waste of space, power and CPU resources. Why not use the box for other purposes at the same time? (Like running a hashtopus installation)

• Maintenance made easy
  

It is a known issue of all (?) OS:es that AMD and nVidia drivers cause each other problems. Using virtualization, you can install separate guests for AMD and nVidia GPU, with the right drivers in each without conflicts. Or why not have one guest per GPU?
OS, driver and hashcat updates may cause problems or performance issues. Resolution: power down guest, snapshot, power up and perform update(s), test. If issues occur, revert snapshot. In case of a multi-GPU box, do this for one VM with one GPU. When the update procedure is finalized, repeat it on the other guests; downtime is greatly reduced.

• Different versions
  

Different versions of hashcat may perform better or not at all with some GPU. Install as many guests as you need, with different versions that fits your need. Move the GPU around to the guest that best fits the situation. Run different versions for different GPU, all in the same box.

Why NOT virtualize?
The oldschool way of thinking is that "if you need performance, you need dedicated hardware". This is not true anymore; first, hypervisors have matured and does not cause much overhead. Second, most overhead from virtualization is on the CPU part. CPU today are hardly ever bottlenecks - and if they are, you can add more cores. The only instance you may actually require dedicated hardware is if your application needs very very high single-thread performance. Well that and if your idiot vendor says virtualization is unsupported...

A real reason not to virtualize is increased complexity. Yes, virtualization makes the system more complex, it adds another layer of "stuff" that you need to plan, maintain and troubleshoot. If you are unwilling to learn something new, buy hardware.

Design
The goal here is to install a vShere host with one or more GPU. These GPU are then assigned to VM using PCI passthrough. The operating system is ESXi; it is available for free from vmware.com. You need to register and checkout a license, or it will not power on guests after 60 days. The free license is limited to 8 vCPU/guest and cannot be connected to VMware vCenter (=> no cluster).
ESXi only supports/contains drivers for a subset of hardware. It can be installed on consumer hardware if the hardware is built from supported chips; unsupported hardware may also work with community drivers. Pretty much all ready-made servers today supports ESXi; but a lot of servers to not support high-power GPU, or they have insufficient room for large GPU coolers, or they do not have (enough) PCI-e power.
There are a lot of options for hardware, you need to research a bit to find something that works. I use an HPE Ml350p Gen8: it can fit two 2-slot GPU/CPU but you need a special power cable for PCI-e power. Fortunatelly, the power socket was compatible with Corsair modular PSU power cables.


Preparation
Download ESXi. If you have a HPE/Dell server, download the custom ISO or you may not have the drivers you need. You can add drivers to the installtion CD but you cannot add drivers on the fly during the installation.
Fit the GPU and make sure it has enough power.
When you (later) add the GPU to your VM, it will reserve 100% RAM that you configured to your VM. If you need 4 gig RAM/VM and 8 VM, you need at least 4gig x 8 + (overhead + ESXi) RAM ~= 34gig ram. You are not constrained to whole GB here, you may assign 3750MB RAM instead, if you want to.
(Optional:
I recommend setting the VM advanced option "mem.ShareForceSalting" to 0, this enables me to overallocate RAM better (it enables RAM dedup between guests). It won't make a difference on guest with passthrough, though.
Since these VM will be in an isolated environment (I hope), I would turn off ASLR to increase guest RAM dedup.
Overallocating CPU is OK, but will notice increased latency for certain applications. Web server generally do not perform well on overallocated CPU - you may apply this fix to the VM if you think you need it: http://kb.vmware.com/kb/1018276. But consider the fact that you will be burning away some CPU that may be used for other VM instead. Also, those idle loops are counted towards the guest resources shares - you may end up with using half your CPU for nothing and not be eligible for CPU when you need it. SQL servers are not bothered by CPU latency; performance decreases with less CPU available, but it will use those CPU cycles effectively.
If you REALLY want to reserve an entire core (or several) for your guest, change CPU reserve to 100% and set the advanced option "monitor_control.halt_desched" to false. Your VM will now never be required to share it's core. Also, if you have hyperthreading active (you should), you may ensure that the other thread is not used by setting Hyperthreaded core sharing: none. This ensures that your VM will have 100% of the core cache and CPU time.
)

Installation
Install ESXi.
Connect to ESXi using a web browser and download vSphere Client (the client is version specific and the link is to and Internet URL).
Configure time and date. This is important: when a guest is restarted or a snapshot reverted, the guest time is set to whatever ESXi has. Is is a reoccuring problem that this step is forgotten, and VM start up with the wrong time/date.
In vSphere client, select your host, tab Configuration, option Advanced Settings. Enable PCI passthrough on your GPU. Reboot.
Install a VM to run oclHashcat. I use Ubuntu according to this guide: https://hashcat.net/wiki/doku.php?id=linux_server_howto Thus, I have a 64bit-only installation, version 14.04, with 'fglrx' drivers.
Install open-vm-tools; trust me, you want it. You will then be able to right-click "shutdown" instead of "poweroff" and you will see the IP addresses in vSphere client.
When the VM is installed and updated and works like you want it to, shut it down and edit the virtual hardware.
Add the PCI device (your GPU).
Start your MV, get oclHashcat.
Done!

Benchmarking
This is from my server, running ESXi 5.5 on an HPE ML350p Gen8, and a second-hand Radeon 6970. The host is running a total of 12 VM with total 17 vCPU, on a single 4-core Intel E5-2609 (no hyperthreading). 48gig RAM with 60gig RAM assigned to guests.

CPU usage during benchmark was average ~250MHz, or 10% of core speed. That's a lot of CPU that can be used for other things... It's hash dependant though, some hashes actually used 97% CPU.

Code:

oclHashcat v2.01 starting in benchmark-mode...

Device #1: Cayman, 2010MB, 880Mhz, 24MCU

Hashtype: MD4
Workload: 1024 loops, 256 accel

Speed.GPU.#1.: 10566.3 MH/s

Hashtype: MD5
Workload: 1024 loops, 256 accel

Speed.GPU.#1.:  5698.3 MH/s

Hashtype: Half MD5
Workload: 1024 loops, 256 accel

Speed.GPU.#1.:  3465.1 MH/s

Hashtype: SHA1
Workload: 1024 loops, 256 accel

Speed.GPU.#1.:  1895.7 MH/s

Hashtype: SHA256
Workload: 512 loops, 256 accel

Speed.GPU.#1.:   772.0 MH/s

Hashtype: SHA384
Workload: 256 loops, 256 accel

Speed.GPU.#1.:   214.7 MH/s

Hashtype: SHA512
Workload: 256 loops, 256 accel

Speed.GPU.#1.:   217.4 MH/s

Hashtype: SHA-3(Keccak)
Workload: 512 loops, 256 accel

Hashtype: SipHash
Workload: 1024 loops, 256 accel

Speed.GPU.#1.:  5490.3 MH/s

Hashtype: RipeMD160
Workload: 512 loops, 256 accel

Speed.GPU.#1.:  1209.3 MH/s

Hashtype: Whirlpool
Workload: 512 loops, 32 accel

Speed.GPU.#1.: 76044.8 kH/s

Hashtype: GOST R 34.11-94
Workload: 512 loops, 64 accel

Speed.GPU.#1.: 59761.0 kH/s

Hashtype: GOST R 34.11-2012 (Streebog) 256-bit
Workload: 512 loops, 16 accel

Speed.GPU.#1.: 11139.3 kH/s

Hashtype: GOST R 34.11-2012 (Streebog) 512-bit
Workload: 512 loops, 16 accel

Speed.GPU.#1.: 11049.8 kH/s

Hashtype: phpass, MD5(Wordpress), MD5(phpBB3), MD5(Joomla)
Workload: 1024 loops, 32 accel

Speed.GPU.#1.:  1583.9 kH/s

Hashtype: scrypt
Workload: 1 loops, 64 accel

Speed.GPU.#1.:   167.7 kH/s

Hashtype: PBKDF2-HMAC-MD5
Workload: 1000 loops, 8 accel

Speed.GPU.#1.:   467.4 kH/s

Hashtype: PBKDF2-HMAC-SHA1
Workload: 1000 loops, 8 accel

Speed.GPU.#1.:   638.0 kH/s

Hashtype: PBKDF2-HMAC-SHA256
Workload: 1000 loops, 8 accel

Speed.GPU.#1.:   324.2 kH/s

Hashtype: PBKDF2-HMAC-SHA512
Workload: 1000 loops, 8 accel

Speed.GPU.#1.:    67549 H/s

Hashtype: Skype
Workload: 1024 loops, 256 accel

Speed.GPU.#1.:  3149.5 MH/s

Hashtype: WPA/WPA2
Workload: 1024 loops, 32 accel

Speed.GPU.#1.:    95159 H/s

Hashtype: IKE-PSK MD5
Workload: 256 loops, 128 accel

Speed.GPU.#1.:   225.9 MH/s

Hashtype: IKE-PSK SHA1
Workload: 256 loops, 128 accel

Speed.GPU.#1.:   158.7 MH/s

Hashtype: NetNTLMv1-VANILLA / NetNTLMv1+ESS
Workload: 1024 loops, 256 accel

Speed.GPU.#1.:  5379.0 MH/s

Hashtype: NetNTLMv2
Workload: 512 loops, 256 accel

Speed.GPU.#1.:   262.5 MH/s

Hashtype: IPMI2 RAKP HMAC-SHA1
Workload: 512 loops, 256 accel

Speed.GPU.#1.:   350.3 MH/s

Hashtype: Kerberos 5 AS-REQ Pre-Auth etype 23
Workload: 128 loops, 32 accel

Speed.GPU.#1.: 13883.0 kH/s

Hashtype: DNSSEC (NSEC3)
Workload: 512 loops, 256 accel

Speed.GPU.#1.:   586.1 MH/s

Hashtype: PostgreSQL Challenge-Response Authentication (MD5)
Workload: 1024 loops, 256 accel

Speed.GPU.#1.:  1075.2 MH/s

Hashtype: MySQL Challenge-Response Authentication (SHA1)
Workload: 1024 loops, 256 accel

Speed.GPU.#1.:   544.2 MH/s

Hashtype: SIP digest authentication (MD5)
Workload: 1024 loops, 32 accel

Speed.GPU.#1.:   291.4 MH/s

Hashtype: SMF > v1.1
Workload: 1024 loops, 256 accel

Speed.GPU.#1.:  1607.9 MH/s

Hashtype: vBulletin < v3.8.5
Workload: 1024 loops, 256 accel

Speed.GPU.#1.:  1513.6 MH/s

Hashtype: vBulletin > v3.8.5
Workload: 512 loops, 256 accel

Speed.GPU.#1.:  1089.3 MH/s

Hashtype: IPB2+, MyBB1.2+
Workload: 512 loops, 256 accel

Speed.GPU.#1.:  1136.0 MH/s

Hashtype: WBB3, Woltlab Burning Board 3
Workload: 512 loops, 256 accel

Speed.GPU.#1.:   223.8 MH/s

Hashtype: Joomla < 2.5.18
Workload: 1024 loops, 256 accel

Speed.GPU.#1.:  5697.9 MH/s

Hashtype: PHPS
Workload: 1024 loops, 256 accel

Speed.GPU.#1.:  1513.7 MH/s

Hashtype: Drupal7
Workload: 1024 loops, 8 accel

Speed.GPU.#1.:     8962 H/s

Hashtype: osCommerce, xt:Commerce
Workload: 1024 loops, 256 accel

Speed.GPU.#1.:  3149.4 MH/s

Hashtype: PrestaShop
Workload: 1024 loops, 256 accel

Speed.GPU.#1.:  1903.2 MH/s

Hashtype: Django (SHA-1)
Workload: 1024 loops, 256 accel

Speed.GPU.#1.:  1607.9 MH/s

Hashtype: Django (PBKDF2-SHA256)
Workload: 1024 loops, 8 accel

Speed.GPU.#1.:    16607 H/s

Hashtype: Mediawiki B type
Workload: 1024 loops, 256 accel

Speed.GPU.#1.:  1467.5 MH/s

Hashtype: Redmine Project Management Web App
Workload: 1024 loops, 256 accel

Speed.GPU.#1.:   359.3 MH/s

Hashtype: PostgreSQL
Workload: 1024 loops, 256 accel

Speed.GPU.#1.:  5696.5 MH/s

Hashtype: MSSQL(2000)
Workload: 1024 loops, 256 accel

Speed.GPU.#1.:  2011.1 MH/s

Hashtype: MSSQL(2005)
Workload: 1024 loops, 256 accel

Speed.GPU.#1.:  2011.9 MH/s

Hashtype: MSSQL(2012)
Workload: 256 loops, 256 accel

Speed.GPU.#1.:   215.8 MH/s

Hashtype: MySQL323
Workload: 1024 loops, 256 accel

Speed.GPU.#1.: 11829.0 MH/s

Hashtype: MySQL4.1/MySQL5
Workload: 512 loops, 256 accel

Speed.GPU.#1.:   890.7 MH/s

Hashtype: Oracle H: Type (Oracle 7+)
Workload: 128 loops, 64 accel

Speed.GPU.#1.:   188.7 MH/s

Hashtype: Oracle S: Type (Oracle 11+)
Workload: 1024 loops, 256 accel

Speed.GPU.#1.:  1904.2 MH/s

Hashtype: Oracle T: Type (Oracle 12+)
Workload: 1024 loops, 8 accel

Speed.GPU.#1.:    16568 H/s

Hashtype: Sybase ASE
Workload: 512 loops, 32 accel

Speed.GPU.#1.: 88246.0 kH/s

Hashtype: EPiServer 6.x < v4
Workload: 1024 loops, 256 accel

Speed.GPU.#1.:  1607.8 MH/s

Hashtype: EPiServer 6.x > v4
Workload: 512 loops, 256 accel

Speed.GPU.#1.:   675.3 MH/s

Hashtype: md5apr1, MD5(APR), Apache MD5
Workload: 1000 loops, 32 accel

Speed.GPU.#1.:  2459.1 kH/s

Hashtype: ColdFusion 10+
Workload: 256 loops, 128 accel

Speed.GPU.#1.:   372.8 MH/s

Hashtype: hMailServer
Workload: 512 loops, 256 accel

Speed.GPU.#1.:   675.3 MH/s

Hashtype: SHA-1(Base64), nsldap, Netscape LDAP SHA
Workload: 1024 loops, 256 accel

Speed.GPU.#1.:  1902.1 MH/s

Hashtype: SSHA-1(Base64), nsldaps, Netscape LDAP SSHA
Workload: 1024 loops, 256 accel

Speed.GPU.#1.:  1870.7 MH/s

Hashtype: SSHA-512(Base64), LDAP {SSHA512}
Workload: 256 loops, 256 accel

Speed.GPU.#1.:   217.4 MH/s

Hashtype: LM
Workload: 1024 loops, 256 accel

Speed.GPU.#1.:  3851.4 MH/s

Hashtype: NTLM
Workload: 1024 loops, 256 accel

Speed.GPU.#1.: 10536.4 MH/s

Hashtype: Domain Cached Credentials (DCC), MS Cache
Workload: 1024 loops, 256 accel

Speed.GPU.#1.:  2919.9 MH/s

Hashtype: Domain Cached Credentials 2 (DCC2), MS Cache 2
Workload: 1024 loops, 16 accel

Speed.GPU.#1.:    76150 H/s

Hashtype: MS-AzureSync PBKDF2-HMAC-SHA256
Workload: 100 loops, 256 accel

Speed.GPU.#1.:  3050.6 kH/s

Hashtype: descrypt, DES(Unix), Traditional DES
Workload: 1024 loops, 64 accel

Speed.GPU.#1.: 77154.6 kH/s

Hashtype: BSDiCrypt, Extended DES
Workload: 1024 loops, 256 accel

Speed.GPU.#1.:  1104.9 kH/s

Hashtype: md5crypt, MD5(Unix), FreeBSD MD5, Cisco-IOS MD5
Workload: 1000 loops, 32 accel

Speed.GPU.#1.:  2457.2 kH/s

Hashtype: bcrypt, Blowfish(OpenBSD)
Workload: 32 loops, 2 accel

Speed.GPU.#1.:     2320 H/s

Hashtype: sha256crypt, SHA256(Unix)
Workload: 1024 loops, 4 accel

Speed.GPU.#1.:    92315 H/s

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

Speed.GPU.#1.:     8286 H/s

Hashtype: OSX v10.4, v10.5, v10.6
Workload: 1024 loops, 256 accel

Speed.GPU.#1.:  1607.9 MH/s

Hashtype: OSX v10.7
Workload: 256 loops, 256 accel

Speed.GPU.#1.:   180.9 MH/s

Hashtype: OSX v10.8+
Workload: 1024 loops, 2 accel

Speed.GPU.#1.:     1724 H/s

Hashtype: AIX {smd5}
Workload: 1000 loops, 32 accel

Speed.GPU.#1.:  2460.1 kH/s

Hashtype: AIX {ssha1}
Workload: 64 loops, 128 accel

Speed.GPU.#1.: 10458.6 kH/s

Hashtype: AIX {ssha256}
Workload: 64 loops, 128 accel

Speed.GPU.#1.:  4584.9 kH/s

Hashtype: AIX {ssha512}
Workload: 64 loops, 32 accel

Speed.GPU.#1.:  1074.2 kH/s

Hashtype: Cisco-PIX MD5
Workload: 1024 loops, 256 accel

Speed.GPU.#1.:  3994.7 MH/s

Hashtype: Cisco-ASA MD5
Workload: 1024 loops, 256 accel

Speed.GPU.#1.:  3981.6 MH/s

Hashtype: Cisco-IOS SHA256
Workload: 512 loops, 256 accel

Speed.GPU.#1.:   772.0 MH/s

Hashtype: Cisco $8$
Workload: 1024 loops, 8 accel

Speed.GPU.#1.:    16616 H/s

Hashtype: Cisco $9$
Workload: 1 loops, 4 accel

Speed.GPU.#1.:      764 H/s

Hashtype: Juniper Netscreen/SSG (ScreenOS)
Workload: 1024 loops, 256 accel

Speed.GPU.#1.:  3149.3 MH/s

Hashtype: Juniper IVE
Workload: 1000 loops, 32 accel

Speed.GPU.#1.:  2463.4 kH/s

Hashtype: Android PIN
Workload: 1024 loops, 16 accel

Speed.GPU.#1.:  1364.8 kH/s

Hashtype: Citrix NetScaler
Workload: 1024 loops, 256 accel

Speed.GPU.#1.:  1703.6 MH/s

Hashtype: RACF
Workload: 128 loops, 256 accel

Speed.GPU.#1.:   547.4 MH/s

Hashtype: GRUB 2
Workload: 1024 loops, 2 accel

Speed.GPU.#1.:     6025 H/s

Hashtype: Radmin2
Workload: 1024 loops, 256 accel

Speed.GPU.#1.:  1922.3 MH/s

Hashtype: SAP CODVN B (BCODE)
Workload: 1024 loops, 64 accel

Speed.GPU.#1.:   161.0 MH/s

Hashtype: SAP CODVN F/G (PASSCODE)
Workload: 512 loops, 32 accel

Speed.GPU.#1.: 11874.8 kH/s

Hashtype: SAP CODVN H (PWDSALTEDHASH) iSSHA-1
Workload: 1024 loops, 16 accel

Speed.GPU.#1.:  1401.9 kH/s

Hashtype: Lotus Notes/Domino 5
Workload: 128 loops, 32 accel

Speed.GPU.#1.: 59499.5 kH/s

Hashtype: Lotus Notes/Domino 6
Workload: 128 loops, 32 accel

Speed.GPU.#1.: 11415.7 kH/s

Hashtype: Lotus Notes/Domino 8
Workload: 1024 loops, 64 accel

Speed.GPU.#1.:   134.4 kH/s

Hashtype: PeopleSoft
Workload: 1024 loops, 256 accel

Speed.GPU.#1.:  2011.2 MH/s

Hashtype: 7-Zip
Workload: 1024 loops, 4 accel

Speed.GPU.#1.:     2030 H/s

Hashtype: RAR3-hp
Workload: 16384 loops, 32 accel

Speed.GPU.#1.:     5191 H/s

Hashtype: TrueCrypt 5.0+ PBKDF2-HMAC-RipeMD160 + XTS 512 bit
Workload: 1024 loops, 64 accel

Speed.GPU.#1.:    26717 H/s

Hashtype: TrueCrypt 5.0+ PBKDF2-HMAC-SHA512 + XTS 512 bit
Workload: 1000 loops, 8 accel

Speed.GPU.#1.:    65811 H/s

Hashtype: TrueCrypt 5.0+ PBKDF2-HMAC-Whirlpool + XTS 512 bit
Workload: 1000 loops, 8 accel

Speed.GPU.#1.:    12991 H/s

Hashtype: TrueCrypt 5.0+ PBKDF2-HMAC-RipeMD160 + XTS 512 bit + boot-mode
Workload: 1000 loops, 128 accel

Speed.GPU.#1.:    52890 H/s

Hashtype: Android FDE <= 4.3
Workload: 1024 loops, 32 accel

Speed.GPU.#1.:   166.9 kH/s

Hashtype: eCryptfs
Workload: 1024 loops, 8 accel

Speed.GPU.#1.:     2616 H/s

Hashtype: MS Office <= 2003 MD5 + RC4, oldoffice$0, oldoffice$1
Workload: 1024 loops, 32 accel

Speed.GPU.#1.: 14539.3 kH/s

Hashtype: MS Office <= 2003 MD5 + RC4, collision-mode #1
Workload: 1024 loops, 32 accel

Speed.GPU.#1.: 27812.3 kH/s

Hashtype: MS Office <= 2003 SHA1 + RC4, oldoffice$3, oldoffice$4
Workload: 1024 loops, 32 accel

Speed.GPU.#1.: 18776.4 kH/s

Hashtype: MS Office <= 2003 SHA1 + RC4, collision-mode #1
Workload: 1024 loops, 32 accel

Speed.GPU.#1.: 29260.3 kH/s

Hashtype: Office 2007
Workload: 1024 loops, 32 accel

Speed.GPU.#1.:    27056 H/s

Hashtype: Office 2010
Workload: 1024 loops, 32 accel

Speed.GPU.#1.:    13553 H/s

Hashtype: Office 2013
Workload: 1024 loops, 4 accel

Speed.GPU.#1.:     1512 H/s

Hashtype: PDF 1.1 - 1.3 (Acrobat 2 - 4)
Workload: 1024 loops, 32 accel
    
Speed.GPU.#1.: 28542.8 kH/s

Hashtype: PDF 1.1 - 1.3 (Acrobat 2 - 4) + collider-mode #1
Workload: 1024 loops, 32 accel

Speed.GPU.#1.: 32523.0 kH/s

Hashtype: PDF 1.4 - 1.6 (Acrobat 5 - 8)
Workload: 70 loops, 256 accel

Speed.GPU.#1.:  1330.0 kH/s

Hashtype: PDF 1.7 Level 3 (Acrobat 9)
Workload: 512 loops, 256 accel

Speed.GPU.#1.:   771.8 MH/s

Hashtype: PDF 1.7 Level 8 (Acrobat 10 - 11)
Workload: 64 loops, 8 accel

Speed.GPU.#1.:     6060 H/s

Hashtype: Password Safe v2
Workload: 1000 loops, 16 accel

Speed.GPU.#1.:    43785 H/s

Hashtype: Password Safe v3
Workload: 1024 loops, 16 accel

Speed.GPU.#1.:   351.1 kH/s

Hashtype: Lastpass
Workload: 500 loops, 64 accel

Speed.GPU.#1.:   641.4 kH/s

Hashtype: 1Password, agilekeychain
Workload: 1000 loops, 64 accel

Speed.GPU.#1.:   669.8 kH/s

Hashtype: 1Password, cloudkeychain
Workload: 1024 loops, 2 accel

Speed.GPU.#1.:     1508 H/s

Hashtype: Bitcoin/Litecoin wallet.dat
Workload: 1024 loops, 2 accel

Speed.GPU.#1.:      376 H/s

Hashtype: Blockchain, My Wallet
Workload: 10 loops, 256 accel

Speed.GPU.#1.: 11149.6 kH/s

Performance of the 6970 I find around the Internets, is MD5=5878MH/s and WPA2≃82kH/s.
I was expecting to get at least 90% of that speed - but the benchmark got _more_ than others have posted for WPA2, and the same (almost) for MD5. It seems performance of hashcat is totally unaffected by beeing virtualized.
My performance is MD5=5698MH/s and WPA2=95kH/s.


Extras
I use hashtopus to control this VM. To start the agent, I use this little script:

Code:

#!/bin/bash
aticonfig --pplib-cmd "set fanspeed 0 60"
screen -d -m -S HASHAGENT01 mono hashtopus.exe

The agent execution command line (set in hashtopus agent config) must contain "--gpu-temp-disable" for the fan speed config to work.
Here's a quick reference to the screen command: http://aperiodic.net/screen/quick_reference

You may check GPU temp and fan speed this way:
aticonfig --odgt --pplib-cmd "get fanspeed 0"

Conclusion
Running oclHashcat in a VM instead of on hardware, can be a viable way to optimize hardware usage and ease management, IF you have the knowledge and time to set it up. So far, it seems there is not inpact on performance, though further testing on multiple and more recent GPU are needed to establish this as a fact.


TL;DR:
1. Install ESXi
2. Activate PCI Passthrough, reboot
3. Install a virtual guest as usual - add open-vm-tools
4. Shutdown VM and add GPU to VM
5. Start VM, install oclHashcat
6. ?
7. Profit!

Try it, you'll like it!

Output all hashes: cracked and non-cracked

June 18, 2016, 8:39 am

≫ Next: Troubleshooting overheating issues with my cracking rig

≪ Previous: Virtualization for the win

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Hello,
with --show i can show all cracked passwords ordered in same sequence as input file. Is there a option where you can show all hashes? Cracked and non-cracked ordered in same sequence input file?

Example:

Input file:                                                             
c0af77cf8294ff93a5cdb2963ca9f038                          
c0af77cf8294ff93a5cdb2963ca9f038                          
a261108357a8dbcb6a891b1efd40a794                       
2ca63cddd54f9490efad22421891a9d1       
f1534cd6b03bca4163d5773a988dc3bc               
c8d46d341bea4fd5bff866a65ff8aea9                          

Output file:
c0af77cf8294ff93a5cdb2963ca9f038:tree
c0af77cf8294ff93a5cdb2963ca9f038:tree
a261108357a8dbcb6a891b1efd40a794:
2ca63cddd54f9490efad22421891a9d1:house
f1534cd6b03bca4163d5773a988dc3bc:
c8d46d341bea4fd5bff866a65ff8aea9:game

Thanks for the help!

Troubleshooting overheating issues with my cracking rig

June 18, 2016, 9:12 am

≫ Next: Delta Fans

≪ Previous: Output all hashes: cracked and non-cracked

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Hello everyone,

I've recently invested in a dedicated password cracking machine, but I'm having trouble getting the most out of it because of heating issues. Here's a picture of how it looks inside.
Basically, that's 32 GBs of RAM, a Core i7 and 4 AMD GPUs (SAPPHIRE R9 290 4G GDD5 TRI-X).




Now as soon as I tried cracking some passwords with it, the overheating problems showed up. No matter what I tried, it would never run for more than 5 minutes. I figured that the GPUs were too close to each other and were blowing out their heat on each other.
What I did next (while being quite unhappy about it) was remove two of the four GPUs; this way, there's some space between them for the air to circulate. I still had major overheating issues, so my last ditch effort was to place the machine in front of an opened window and add a big general purpose fan in front of it:



Now, it works a bit better. I still get interruptions due to overheating every 1-6 hours, but at least I can get some work done.
It feels quite bad to have 2 GPUs that I cannot use, though, so I was wondering if anyone would be so kind as to give me some advice on this problem. Thanks a lot in advance for your time!

Delta Fans

June 18, 2016, 3:03 pm

≫ Next: Double SHA1

≪ Previous: Troubleshooting overheating issues with my cracking rig

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Hi,

I plan to replace my current front and exhaust fans with Delta's but confuse which model to choose. From searching the forum, I found 3 models being suggested:

• AFB1212GHE
  
• QFR1212GHE
  
• FFB1212EH
  

My current rig are now running with 3 x 120mm front fans and 1 x 120mm exhaust fan specifically model Jetflow 120 from CoolerMaster (95 CFM, 800 - 2000 RPM).

What model of Delta fan will be suitable for my rig?

Oh and by the way, I'm using Thermaltake Commander F6 fan controller that can support 6 channels (30 Watts each).

Thank you.









Best regards,
Azren

Double SHA1

June 19, 2016, 2:40 pm

≫ Next: HashKiller Contest July 2016 - Registration Open!

≪ Previous: Delta Fans

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Hi all,

Im quite new to using Hashcat.

My first database I happen to have Im testing against to which I also have the source to how it was hashed is proving more difficult that I thought.

It has been hashed twice as follows. (there is no salt)

$Hash1 = SHA1([password-to-hash);

$Hash2 = SHA1($Hash1);

Now $Hash2 contains something like "FF 12 FE ........" in Hex etc.

Now Hashcat can have a go at this now with the right parameters even though its doubled. (I believe).

The problem I have is that the Hex output of the double hash has been converted to a base 10 Decimal number and that is what is now the hash.

i.e. "FF12FE...." will become: "25518254...." which without some sort of delimiter I cannot convert back to Hex again.

Is there a way to deal with this within Hashcat or do I need to go off and create my own rainbow tables maybe.

Billy

HashKiller Contest July 2016 - Registration Open!

June 20, 2016, 2:59 am

≫ Next: Different kernels: why?

≪ Previous: Double SHA1

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Dear all,

Contest registration is now OPEN:

https://hashkiller.co.uk/contest/

Total hashes: 11,125,022
Total Points: 113,493,040

To register, you must be logged into the forum and be part of the team that is taking part as its your team name that is registered. You can manage who can submit their found passwords via your team system below.

To create a team, go to the Team List page below and click "Create Team":

https://forum.hashkiller.co.uk/team-list.aspx

Also, for the smaller teams who don't have any way of managing the lists, there will be "left" list downloads available.

Different kernels: why?

June 21, 2016, 2:38 am

≫ Next: New SuperCalculator

≪ Previous: HashKiller Contest July 2016 - Registration Open!

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I'd like to add a new algotithm to hashcat (3). It seems to me that e.g. https://github.com/hashcat/oclHashcat/co...2ac427179c
 is a good starting point. I've got some questions though: 

---

In the diffs I see that four kernels are added: OpenCL/m*_a[0-3].cl. Why 4? What's the use of a0/a1/a2/a3? To simplify testing, can I also use just one?

---

Can somebody provide me with tips 'n tricks for debugging OpenCL kernels? I'm looking for ways to check values of variables etc., thing like a printf that runs / triggers from the kernel and displays data to console out.

---

For getting to know hashcat, I'd like to clone and slightly change existing algorithms.

Step 1 consisted of copying an existing algorithm to a new hash number to make sure that I understand hashcat's structure. This works fine. I've cloned SHA1 (m=100) for this test. Success!

Step 2 is extending the copied algorithm to something new to understand the OpenCL kernels. Let's say I want to update the copied SHA1(candidate_password) to SHA1(SHA1(candidate_password)). The main action seems to be in the function m00100m, originally implementing:
  - candidate_hash = SHA1(candidate_password)
  - compare(canidate_hash, real_hash) 

To get going I want to understand and implement:
  - temp = SHA1(candidate_password)
  - candidate_hash = SHA1(temp)
  - compare(canidate_hash, real_hash) 

Due to the highly optimized code, it's difficult for me to understand it, especially since I don't understand the varaible names convention (if any) and the very limited documentation in the code.

I know that m=4500 is a double SHA1 but the second SHA1 is calculated over the hexstring value of the canidate password, not over the raw SHA1 byte output of the first iteration (example: SHA1(ASCII '123') = 0x40bd001563085fc35165329ea1ff5c5ecbdbbeef, SHA1(ASCII '40bd001563085fc35165329ea1ff5c5ecbdbbeef') = 0x9adcb29710e807607b683f62e555c22dc5659713), this can be cracked with m=4500 where I want to crack SHA1(0x40bd001563085fc35165329ea1ff5c5ecbdbbeef) = 0x23ae809ddacaf96af0fd78ed04b6a265e05aa257) .

My question: can someone please (explicitly) guide me throught step 2 by for example:
  - using m=100 twice (raw byte values as input for the second SHA1)
  - using m=4500 with stripping the raw bytes to hexstring conversion starting on line 191 in OpenCL/m04500_a3.cl.

This will for sure help me understanding the kernels and will keep me on track for implementing new stuff.

---

Thank you for your help.

John

---

New SuperCalculator

June 21, 2016, 4:55 am

≫ Next: Hashcat stops after loading wordlist

≪ Previous: Different kernels: why?

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Hi,

Just for info', fun & dream !

His name is : Sunway TaihuLight

He got ; 10 649 600 core / power : 93014,6 Tflops ( all detail in the link )

What we can expected in term of bench with that type of Machine ????

======> http://www.top500.org/news/new-chinese-s...p500-list/

Cheers,

Tony

Hashcat stops after loading wordlist

July 13, 2016, 10:13 am

≫ Next: Hashcat 3.00 No CPU support

≪ Previous: New SuperCalculator

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Hello there, just to know i am beginner and never used hashcat before, i use hashcat on windows and after loading some combolists it stopps. 
This is command that i use

Code:

hashcat64.exe -m 100 -o C:\hashcat-3.00\hashcat-3.00\cracked.txt --remove C:\hashcat-3.00\hashcat-3.00\hash.txt C:\hashcat-3.00\hashcat-3.00\wordlists

Is something bad? I didn't set anything before.
Thanks

Hashcat 3.00 No CPU support

July 13, 2016, 11:37 am

≫ Next: Noob question. Partially lost pass in TC. Can we do it?

≪ Previous: Hashcat stops after loading wordlist

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Hello.

I wanted to use my GPU and CPU both with hashcat 3.00, but some problems occured. I installed Intel Opencl Runtime 16.1 x64 and have such errors. Can anyone help?

  screen_56.jpg (Size: 127.28 KB / Downloads: 12)

Noob question. Partially lost pass in TC. Can we do it?

July 13, 2016, 12:56 pm

≫ Next: Build cluster 8X8 Geforce

≪ Previous: Hashcat 3.00 No CPU support

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Hello there,

I desperately need to find out my old pass to my TC container. The problem is that I kinda partially know the password but I forgot proper order of character in it.

It looks like this: hashcat BUT I made it like this H@shc@t or Ha5sc@at ooor h@s4cat etc.

Can I restore somehow using hashcat? Can anyone help me with this?

I owe You good polish beer for helping me with this matter.

Build cluster 8X8 Geforce

July 13, 2016, 1:38 pm

≫ Next: GPU-Device missing

≪ Previous: Noob question. Partially lost pass in TC. Can we do it?

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Hello!
There is an old  my server https://hashcat.net/forum/thread-4729.html (8x980ti) , I want to buy a new server with 8x1080.
How do I merge them into a cluster?
What would hashcat worked with 16 cards.