Archive for the ‘General’ category

PhriendlyPhishing

December 5th, 2012

It’s been an interesting and crazy few months leading up to the launch of my new product, PhriendlyPhishing.

Way back in 2006 my Grandfather lost his house, car and pretty much his whole life after being caught out by a phishing scam. This had a profound effect on my family and still does to this day. So when I realised that I had a chance to change how people reacted to phishing attacks and could allow them to easily and confidently identify these scams, I had no choice but to jump in with both feet.

That brings me to today, almost 12 months after I first had the idea for PhriendlyPhishing. We now have a training product that IMHO kicks ass :). It’s uniquely positioned in the market due to its ability to break down technical barriers and get people to understand and identify phishing in a truly simple manner. To do this we use characters, colours and voices and make the training a jargon free zone. But we also take it one step further by linking the whole training to the acronym SCAM. By the end of the training you should be opening up every email and reciting to yourself; Think Email. Think SCAM!

It’s at that point where most training stops. The user forgets what they’ve learned by lunch time, and the whole educational experience is lost. It’s costly to the business both in time and money and frustrating for the staff.

So we took it a step further.

After the user has finished the initial training (because we are a training company, not a tricking company) PhriendlyPhishing sends out at periodic intervals real life phishing emails to the staff members. This allows them to reinforce and hone their newly acquired skills.

If they catch the phishing attack, they learn, feel great, and they alert the service desk.

If they get caught, they are automatically given a small refresher course specifically about the phishing techniques used in that attack. So they get to learn in a safe, friendly environment rather than the big, bad, ugly, world.

In both cases they have learned, and in both cases they are now more likely to see future phishing attacks.

As for the service desk. They are now getting forwarded real phishing emails rather than the bogus ones they normally get. So along with the weekly phishing schedule we send them in advance they can quickly weed out our attacks which leaves them free to work solely on the attacks that can cause real harm.

 

It’s been a blast and a privileged being able to get the product from between my ears, to paper, to product, and then eventually into the minds of others.

The trick now is getting people to realise that 1) Staff can be successfully trained, and it can be done in a respectful, caring, and positive manner, and 2) that phishing is actually a real issue, as it seems too many businesses don’t think it’s a problem, (even though most (90%) attacks are reportedly now starting with spear-phishing attacks).

If this tweaks your interest (even just a little bit) head over to http://phriendlyphishing.com/ and check it out. While you’re there have a look at the Phishing Line, it might help convince some people that phishing is a real threat and one that is here to stay.

Share

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.

 

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
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%)

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

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

 

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
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%)

 

Share

Black Hat 2011 & Defcon 19

July 16th, 2011

With Black Hat and Defcon only about 2 weeks away, I’m getting pretty excited. This year I have the privilege of heading over to Las Vegas to witness both events in person. I’ve been looking forward to this for years and with the parties I’m scheduled to attend somehow I don’t think it’ll disappoint :)

The line-up for Black Hat is looking damn impressive and I’m really looking forward to attending these briefings and learning from some of the masters of the industry.

Unfortunately the Defcon schedule hasn’t been released yet, but damn sure I’ll be impressed by the quality of the talent.

I’ll be tweeting about the event from my iphone as often as I can, so follow me @damiangrace to get live updates… and hey, there might even be some unsavoury pics if my phone/account gets hacked… ***

Let me know if you’re also attending and maybe we can catch up.

 

Additional Important Notes:

1) Yes I’m aware that using electrical devices at these conferences is crazy…

2) yes I’m crazy…

3) Yes I’ll be wearing my tin foil hat *thumbs up*

 

 

*** or I party too hard!  :)

Share

Nmap 2010 User Survey

April 8th, 2010

Nmap are conducting a survey to find out how user interact with their products and other bits and pieces.

Help them help you by filling out the questionnaire. The need 5000 responses and at the time of writing have only received 231 so get cracking!

http://nmap.org/survey/

[adrotate group="1" banner="2"]

Share

We Are Hiring!!!

March 17th, 2010

Role
This is a consulting role where the successful applicant would be providing Network and/or Web Application penetration testing services to our clients requiring Inter-Sydney and surrounding travel. In-house coding and providing technical expertise to our other departments will be required periodically.

The successful applicant must have a strong coding background in at least two of the following languages; Perl, Python, C, C++, PHP, ASP, LISP or SQL.

Strong Web Application Hacking abilities are a HUGE advantage (experience not necessary, but proof of ability will be tested). Experience with Firewalls, Servers, and Networking will be looked upon favourably.

Personal qualities
•    Presentable
•    Excellent written and verbal communication skills
•    Enjoy working individually and as part of a team
•    A well rehearsed root dance.

Education
A CISSP, OSCP, OSWP, OSCE, GPEN, GWAPT etc is preferred but not necessary if you can pass our testing.

What we offer
•    Training opportunities
•    Highly competitive remuneration
•    Flexibility
•    Personal networking with some of the best names in the business.
•    A friendly, fun and supportive working environment

If this sounds like a role suitable for you then contact me via jobs{–at–}damiangrace.com with your details. Overseas candidates are welcome.

Share

GWAPT Certified

March 13th, 2010

Well that’s another certification attempt passed on my route to world domination.

This time it was the SANS GIAC Web Application Penetration Tester (GWAPT) certification. I managed to scrape through with a 97.33% which I am pretty happy about :)

hmm, I just realised this is the first time in about 8 months I haven’t had a certification hanging over my head… hmm… all of a sudden I feel all alone… confused… lost… bored…

OK, now I have to find something else to do…

Suggestions anyone?

[adrotate group="1" banner="2"]

Share
This is a phishpond.com spam/phishing sensor designed to be picked up by email harvesters.