cudaHashCat64 on AWS EC2 - Printable Version +- hashcat Forum (https://hashcat.net/forum) +-- Forum: Misc (https://hashcat.net/forum/forum-15.html) +--- Forum: User Contributions (https://hashcat.net/forum/forum-25.html) +--- Thread: cudaHashCat64 on AWS EC2 (/thread-4143.html) Pages:
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cudaHashCat64 on AWS EC2 - Radical_Ronin - 03-02-2015 Hey All, Worked on a fun project and thought this may help someone else out who's looking for some serious hardware to crack on. Theres a couple of other guides out there but they are pretty out dated and some of the AMIs dont even work any more. As a side note, there is no way to monitor your GPU cleanly through the AWS console, but you can push custom metrics with CloudWatch. It will take some custom scripting and i'm not the best at virualization layers. I'm also just getting into hashcat, so I apologize if the test is not tuned. STEPS: 1. Sign up for AWS, check your wallet and make sure you have enough funds to run a g2.2xlarge You can find pricing here: 2. Launch an Amazon Linux AMI (the one I used was ami-146e2a7c) using the g2.2xlarge and configure whatever else you want on the instance (storage, tag, etc). 3. Run a "sudo yum update" 4. Run "lspci" to check the host info: lspci 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma] (rev 02) 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II] 00:01.1 IDE interface: Intel Corporation 82371SB PIIX3 IDE [Natoma/Triton II] 00:01.3 Bridge: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 01) 00:02.0 VGA compatible controller: Cirrus Logic GD 5446 00:03.0 VGA compatible controller: NVIDIA Corporation GK104GL [GRID K520] (rev a1) 00:1f.0 Unassigned class [ff80]: XenSource, Inc. Xen Platform Device (rev 01) Used this line to find the hardware info: 00:03.0 VGA compatible controller: NVIDIA Corporation GK104GL [GRID K520] (rev a1) 5. Downloaded the driver from Nvidia: wget https://us.download.nvidia.com/XFree86/Linux-x86_64/346.35/NVIDIA-Linux-x86_64-346.35.run 6. Change the permissions: chmod +x NVIDIA-Linux-x86_64-346.35.run 7. NOTE: I originally had to do a yum install kernel* to get this to work, but later after trying it again on another instance, I did not need to. yum install kernel* reboot 8. Install dev tools: yum groupinstall development tools 9. Install Nvidia drivers: ./NVIDIA-Linux-x86_64-346.35.run 10. Edit yum.repos.d to add some repos in on Amazon Linux: nano /etc/yum.repos.d/ Modify /etc/yum.repos.d/epel.repo. Under the section marked [epel], change enabled=0 to enabled=1. 11. Install p7zip: yum install p7zip 12: Grab hashcat: wget https://hashcat.net/files/cudaHashcat-1.33.7z 13: Unzip: 7za x cudaHashcat-1.33.7z Once that was done I ran a benchmark just to test. BENCHMARK: cudaHashcat v1.33 starting in benchmark-mode... Device #1: GRID K520, 4095MB, 797Mhz, 8MCU Hashtype: MD4 Workload: 1024 loops, 256 accel Speed.GPU.#1.: 4003.8 MH/s Hashtype: MD5 Workload: 1024 loops, 256 accel Speed.GPU.#1.: 2501.7 MH/s Hashtype: SHA1 Workload: 1024 loops, 256 accel Speed.GPU.#1.: 688.3 MH/s Hashtype: SHA256 Workload: 1024 loops, 256 accel Speed.GPU.#1.: 296.4 MH/s Hashtype: SHA384 Workload: 256 loops, 256 accel Speed.GPU.#1.: 71293.0 kH/s Hashtype: SHA512 Workload: 256 loops, 256 accel Speed.GPU.#1.: 71354.4 kH/s Hashtype: SHA-3(Keccak) Workload: 128 loops, 32 accel Speed.GPU.#1.: 69719.9 kH/s Hashtype: RipeMD160 Workload: 1024 loops, 256 accel Speed.GPU.#1.: 493.6 MH/s Hashtype: Whirlpool Workload: 512 loops, 256 accel Speed.GPU.#1.: 52330.1 kH/s Hashtype: GOST R 34.11-94 Workload: 512 loops, 256 accel Speed.GPU.#1.: 42608.3 kH/s Hashtype: SAP CODVN B (BCODE) Workload: 1024 loops, 256 accel Speed.GPU.#1.: 228.5 MH/s Hashtype: SAP CODVN F/G (PASSCODE) Workload: 1024 loops, 32 accel Speed.GPU.#1.: 105.8 MH/s Hashtype: SAP CODVN H (PWDSALTEDHASH) iSSHA-1 Workload: 1024 loops, 16 accel Speed.GPU.#1.: 602.6 kH/s Hashtype: Lotus Notes/Domino 5 Workload: 256 loops, 32 accel Speed.GPU.#1.: 27998.6 kH/s Hashtype: Lotus Notes/Domino 6 Workload: 256 loops, 32 accel Speed.GPU.#1.: 9213.8 kH/s Hashtype: Lotus Notes/Domino 8 Workload: 5000 loops, 64 accel Speed.GPU.#1.: 72334 H/s Hashtype: SHA-1(Base64), nsldap, Netscape LDAP SHA Workload: 1024 loops, 256 accel Speed.GPU.#1.: 688.2 MH/s Hashtype: SSHA-1(Base64), nsldaps, Netscape LDAP SSHA Workload: 1024 loops, 256 accel Speed.GPU.#1.: 688.2 MH/s Hashtype: descrypt, DES(Unix), Traditional DES Workload: 128 loops, 256 accel Speed.GPU.#1.: 24213.2 kH/s Hashtype: md5crypt, MD5(Unix), FreeBSD MD5, Cisco-IOS MD5 Workload: 1000 loops, 32 accel Speed.GPU.#1.: 1277.3 kH/s Hashtype: sha256crypt, SHA256(Unix) Workload: 5000 loops, 4 accel Speed.GPU.#1.: 43965 H/s Hashtype: sha512crypt, SHA512(Unix) Workload: 5000 loops, 8 accel Speed.GPU.#1.: 13402 H/s Hashtype: bcrypt, Blowfish(OpenBSD) Workload: 32 loops, 2 accel Speed.GPU.#1.: 501 H/s Hashtype: LM Workload: 1024 loops, 256 accel Speed.GPU.#1.: 294.3 MH/s Hashtype: Oracle 11g/12c Workload: 1024 loops, 256 accel Speed.GPU.#1.: 687.8 MH/s Hashtype: NTLM Workload: 1024 loops, 256 accel Speed.GPU.#1.: 4002.9 MH/s Hashtype: DCC, mscash Workload: 1024 loops, 256 accel Speed.GPU.#1.: 1183.6 MH/s Hashtype: NetNTLMv1-VANILLA / NetNTLMv1+ESS Workload: 1024 loops, 256 accel Speed.GPU.#1.: 1605.2 MH/s Hashtype: NetNTLMv2 Workload: 1024 loops, 256 accel Speed.GPU.#1.: 179.6 MH/s Hashtype: Kerberos 5 AS-REQ Pre-Auth etype 23 Workload: 256 loops, 32 accel Speed.GPU.#1.: 6156.8 kH/s Hashtype: EPiServer 6.x < v4 Workload: 512 loops, 256 accel Speed.GPU.#1.: 362.7 MH/s Hashtype: EPiServer 6.x > v4 Workload: 512 loops, 256 accel Speed.GPU.#1.: 273.1 MH/s Hashtype: MSSQL(2000) Workload: 512 loops, 256 accel Speed.GPU.#1.: 672.4 MH/s Hashtype: MSSQL(2005) Workload: 512 loops, 256 accel Speed.GPU.#1.: 672.1 MH/s Hashtype: MSSQL(2012) Workload: 256 loops, 256 accel Speed.GPU.#1.: 71021.7 kH/s Hashtype: MySQL323 Workload: 512 loops, 256 accel Speed.GPU.#1.: 8386.5 MH/s Hashtype: MySQL4.1/MySQL5 Workload: 512 loops, 256 accel Speed.GPU.#1.: 326.2 MH/s Hashtype: Oracle 7-10g Workload: 512 loops, 32 accel Speed.GPU.#1.: 115.8 MH/s Hashtype: Sybase ASE Workload: 512 loops, 32 accel Speed.GPU.#1.: 32923.7 kH/s Hashtype: Oracle 11g/12c Workload: 1024 loops, 256 accel Speed.GPU.#1.: 688.1 MH/s Hashtype: OSX v10.4, v10.5, v10.6 Workload: 512 loops, 256 accel Speed.GPU.#1.: 362.7 MH/s Hashtype: OSX v10.7 Workload: 128 loops, 256 accel Speed.GPU.#1.: 68623.2 kH/s Hashtype: OSX v10.8 / v10.9 Workload: 35000 loops, 2 accel Speed.GPU.#1.: 827 H/s Hashtype: Android PIN Workload: 1024 loops, 16 accel Speed.GPU.#1.: 612.3 kH/s Hashtype: Android FDE <= 4.3 Workload: 2000 loops, 32 accel Speed.GPU.#1.: 87108 H/s Hashtype: scrypt Workload: 1 loops, 64 accel Speed.GPU.#1.: 25146 H/s Hashtype: Cisco-PIX MD5 Workload: 1024 loops, 256 accel Speed.GPU.#1.: 1894.4 MH/s Hashtype: Cisco-ASA MD5 Workload: 1024 loops, 256 accel Speed.GPU.#1.: 1911.4 MH/s Hashtype: Cisco-IOS SHA256 Workload: 1024 loops, 256 accel Speed.GPU.#1.: 296.3 MH/s Hashtype: Cisco $8$ Workload: 20000 loops, 8 accel Speed.GPU.#1.: 5866 H/s Hashtype: Cisco $9$ Workload: 1 loops, 4 accel Speed.GPU.#1.: 939 H/s Hashtype: Juniper IVE Workload: 1000 loops, 32 accel Speed.GPU.#1.: 1276.1 kH/s Hashtype: Citrix NetScaler Workload: 512 loops, 256 accel Speed.GPU.#1.: 763.6 MH/s Hashtype: DNSSEC (NSEC3) Workload: 512 loops, 256 accel Speed.GPU.#1.: 343.5 MH/s Hashtype: WPA/WPA2 Workload: 4096 loops, 32 accel Speed.GPU.#1.: 42815 H/s Hashtype: IKE-PSK MD5 Workload: 512 loops, 32 accel Speed.GPU.#1.: 204.4 MH/s Hashtype: IKE-PSK SHA1 Workload: 512 loops, 32 accel Speed.GPU.#1.: 74340.2 kH/s Hashtype: Password Safe v2 Workload: 1000 loops, 16 accel Speed.GPU.#1.: 10326 H/s Hashtype: Password Safe v3 Workload: 2048 loops, 16 accel Speed.GPU.#1.: 117.8 kH/s Hashtype: 1Password, agilekeychain Workload: 1000 loops, 64 accel Speed.GPU.#1.: 357.2 kH/s Hashtype: 1Password, cloudkeychain Workload: 40000 loops, 2 accel Speed.GPU.#1.: 719 H/s Hashtype: AIX {ssha1} Workload: 64 loops, 128 accel Speed.GPU.#1.: 4406.1 kH/s Hashtype: TrueCrypt 5.0+ PBKDF2-HMAC-RipeMD160 + AES Workload: 2000 loops, 64 accel Speed.GPU.#1.: 118.8 kH/s Hashtype: TrueCrypt 5.0+ PBKDF2-HMAC-SHA512 + AES Workload: 1000 loops, 16 accel Speed.GPU.#1.: 33061 H/s Hashtype: TrueCrypt 5.0+ PBKDF2-HMAC-Whirlpool + AES Workload: 1000 loops, 8 accel Speed.GPU.#1.: 6018 H/s Hashtype: TrueCrypt 5.0+ PBKDF2-HMAC-RipeMD160 + AES + boot-mode Workload: 1000 loops, 64 accel Speed.GPU.#1.: 234.9 kH/s Hashtype: Office 2007 Workload: 50000 loops, 32 accel Speed.GPU.#1.: 14264 H/s Hashtype: Office 2010 Workload: 100000 loops, 32 accel Speed.GPU.#1.: 7146 H/s Hashtype: Office 2013 Workload: 100000 loops, 4 accel Speed.GPU.#1.: 696 H/s Hashtype: MS Office <= 2003 MD5 + RC4, oldoffice$0, oldoffice$1 Workload: 1024 loops, 32 accel Speed.GPU.#1.: 6149.4 kH/s Hashtype: MS Office <= 2003 SHA1 + RC4, oldoffice$3, oldoffice$4 Workload: 1024 loops, 32 accel Speed.GPU.#1.: 8644.6 kH/s Hashtype: PDF 1.1 - 1.3 (Acrobat 2 - 4) Workload: 1024 loops, 32 accel Speed.GPU.#1.: 0 H/s Hashtype: PDF 1.1 - 1.3 (Acrobat 2 - 4) + collider-mode #1 Workload: 1024 loops, 32 accel Speed.GPU.#1.: 0 H/s Hashtype: PDF 1.1 - 1.3 (Acrobat 2 - 4) + collider-mode #2 Workload: 1024 loops, 32 accel Speed.GPU.#1.: 385.6 MH/s Hashtype: PDF 1.4 - 1.6 (Acrobat 5 - 8) Workload: 70 loops, 256 accel Speed.GPU.#1.: 36419 H/s Hashtype: PDF 1.7 Level 3 (Acrobat 9) Workload: 1024 loops, 256 accel Speed.GPU.#1.: 296.4 MH/s Hashtype: PDF 1.7 Level 8 (Acrobat 10 - 11) Workload: 64 loops, 8 accel Speed.GPU.#1.: 3769 H/s Hashtype: Drupal7 Workload: 16384 loops, 8 accel Speed.GPU.#1.: 4258 H/s Hashtype: HMAC-MD5 (key = $pass) Workload: 512 loops, 256 accel Speed.GPU.#1.: 247.2 MH/s Hashtype: HMAC-MD5 (key = $salt) Workload: 512 loops, 256 accel Speed.GPU.#1.: 545.4 MH/s Hashtype: HMAC-SHA1 (key = $pass) Workload: 256 loops, 256 accel Speed.GPU.#1.: 81708.7 kH/s Hashtype: HMAC-SHA1 (key = $salt) Workload: 256 loops, 256 accel Speed.GPU.#1.: 165.8 MH/s Hashtype: HMAC-SHA256 (key = $pass) Workload: 128 loops, 128 accel Speed.GPU.#1.: 58958.2 kH/s Hashtype: HMAC-SHA256 (key = $salt) Workload: 128 loops, 128 accel Speed.GPU.#1.: 117.3 MH/s Hashtype: HMAC-SHA512 (key = $pass) Workload: 128 loops, 128 accel Speed.GPU.#1.: 16953.4 kH/s Hashtype: HMAC-SHA512 (key = $salt) Workload: 128 loops, 128 accel Speed.GPU.#1.: 33909.5 kH/s Hashtype: IPMI2 RAKP HMAC-SHA1 Workload: 256 loops, 256 accel Speed.GPU.#1.: 176.1 MH/s Hashtype: Half MD5 Workload: 1024 loops, 256 accel Speed.GPU.#1.: 1650.1 MH/s Hashtype: Double MD5 Workload: 1024 loops, 256 accel Speed.GPU.#1.: 737.9 MH/s Hashtype: GRUB 2 Workload: 10000 loops, 2 accel Speed.GPU.#1.: 2860 H/s Hashtype: phpass, MD5(Wordpress), MD5(phpBB3), MD5(Joomla) Workload: 2048 loops, 32 accel Speed.GPU.#1.: 672.5 kH/s Hashtype: SipHash Workload: 1024 loops, 256 accel Speed.GPU.#1.: 3281.4 MH/s Hashtype: Joomla < 2.5.18 Workload: 1024 loops, 256 accel Speed.GPU.#1.: 2503.7 MH/s Hashtype: osCommerce, xt:Commerce Workload: 1024 loops, 256 accel Speed.GPU.#1.: 782.2 MH/s Hashtype: IPB2+, MyBB1.2+ Workload: 1024 loops, 256 accel Speed.GPU.#1.: 472.6 MH/s Hashtype: vBulletin < v3.8.5 Workload: 1024 loops, 256 accel Speed.GPU.#1.: 738.9 MH/s Hashtype: PHPS Workload: 1024 loops, 256 accel Speed.GPU.#1.: 738.9 MH/s Hashtype: vBulletin > v3.8.5 Workload: 1024 loops, 256 accel Speed.GPU.#1.: 454.5 MH/s Hashtype: SMF > v1.1 Workload: 512 loops, 256 accel Speed.GPU.#1.: 362.8 MH/s Started: Mon Mar 2 15:55:43 2015 Stopped: Mon Mar 2 16:21:54 2015 RE: cudaHashCat64 on AWS EC2 - epixoip - 03-03-2015 K520 is 5.3x slower than a GTX 970 and 6x slower than a GTX 980, so probably not worth the cost. RE: cudaHashCat64 on AWS EC2 - Radical_Ronin - 03-03-2015 (03-03-2015, 12:13 AM)epixoip Wrote: K520 is 5.3x slower than a GTX 970 and 6x slower than a GTX 980, so probably not worth the cost. For sure, just a small project I was working on. It's hard to beat the almost $0 startup cost. I can pay for several hundred hours for the same costs that it would take to start up something on my own (in a fraction of the time). But agreed, in the long run, may not be worth it especially if the AWS cloud can not keep up with top end equipment. RE: cudaHashCat64 on AWS EC2 - shodan - 03-05-2015 Hm.. speed WPA is similar Nvidia GTX 750 Ti Price per hour g2.2xlarge - $0.650 Price for "hardware" Nvidia GTX 750 Ti - ~140$ Quote:can pay for several hundred hours for the same costs140$/0.65$ = 215 hours = 9 days use EC2 g2.2xlarge is equal by price EVGA GeForce GTX 750Ti I say yes. But if you buy "hardware card" you can use it again and again with no any additional costs. (except pay for electricity) if i use 4 instanse g2.2xlarge on 10 days it take avg 168 kH/s and 0.65$ * 4 instance * 24 hours * 10 days =624$ !!! WOW! better choice buy two GTX970 ! it take avg 230 kH/s and almost unlimited lifetime! If you get tired, you always can sell your old GTX in the second hand(eBay) for reduce losses. Unfortunately bruteforce never been "small project" it always long time computing tasks. RE: cudaHashCat64 on AWS EC2 - vladimir125 - 03-09-2015 just as a side note, I played with AWS a little, too. Did you get any issues while downloading oclHashcat from the site? I saw that, if I don't put any speed limit to the wget command, the site will drop the connection. Maybe there's a protection vs bot downloading? Finally, if you only work with "Spot instances", the price by hour is 0.065 $ (6c and half), so it's really cheap even if not very powerful. RE: cudaHashCat64 on AWS EC2 - cremefraiche - 05-12-2015 As of right now, I can get a g2.8xlarge spot instance for <$0.3/hr in my area. Thanks for the tut, btw, it's exactly what I was looking for. Only change is in hashcat version, but that was a simple fix. s/1.33.7z/1.36.7z/ This is a single g2.8xlarge instance. cudaHashcat v1.36 starting in benchmark-mode... Device #1: GRID K520, 4095MB, 797Mhz, 8MCU Device #2: GRID K520, 4095MB, 797Mhz, 8MCU Device #3: GRID K520, 4095MB, 797Mhz, 8MCU Device #4: GRID K520, 4095MB, 797Mhz, 8MCU Hashtype: MD4 Workload: 1024 loops, 256 accel Speed.GPU.#1.: 3983.6 MH/s Speed.GPU.#2.: 3987.5 MH/s Speed.GPU.#3.: 3983.5 MH/s Speed.GPU.#4.: 3986.5 MH/s Speed.GPU.#*.: 15941.1 MH/s Hashtype: MD5 Workload: 1024 loops, 256 accel Speed.GPU.#1.: 2494.8 MH/s Speed.GPU.#2.: 2495.5 MH/s Speed.GPU.#3.: 2494.7 MH/s Speed.GPU.#4.: 2496.2 MH/s Speed.GPU.#*.: 9981.2 MH/s Hashtype: SHA1 Workload: 1024 loops, 256 accel Speed.GPU.#1.: 688.7 MH/s Speed.GPU.#2.: 688.3 MH/s Speed.GPU.#3.: 688.7 MH/s Speed.GPU.#4.: 688.4 MH/s Speed.GPU.#*.: 2754.0 MH/s Hashtype: SHA256 Workload: 1024 loops, 256 accel Speed.GPU.#1.: 296.3 MH/s Speed.GPU.#2.: 296.3 MH/s Speed.GPU.#3.: 296.2 MH/s Speed.GPU.#4.: 296.3 MH/s Speed.GPU.#*.: 1185.0 MH/s RE: cudaHashCat64 on AWS EC2 - epixoip - 05-12-2015 Those speeds are so dismal RE: cudaHashCat64 on AWS EC2 - cremefraiche - 05-12-2015 (05-12-2015, 04:49 PM)epixoip Wrote: Those speeds are so dismal For 30 cents to run a small analysis, I'm happy EDIT: Also, getting 240GB SSD storage and a 10GiB port is nice too RE: cudaHashCat64 on AWS EC2 - KT819GM - 05-12-2015 It's not the same to have virtual machine than real hardware on hand. To tell otherwise is same like to shout about having hot night with inflatable woman. Your g2.8xlarge speed's lower than HD5970 which was released in ~2009 so not so nice. RE: cudaHashCat64 on AWS EC2 - cremefraiche - 05-13-2015 (05-12-2015, 09:18 PM)KT819GM Wrote: It's not the same to have virtual machine than real hardware on hand. To tell otherwise is same like to shout about having hot night with inflatable woman. Your g2.8xlarge speed's lower than HD5970 which was released in ~2009 so not so nice. Perhaps I should explain.. I am not claiming that a g2.8xlarge EC2 instance is a viable alternative to hashing with modern GPUs. I am painfully aware that there is more up-to-date hardware out there. However, for my purposes it is a completely acceptable, and in fact the only, alternative I have. My goal is not to crack the password to the Gibson, rather, spend an hour here and there testing projects that integrate networking. Perhaps spend an occasional weekend flipping bits. Being a broke infosec undergrad, I do not have the money to drop on new hardware, and I won't any time in the next couple of years. Finally I realize I can spend 10min crunching wordlists that would have taken days on my laptop, and for less than the money that is floating around my floorboard. As a student, this has been an outstandingly helpful self-guided primer in cudaHashcat. I plan to use spot instances in the future for other small projects. So as far as education goes, yes. Very nice. |