{"id":734,"date":"2012-06-08T19:38:41","date_gmt":"2012-06-08T18:38:41","guid":{"rendered":"http:\/\/www.phillips321.co.uk\/?p=734"},"modified":"2012-06-08T19:48:44","modified_gmt":"2012-06-08T18:48:44","slug":"eharmony-gpu-hash-cracking-and-pipal-analysis","status":"publish","type":"post","link":"https:\/\/www.phillips321.co.uk\/2012\/06\/08\/eharmony-gpu-hash-cracking-and-pipal-analysis\/","title":{"rendered":"eHarmony GPU hash cracking and pipal analysis"},"content":{"rendered":"

So Linkedin hashes<\/a> have recently been leaked onto the net, and plenty of people have been cracking them. Meanwhile eHarymony<\/a> passwords were also leaked!<\/p>\n

The hashes are here<\/a> and a quick download is all thats needed. wget them to prevent your browser from trying to render the entire txt file!<\/em><\/p>\n

Throwing a dictionary at it with 80,546,115 words in it results in 22% cracked passwords.<\/p>\n

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<\/div><\/td>
$ .\/oclHashcat-plus64.bin eharmony.txt -r rules\/best64.rule \/wordlists\/all -o eharmony_cracked.txt
\noclHashcat-plus v0.08 by atom starting...
\nHashes: 1513805
\nUnique digests: 1513805
\nBitmaps: 21 bits, 1048576 entries, 0x000fffff mask, 4194304 bytes
\nRules: 78
\nGPU-Loops: 128
\nGPU-Accel: 40
\nPassword lengths range: 1 - 15
\nPlatform: AMD compatible platform found
\nWatchdog: Temperature limit set to 90c
\nDevice #1: Cayman, 2048MB, 0Mhz, 22MCU
\nDevice #1: Allocating 132MB host-memory
\nDevice #1: Kernel .\/kernels\/4098\/m0000_a0.Cayman.64.kernel (1017600 bytes)
\nScanning dictionary \/wordlists\/all: 1047584 bytes (0.11%), 95282 words, 743Scanning dictionary \/wordlists\/all: 142470999 bytes (14.73%), 14334904 wordScanning dictionary \/wordlists\/all: 774778437 bytes (80.13%), 70419646 wordScanned dictionary \/wordlists\/all: 966941733 bytes, 80546115 words, 6282596970 keyspace, starting attack...
\n[s]tatus [p]ause [r]esume [q]uit =>
\nStatus.......: Exhausted
\nRules.Type...: File (rules\/best64.rule)
\nInput.Mode...: File (\/wordlists\/all)
\nHash.Target..: File (eharmony.txt)
\nHash.Type....: MD5
\nTime.Running.: 1 min, 47 secs
\nTime.Left....: 0 secs
\nTime.Util....: 107586.1ms\/8581.7ms Real\/CPU, 8.7% idle
\nSpeed........: 49834.4k c\/s Real,   340.2M c\/s GPU
\nRecovered....: 336064\/1513805 Digests, 0\/1 Salts
\nProgress.....: 6282596970\/6282596970 (100.00%)
\nRejected.....: 921106758\/6282596970 (14.66%)
\nHW.Monitor.#1: 25% GPU, 47c Temp
\nStarted: Fri Jun  8 17:05:58 2012
\nStopped: Fri Jun  8 17:07:49 2012<\/div><\/td><\/tr><\/tbody><\/table><\/div>\n

From a quick look of the passwords being cracked it looks as though they are all being coverted to UPPERCASE before the MD5 hashing algorithm is being applied:<\/p>\n

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<\/div><\/td>
a8c8b4a90fe6388ab0186cd91d9a3310:UDDUDD
\n2a79fe3deb34c778e8e314f7c0635e10:KLEMENTE
\n0a49a8273be7d92c430c94bb328b5f10:1ODONOVAN
\n2987d667ca22e84d938a76a4e225b410:DKADKA
\n77044ebe74a1164c392698919901be10:CASILLAS77
\nd73b2f64cc4c5b7f0ff0b4b567e2cc10:RSLARSLA
\ned244698bd3b0dc29337e95cd502d310:VINSKY
\ndc8d30ee20d2efc2ac184c209709dd10:LINETA
\n94587c0c5a469a4c207d1ed35d12e910:BADGURL1
\n45331b07c71001234a40134745294911:TMATMA
\nb26cd6bfa5539103141a1ea5d91b4a11:C0L0MBIA
\n35463970c55f5a60a18bae9fa3724b11:WEBSTAR1
\n5faccfde0e3af22471822dcb8f3c4f11:KUSUMO
\ncf10578cf078d9995d79dd2144425111:KOTIKI
\nc4b6d73f5e120f9df38105d720b67411:BIMANN
\n15e78a2ae1141216487bcaeb51808711:GUEGUE
\nfb808931d19048b6bbdde175a3d18c11:GADOSKI
\n27de447ce1e241ec30e2aa02cb48a011:HEINI1
\n4ed25db987dd34c57e72715dec73c711:MAGODEOZ1
\nbae3b18c16de4c373c7653ebf9caf011:DRILLING12<\/div><\/td><\/tr><\/tbody><\/table><\/div>\n

Using this I’m going to attempt a bruteforce 8 character attack using UPPERCASE and digits to see how well it does (minimum password length of 5chars). We’ll need to run the brute force for each length 5-8 so we’ll do the following:<\/p>\n

    \n
  • -1 ?u?d ?1?1?1?1?1 (5 chars)<\/li>\n
  • -1 ?u?d ?1?1?1?1?1?1 (6 chars)<\/li>\n
  • -1 ?u?d ?1?1?1?1?1?1?1 (7 chars)<\/li>\n
  • -1 ?u?d ?1?1?1?1?1?1?1?1 (8 chars)<\/li>\n<\/ul>\n

    The 8 char length took 51 minutes on my PC (left GPU at no more than 90% so that PC was still useable)<\/p>\n

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    <\/div><\/td>
    ---------- 5 char ---------
    \nStatus.......: Exhausted
    \nInput.Mode...: Mask (?1?1?1?1?1)
    \nHash.Target..: File (eharmony.txt)
    \nHash.Type....: MD5
    \nTime.Running.: 13 secs
    \nTime.Left....: 0 secs
    \nTime.Util....: 13013.2ms\/14.4ms Real\/CPU, 0.1% idle
    \nSpeed........:  4646.5k c\/s Real,  4886.3k c\/s GPU
    \nRecovered....: 46587\/1513805 Digests, 0\/1 Salts
    \nProgress.....: 60466176\/60466176 (100.00%)
    \nRejected.....: 0\/60466176 (0.00%)
    \nHW.Monitor.#1: 16% GPU, 48c Temp
    \n---------- 6 char ---------
    \nStatus.......: Exhausted
    \nInput.Mode...: Mask (?1?1?1?1?1?1)
    \nHash.Target..: File (eharmony.txt)
    \nHash.Type....: MD5
    \nTime.Running.: 1 min, 11 secs
    \nTime.Left....: 0 secs
    \nTime.Util....: 71149.9ms\/13.4ms Real\/CPU, 0.0% idle
    \nSpeed........: 30594.3k c\/s Real, 17782.3k c\/s GPU
    \nRecovered....: 253159\/1513805 Digests, 0\/1 Salts
    \nProgress.....: 2176782336\/2176782336 (100.00%)
    \nRejected.....: 0\/2176782336 (0.00%)
    \nHW.Monitor.#1:  0% GPU, 48c Temp
    \n---------- 7 char ---------
    \nStatus.......: Exhausted
    \nInput.Mode...: Mask (?1?1?1?1?1?1?1)
    \nHash.Target..: File (eharmony.txt)
    \nHash.Type....: MD5
    \nTime.Running.: 3 mins, 41 secs
    \nTime.Left....: 0 secs
    \nTime.Util....: 221940.9ms\/13.9ms Real\/CPU, 0.0% idle
    \nSpeed........:   353.1M c\/s Real,   286.8M c\/s GPU
    \nRecovered....: 279715\/1513805 Digests, 0\/1 Salts
    \nProgress.....: 78364164096\/78364164096 (100.00%)
    \nRejected.....: 0\/78364164096 (0.00%)
    \nHW.Monitor.#1: 33% GPU, 52c Temp
    \n---------- 8 char ---------
    \nStatus.......: Exhausted
    \nInput.Mode...: Mask (?1?1?1?1?1?1?1?1)
    \nHash.Target..: File (eharmony.txt)
    \nHash.Type....: MD5
    \nTime.Running.: 51 mins, 55 secs
    \nTime.Left....: 0 secs
    \nTime.Util....: 3115494.9ms\/488.0ms Real\/CPU, 0.0% idle
    \nSpeed........:   905.5M c\/s Real,   453.2M c\/s GPU
    \nRecovered....: 251261\/1513805 Digests, 0\/1 Salts
    \nProgress.....: 2821109907456\/2821109907456 (100.00%)
    \nRejected.....: 0\/2821109907456 (0.00%)
    \nHW.Monitor.#1: 38% GPU, 57c Temp<\/div><\/td><\/tr><\/tbody><\/table><\/div>\n

    combined that’s 830722 (54% of the hashes):<\/p>\n

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    $wc -l eharmony_cracked_brute.txt
    \n830722 eharmony_cracked_brute.txt<\/div><\/td><\/tr><\/tbody><\/table><\/div>\n

    So combined with the wordlist attempt and removing the duplicates gives us 919326 cracked passwords, that’s 60%.<\/p>\n

    Maybe with more time, more GPUs and including special charters would get me further? I dont think running it for 5 days would do me much good in the electricity and heat department! ?u?d?s<\/p>\n

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    <\/div><\/td>
    Status.......: Running
    \nInput.Mode...: Mask (?1?1?1?1?1?1?1?1)
    \nHash.Target..: File (eharmony.txt)
    \nHash.Type....: MD5
    \nTime.Running.: 8 secs
    \nTime.Left....: 5 days, 10 hours
    \nTime.Util....: 8851.9ms\/0.0ms Real\/CPU, 0.0% idle
    \nSpeed........:  1097.8M c\/s Real,  1126.6M c\/s GPU
    \nRecovered....: 128\/1513805 Digests, 0\/1 Salts
    \nProgress.....: 9717678080\/513798374428641 (0.00%)
    \nRejected.....: 0\/9717678080 (0.00%)
    \nHW.Monitor.#1: 91% GPU, 50c Temp<\/div><\/td><\/tr><\/tbody><\/table><\/div>\n

    I thought it would make sense to run pipal(by digininja)<\/a> against it, especially for some more info into the masks to use.<\/p>\n

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    <\/div><\/td>
    Total entries = 919325
    \nTotal unique entries = 919325
    \n
    \nTop 10 passwords
    \nJDKING7 = 1 (0.0%)
    \nDIGFAST = 1 (0.0%)
    \nEP65KZ = 1 (0.0%)
    \nZEN1964 = 1 (0.0%)
    \nIDNASG = 1 (0.0%)
    \nSIDDIPET = 1 (0.0%)
    \nJCSLIGHT = 1 (0.0%)
    \nCATSGOT = 1 (0.0%)
    \nOCIMAFAN = 1 (0.0%)
    \nACAASA = 1 (0.0%)
    \n
    \nTop 10 base words
    \nlisa = 246 (0.03%)
    \ntina = 190 (0.02%)
    \neric = 175 (0.02%)
    \nusmc = 169 (0.02%)
    \nmama = 160 (0.02%)
    \nnana = 156 (0.02%)
    \nbarb = 152 (0.02%)
    \nemma = 150 (0.02%)
    \nlola = 143 (0.02%)
    \ndiva = 139 (0.02%)
    \n
    \nPassword length (length ordered)
    \n5 = 46600 (5.07%)
    \n6 = 253175 (27.54%)
    \n7 = 279736 (30.43%)
    \n8 = 251294 (27.33%)
    \n9 = 37970 (4.13%)
    \n10 = 27265 (2.97%)
    \n11 = 11438 (1.24%)
    \n12 = 6525 (0.71%)
    \n13 = 3315 (0.36%)
    \n14 = 1885 (0.21%)
    \n15 = 133 (0.01%)
    \n
    \nPassword length (count ordered)
    \n7 = 279736 (30.43%)
    \n6 = 253175 (27.54%)
    \n8 = 251294 (27.33%)
    \n5 = 46600 (5.07%)
    \n9 = 37970 (4.13%)
    \n10 = 27265 (2.97%)
    \n11 = 11438 (1.24%)
    \n12 = 6525 (0.71%)
    \n13 = 3315 (0.36%)
    \n14 = 1885 (0.21%)
    \n15 = 133 (0.01%)
    \n
    \n       |                                                                
    \n      |||                                                              
    \n      |||                                                              
    \n      |||                                                              
    \n      |||                                                              
    \n      |||                                                              
    \n      |||                                                              
    \n      |||                                                              
    \n      |||                                                              
    \n      |||                                                              
    \n      |||                                                              
    \n      |||                                                              
    \n      |||                                                              
    \n     |||||                                                              
    \n     ||||||                                                            
    \n||||||||||||||||                                                        
    \n0000000000111111
    \n0123456789012345
    \n
    \nOne to six characters = 299773 (32.61%)
    \nOne to eight characters = 830801 (90.37%)
    \nMore than eight characters = 88524 (9.63%)
    \n
    \nOnly lowercase alpha = 0 (0.0%)
    \nOnly uppercase alpha = 382609 (41.62%)
    \nOnly alpha = 382609 (41.62%)
    \nOnly numeric = 1242 (0.14%)
    \n
    \nFirst capital last symbol = 18 (0.0%)
    \nFirst capital last number = 410160 (44.62%)
    \n
    \nMonths
    \njanuary = 9 (0.0%)
    \nfebruary = 1 (0.0%)
    \nmarch = 119 (0.01%)
    \napril = 121 (0.01%)
    \nmay = 1910 (0.21%)
    \njune = 234 (0.03%)
    \njuly = 173 (0.02%)
    \naugust = 30 (0.0%)
    \nseptember = 4 (0.0%)
    \noctober = 17 (0.0%)
    \nnovember = 17 (0.0%)
    \ndecember = 16 (0.0%)
    \n
    \nDays
    \nmonday = 5 (0.0%)
    \ntuesday = 2 (0.0%)
    \nthursday = 1 (0.0%)
    \nfriday = 9 (0.0%)
    \nsaturday = 2 (0.0%)
    \nsunday = 7 (0.0%)
    \n
    \nMonths (Abreviated)
    \njan = 2333 (0.25%)
    \nfeb = 413 (0.04%)
    \nmar = 6972 (0.76%)
    \napr = 532 (0.06%)
    \nmay = 1910 (0.21%)
    \njun = 1037 (0.11%)
    \njul = 840 (0.09%)
    \naug = 660 (0.07%)
    \nsept = 104 (0.01%)
    \noct = 518 (0.06%)
    \nnov = 849 (0.09%)
    \ndec = 829 (0.09%)
    \n
    \nDays (Abreviated)
    \nmon = 3681 (0.4%)
    \ntues = 12 (0.0%)
    \nwed = 254 (0.03%)
    \nthurs = 6 (0.0%)
    \nfri = 571 (0.06%)
    \nsat = 722 (0.08%)
    \nsun = 1294 (0.14%)
    \n
    \nIncludes years
    \n1975 = 450 (0.05%)
    \n1976 = 451 (0.05%)
    \n1977 = 480 (0.05%)
    \n1978 = 487 (0.05%)
    \n1979 = 483 (0.05%)
    \n1980 = 561 (0.06%)
    \n1981 = 502 (0.05%)
    \n1982 = 507 (0.06%)
    \n1983 = 552 (0.06%)
    \n1984 = 599 (0.07%)
    \n1985 = 516 (0.06%)
    \n1986 = 502 (0.05%)
    \n1987 = 514 (0.06%)
    \n1988 = 437 (0.05%)
    \n1989 = 459 (0.05%)
    \n1990 = 359 (0.04%)
    \n1991 = 322 (0.04%)
    \n1992 = 269 (0.03%)
    \n1993 = 206 (0.02%)
    \n1994 = 216 (0.02%)
    \n1995 = 270 (0.03%)
    \n1996 = 241 (0.03%)
    \n1997 = 242 (0.03%)
    \n1998 = 302 (0.03%)
    \n1999 = 347 (0.04%)
    \n2000 = 915 (0.1%)
    \n2001 = 544 (0.06%)
    \n2002 = 505 (0.05%)
    \n2003 = 522 (0.06%)
    \n2004 = 605 (0.07%)
    \n2005 = 722 (0.08%)
    \n2006 = 848 (0.09%)
    \n2007 = 856 (0.09%)
    \n2008 = 900 (0.1%)
    \n2009 = 763 (0.08%)
    \n2010 = 552 (0.06%)
    \n2011 = 129 (0.01%)
    \n2012 = 142 (0.02%)
    \n2013 = 65 (0.01%)
    \n2014 = 39 (0.0%)
    \n2015 = 42 (0.0%)
    \n2016 = 39 (0.0%)
    \n2017 = 33 (0.0%)
    \n2018 = 37 (0.0%)
    \n2019 = 42 (0.0%)
    \n2020 = 251 (0.03%)
    \n
    \nYears (Top 10)
    \n2000 = 915 (0.1%)
    \n2008 = 900 (0.1%)
    \n2007 = 856 (0.09%)
    \n2006 = 848 (0.09%)
    \n2009 = 763 (0.08%)
    \n2005 = 722 (0.08%)
    \n2004 = 605 (0.07%)
    \n1984 = 599 (0.07%)
    \n1980 = 561 (0.06%)
    \n1983 = 552 (0.06%)
    \n
    \nSingle digit on the end = 85199 (9.27%)
    \nTwo digits on the end = 121769 (13.25%)
    \nThree digits on the end = 64658 (7.03%)
    \n
    \nLast number
    \n0 = 37103 (4.04%)
    \n1 = 78555 (8.54%)
    \n2 = 47467 (5.16%)
    \n3 = 47703 (5.19%)
    \n4 = 35107 (3.82%)
    \n5 = 36429 (3.96%)
    \n6 = 32691 (3.56%)
    \n7 = 38031 (4.14%)
    \n8 = 33141 (3.6%)
    \n9 = 36991 (4.02%)
    \n
    \n |                                                                      
    \n |                                                                      
    \n |                                                                      
    \n |                                                                      
    \n |                                                                      
    \n |                                                                      
    \n |||                                                                    
    \n |||                                                                    
    \n|||||| | |                                                              
    \n||||||||||                                                              
    \n||||||||||                                                              
    \n||||||||||                                                              
    \n||||||||||                                                              
    \n||||||||||                                                              
    \n||||||||||                                                              
    \n||||||||||                                                              
    \n0123456789
    \n
    \nLast digit
    \n1 = 78555 (8.54%)
    \n3 = 47703 (5.19%)
    \n2 = 47467 (5.16%)
    \n7 = 38031 (4.14%)
    \n0 = 37103 (4.04%)
    \n9 = 36991 (4.02%)
    \n5 = 36429 (3.96%)
    \n4 = 35107 (3.82%)
    \n8 = 33141 (3.6%)
    \n6 = 32691 (3.56%)
    \n
    \nLast 2 digits (Top 10)
    \n23 = 12432 (1.35%)
    \n12 = 9446 (1.03%)
    \n11 = 8886 (0.97%)
    \n01 = 8687 (0.94%)
    \n00 = 7434 (0.81%)
    \n22 = 6963 (0.76%)
    \n21 = 6915 (0.75%)
    \n13 = 6713 (0.73%)
    \n69 = 6580 (0.72%)
    \n07 = 5889 (0.64%)
    \n
    \nLast 3 digits (Top 10)
    \n123 = 6754 (0.73%)
    \n007 = 1923 (0.21%)
    \n000 = 1840 (0.2%)
    \n234 = 1733 (0.19%)
    \n101 = 1298 (0.14%)
    \n777 = 1297 (0.14%)
    \n001 = 1282 (0.14%)
    \n420 = 1281 (0.14%)
    \n111 = 1167 (0.13%)
    \n008 = 1129 (0.12%)
    \n
    \nLast 4 digits (Top 10)
    \n1234 = 1356 (0.15%)
    \n2008 = 813 (0.09%)
    \n2007 = 776 (0.08%)
    \n2006 = 755 (0.08%)
    \n2000 = 753 (0.08%)
    \n2009 = 685 (0.07%)
    \n2005 = 645 (0.07%)
    \n2004 = 539 (0.06%)
    \n2345 = 538 (0.06%)
    \n1984 = 498 (0.05%)
    \n
    \nLast 5 digits (Top 10)
    \n12345 = 462 (0.05%)
    \n23456 = 146 (0.02%)
    \n54321 = 77 (0.01%)
    \n55555 = 64 (0.01%)
    \n11111 = 58 (0.01%)
    \n77777 = 57 (0.01%)
    \n00000 = 48 (0.01%)
    \n13579 = 44 (0.0%)
    \n56789 = 42 (0.0%)
    \n96969 = 34 (0.0%)
    \n
    \nCharacter sets
    \nupperalphanum: 535352 (58.23%)
    \nupperalpha: 382609 (41.62%)
    \nnumeric: 1242 (0.14%)
    \nupperalphaspecial: 68 (0.01%)
    \nupperalphaspecialnum: 38 (0.0%)
    \nspecialnum: 3 (0.0%)
    \n
    \nCharacter set ordering
    \nstringdigit: 396200 (43.1%)
    \nallstring: 382609 (41.62%)
    \ndigitstring: 54770 (5.96%)
    \nstringdigitstring: 48114 (5.23%)
    \nothermask: 25651 (2.79%)
    \ndigitstringdigit: 10661 (1.16%)
    \nalldigit: 1242 (0.14%)
    \nstringspecialstring: 49 (0.01%)
    \nstringspecial: 16 (0.0%)
    \nstringspecialdigit: 13 (0.0%)
    \n
    \nHashcat masks (Top 10)
    \n?u?u?u?u?u?u?u?u: 121805 (13.25%)
    \n?u?u?u?u?u?u: 101111 (11.0%)
    \n?u?u?u?u?u?u?u: 88475 (9.62%)
    \n?u?u?u?d?d?d?d: 52666 (5.73%)
    \n?u?u?u?u?d?d: 38723 (4.21%)
    \n?u?u?u?u?u?d?d: 32912 (3.58%)
    \n?u?u?d?d?d?d: 30207 (3.29%)
    \n?u?u?u?u?d?d?d?d: 28667 (3.12%)
    \n?u?u?u?u?u?u?d?d: 27044 (2.94%)
    \n?u?u?u?u?u?u?d: 26176 (2.85%)<\/div><\/td><\/tr><\/tbody><\/table><\/div>\n","protected":false},"excerpt":{"rendered":"

    So Linkedin hashes have recently been leaked onto the net, and plenty of people have been cracking them. Meanwhile eHarymony passwords were also leaked! The hashes are here and a quick download is all thats needed. wget them to prevent your browser from trying to render the entire txt file! Throwing a dictionary at it […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[37,36,286,284,188,186,205,189,285],"_links":{"self":[{"href":"https:\/\/www.phillips321.co.uk\/wp-json\/wp\/v2\/posts\/734"}],"collection":[{"href":"https:\/\/www.phillips321.co.uk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.phillips321.co.uk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.phillips321.co.uk\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.phillips321.co.uk\/wp-json\/wp\/v2\/comments?post=734"}],"version-history":[{"count":8,"href":"https:\/\/www.phillips321.co.uk\/wp-json\/wp\/v2\/posts\/734\/revisions"}],"predecessor-version":[{"id":742,"href":"https:\/\/www.phillips321.co.uk\/wp-json\/wp\/v2\/posts\/734\/revisions\/742"}],"wp:attachment":[{"href":"https:\/\/www.phillips321.co.uk\/wp-json\/wp\/v2\/media?parent=734"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.phillips321.co.uk\/wp-json\/wp\/v2\/categories?post=734"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.phillips321.co.uk\/wp-json\/wp\/v2\/tags?post=734"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}