Archive for the ‘News’ category

specialforces.com leaked passwords analysis

December 28th, 2011

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%)

        |                                                              
        |                                                              
        |                                                              
        |                                                              
      |||                                                              
      |||                                                              
      ||||                                                              
      ||||                                                              
      |||||                                                            
      |||||                                                            
      |||||                                                            
      ||||||                                                            
     |||||||                                                            
     ||||||||                                                          
    |||||||||||                                                        
|||||||||||||||||||||||||||||||||                                      
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%)

 |                                                                      
 |                                                                      
 |                                                                      
 |                                                                      
 |                                                                      
 |                                                                      
 | |                                                                    
 |||                                                                    
 ||| | | |                                                              
|||||||| |                                                              
||||||||||                                                              
||||||||||                                                              
||||||||||                                                              
||||||||||                                                              
||||||||||                                                              
||||||||||                                                              
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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Posted in General, News

How Secure Are You?

March 31st, 2011

Management never seem to think bad things will happen to them here in Australia. Well, here are two incidents that prove that thinking wrong:

Hacker attacks Victorian servers

http://www.zdnet.com.au/hacker-attacks-victorian-servers-339301026.htm

China spies suspected of hacking Julia Gillard’s emails

http://www.news.com.au/technology/federal-ministers-emails-suspected-of-being-hacked/story-e6frfrnr-1226029713668

So anyone connected to the internet is fair game, so the question becomes: How do I stop my company from being the next headline?

Glad you asked…

Enter SANS 504: Hacker Techniques, Exploits and Incident Handling course

SANS, one of the best known names in the IT security training arena, has a course dedicated to teaching IT staff how to understand what hacker are up and put in place measures to keep the company systems safe. SANS 504: Hacker Techniques, Exploits and Incident Handling course gives hands-on experience in understanding vulnerabilities and discovering intrusions, and equipping you with a comprehensive incident handling plan.

This course is being offered as a ten week Mentor lead course here in Sydney, this allow the attendees to gain the maximum study benefits while still having personal lives. It starts on the Thursday, June 2, 2011 and running each Thursday until August 4, 2011.

Learn and work through the SANS courseware with Chris Mohan, one of the few SANS’ GSE holders in the world and a handler at the Internet Storm Center, to help make the courseware relevant and of immediate use to you.

With the Australian dollar nearing an all-time high and using the code Mentor10 for an addition 10% off the course, SANS Security training has never been more cost effective and affordable!

Register here: http://www.sans.org/mentor/details.php?nid=24644

And just in case your company doesn’t think taking IT security is important, show your boss even the Australia’s spy agency ASIO gets cyber wing to protect the country. If the country needs protecting don’t you think your company does to?

http://news.smh.com.au/breaking-news-technology/australias-spy-agency-asio-gets-cyber-wing-20110311-1br4g.html

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Posted in Certifications, News

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Core Impact Pro with Metasploit Integration

February 17th, 2010

Core Security Technologies have just announced that the next version of Core Impact Pro (due out in April) will support Metasploit integration. It’s not a bad list of things you will be able to do too.

*  Bring a system compromised during testing with Metasploit into the IMPACT environment and deploy an IMPACT Pro Agent. The Agent is a patented, syscall proxy payload that allows users to:

1. Launch IMPACT Pro’s full range of automated penetration testing capabilities from the compromised system.
2. Leverage IMPACT’s broad selection of commercial-grade exploits, plus multiple pre- and post-exploitation capabilities for in-depth, comprehensive attack replication.
3. Pivot penetration tests to other systems, mimicking an attacker’s attempts at identifying and exploiting paths of weakness to backend systems and data.

* Use IMPACT Pro’s automated Rapid Penetration Test (RPT) to exploit vulnerabilities, then launch Metasploit’s db-autopwn feature and subsequently upload the results back into IMPACT Pro. This allows users with less training and expertise to view Metasploit testing information within the IMPACT environment.

I for one am looking forward to playing with this :)

Press Release

Blog Announcement

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Posted in Core Impact, Metasploit, News, Tools

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