I do not know hashcat on ldap ssha decryption What are the ways. From the help document found that there are two parameters to support ldap ssha. Do not know how to use, as well as what parameters Thx.
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about ldap ssha
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How to Allocate More Memory?
Hashcat is only using 2 GB of my video cards memory but has 8.
Is there a way to get Hashcat to use more memory?
Would I notice any improvements in Hashcats performance if it did?
Is there a way to get Hashcat to use more memory?
Would I notice any improvements in Hashcats performance if it did?
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↧
how do i remove all duplicate words from a txt file?
I found a script to do this online in my browser but was wondering if hashcat had a build in function for it
http://www.tracemyip.org/tools/remove-du...s-in-text/
http://www.tracemyip.org/tools/remove-du...s-in-text/
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Crypto Analysis
I have some new rules here and was wondering if somebody could help me test them against hashes they have already broken, maybe run some statistical analysis.
Ed, Edd, and Eddie: This ruleset appends common numbers to the end of your wordlist.
Diamond Bar: Appends 123. You wouldn't believe how many people do this.
Doubles : Appends double digits, such as 11, 22, 33. Also very common.
Trips: Appends triple digits, such as 111, 222, 333. as well as hundreds, such as 100, 200, 300. Not as common as Digits, but less keyspace.
Digits: Appends 00-99, avoiding duplicates from doubles.
DDD: Runs all the fore mentioned rulesets in sequence.
In The Year 2525: This ruleset also appends common numbers, in a slightly more targeted fashion.
Singles: Appends single digit numbers such as 1, 2, 3 ect. though statistically insignificant, it never hurts to check, and its easy to overlook later in the process.
Quads: Appends quadruple digits, such as 1111, 2222, 3333. Appends double-double digits, like 1010, 7474, 9898. Appends thousands, such as 1000, 2000, 3000. Appends double hundreds, such as 7700, 6400, 3200. It is very common to use this number set.
Time: Appends 1900-2019. Can also be used with birthdays, holidays, anniversaries. Also comes with a subfolder called Generations to trim the dates based on when you were born, married, joined the service, ect.
2525: Runs all the fore mentioned rulesets in sequence.
I'm going to try to prepend these asap.
![.zip]( "ZIP File")
EdEddnEddie.zip (Size: 1.14 KB / Downloads: 1)
![.zip]( "ZIP File")
Generations.zip (Size: 1.15 KB / Downloads: 0)
![.zip]( "ZIP File")
InTheYear2525.zip (Size: 1.58 KB / Downloads: 0)
Ed, Edd, and Eddie: This ruleset appends common numbers to the end of your wordlist.
Diamond Bar: Appends 123. You wouldn't believe how many people do this.
Doubles : Appends double digits, such as 11, 22, 33. Also very common.
Trips: Appends triple digits, such as 111, 222, 333. as well as hundreds, such as 100, 200, 300. Not as common as Digits, but less keyspace.
Digits: Appends 00-99, avoiding duplicates from doubles.
DDD: Runs all the fore mentioned rulesets in sequence.
In The Year 2525: This ruleset also appends common numbers, in a slightly more targeted fashion.
Singles: Appends single digit numbers such as 1, 2, 3 ect. though statistically insignificant, it never hurts to check, and its easy to overlook later in the process.
Quads: Appends quadruple digits, such as 1111, 2222, 3333. Appends double-double digits, like 1010, 7474, 9898. Appends thousands, such as 1000, 2000, 3000. Appends double hundreds, such as 7700, 6400, 3200. It is very common to use this number set.
Time: Appends 1900-2019. Can also be used with birthdays, holidays, anniversaries. Also comes with a subfolder called Generations to trim the dates based on when you were born, married, joined the service, ect.
2525: Runs all the fore mentioned rulesets in sequence.
I'm going to try to prepend these asap.
EdEddnEddie.zip (Size: 1.14 KB / Downloads: 1)
Generations.zip (Size: 1.15 KB / Downloads: 0)
InTheYear2525.zip (Size: 1.58 KB / Downloads: 0)
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Windows vs Linux & Mixed GPU performance
So I've been collating a few bits and pieces together and built myself a capable rig (well at least I think so), and it's come to deciding the operating system.
i7 6700k 4ghz
2 x GTX 1070
2 x R9 290x
Rm1000x psu
The mix of cards was a mistake on my part, accidentally hitting go on an eBay purchase before actually shopping around for 1070s. However having then sit around collecting dust vs in use in my rig I'd prefer to use them in the rig.
So my two questions are:
1. Is there a performance hit using hashcat in Linux vs hashcat in windows. (V3.20)
2. With mixed vendor GPU cards, would you recommend Windows or Linux being the easiest to get up and running?
Faffing about compiling and building kernel modules doesn't phase me (I use *nix on a daily basis) but I'm curious as to your experiences running mixed kit.
3rd question: is it even worth me running the mixed cards or should I just shove them on eBay and buy a 3rd GTX1070 from the proceeds?
i7 6700k 4ghz
2 x GTX 1070
2 x R9 290x
Rm1000x psu
The mix of cards was a mistake on my part, accidentally hitting go on an eBay purchase before actually shopping around for 1070s. However having then sit around collecting dust vs in use in my rig I'd prefer to use them in the rig.
So my two questions are:
1. Is there a performance hit using hashcat in Linux vs hashcat in windows. (V3.20)
2. With mixed vendor GPU cards, would you recommend Windows or Linux being the easiest to get up and running?
Faffing about compiling and building kernel modules doesn't phase me (I use *nix on a daily basis) but I'm curious as to your experiences running mixed kit.
3rd question: is it even worth me running the mixed cards or should I just shove them on eBay and buy a 3rd GTX1070 from the proceeds?
↧
↧
Building a budget rig, with room for upgrades. Help appreciated.
Hey guys,
Hope your all having a decent time n the forums. I'm sorry to bother you all, but I am very new to the world of hashcat, and am going to be spending a fair amount of money, at least to myself, and I am not in a position where I am able to take risks with cash.
Anyhow, before I get to the real info, I'd like to warn you that some of these questions have been asked before, and though I have read through the posts, I am still in need of more information.
My plans as of right now, are probably going to be viewed by some as ***tty, though It is the best I can do with the budget I have. I have been using self made scripts involving aircrack at 5000 keys per second so anything will be a boost lol.
__________________________________________________________________________________________
Okay so here goes, essentially I have a budget of 600-800, preferably 700 max. I am planning to buy a scrap large tower pc for 100-200 bucks used somewhere, and use that for the case and any of the simpler parts like sound and ethernet or wifi cards, things like that. I've never built a pc before but it seems cheaper to buy used, and replace cpu, motherboard and gpu. I would love to hear your guys opinion on that.
I am hoping this is the best option but I am not sure, it only saves me seventy five dollars or so from buying parts separately, so if this is a bad Idea please feel free to let me know.
_________________________________________________________________________________________
aside from that, providing that my pc base would be adequate, I will now list, cpu choices, motherboard, and gpu choices.
I have found many lists of preferable gpu's, and from those I will either be using a,
-radeon hd 7970
-radeon r9 290
-gtx 950
-gtx 750 ti
-gtx 970 ti
I will probably be choosing from those. Would appreciate any better suggestions, but please remember I have a low budget. I also did have a question, from the research I did online, I have been told that amd beats nvidia, but I feel that is old information.
Another thing I have heard is that reference design video cards is the only way to go for hash cracking. Can anyone confirm or deny this?
________________________________________________________________________________________
Allright, now for the CPU. This is the real reason for this post. my cpu's are looking to be more expensive than my gpu, which is just ridiculous. I have read online that you do not need a very good cpu for hash cracking. I don't know if I believe this, because I have also seen many posts of supposed bottlenecking from CPU to the GPU.
For this reason, and the fact that I would like it to function as a PC as well, I am thinking I will need a half decent CPU at the very least. i7's are out of the question completely.
-i5 / most expensive option, supposedly the most powerful. little over budget.
-i3 / exact same cpu in my very average laptop, affordable, but I am afraid to get it, as my laptop is cr*p.
then again, laptop is older than skylake gen so maybe that would be an option. thoughts? ; in retrospect, laptop has gotten me through several years of poor care, so that may not be the i3's fault.
-amd fx 4300
-amd fx 6300
-amd fx 8300
-amd fx 8320
-amd a10 series? /actually only just read about these APU's, and am curious which would be stronger.
I am hoping AMD would be sufficient, as they are cheaper, and from what I have heard, hashcat did not run very well on INTEL processors in the past.
________________________________________________________________________________________
As for the motherboard, I am pretty much gong to be going for the cheapest standard ATX board. I was thinking MICRO ATX, but I think the larger size would be better. Again, any knowledgeable opinions would be welcomed here. Don't think you really need to know which one, provided it is compatible, but for now I am thinking
- Gigabyte GA-970A-D3P ATX AM3+/AM3 Motherboard
https://ca.pcpartpicker.com/product/wVMF...-ga970ad3p
[url=https://ca.pcpartpicker.com/product/wVMFf7/gigabyte-motherboard-ga970ad3p][/url]
__________________________________________________________________________________________
Allright, thank you guys so much if you made it through all of that lol. I hope I presented my info properly, and I do hope I didn't embarrass myself too much. again I am very new, and still eager to learn. Please, I am in no rush, but any input you guys may have on which cpu I should choose, or just general advice would be greatly appreciated. Have a good one![Smile]( "Smile")
Hope your all having a decent time n the forums. I'm sorry to bother you all, but I am very new to the world of hashcat, and am going to be spending a fair amount of money, at least to myself, and I am not in a position where I am able to take risks with cash.
Anyhow, before I get to the real info, I'd like to warn you that some of these questions have been asked before, and though I have read through the posts, I am still in need of more information.
My plans as of right now, are probably going to be viewed by some as ***tty, though It is the best I can do with the budget I have. I have been using self made scripts involving aircrack at 5000 keys per second so anything will be a boost lol.
__________________________________________________________________________________________
Okay so here goes, essentially I have a budget of 600-800, preferably 700 max. I am planning to buy a scrap large tower pc for 100-200 bucks used somewhere, and use that for the case and any of the simpler parts like sound and ethernet or wifi cards, things like that. I've never built a pc before but it seems cheaper to buy used, and replace cpu, motherboard and gpu. I would love to hear your guys opinion on that.
I am hoping this is the best option but I am not sure, it only saves me seventy five dollars or so from buying parts separately, so if this is a bad Idea please feel free to let me know.
_________________________________________________________________________________________
aside from that, providing that my pc base would be adequate, I will now list, cpu choices, motherboard, and gpu choices.
I have found many lists of preferable gpu's, and from those I will either be using a,
-radeon hd 7970
-radeon r9 290
-gtx 950
-gtx 750 ti
-gtx 970 ti
I will probably be choosing from those. Would appreciate any better suggestions, but please remember I have a low budget. I also did have a question, from the research I did online, I have been told that amd beats nvidia, but I feel that is old information.
Another thing I have heard is that reference design video cards is the only way to go for hash cracking. Can anyone confirm or deny this?
________________________________________________________________________________________
Allright, now for the CPU. This is the real reason for this post. my cpu's are looking to be more expensive than my gpu, which is just ridiculous. I have read online that you do not need a very good cpu for hash cracking. I don't know if I believe this, because I have also seen many posts of supposed bottlenecking from CPU to the GPU.
For this reason, and the fact that I would like it to function as a PC as well, I am thinking I will need a half decent CPU at the very least. i7's are out of the question completely.
-i5 / most expensive option, supposedly the most powerful. little over budget.
-i3 / exact same cpu in my very average laptop, affordable, but I am afraid to get it, as my laptop is cr*p.
then again, laptop is older than skylake gen so maybe that would be an option. thoughts? ; in retrospect, laptop has gotten me through several years of poor care, so that may not be the i3's fault.
-amd fx 4300
-amd fx 6300
-amd fx 8300
-amd fx 8320
-amd a10 series? /actually only just read about these APU's, and am curious which would be stronger.
I am hoping AMD would be sufficient, as they are cheaper, and from what I have heard, hashcat did not run very well on INTEL processors in the past.
________________________________________________________________________________________
As for the motherboard, I am pretty much gong to be going for the cheapest standard ATX board. I was thinking MICRO ATX, but I think the larger size would be better. Again, any knowledgeable opinions would be welcomed here. Don't think you really need to know which one, provided it is compatible, but for now I am thinking
- Gigabyte GA-970A-D3P ATX AM3+/AM3 Motherboard
https://ca.pcpartpicker.com/product/wVMF...-ga970ad3p
[url=https://ca.pcpartpicker.com/product/wVMFf7/gigabyte-motherboard-ga970ad3p][/url]
__________________________________________________________________________________________
Allright, thank you guys so much if you made it through all of that lol. I hope I presented my info properly, and I do hope I didn't embarrass myself too much. again I am very new, and still eager to learn. Please, I am in no rush, but any input you guys may have on which cpu I should choose, or just general advice would be greatly appreciated. Have a good one
↧
Where I went wrong w/ this short line of code??
Hey there. I'm trying to recover a password from a work SQL server and am completely new to the hash cracking sphere. I'm closely following a guide written that used a much older version of hashcat (http://www.sqlservercentral.com/articles...ng/96540/) to figure out how to retrieve the password, however I'm stuck with the "Invalid argument specified error". Could anyone please help me figure out where I went wrong?
hashcat32.exe -a 3 --pw-min=2 --pw-max=12 -m 131 -p : -o
"C:\Users\Owner\Downloads\hashcat-3.20/SQL_passwords.txt"
-n 2 "C:\Users\Owner\Downloads\hashcat-3.20/Hashes.txt" -1
?l?u?d?s ?1?1?1?1?1?1?1?1?1?1?1?1
Invalid Argument Specified
Thanks
![.png]( "PNG Image")
1.PNG (Size: 5.38 KB / Downloads: 0)
hashcat32.exe -a 3 --pw-min=2 --pw-max=12 -m 131 -p : -o
"C:\Users\Owner\Downloads\hashcat-3.20/SQL_passwords.txt"
-n 2 "C:\Users\Owner\Downloads\hashcat-3.20/Hashes.txt" -1
?l?u?d?s ?1?1?1?1?1?1?1?1?1?1?1?1
Invalid Argument Specified
Thanks
1.PNG (Size: 5.38 KB / Downloads: 0)
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How do you run hashcat against a plaintext file?
I know that by default hashcat is set to run on MD5's.
Is there a way to run it against a plaintext file?
Is there a way to run it against a plaintext file?
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Can you run hashcat backwards?
Can you use hashcat to generate hashes from a wordlist?
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Cracking WPA with hashcat news
For those of you who is cracking WPA with hashcat, continue reading...
Sometimes it happens that the WPA handshake you've recorded is broken. Unfortionaly there's no reliable way to detect and report such a broken handshake on startup. Even worse, hashcat (or any other cracker) is unable to crack such handshakes even if you had the correct password in your wordlist.
The latest beta version of hashcat supports cracking multiple WPA/WPA2 handshakes with the same ESSID for the price of one. That's possible because in the PBKDF2 computation WPA/WPA2 protocol uses the ESSID as salt and no other data is mixed in. That's not really news, most of the WPA crackers make use of this and build rainbow tables (yes, lol) for the most common ESSID's. This is really useless.
However, there's another reason to exploit this and this is the reason why I've added support for it. You can record multiple WPA handshakes against the same AP and since the ESSID isn't changed you can now crack them all for the price of a single handshake. The advantage is that the chances increase that there's at least one valid handshake recorded the more handshakes you record.
For example, my GTX1080 processes rockyou.txt wordlist in 30 seconds. If I add 20 more of the same AP the time it takes to process rockyou.txt is still 30 seconds.
To make use of this feature, simply concatinate the single hccap's onto each other like:
Then crack hashshake_all.hccap
Sometimes it happens that the WPA handshake you've recorded is broken. Unfortionaly there's no reliable way to detect and report such a broken handshake on startup. Even worse, hashcat (or any other cracker) is unable to crack such handshakes even if you had the correct password in your wordlist.
The latest beta version of hashcat supports cracking multiple WPA/WPA2 handshakes with the same ESSID for the price of one. That's possible because in the PBKDF2 computation WPA/WPA2 protocol uses the ESSID as salt and no other data is mixed in. That's not really news, most of the WPA crackers make use of this and build rainbow tables (yes, lol) for the most common ESSID's. This is really useless.
However, there's another reason to exploit this and this is the reason why I've added support for it. You can record multiple WPA handshakes against the same AP and since the ESSID isn't changed you can now crack them all for the price of a single handshake. The advantage is that the chances increase that there's at least one valid handshake recorded the more handshakes you record.
For example, my GTX1080 processes rockyou.txt wordlist in 30 seconds. If I add 20 more of the same AP the time it takes to process rockyou.txt is still 30 seconds.
To make use of this feature, simply concatinate the single hccap's onto each other like:
Quote:$ cat handshake1.hccap > handshake_all.hccap
$ cat handshake2.hccap >> handshake_all.hccap
$ cat handshake3.hccap >> handshake_all.hccap
$ cat handshake4.hccap >> handshake_all.hccap
...
Then crack hashshake_all.hccap
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how to write this rule? (help)
Hi, my wants is:
original value
4 Digit random numbers
Reversed original value
E.g
SYF is my original value.
SYF8888FYS
how can I do that?
original value
4 Digit random numbers
Reversed original value
E.g
SYF is my original value.
SYF8888FYS
how can I do that?
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OpenCL Platform #1: Mesa, skipped! No OpenCL compatible devices found
I installed a Kali Linux VM (64bit, newest version) on my PC and i wanted to use hashcat on it.
So i started it (v 3.1) and tried an example md5-hash (filename: test.hash) with a dictionary (filename: dictionary.txt in my 'mytestfolder'-folder) with the command
All i've got was the following error-message:
OpenCL Platform #1: Mesa, skipped! No OpenCL compatible devices found
ERROR: No devices found/left
I've got an Intel Core cpu and a AMD Radeon gpu.
I used google and the search function in this forum because i know that this is a common problem but still dont know how to solve this...
For example this (doesn't helped me) and this (only for 32 bit systems). Do i also have to change some settings in my kali vm or virtualbox, so hashcat can use my gpu/cpu?
So i started it (v 3.1) and tried an example md5-hash (filename: test.hash) with a dictionary (filename: dictionary.txt in my 'mytestfolder'-folder) with the command
Code:
hashcat -a 0 -m 0 test.hash ./mytestfolder/dictionary.txtAll i've got was the following error-message:
OpenCL Platform #1: Mesa, skipped! No OpenCL compatible devices found
ERROR: No devices found/left
I've got an Intel Core cpu and a AMD Radeon gpu.
I used google and the search function in this forum because i know that this is a common problem but still dont know how to solve this...
For example this (doesn't helped me) and this (only for 32 bit systems). Do i also have to change some settings in my kali vm or virtualbox, so hashcat can use my gpu/cpu?
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Office collision: 7 or more characters?
Hello !
I am trying to collide an Office hash : $oldoffice$0*aa*bb*cc. I use :
This command give me this RC4 key :
Then, I use 9720 MS Office <= 2003 MD5 + RC4, collision-mode #2
After 7 hours, exhausted, but no password found.
Does it mean my charset (seven times ?a) is not big enough ?
I though this mode (9720) would find a collision with only 7 characters.
8 times ?a is huge and long.
Thanks for your help.
I am trying to collide an Office hash : $oldoffice$0*aa*bb*cc. I use :
Quote:9710 | MS Office <= 2003 $0|$1, MD5 + RC4, collider #1
hashcat64.exe -w 3 -m 9710 office.hash -a 3 ?b?b?b?b?b -o tmp_office.txt
This command give me this RC4 key :
Quote:$oldoffice$0*aa*bb*cc:2c2c2c2c2c
Then, I use 9720 MS Office <= 2003 MD5 + RC4, collision-mode #2
Quote:hashcat64.exe -w 3 -m 9720 tmp_office.txt -a 3 ?a?a?a?a?a?a?a
After 7 hours, exhausted, but no password found.
Does it mean my charset (seven times ?a) is not big enough ?
I though this mode (9720) would find a collision with only 7 characters.
8 times ?a is huge and long.
Thanks for your help.
↧
↧
RX470 - only 14MCU ????
Hi ... i recently installed my msi rx470/8GB after i installed the AMDGPU-PRO 16.50 (dkms for some reason is always fail to build ) i have saw that when i run hashcat it tells me that my GPU has only 14 Compute Units(MCU) but as i have read it has 32 MCU.... Thnx in advance
inxi-Gx
Graphics: Card: Advanced Micro Devices [AMD/ATI] Ellesmere [Radeon RX 470/480] bus-ID: 01:00.0
Display Server: X.Org 1.18.4 drivers: ati,amdgpu (unloaded: fbdev,vesa,radeon)
Resolution:1920x1080@60.00hz GLX Renderer: AMD Radeon RX 470 Graphics GLX Version: 4.5.13462 - CP
hashcat -I
hashcat (v3.20-55-gd259f96) starting...
OpenCL Info:
Platform ID #1
Vendor : Advanced Micro Devices, Inc.
Name : AMD Accelerated Parallel Processing
Version : OpenCL 2.0 AMD-APP (2236.5)
Device ID #1
Type : GPU
Vendor ID : 1
Vendor : Advanced Micro Devices, Inc.
Name : Ellesmere
Version : OpenCL 1.2 AMD-APP (2236.5)
Processor(s) : 14
Clock : 555
Memory : 2047/7873 MB allocatable
OpenCL Version : OpenCL C 1.2
Driver Version : 2236.5
Device ID #2
Type : CPU
Vendor ID : 1
Vendor : AuthenticAMD
Name : AMD FX-8370 Eight-Core Processor
Version : OpenCL 1.2 AMD-APP (2236.5)
Processor(s) : 8
Clock : 2800
Memory : 2047/15948 MB allocatable
OpenCL Version : OpenCL C 1.2
Driver Version : 2236.5 (sse2,avx,fma4)
uname -a
Linux 4.8.0-30-generic #32-Ubuntu SMP Fri Dec 2 03:43:27 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux
chris@nemesis:~/hashcat$ /opt/amdgpu-pro/bin/clinfo
Number of platforms: 1
Platform Profile: FULL_PROFILE
Platform Version: OpenCL 2.0 AMD-APP (2236.5)
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: 2
Device Type: CL_DEVICE_TYPE_GPU
Vendor ID: 1002h
Board name: AMD Radeon (TM) RX 470 Graphics
Device Topology: PCI[ B#1, D#0, F#0 ]
Max compute units: 14
Max work items dimensions: 3
Max work items[0]: 256
Max work items[1]: 256
Max work items[2]: 256
Max work group size: 256
Preferred vector width char: 4
Preferred vector width short: 2
Preferred vector width int: 1
Preferred vector width long: 1
Preferred vector width float: 1
Preferred vector width double: 1
Native vector width char: 4
Native vector width short: 2
Native vector width int: 1
Native vector width long: 1
Native vector width float: 1
Native vector width double: 1
Max clock frequency: 555Mhz
Address bits: 64
Max memory allocation: 4244635648
Image support: Yes
Max number of images read arguments: 128
Max number of images write arguments: 8
Max image 2D width: 16384
Max image 2D height: 16384
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: 1024
Alignment (bits) of base address: 2048
Minimum alignment (bytes) for any datatype: 128
Single precision floating point capability
Denorms: No
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: 8256319488
Constant buffer size: 65536
Max number of constant args: 8
Local memory type: Scratchpad
Local memory size: 32768
Max pipe arguments: 0
Max pipe active reservations: 0
Max pipe packet size: 0
Max global variable size: 0
Max global variable preferred total size: 0
Max read/write image args: 0
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: 64
Error correction support: 0
Unified memory for Host and Device: 0
Profiling timer resolution: 1
Device endianess: Little
Available: Yes
Compiler available: Yes
Execution capabilities:
Execute OpenCL kernels: Yes
Execute native function: No
Queue on Host properties:
Out-of-Order: No
Profiling : Yes
Queue on Device properties:
Out-of-Order: No
Profiling : No
Platform ID: 0x7f62c9e59db8
Name: Ellesmere
Vendor: Advanced Micro Devices, Inc.
Device OpenCL C version: OpenCL C 1.2
Driver version: 2236.5
Profile: FULL_PROFILE
Version: OpenCL 1.2 AMD-APP (2236.5)
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_fp16 cl_khr_gl_sharing cl_amd_device_attribute_query cl_amd_vec3 cl_amd_printf cl_amd_media_ops cl_amd_media_ops2 cl_amd_popcnt cl_khr_image2d_from_buffer cl_khr_spir cl_khr_gl_event
inxi-Gx
Graphics: Card: Advanced Micro Devices [AMD/ATI] Ellesmere [Radeon RX 470/480] bus-ID: 01:00.0
Display Server: X.Org 1.18.4 drivers: ati,amdgpu (unloaded: fbdev,vesa,radeon)
Resolution:1920x1080@60.00hz GLX Renderer: AMD Radeon RX 470 Graphics GLX Version: 4.5.13462 - CP
hashcat -I
hashcat (v3.20-55-gd259f96) starting...
OpenCL Info:
Platform ID #1
Vendor : Advanced Micro Devices, Inc.
Name : AMD Accelerated Parallel Processing
Version : OpenCL 2.0 AMD-APP (2236.5)
Device ID #1
Type : GPU
Vendor ID : 1
Vendor : Advanced Micro Devices, Inc.
Name : Ellesmere
Version : OpenCL 1.2 AMD-APP (2236.5)
Processor(s) : 14
Clock : 555
Memory : 2047/7873 MB allocatable
OpenCL Version : OpenCL C 1.2
Driver Version : 2236.5
Device ID #2
Type : CPU
Vendor ID : 1
Vendor : AuthenticAMD
Name : AMD FX-8370 Eight-Core Processor
Version : OpenCL 1.2 AMD-APP (2236.5)
Processor(s) : 8
Clock : 2800
Memory : 2047/15948 MB allocatable
OpenCL Version : OpenCL C 1.2
Driver Version : 2236.5 (sse2,avx,fma4)
uname -a
Linux 4.8.0-30-generic #32-Ubuntu SMP Fri Dec 2 03:43:27 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux
chris@nemesis:~/hashcat$ /opt/amdgpu-pro/bin/clinfo
Number of platforms: 1
Platform Profile: FULL_PROFILE
Platform Version: OpenCL 2.0 AMD-APP (2236.5)
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: 2
Device Type: CL_DEVICE_TYPE_GPU
Vendor ID: 1002h
Board name: AMD Radeon (TM) RX 470 Graphics
Device Topology: PCI[ B#1, D#0, F#0 ]
Max compute units: 14
Max work items dimensions: 3
Max work items[0]: 256
Max work items[1]: 256
Max work items[2]: 256
Max work group size: 256
Preferred vector width char: 4
Preferred vector width short: 2
Preferred vector width int: 1
Preferred vector width long: 1
Preferred vector width float: 1
Preferred vector width double: 1
Native vector width char: 4
Native vector width short: 2
Native vector width int: 1
Native vector width long: 1
Native vector width float: 1
Native vector width double: 1
Max clock frequency: 555Mhz
Address bits: 64
Max memory allocation: 4244635648
Image support: Yes
Max number of images read arguments: 128
Max number of images write arguments: 8
Max image 2D width: 16384
Max image 2D height: 16384
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: 1024
Alignment (bits) of base address: 2048
Minimum alignment (bytes) for any datatype: 128
Single precision floating point capability
Denorms: No
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: 8256319488
Constant buffer size: 65536
Max number of constant args: 8
Local memory type: Scratchpad
Local memory size: 32768
Max pipe arguments: 0
Max pipe active reservations: 0
Max pipe packet size: 0
Max global variable size: 0
Max global variable preferred total size: 0
Max read/write image args: 0
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: 64
Error correction support: 0
Unified memory for Host and Device: 0
Profiling timer resolution: 1
Device endianess: Little
Available: Yes
Compiler available: Yes
Execution capabilities:
Execute OpenCL kernels: Yes
Execute native function: No
Queue on Host properties:
Out-of-Order: No
Profiling : Yes
Queue on Device properties:
Out-of-Order: No
Profiling : No
Platform ID: 0x7f62c9e59db8
Name: Ellesmere
Vendor: Advanced Micro Devices, Inc.
Device OpenCL C version: OpenCL C 1.2
Driver version: 2236.5
Profile: FULL_PROFILE
Version: OpenCL 1.2 AMD-APP (2236.5)
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_fp16 cl_khr_gl_sharing cl_amd_device_attribute_query cl_amd_vec3 cl_amd_printf cl_amd_media_ops cl_amd_media_ops2 cl_amd_popcnt cl_khr_image2d_from_buffer cl_khr_spir cl_khr_gl_event
↧
Need Help Parsing 10M list
There is a very large list of passwords that has been posted online. I opened this file in notepad++. (it took a while to load) When I went over it, I noticed something. It still had all the user names listed, all the username data had been replaced with zero's. I thought I could get around this by using --username, but some of the listings don't have any spacing between passwords and usernames, and it didn't work. I used the gate utility to chop it up into pieces, then used notepad++ regex editor to turn tabs into newlines, so i could at least run the list against hashcat in plaintext, but unfortunately this means I am unable to run a mask without picking up 250k false positives from all the username data. I need help parsing this list.
https://download.g0tmi1k.com/wordlists/large/
https://download.g0tmi1k.com/wordlists/large/
↧
GTX650M faster than GTX960 in some hashes
How is it possible for a GTX650M to be faster than a GTX960 for these hashes? Is it a fluke or perhaps a driver issue on the 960?
Specifically, the first 10 or so hashes on the list are 10x faster on the 650M than the 960. I posted the whole benchmark result for both (at least until it crashed).
The 650M is in a 2012 MBP, the 960 is in my Hackintosh desktop. Both running OSX 10.11 (El Capitan).
$ hashcat -b -d 3
hashcat (v3.10) starting in benchmark-mode...
OpenCL Platform #1: Apple
=========================
- Device #1: Intel(R) Core(TM) i7-3615QM CPU @ 2.30GHz, skipped
- Device #2: HD Graphics 4000, skipped
- Device #3: GeForce GT 650M, 128/512 MB allocatable, 2MCU
Hashtype: MD4
Speed.Dev.#3.: 1182.5 GH/s (0.22ms)
Hashtype: MD5
Speed.Dev.#3.: 919.3 GH/s (0.23ms)
Hashtype: Half MD5
Speed.Dev.#3.: 233.4 MH/s (95.84ms)
Hashtype: SHA1
Speed.Dev.#3.: 1789.6 GH/s (0.08ms)
Hashtype: SHA256
Speed.Dev.#3.: 1084.6 GH/s (0.08ms)
Hashtype: SHA384
Speed.Dev.#3.: 1602.6 GH/s (0.09ms)
Hashtype: SHA512
Speed.Dev.#3.: 1185.1 GH/s (0.09ms)
Hashtype: SHA-3(Keccak)
Speed.Dev.#3.: 2716.8 kH/s (93.93ms)
Hashtype: SipHash
Speed.Dev.#3.: 1551.7 GH/s (0.08ms)
Hashtype: RipeMD160
Speed.Dev.#3.: 62067.6 kH/s (95.61ms)
Hashtype: Whirlpool
Speed.Dev.#3.: 4093.1 kH/s (106.04ms)
Hashtype: GOST R 34.11-94
Speed.Dev.#3.: 9788.9 kH/s (163.27ms)
Hashtype: GOST R 34.11-2012 (Streebog) 256-bit
Speed.Dev.#3.: 1414.9 kH/s (116.92ms)
Hashtype: GOST R 34.11-2012 (Streebog) 512-bit
Speed.Dev.#3.: 1416.5 kH/s (116.81ms)
Hashtype: phpass, MD5(Wordpress), MD5(phpBB3), MD5(Joomla)
Speed.Dev.#3.: 105.7 kH/s (87.31ms)
Hashtype: scrypt
Speed.Dev.#3.: 14674 H/s (68.10ms)
Hashtype: PBKDF2-HMAC-MD5
Speed.Dev.#3.: 79614 H/s (87.20ms)
Hashtype: PBKDF2-HMAC-SHA1
Speed.Dev.#3.: 43071 H/s (88.86ms)
Hashtype: PBKDF2-HMAC-SHA256
Speed.Dev.#3.: 16834 H/s (92.04ms)
Hashtype: PBKDF2-HMAC-SHA512
Speed.Dev.#3.: 6961 H/s (93.27ms)
Hashtype: Skype
Speed.Dev.#3.: 223.1 MH/s (95.37ms)
Hashtype: WPA/WPA2
Speed.Dev.#3.: 5227 H/s (94.61ms)
Hashtype: IKE-PSK MD5
Speed.Dev.#3.: 19766.5 kH/s (94.20ms)
Hashtype: IKE-PSK SHA1
Speed.Dev.#3.: 10741.1 kH/s (94.82ms)
Hashtype: NetNTLMv1-VANILLA / NetNTLMv1+ESS
Speed.Dev.#3.: 78432.6 MH/s (6.46ms)
Hashtype: NetNTLMv2
Speed.Dev.#3.: 17132.6 kH/s (94.28ms)
Hashtype: IPMI2 RAKP HMAC-SHA1
Speed.Dev.#3.: 20600.2 kH/s (95.19ms)
Hashtype: Kerberos 5 AS-REQ Pre-Auth etype 23
Speed.Dev.#3.: 1541.0 kH/s (157.84ms)
Hashtype: Kerberos 5 TGS-REP etype 23
Speed.Dev.#3.: 1581.2 kH/s (144.86ms)
Hashtype: DNSSEC (NSEC3)
Speed.Dev.#3.: 41686.4 kH/s (95.48ms)
Hashtype: PostgreSQL Challenge-Response Authentication (MD5)
Speed.Dev.#3.: 114.2 MH/s (96.45ms)
Hashtype: MySQL Challenge-Response Authentication (SHA1)
Speed.Dev.#3.: 31880.7 kH/s (94.81ms)
Hashtype: SIP digest authentication (MD5)
Speed.Dev.#3.: 37987.1 kH/s (96.39ms)
Hashtype: SMF > v1.1
Speed.Dev.#3.: 96742.3 kH/s (95.83ms)
Hashtype: vBulletin < v3.8.5
Speed.Dev.#3.: 108.5 MH/s (96.27ms)
Hashtype: vBulletin > v3.8.5
Speed.Dev.#3.: 73597.6 kH/s (96.15ms)
Hashtype: IPB2+, MyBB1.2+
Speed.Dev.#3.: 78103.3 kH/s (95.99ms)
Hashtype: WBB3, Woltlab Burning Board 3
Speed.Dev.#3.: 16622.3 kH/s (96.07ms)
Hashtype: OpenCart
Speed.Dev.#3.: 25867.9 kH/s (97.01ms)
Hashtype: Joomla < 2.5.18
Speed.Dev.#3.: 1032.4 GH/s (0.09ms)
Hashtype: PHPS
Speed.Dev.#3.: 108.4 MH/s (97.01ms)
Hashtype: Drupal7
Speed.Dev.#3.: 919 H/s (95.08ms)
Hashtype: osCommerce, xt:Commerce
Speed.Dev.#3.: 223.4 MH/s (95.39ms)
Hashtype: PrestaShop
Speed.Dev.#3.: 122.7 MH/s (94.99ms)
Hashtype: Django (SHA-1)
Speed.Dev.#3.: 96802.8 kH/s (95.77ms)
Hashtype: Django (PBKDF2-SHA256)
Speed.Dev.#3.: 843 H/s (94.55ms)
Hashtype: Mediawiki B type
Speed.Dev.#3.: 62527.9 kH/s (96.07ms)
Hashtype: Redmine Project Management Web App
Speed.Dev.#3.: 30589.9 kH/s (96.08ms)
Hashtype: PostgreSQL
Speed.Dev.#3.: 1024.6 GH/s (0.08ms)
Hashtype: MSSQL(2000)
Speed.Dev.#3.: 1206.5 GH/s (0.09ms)
Hashtype: MSSQL(2005)
Speed.Dev.#3.: 1491.3 GH/s (0.09ms)
Hashtype: MSSQL(2012)
Speed.Dev.#3.: 430.2 GH/s (0.11ms)
ssh Hashtype: MySQL323
Speed.Dev.#3.: 282.6 GH/s (0.18ms)
Hashtype: MySQL4.1/MySQL5
Speed.Dev.#3.: 1073.7 GH/s (0.22ms)
Hashtype: Oracle H: Type (Oracle 7+)
Abort trap: 6
$ hashcat -b
hashcat (v3.10) starting in benchmark-mode...
OpenCL Platform #1: Apple
=========================
- Device #1: Intel(R) Core(TM) i5-6600K CPU @ 3.50GHz, skipped
- Device #2: GeForce GTX 960, 1024/4096 MB allocatable, 8MCU
Hashtype: MD4
Speed.Dev.#2.: 12531.6 MH/s (95.80ms)
Hashtype: MD5
Speed.Dev.#2.: 7230.3 MH/s (95.72ms)
Hashtype: Half MD5
Speed.Dev.#2.: 4470.6 MH/s (95.80ms)
Hashtype: SHA1
Speed.Dev.#2.: 2595.0 MH/s (95.83ms)
Hashtype: SHA256
Speed.Dev.#2.: 796.5 MH/s (96.15ms)
Hashtype: SHA384
Speed.Dev.#2.: 268.2 MH/s (96.31ms)
Hashtype: SHA512
Speed.Dev.#2.: 271.1 MH/s (96.14ms)
Hashtype: SHA-3(Keccak)
Speed.Dev.#2.: 19640.7 kH/s (53.10ms)
Hashtype: SipHash
Speed.Dev.#2.: 8886.9 MH/s (95.70ms)
Hashtype: RipeMD160
Speed.Dev.#2.: 1455.0 MH/s (94.77ms)
Hashtype: Whirlpool
Speed.Dev.#2.: 26389.2 kH/s (79.10ms)
Hashtype: GOST R 34.11-94
Speed.Dev.#2.: 76809.3 kH/s (189.53ms)
Hashtype: GOST R 34.11-2012 (Streebog) 256-bit
Speed.Dev.#2.: 15273.1 kH/s (207.27ms)
Hashtype: GOST R 34.11-2012 (Streebog) 512-bit
Speed.Dev.#2.: 15203.4 kH/s (208.14ms)
Hashtype: phpass, MD5(Wordpress), MD5(phpBB3), MD5(Joomla)
Speed.Dev.#2.: 2128.5 kH/s (95.74ms)
Hashtype: scrypt
Speed.Dev.#2.: 143.7 kH/s (27.54ms)
Hashtype: PBKDF2-HMAC-MD5
Speed.Dev.#2.: 2324.6 kH/s (95.95ms)
Hashtype: PBKDF2-HMAC-SHA1
Speed.Dev.#2.: 992.0 kH/s (80.84ms)
Hashtype: PBKDF2-HMAC-SHA256
Speed.Dev.#2.: 341.7 kH/s (84.57ms)
Hashtype: PBKDF2-HMAC-SHA512
Speed.Dev.#2.: 124.7 kH/s (78.07ms)
Hashtype: Skype
Speed.Dev.#2.: 4209.7 MH/s (95.84ms)
Hashtype: WPA/WPA2
Speed.Dev.#2.: 122.8 kH/s (91.51ms)
Hashtype: IKE-PSK MD5
Speed.Dev.#2.: 569.0 MH/s (96.41ms)
Hashtype: IKE-PSK SHA1
Speed.Dev.#2.: 228.6 MH/s (98.42ms)
Hashtype: NetNTLMv1-VANILLA / NetNTLMv1+ESS
Speed.Dev.#2.: 6822.2 MH/s (96.36ms)
Hashtype: NetNTLMv2
Speed.Dev.#2.: 523.6 MH/s (95.45ms)
Hashtype: IPMI2 RAKP HMAC-SHA1
Speed.Dev.#2.: 499.5 MH/s (95.87ms)
Hashtype: Kerberos 5 AS-REQ Pre-Auth etype 23
Speed.Dev.#2.: 87689.5 kH/s (105.61ms)
Hashtype: Kerberos 5 TGS-REP etype 23
Speed.Dev.#2.: 65210.6 kH/s (102.12ms)
Hashtype: DNSSEC (NSEC3)
Speed.Dev.#2.: 976.6 MH/s (95.50ms)
Hashtype: PostgreSQL Challenge-Response Authentication (MD5)
Speed.Dev.#2.: 2006.2 MH/s (95.78ms)
Hashtype: MySQL Challenge-Response Authentication (SHA1)
Speed.Dev.#2.: 703.9 MH/s (95.28ms)
Hashtype: SIP digest authentication (MD5)
Speed.Dev.#2.: 547.2 MH/s (97.46ms)
Hashtype: SMF > v1.1
Speed.Dev.#2.: 2097.5 MH/s (96.68ms)
Hashtype: vBulletin < v3.8.5
Speed.Dev.#2.: 2150.8 MH/s (95.82ms)
Hashtype: vBulletin > v3.8.5
Speed.Dev.#2.: 1449.7 MH/s (95.88ms)
Hashtype: IPB2+, MyBB1.2+
Speed.Dev.#2.: 1536.8 MH/s (96.36ms)
Hashtype: WBB3, Woltlab Burning Board 3
Speed.Dev.#2.: 382.3 MH/s (95.30ms)
Hashtype: OpenCart
Speed.Dev.#2.: 597.7 MH/s (95.45ms)
Hashtype: Joomla < 2.5.18
Speed.Dev.#2.: 7241.2 MH/s (95.75ms)
Hashtype: PHPS
Speed.Dev.#2.: 2148.7 MH/s (95.82ms)
Hashtype: Drupal7
Speed.Dev.#2.: 16820 H/s (96.16ms)
Hashtype: osCommerce, xt:Commerce
Speed.Dev.#2.: 4214.9 MH/s (95.78ms)
Hashtype: PrestaShop
Speed.Dev.#2.: 2539.1 MH/s (96.36ms)
Hashtype: Django (SHA-1)
Speed.Dev.#2.: 2098.2 MH/s (96.67ms)
Hashtype: Django (PBKDF2-SHA256)
Speed.Dev.#2.: 17351 H/s (95.58ms)
Hashtype: Mediawiki B type
Speed.Dev.#2.: 1895.9 MH/s (96.22ms)
Hashtype: Redmine Project Management Web App
Speed.Dev.#2.: 636.9 MH/s (95.48ms)
Hashtype: PostgreSQL
Speed.Dev.#2.: 7246.0 MH/s (95.74ms)
Hashtype: MSSQL(2000)
Speed.Dev.#2.: 2571.0 MH/s (96.75ms)
Hashtype: MSSQL(2005)
Speed.Dev.#2.: 2570.8 MH/s (96.74ms)
Hashtype: MSSQL(2012)
Speed.Dev.#2.: 271.8 MH/s (95.90ms)
Hashtype: MySQL323
Speed.Dev.#2.: 15458.9 MH/s (34.45ms)
Hashtype: MySQL4.1/MySQL5
Speed.Dev.#2.: 1160.5 MH/s (94.69ms)
Hashtype: Oracle H: Type (Oracle 7+)
Speed.Dev.#2.: 115.8 MH/s (144.53ms)
Hashtype: Oracle S: Type (Oracle 11+)
Speed.Dev.#2.: 2596.5 MH/s (95.81ms)
Hashtype: Oracle T: Type (Oracle 12+)
Speed.Dev.#2.: 30686 H/s (96.17ms)
Hashtype: Sybase ASE
Speed.Dev.#2.: 98311.7 kH/s (92.99ms)
Hashtype: EPiServer 6.x < v4
Speed.Dev.#2.: 2130.4 MH/s (95.70ms)
Hashtype: EPiServer 6.x > v4
Speed.Dev.#2.: 765.6 MH/s (96.26ms)
Hashtype: md5apr1, MD5(APR), Apache MD5
Speed.Dev.#2.: 3071.8 kH/s (96.09ms)
Hashtype: ColdFusion 10+
Speed.Dev.#2.: 526.6 MH/s (95.24ms)
Hashtype: hMailServer
Speed.Dev.#2.: 763.2 MH/s (96.59ms)
Hashtype: SHA-1(Base64), nsldap, Netscape LDAP SHA
Speed.Dev.#2.: 2596.8 MH/s (95.77ms)
Hashtype: SSHA-1(Base64), nsldaps, Netscape LDAP SSHA
Speed.Dev.#2.: 2603.3 MH/s (95.54ms)
Hashtype: SSHA-512(Base64), LDAP {SSHA512}
Speed.Dev.#2.: 271.7 MH/s (95.87ms)
Hashtype: LM
Speed.Dev.#2.: 4549.1 MH/s (96.98ms)
Hashtype: NTLM
Speed.Dev.#2.: 12115.8 MH/s (95.88ms)
ERROR: clBuildProgram(): CL_BUILD_PROGRAM_FAILURE
<program source>:17:30: error: parameter may not be qualified with an address space
void m01100m (__local salt_t s_salt_buf[1], u32 w[16], const u32 pw_len, __global pw_t *pws, __global kernel_rule_t *rules_buf, __global comb_t *combs_buf, __constant u32x * words_buf_r, __global void *tmps, __global void *hooks, __global u32 *bitmaps_buf_s1_a, __global u32 *bitmaps_buf_s1_b, __global u32 *bitmaps_buf_s1_c, __global u32 *bitmaps_buf_s1_d, __global u32 *bitmaps_buf_s2_a, __global u32 *bitmaps_buf_s2_b, __global u32 *bitmaps_buf_s2_c, __global u32 *bitmaps_buf_s2_d, __global plain_t *plains_buf, __global digest_t *digests_buf, __global u32 *hashes_shown, __global salt_t *salt_bufs, __global void *esalt_bufs, __global u32 *d_return_buf, __global u32 *d_scryptV0_buf, __global u32 *d_scryptV1_buf, __global u32 *d_scryptV2_buf, __global u32 *d_scryptV3_buf, const u32 bitmap_mask, const u32 bitmap_shift1, const u32 bitmap_shift2, const u32 salt_pos, const u32 loop_pos, const u32 loop_cnt, const u32 il_cnt, const u32 digests_cnt, const u32 digests_offset)
^
<program source>:252:30: error: parameter may not be qualified with an address space
void m01100s (__local salt_t s_salt_buf[1], u32 w[16], const u32 pw_len, __global pw_t *pws, __global kernel_rule_t *rules_buf, __global comb_t *combs_buf, __constant u32x * words_buf_r, __global void *tmps, __global void *hooks, __global u32 *bitmaps_buf_s1_a, __global u32 *bitmaps_buf_s1_b, __global u32 *bitmaps_buf_s1_c, __global u32 *bitmaps_buf_s1_d, __global u32 *bitmaps_buf_s2_a, __global u32 *bitmaps_buf_s2_b, __global u32 *bitmaps_buf_s2_c, __global u32 *bitmaps_buf_s2_d, __global plain_t *plains_buf, __global digest_t *digests_buf, __global u32 *hashes_shown, __global salt_t *salt_bufs, __global void *esalt_bufs, __global u32 *d_return_buf, __global u32 *d_scryptV0_buf, __global u32 *d_scryptV1_buf, __global u32 *d_scryptV2_buf, __global u32 *d_scryptV3_buf, const u32 bitmap_mask, const u32 bitmap_shift1, const u32 bitmap_shift2, const u32 salt_pos, const u32 loop_pos, const u32 loop_cnt, const u32 il_cnt, const u32 digests_cnt, const u32 digests_offset)
^
Trace/BPT trap: 5
Specifically, the first 10 or so hashes on the list are 10x faster on the 650M than the 960. I posted the whole benchmark result for both (at least until it crashed).
The 650M is in a 2012 MBP, the 960 is in my Hackintosh desktop. Both running OSX 10.11 (El Capitan).
$ hashcat -b -d 3
hashcat (v3.10) starting in benchmark-mode...
OpenCL Platform #1: Apple
=========================
- Device #1: Intel(R) Core(TM) i7-3615QM CPU @ 2.30GHz, skipped
- Device #2: HD Graphics 4000, skipped
- Device #3: GeForce GT 650M, 128/512 MB allocatable, 2MCU
Hashtype: MD4
Speed.Dev.#3.: 1182.5 GH/s (0.22ms)
Hashtype: MD5
Speed.Dev.#3.: 919.3 GH/s (0.23ms)
Hashtype: Half MD5
Speed.Dev.#3.: 233.4 MH/s (95.84ms)
Hashtype: SHA1
Speed.Dev.#3.: 1789.6 GH/s (0.08ms)
Hashtype: SHA256
Speed.Dev.#3.: 1084.6 GH/s (0.08ms)
Hashtype: SHA384
Speed.Dev.#3.: 1602.6 GH/s (0.09ms)
Hashtype: SHA512
Speed.Dev.#3.: 1185.1 GH/s (0.09ms)
Hashtype: SHA-3(Keccak)
Speed.Dev.#3.: 2716.8 kH/s (93.93ms)
Hashtype: SipHash
Speed.Dev.#3.: 1551.7 GH/s (0.08ms)
Hashtype: RipeMD160
Speed.Dev.#3.: 62067.6 kH/s (95.61ms)
Hashtype: Whirlpool
Speed.Dev.#3.: 4093.1 kH/s (106.04ms)
Hashtype: GOST R 34.11-94
Speed.Dev.#3.: 9788.9 kH/s (163.27ms)
Hashtype: GOST R 34.11-2012 (Streebog) 256-bit
Speed.Dev.#3.: 1414.9 kH/s (116.92ms)
Hashtype: GOST R 34.11-2012 (Streebog) 512-bit
Speed.Dev.#3.: 1416.5 kH/s (116.81ms)
Hashtype: phpass, MD5(Wordpress), MD5(phpBB3), MD5(Joomla)
Speed.Dev.#3.: 105.7 kH/s (87.31ms)
Hashtype: scrypt
Speed.Dev.#3.: 14674 H/s (68.10ms)
Hashtype: PBKDF2-HMAC-MD5
Speed.Dev.#3.: 79614 H/s (87.20ms)
Hashtype: PBKDF2-HMAC-SHA1
Speed.Dev.#3.: 43071 H/s (88.86ms)
Hashtype: PBKDF2-HMAC-SHA256
Speed.Dev.#3.: 16834 H/s (92.04ms)
Hashtype: PBKDF2-HMAC-SHA512
Speed.Dev.#3.: 6961 H/s (93.27ms)
Hashtype: Skype
Speed.Dev.#3.: 223.1 MH/s (95.37ms)
Hashtype: WPA/WPA2
Speed.Dev.#3.: 5227 H/s (94.61ms)
Hashtype: IKE-PSK MD5
Speed.Dev.#3.: 19766.5 kH/s (94.20ms)
Hashtype: IKE-PSK SHA1
Speed.Dev.#3.: 10741.1 kH/s (94.82ms)
Hashtype: NetNTLMv1-VANILLA / NetNTLMv1+ESS
Speed.Dev.#3.: 78432.6 MH/s (6.46ms)
Hashtype: NetNTLMv2
Speed.Dev.#3.: 17132.6 kH/s (94.28ms)
Hashtype: IPMI2 RAKP HMAC-SHA1
Speed.Dev.#3.: 20600.2 kH/s (95.19ms)
Hashtype: Kerberos 5 AS-REQ Pre-Auth etype 23
Speed.Dev.#3.: 1541.0 kH/s (157.84ms)
Hashtype: Kerberos 5 TGS-REP etype 23
Speed.Dev.#3.: 1581.2 kH/s (144.86ms)
Hashtype: DNSSEC (NSEC3)
Speed.Dev.#3.: 41686.4 kH/s (95.48ms)
Hashtype: PostgreSQL Challenge-Response Authentication (MD5)
Speed.Dev.#3.: 114.2 MH/s (96.45ms)
Hashtype: MySQL Challenge-Response Authentication (SHA1)
Speed.Dev.#3.: 31880.7 kH/s (94.81ms)
Hashtype: SIP digest authentication (MD5)
Speed.Dev.#3.: 37987.1 kH/s (96.39ms)
Hashtype: SMF > v1.1
Speed.Dev.#3.: 96742.3 kH/s (95.83ms)
Hashtype: vBulletin < v3.8.5
Speed.Dev.#3.: 108.5 MH/s (96.27ms)
Hashtype: vBulletin > v3.8.5
Speed.Dev.#3.: 73597.6 kH/s (96.15ms)
Hashtype: IPB2+, MyBB1.2+
Speed.Dev.#3.: 78103.3 kH/s (95.99ms)
Hashtype: WBB3, Woltlab Burning Board 3
Speed.Dev.#3.: 16622.3 kH/s (96.07ms)
Hashtype: OpenCart
Speed.Dev.#3.: 25867.9 kH/s (97.01ms)
Hashtype: Joomla < 2.5.18
Speed.Dev.#3.: 1032.4 GH/s (0.09ms)
Hashtype: PHPS
Speed.Dev.#3.: 108.4 MH/s (97.01ms)
Hashtype: Drupal7
Speed.Dev.#3.: 919 H/s (95.08ms)
Hashtype: osCommerce, xt:Commerce
Speed.Dev.#3.: 223.4 MH/s (95.39ms)
Hashtype: PrestaShop
Speed.Dev.#3.: 122.7 MH/s (94.99ms)
Hashtype: Django (SHA-1)
Speed.Dev.#3.: 96802.8 kH/s (95.77ms)
Hashtype: Django (PBKDF2-SHA256)
Speed.Dev.#3.: 843 H/s (94.55ms)
Hashtype: Mediawiki B type
Speed.Dev.#3.: 62527.9 kH/s (96.07ms)
Hashtype: Redmine Project Management Web App
Speed.Dev.#3.: 30589.9 kH/s (96.08ms)
Hashtype: PostgreSQL
Speed.Dev.#3.: 1024.6 GH/s (0.08ms)
Hashtype: MSSQL(2000)
Speed.Dev.#3.: 1206.5 GH/s (0.09ms)
Hashtype: MSSQL(2005)
Speed.Dev.#3.: 1491.3 GH/s (0.09ms)
Hashtype: MSSQL(2012)
Speed.Dev.#3.: 430.2 GH/s (0.11ms)
ssh Hashtype: MySQL323
Speed.Dev.#3.: 282.6 GH/s (0.18ms)
Hashtype: MySQL4.1/MySQL5
Speed.Dev.#3.: 1073.7 GH/s (0.22ms)
Hashtype: Oracle H: Type (Oracle 7+)
Abort trap: 6
$ hashcat -b
hashcat (v3.10) starting in benchmark-mode...
OpenCL Platform #1: Apple
=========================
- Device #1: Intel(R) Core(TM) i5-6600K CPU @ 3.50GHz, skipped
- Device #2: GeForce GTX 960, 1024/4096 MB allocatable, 8MCU
Hashtype: MD4
Speed.Dev.#2.: 12531.6 MH/s (95.80ms)
Hashtype: MD5
Speed.Dev.#2.: 7230.3 MH/s (95.72ms)
Hashtype: Half MD5
Speed.Dev.#2.: 4470.6 MH/s (95.80ms)
Hashtype: SHA1
Speed.Dev.#2.: 2595.0 MH/s (95.83ms)
Hashtype: SHA256
Speed.Dev.#2.: 796.5 MH/s (96.15ms)
Hashtype: SHA384
Speed.Dev.#2.: 268.2 MH/s (96.31ms)
Hashtype: SHA512
Speed.Dev.#2.: 271.1 MH/s (96.14ms)
Hashtype: SHA-3(Keccak)
Speed.Dev.#2.: 19640.7 kH/s (53.10ms)
Hashtype: SipHash
Speed.Dev.#2.: 8886.9 MH/s (95.70ms)
Hashtype: RipeMD160
Speed.Dev.#2.: 1455.0 MH/s (94.77ms)
Hashtype: Whirlpool
Speed.Dev.#2.: 26389.2 kH/s (79.10ms)
Hashtype: GOST R 34.11-94
Speed.Dev.#2.: 76809.3 kH/s (189.53ms)
Hashtype: GOST R 34.11-2012 (Streebog) 256-bit
Speed.Dev.#2.: 15273.1 kH/s (207.27ms)
Hashtype: GOST R 34.11-2012 (Streebog) 512-bit
Speed.Dev.#2.: 15203.4 kH/s (208.14ms)
Hashtype: phpass, MD5(Wordpress), MD5(phpBB3), MD5(Joomla)
Speed.Dev.#2.: 2128.5 kH/s (95.74ms)
Hashtype: scrypt
Speed.Dev.#2.: 143.7 kH/s (27.54ms)
Hashtype: PBKDF2-HMAC-MD5
Speed.Dev.#2.: 2324.6 kH/s (95.95ms)
Hashtype: PBKDF2-HMAC-SHA1
Speed.Dev.#2.: 992.0 kH/s (80.84ms)
Hashtype: PBKDF2-HMAC-SHA256
Speed.Dev.#2.: 341.7 kH/s (84.57ms)
Hashtype: PBKDF2-HMAC-SHA512
Speed.Dev.#2.: 124.7 kH/s (78.07ms)
Hashtype: Skype
Speed.Dev.#2.: 4209.7 MH/s (95.84ms)
Hashtype: WPA/WPA2
Speed.Dev.#2.: 122.8 kH/s (91.51ms)
Hashtype: IKE-PSK MD5
Speed.Dev.#2.: 569.0 MH/s (96.41ms)
Hashtype: IKE-PSK SHA1
Speed.Dev.#2.: 228.6 MH/s (98.42ms)
Hashtype: NetNTLMv1-VANILLA / NetNTLMv1+ESS
Speed.Dev.#2.: 6822.2 MH/s (96.36ms)
Hashtype: NetNTLMv2
Speed.Dev.#2.: 523.6 MH/s (95.45ms)
Hashtype: IPMI2 RAKP HMAC-SHA1
Speed.Dev.#2.: 499.5 MH/s (95.87ms)
Hashtype: Kerberos 5 AS-REQ Pre-Auth etype 23
Speed.Dev.#2.: 87689.5 kH/s (105.61ms)
Hashtype: Kerberos 5 TGS-REP etype 23
Speed.Dev.#2.: 65210.6 kH/s (102.12ms)
Hashtype: DNSSEC (NSEC3)
Speed.Dev.#2.: 976.6 MH/s (95.50ms)
Hashtype: PostgreSQL Challenge-Response Authentication (MD5)
Speed.Dev.#2.: 2006.2 MH/s (95.78ms)
Hashtype: MySQL Challenge-Response Authentication (SHA1)
Speed.Dev.#2.: 703.9 MH/s (95.28ms)
Hashtype: SIP digest authentication (MD5)
Speed.Dev.#2.: 547.2 MH/s (97.46ms)
Hashtype: SMF > v1.1
Speed.Dev.#2.: 2097.5 MH/s (96.68ms)
Hashtype: vBulletin < v3.8.5
Speed.Dev.#2.: 2150.8 MH/s (95.82ms)
Hashtype: vBulletin > v3.8.5
Speed.Dev.#2.: 1449.7 MH/s (95.88ms)
Hashtype: IPB2+, MyBB1.2+
Speed.Dev.#2.: 1536.8 MH/s (96.36ms)
Hashtype: WBB3, Woltlab Burning Board 3
Speed.Dev.#2.: 382.3 MH/s (95.30ms)
Hashtype: OpenCart
Speed.Dev.#2.: 597.7 MH/s (95.45ms)
Hashtype: Joomla < 2.5.18
Speed.Dev.#2.: 7241.2 MH/s (95.75ms)
Hashtype: PHPS
Speed.Dev.#2.: 2148.7 MH/s (95.82ms)
Hashtype: Drupal7
Speed.Dev.#2.: 16820 H/s (96.16ms)
Hashtype: osCommerce, xt:Commerce
Speed.Dev.#2.: 4214.9 MH/s (95.78ms)
Hashtype: PrestaShop
Speed.Dev.#2.: 2539.1 MH/s (96.36ms)
Hashtype: Django (SHA-1)
Speed.Dev.#2.: 2098.2 MH/s (96.67ms)
Hashtype: Django (PBKDF2-SHA256)
Speed.Dev.#2.: 17351 H/s (95.58ms)
Hashtype: Mediawiki B type
Speed.Dev.#2.: 1895.9 MH/s (96.22ms)
Hashtype: Redmine Project Management Web App
Speed.Dev.#2.: 636.9 MH/s (95.48ms)
Hashtype: PostgreSQL
Speed.Dev.#2.: 7246.0 MH/s (95.74ms)
Hashtype: MSSQL(2000)
Speed.Dev.#2.: 2571.0 MH/s (96.75ms)
Hashtype: MSSQL(2005)
Speed.Dev.#2.: 2570.8 MH/s (96.74ms)
Hashtype: MSSQL(2012)
Speed.Dev.#2.: 271.8 MH/s (95.90ms)
Hashtype: MySQL323
Speed.Dev.#2.: 15458.9 MH/s (34.45ms)
Hashtype: MySQL4.1/MySQL5
Speed.Dev.#2.: 1160.5 MH/s (94.69ms)
Hashtype: Oracle H: Type (Oracle 7+)
Speed.Dev.#2.: 115.8 MH/s (144.53ms)
Hashtype: Oracle S: Type (Oracle 11+)
Speed.Dev.#2.: 2596.5 MH/s (95.81ms)
Hashtype: Oracle T: Type (Oracle 12+)
Speed.Dev.#2.: 30686 H/s (96.17ms)
Hashtype: Sybase ASE
Speed.Dev.#2.: 98311.7 kH/s (92.99ms)
Hashtype: EPiServer 6.x < v4
Speed.Dev.#2.: 2130.4 MH/s (95.70ms)
Hashtype: EPiServer 6.x > v4
Speed.Dev.#2.: 765.6 MH/s (96.26ms)
Hashtype: md5apr1, MD5(APR), Apache MD5
Speed.Dev.#2.: 3071.8 kH/s (96.09ms)
Hashtype: ColdFusion 10+
Speed.Dev.#2.: 526.6 MH/s (95.24ms)
Hashtype: hMailServer
Speed.Dev.#2.: 763.2 MH/s (96.59ms)
Hashtype: SHA-1(Base64), nsldap, Netscape LDAP SHA
Speed.Dev.#2.: 2596.8 MH/s (95.77ms)
Hashtype: SSHA-1(Base64), nsldaps, Netscape LDAP SSHA
Speed.Dev.#2.: 2603.3 MH/s (95.54ms)
Hashtype: SSHA-512(Base64), LDAP {SSHA512}
Speed.Dev.#2.: 271.7 MH/s (95.87ms)
Hashtype: LM
Speed.Dev.#2.: 4549.1 MH/s (96.98ms)
Hashtype: NTLM
Speed.Dev.#2.: 12115.8 MH/s (95.88ms)
ERROR: clBuildProgram(): CL_BUILD_PROGRAM_FAILURE
<program source>:17:30: error: parameter may not be qualified with an address space
void m01100m (__local salt_t s_salt_buf[1], u32 w[16], const u32 pw_len, __global pw_t *pws, __global kernel_rule_t *rules_buf, __global comb_t *combs_buf, __constant u32x * words_buf_r, __global void *tmps, __global void *hooks, __global u32 *bitmaps_buf_s1_a, __global u32 *bitmaps_buf_s1_b, __global u32 *bitmaps_buf_s1_c, __global u32 *bitmaps_buf_s1_d, __global u32 *bitmaps_buf_s2_a, __global u32 *bitmaps_buf_s2_b, __global u32 *bitmaps_buf_s2_c, __global u32 *bitmaps_buf_s2_d, __global plain_t *plains_buf, __global digest_t *digests_buf, __global u32 *hashes_shown, __global salt_t *salt_bufs, __global void *esalt_bufs, __global u32 *d_return_buf, __global u32 *d_scryptV0_buf, __global u32 *d_scryptV1_buf, __global u32 *d_scryptV2_buf, __global u32 *d_scryptV3_buf, const u32 bitmap_mask, const u32 bitmap_shift1, const u32 bitmap_shift2, const u32 salt_pos, const u32 loop_pos, const u32 loop_cnt, const u32 il_cnt, const u32 digests_cnt, const u32 digests_offset)
^
<program source>:252:30: error: parameter may not be qualified with an address space
void m01100s (__local salt_t s_salt_buf[1], u32 w[16], const u32 pw_len, __global pw_t *pws, __global kernel_rule_t *rules_buf, __global comb_t *combs_buf, __constant u32x * words_buf_r, __global void *tmps, __global void *hooks, __global u32 *bitmaps_buf_s1_a, __global u32 *bitmaps_buf_s1_b, __global u32 *bitmaps_buf_s1_c, __global u32 *bitmaps_buf_s1_d, __global u32 *bitmaps_buf_s2_a, __global u32 *bitmaps_buf_s2_b, __global u32 *bitmaps_buf_s2_c, __global u32 *bitmaps_buf_s2_d, __global plain_t *plains_buf, __global digest_t *digests_buf, __global u32 *hashes_shown, __global salt_t *salt_bufs, __global void *esalt_bufs, __global u32 *d_return_buf, __global u32 *d_scryptV0_buf, __global u32 *d_scryptV1_buf, __global u32 *d_scryptV2_buf, __global u32 *d_scryptV3_buf, const u32 bitmap_mask, const u32 bitmap_shift1, const u32 bitmap_shift2, const u32 salt_pos, const u32 loop_pos, const u32 loop_cnt, const u32 il_cnt, const u32 digests_cnt, const u32 digests_offset)
^
Trace/BPT trap: 5
↧
Wordlist of phrases
Hello everyone,
I'm interested in creating phrases from a given text, for example:
So, if we're interested in a phrase long 7 words, we will create the following password candidates:
I was going to code the script for this, but before starting I have a couple of questions:
I'm interested in creating phrases from a given text, for example:
Code:
In the beginning God created the heaven and the earth.
And the earth was without form, and void; and darkness was upon the face of the deep. And the Spirit of God moved upon the face of the waters.Code:
In the beginning God created the heaven
the beginning God created the heaven and
beginning God created the heaven and the
God created the heaven and the earthI was going to code the script for this, but before starting I have a couple of questions:
- There already is something like that (I really don't want to reinvent the wheel)
- Is that really helpful? My aim is to crack some impossible long but "easy" passwords, before throwing the towel
↧
↧
what are your thoughts on these hardware options
Found these options
both split a pcie x4 to 4 pcie x16 slots.
Somewhere on the forum some one mentioned x1 might not be optimal for all recovery options. wonder if x4 would be ideal
http://amfeltec.com/products/flexible-x4...-oriented/
http://amfeltec.com/products/gpu-oriented-cluster/
both are a bit hackish but in theory should work. I requested a price quote for the cluster option
both split a pcie x4 to 4 pcie x16 slots.
Somewhere on the forum some one mentioned x1 might not be optimal for all recovery options. wonder if x4 would be ideal
http://amfeltec.com/products/flexible-x4...-oriented/
http://amfeltec.com/products/gpu-oriented-cluster/
both are a bit hackish but in theory should work. I requested a price quote for the cluster option
↧
One or none mask?
Is there a way to get a mask that finds both: "firstsecond" and "first second"?
And more generally: firstsecond, first-second, first second, first.second etc..
And more generally: firstsecond, first-second, first second, first.second etc..
↧
Uppler & Lower specific char?
Is there a way to write a mask that will find both upper and lower case versions of a specific char without creating a -1 aA charset?
Eg. firstsecondthrid, Firstsecondthird, firstSecondthird, etc. with [Ff]irst[Ss]econd[Tt]hird.
Eg. firstsecondthrid, Firstsecondthird, firstSecondthird, etc. with [Ff]irst[Ss]econd[Tt]hird.
↧