specialforces.com leaked passwords analysis

December 28th, 2011 by Damian Leave a reply »

I’d been looking for an excuse to try out Digininja‘s new password analysis tool, Pipal, for a little while now but have either been to busy or had other more important things to attend to. Today the combination of extended xmas holidays and a new Lulzsec hack came together to give me the excuse i’d been looking for.

Lulzsec released information about their latest hack today. This time their victim was specialforces.com. As part of this attack they dumped the information of over 18,000 users which included usernames, email addresses and one or more passwords for each user.

After doing a quick clean up, sort and unique on the dirty password list I was able to extract just under 34,000 passwords from the list. The results below are taken directly from Pipal and have not been modified in any way.

Note: It’s likely there will be some incorrectly specified passwords in this list. I did give it a quick skim to remove the obvious, but I wasn’t going to run over each of the 33,881 entries to confirm.

 

Not surprisingly, special forces terminology appeared seven times (8 if you include Mike) out of the top 10 base words.

What did surprise me is how many people seem to use their sign up year as the last 4 digits of their password.

The password ‘!@#123QWEqwe’ also caught my attention. Obviously it looks pretty good but to me it’s the secure equivalent of ‘qwerty123456′. I’d be keeping an eye out for this one in any future analysis.

 

Update: Based on a comment by Robert Winkle below, I have added the stats for the non-uniqued password list as well. My original plan was to use the list as part of my private password list hence the need for uniquing, but as Robert correctly pointed out, the results are much more telling and interesting when based off the original list.

 

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Pipal Results - Uniqued List

Total entries = 33818
Total unique entries = 33818

Top 10 passwords
!!111JAcob = 1 (0.0%)
!!123SUperman = 1 (0.0%)
!!KimLuvsCj21 = 1 (0.0%)
!!nc2560NC!! = 1 (0.0%)
!#32GUlick = 1 (0.0%)
!108specops = 1 (0.0%)
!@#123QWEqwe = 1 (0.0%)
!@H1-102inK = 1 (0.0%)
!@QWASZX12qwaszx = 1 (0.0%)
!@WQ12wq = 1 (0.0%)

Top 10 base words
anonymous = 180 (0.53%)
ranger = 85 (0.25%)
sniper = 39 (0.12%)
usmc = 34 (0.1%)
marine = 28 (0.08%)
airborne = 25 (0.07%)
delta = 24 (0.07%)
mike = 23 (0.07%)
michael = 20 (0.06%)
army = 18 (0.05%)

Password length (length ordered)
1 = 14 (0.04%)
2 = 55 (0.16%)
3 = 222 (0.66%)
4 = 676 (2.0%)
5 = 1327 (3.92%)
6 = 4965 (14.68%)
7 = 5042 (14.91%)
8 = 7334 (21.69%)
9 = 4435 (13.11%)
10 = 3553 (10.51%)
11 = 2042 (6.04%)
12 = 1327 (3.92%)
13 = 814 (2.41%)
14 = 642 (1.9%)
15 = 332 (0.98%)
16 = 217 (0.64%)
17 = 137 (0.41%)
18 = 109 (0.32%)
19 = 103 (0.3%)
20 = 103 (0.3%)
21 = 88 (0.26%)
22 = 67 (0.2%)
23 = 62 (0.18%)
24 = 47 (0.14%)
25 = 43 (0.13%)
26 = 33 (0.1%)
27 = 18 (0.05%)
28 = 17 (0.05%)
29 = 15 (0.04%)
30 = 3 (0.01%)
31 = 3 (0.01%)
32 = 5 (0.01%)

Password length (count ordered)
8 = 7334 (21.69%)
7 = 5042 (14.91%)
6 = 4965 (14.68%)
9 = 4435 (13.11%)
10 = 3553 (10.51%)
11 = 2042 (6.04%)
5 = 1327 (3.92%)
12 = 1327 (3.92%)
13 = 814 (2.41%)
4 = 676 (2.0%)
14 = 642 (1.9%)
15 = 332 (0.98%)
3 = 222 (0.66%)
16 = 217 (0.64%)
17 = 137 (0.41%)
18 = 109 (0.32%)
19 = 103 (0.3%)
20 = 103 (0.3%)
21 = 88 (0.26%)
22 = 67 (0.2%)
23 = 62 (0.18%)
2 = 55 (0.16%)
24 = 47 (0.14%)
25 = 43 (0.13%)
26 = 33 (0.1%)
27 = 18 (0.05%)
28 = 17 (0.05%)
29 = 15 (0.04%)
1 = 14 (0.04%)
32 = 5 (0.01%)
30 = 3 (0.01%)
31 = 3 (0.01%)

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000000000011111111112222222222333
012345678901234567890123456789012

One to six characters = 7253 (21.45%)
One to eight characters = 19627 (58.04%)
More than eight characters = 14191 (41.96%)

Only lowercase alpha = 12376 (36.6%)
Only uppercase alpha = 720 (2.13%)
Only alpha = 13096 (38.72%)
Only numeric = 1571 (4.65%)

First capital last symbol = 141 (0.42%)
First capital last number = 2155 (6.37%)

Months
january = 1 (0.0%)
march = 9 (0.03%)
april = 9 (0.03%)
may = 41 (0.12%)
june = 12 (0.04%)
july = 6 (0.02%)
august = 8 (0.02%)
september = 5 (0.01%)
october = 9 (0.03%)
november = 4 (0.01%)
december = 2 (0.01%)

Days
tuesday = 1 (0.0%)
friday = 3 (0.01%)
sunday = 2 (0.01%)

Months (Abreviated)
jan = 81 (0.24%)
feb = 6 (0.02%)
mar = 531 (1.57%)
apr = 18 (0.05%)
may = 41 (0.12%)
jun = 58 (0.17%)
jul = 49 (0.14%)
aug = 38 (0.11%)
sept = 8 (0.02%)
oct = 21 (0.06%)
nov = 32 (0.09%)
dec = 31 (0.09%)

Days (Abreviated)
mon = 226 (0.67%)
tues = 1 (0.0%)
wed = 6 (0.02%)
thurs = 1 (0.0%)
fri = 36 (0.11%)
sat = 16 (0.05%)
sun = 49 (0.14%)

Includes years
1975 = 19 (0.06%)
1976 = 14 (0.04%)
1977 = 11 (0.03%)
1978 = 14 (0.04%)
1979 = 29 (0.09%)
1980 = 17 (0.05%)
1981 = 19 (0.06%)
1982 = 18 (0.05%)
1983 = 16 (0.05%)
1984 = 21 (0.06%)
1985 = 18 (0.05%)
1986 = 24 (0.07%)
1987 = 26 (0.08%)
1988 = 16 (0.05%)
1989 = 12 (0.04%)
1990 = 11 (0.03%)
1991 = 9 (0.03%)
1992 = 10 (0.03%)
1993 = 16 (0.05%)
1994 = 15 (0.04%)
1995 = 11 (0.03%)
1996 = 12 (0.04%)
1997 = 8 (0.02%)
1998 = 7 (0.02%)
1999 = 16 (0.05%)
2000 = 61 (0.18%)
2001 = 29 (0.09%)
2002 = 29 (0.09%)
2003 = 26 (0.08%)
2004 = 30 (0.09%)
2005 = 33 (0.1%)
2006 = 27 (0.08%)
2007 = 34 (0.1%)
2008 = 20 (0.06%)
2009 = 38 (0.11%)
2010 = 40 (0.12%)
2011 = 5 (0.01%)
2012 = 8 (0.02%)
2013 = 2 (0.01%)
2014 = 3 (0.01%)
2015 = 3 (0.01%)
2016 = 1 (0.0%)
2017 = 3 (0.01%)
2018 = 3 (0.01%)
2019 = 3 (0.01%)
2020 = 10 (0.03%)

Years (Top 10)
2000 = 61 (0.18%)
2010 = 40 (0.12%)
2009 = 38 (0.11%)
2007 = 34 (0.1%)
2005 = 33 (0.1%)
2004 = 30 (0.09%)
1979 = 29 (0.09%)
2001 = 29 (0.09%)
2002 = 29 (0.09%)
2006 = 27 (0.08%)

Single digit on the end = 2350 (6.95%)
Two digits on the end = 5061 (14.97%)
Three digits on the end = 2315 (6.85%)

Last number
0 = 1262 (3.73%)
1 = 2839 (8.39%)
2 = 1594 (4.71%)
3 = 1788 (5.29%)
4 = 1194 (3.53%)
5 = 1305 (3.86%)
6 = 1167 (3.45%)
7 = 1353 (4.0%)
8 = 1104 (3.26%)
9 = 1273 (3.76%)

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0123456789

Last digit
1 = 2839 (8.39%)
3 = 1788 (5.29%)
2 = 1594 (4.71%)
7 = 1353 (4.0%)
5 = 1305 (3.86%)
9 = 1273 (3.76%)
0 = 1262 (3.73%)
4 = 1194 (3.53%)
6 = 1167 (3.45%)
8 = 1104 (3.26%)

Last 2 digits (Top 10)
23 = 496 (1.47%)
01 = 413 (1.22%)
11 = 335 (0.99%)
12 = 332 (0.98%)
13 = 305 (0.9%)
21 = 280 (0.83%)
00 = 276 (0.82%)
07 = 249 (0.74%)
10 = 235 (0.69%)
22 = 231 (0.68%)

Last 3 digits (Top 10)
123 = 298 (0.88%)
007 = 104 (0.31%)
000 = 89 (0.26%)
101 = 78 (0.23%)
001 = 67 (0.2%)
234 = 61 (0.18%)
666 = 54 (0.16%)
911 = 53 (0.16%)
009 = 50 (0.15%)
345 = 47 (0.14%)

Last 4 digits (Top 10)
2000 = 52 (0.15%)
1234 = 49 (0.14%)
2345 = 38 (0.11%)
2010 = 34 (0.1%)
2009 = 33 (0.1%)
2007 = 31 (0.09%)
2005 = 31 (0.09%)
2001 = 27 (0.08%)
2002 = 25 (0.07%)
2004 = 24 (0.07%)

Last 5 digits (Top 10)
12345 = 34 (0.1%)
23456 = 13 (0.04%)
00000 = 6 (0.02%)
56789 = 6 (0.02%)
55555 = 5 (0.01%)
54321 = 5 (0.01%)
11111 = 4 (0.01%)
32211 = 3 (0.01%)
31979 = 3 (0.01%)
56321 = 3 (0.01%)

Character sets
loweralpha: 12376 (36.6%)
loweralphanum: 12088 (35.74%)
mixedalpha: 2025 (5.99%)
mixedalphanum: 1748 (5.17%)
numeric: 1571 (4.65%)
loweralphaspecial: 1094 (3.23%)
loweralphaspecialnum: 791 (2.34%)
upperalpha: 720 (2.13%)
upperalphanum: 649 (1.92%)
mixedalphaspecialnum: 459 (1.36%)
mixedalphaspecial: 183 (0.54%)
upperalphaspecial: 53 (0.16%)
upperalphaspecialnum: 39 (0.12%)
specialnum: 10 (0.03%)
special: 3 (0.01%)

Character set ordering
allstring: 15121 (44.71%)
stringdigit: 12212 (36.11%)
othermask: 1942 (5.74%)
alldigit: 1571 (4.65%)
stringdigitstring: 948 (2.8%)
digitstring: 745 (2.2%)
stringspecialstring: 715 (2.11%)
stringspecialdigit: 327 (0.97%)
digitstringdigit: 165 (0.49%)
stringspecial: 54 (0.16%)
specialstringspecial: 9 (0.03%)
specialstring: 6 (0.02%)
allspecial: 3 (0.01%)

Hashcat masks (Top 10)
?l?l?l?l?l?l?l?l: 2436 (7.2%)
?l?l?l?l?l?l: 2323 (6.87%)
?l?l?l?l?l?l?l: 2130 (6.3%)
?l?l?l?l?l?l?l?l?l: 1486 (4.39%)
?l?l?l?l?l?l?d?d: 1161 (3.43%)
?l?l?l?l?l?l?l?l?l?l: 1099 (3.25%)
?l?l?l?l?l: 748 (2.21%)
?l?l?l?l?l?l?l?l?l?l?l: 645 (1.91%)
?l?l?l?l?l?l?l?d?d: 612 (1.81%)
?d?d?d?d?d?d: 582 (1.72%)

 

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Pipal Results - Non-Uniqued List

Total entries = 36400
Total unique entries = 33819

Top 10 passwords
123456 = 74 (0.2%)
ranger = 50 (0.14%)
password = 37 (0.1%)
airborne = 37 (0.1%)
123456789 = 35 (0.1%)
12345 = 23 (0.06%)
specialforces = 20 (0.05%)
football = 16 (0.04%)
harley = 16 (0.04%)
marines = 16 (0.04%)

Top 10 base words
anonymous = 180 (0.49%)
ranger = 169 (0.46%)
airborne = 68 (0.19%)
sniper = 63 (0.17%)
password = 58 (0.16%)
marine = 42 (0.12%)
usmc = 39 (0.11%)
michael = 33 (0.09%)
shadow = 32 (0.09%)
delta = 31 (0.09%)

Password length (length ordered)
1 = 17 (0.05%)
2 = 64 (0.18%)
3 = 276 (0.76%)
4 = 772 (2.12%)
5 = 1493 (4.1%)
6 = 5817 (15.98%)
7 = 5498 (15.1%)
8 = 7900 (21.7%)
9 = 4619 (12.69%)
10 = 3653 (10.04%)
11 = 2081 (5.72%)
12 = 1345 (3.7%)
13 = 838 (2.3%)
14 = 653 (1.79%)
15 = 333 (0.91%)
16 = 217 (0.6%)
17 = 138 (0.38%)
18 = 109 (0.3%)
19 = 103 (0.28%)
20 = 103 (0.28%)
21 = 90 (0.25%)
22 = 67 (0.18%)
23 = 62 (0.17%)
24 = 47 (0.13%)
25 = 43 (0.12%)
26 = 33 (0.09%)
27 = 18 (0.05%)
28 = 17 (0.05%)
29 = 15 (0.04%)
30 = 3 (0.01%)
31 = 3 (0.01%)
32 = 5 (0.01%)

Password length (count ordered)
8 = 7900 (21.7%)
6 = 5817 (15.98%)
7 = 5498 (15.1%)
9 = 4619 (12.69%)
10 = 3653 (10.04%)
11 = 2081 (5.72%)
5 = 1493 (4.1%)
12 = 1345 (3.7%)
13 = 838 (2.3%)
4 = 772 (2.12%)
14 = 653 (1.79%)
15 = 333 (0.91%)
3 = 276 (0.76%)
16 = 217 (0.6%)
17 = 138 (0.38%)
18 = 109 (0.3%)
20 = 103 (0.28%)
19 = 103 (0.28%)
21 = 90 (0.25%)
22 = 67 (0.18%)
2 = 64 (0.18%)
23 = 62 (0.17%)
24 = 47 (0.13%)
25 = 43 (0.12%)
26 = 33 (0.09%)
27 = 18 (0.05%)
1 = 17 (0.05%)
28 = 17 (0.05%)
29 = 15 (0.04%)
32 = 5 (0.01%)
30 = 3 (0.01%)
31 = 3 (0.01%)

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000000000011111111112222222222333
012345678901234567890123456789012

One to six characters = 8433 (23.17%)
One to eight characters = 21829 (59.97%)
More than eight characters = 14571 (40.03%)

Only lowercase alpha = 14057 (38.62%)
Only uppercase alpha = 765 (2.1%)
Only alpha = 14822 (40.72%)
Only numeric = 1820 (5.0%)

First capital last symbol = 142 (0.39%)
First capital last number = 2195 (6.03%)

Months
january = 1 (0.0%)
march = 10 (0.03%)
april = 9 (0.02%)
may = 41 (0.11%)
june = 12 (0.03%)
july = 6 (0.02%)
august = 8 (0.02%)
september = 5 (0.01%)
october = 10 (0.03%)
november = 6 (0.02%)
december = 2 (0.01%)

Days
tuesday = 1 (0.0%)
friday = 3 (0.01%)
sunday = 2 (0.01%)

Months (Abreviated)
jan = 82 (0.23%)
feb = 6 (0.02%)
mar = 597 (1.64%)
apr = 18 (0.05%)
may = 41 (0.11%)
jun = 59 (0.16%)
jul = 50 (0.14%)
aug = 38 (0.1%)
sept = 8 (0.02%)
oct = 23 (0.06%)
nov = 34 (0.09%)
dec = 32 (0.09%)

Days (Abreviated)
mon = 251 (0.69%)
tues = 1 (0.0%)
wed = 6 (0.02%)
thurs = 1 (0.0%)
fri = 39 (0.11%)
sat = 17 (0.05%)
sun = 56 (0.15%)

Includes years
1975 = 21 (0.06%)
1976 = 14 (0.04%)
1977 = 11 (0.03%)
1978 = 14 (0.04%)
1979 = 29 (0.08%)
1980 = 17 (0.05%)
1981 = 20 (0.05%)
1982 = 18 (0.05%)
1983 = 16 (0.04%)
1984 = 22 (0.06%)
1985 = 19 (0.05%)
1986 = 25 (0.07%)
1987 = 26 (0.07%)
1988 = 16 (0.04%)
1989 = 12 (0.03%)
1990 = 11 (0.03%)
1991 = 10 (0.03%)
1992 = 10 (0.03%)
1993 = 16 (0.04%)
1994 = 15 (0.04%)
1995 = 11 (0.03%)
1996 = 12 (0.03%)
1997 = 8 (0.02%)
1998 = 7 (0.02%)
1999 = 16 (0.04%)
2000 = 61 (0.17%)
2001 = 29 (0.08%)
2002 = 29 (0.08%)
2003 = 27 (0.07%)
2004 = 30 (0.08%)
2005 = 33 (0.09%)
2006 = 27 (0.07%)
2007 = 34 (0.09%)
2008 = 20 (0.05%)
2009 = 42 (0.12%)
2010 = 40 (0.11%)
2011 = 5 (0.01%)
2012 = 9 (0.02%)
2013 = 2 (0.01%)
2014 = 3 (0.01%)
2015 = 3 (0.01%)
2016 = 1 (0.0%)
2017 = 3 (0.01%)
2018 = 3 (0.01%)
2019 = 3 (0.01%)
2020 = 10 (0.03%)

Years (Top 10)
2000 = 61 (0.17%)
2009 = 42 (0.12%)
2010 = 40 (0.11%)
2007 = 34 (0.09%)
2005 = 33 (0.09%)
2004 = 30 (0.08%)
1979 = 29 (0.08%)
2001 = 29 (0.08%)
2002 = 29 (0.08%)
2006 = 27 (0.07%)

Single digit on the end = 2495 (6.85%)
Two digits on the end = 5182 (14.24%)
Three digits on the end = 2369 (6.51%)

Last number
0 = 1286 (3.53%)
1 = 3017 (8.29%)
2 = 1641 (4.51%)
3 = 1844 (5.07%)
4 = 1227 (3.37%)
5 = 1372 (3.77%)
6 = 1271 (3.49%)
7 = 1388 (3.81%)
8 = 1127 (3.1%)
9 = 1356 (3.73%)

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0123456789

Last digit
1 = 3017 (8.29%)
3 = 1844 (5.07%)
2 = 1641 (4.51%)
7 = 1388 (3.81%)
5 = 1372 (3.77%)
9 = 1356 (3.73%)
0 = 1286 (3.53%)
6 = 1271 (3.49%)
4 = 1227 (3.37%)
8 = 1127 (3.1%)

Last 2 digits (Top 10)
23 = 519 (1.43%)
01 = 426 (1.17%)
11 = 349 (0.96%)
12 = 340 (0.93%)
13 = 314 (0.86%)
21 = 297 (0.82%)
00 = 282 (0.77%)
07 = 260 (0.71%)
10 = 243 (0.67%)
22 = 242 (0.66%)

Last 3 digits (Top 10)
123 = 316 (0.87%)
456 = 109 (0.3%)
007 = 107 (0.29%)
000 = 92 (0.25%)
101 = 81 (0.22%)
345 = 69 (0.19%)
001 = 68 (0.19%)
234 = 68 (0.19%)
789 = 60 (0.16%)
666 = 58 (0.16%)

Last 4 digits (Top 10)
3456 = 88 (0.24%)
2345 = 60 (0.16%)
1234 = 56 (0.15%)
2000 = 52 (0.14%)
6789 = 42 (0.12%)
2009 = 37 (0.1%)
2010 = 34 (0.09%)
2005 = 31 (0.09%)
2007 = 31 (0.09%)
2001 = 27 (0.07%)

Last 5 digits (Top 10)
23456 = 86 (0.24%)
12345 = 56 (0.15%)
56789 = 41 (0.11%)
54321 = 16 (0.04%)
11111 = 10 (0.03%)
45678 = 8 (0.02%)
00000 = 8 (0.02%)
67890 = 6 (0.02%)
28607 = 6 (0.02%)
59753 = 6 (0.02%)

Character sets
loweralpha: 14057 (38.62%)
loweralphanum: 12489 (34.31%)
mixedalpha: 2168 (5.96%)
numeric: 1820 (5.0%)
mixedalphanum: 1777 (4.88%)
loweralphaspecial: 1100 (3.02%)
loweralphaspecialnum: 794 (2.18%)
upperalpha: 765 (2.1%)
upperalphanum: 660 (1.81%)
mixedalphaspecialnum: 469 (1.29%)
mixedalphaspecial: 184 (0.51%)
upperalphaspecial: 54 (0.15%)
upperalphaspecialnum: 39 (0.11%)
specialnum: 11 (0.03%)
special: 3 (0.01%)

Character set ordering
allstring: 16990 (46.68%)
stringdigit: 12599 (34.61%)
othermask: 1967 (5.4%)
alldigit: 1820 (5.0%)
stringdigitstring: 970 (2.66%)
digitstring: 764 (2.1%)
stringspecialstring: 718 (1.97%)
stringspecialdigit: 332 (0.91%)
digitstringdigit: 166 (0.46%)
stringspecial: 56 (0.15%)
specialstringspecial: 9 (0.02%)
specialstring: 6 (0.02%)
allspecial: 3 (0.01%)

Hashcat masks (Top 10)
?l?l?l?l?l?l: 2944 (8.09%)
?l?l?l?l?l?l?l?l: 2786 (7.65%)
?l?l?l?l?l?l?l: 2488 (6.84%)
?l?l?l?l?l?l?l?l?l: 1558 (4.28%)
?l?l?l?l?l?l?d?d: 1202 (3.3%)
?l?l?l?l?l?l?l?l?l?l: 1148 (3.15%)
?l?l?l?l?l: 855 (2.35%)
?d?d?d?d?d?d: 707 (1.94%)
?l?l?l?l?l?l?l?l?l?l?l: 663 (1.82%)
?l?l?l?l?l?l?l?d?d: 621 (1.71%)

 

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2 comments

  1. @RobertWinkel says:

    Hey Damian. Some interesting results there. Can Pipal work with a non-”unique”ed list of passwords? (I’m assuming so) That would produce some more interesting results, in my opinion (e.g. the Top 10 Passwords list would produce valid results).

  2. Damian says:

    Hey Robert, you are correct. I have updated the post to include the results for the non-uniqued list too.

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