Badoo.com was hacked. LeakedSource has obtained and added a copy of this data to its ever-growing searchable repository of leaked data. Badoo has not returned our request for comment on this matter but they did respond to a reporter named Joseph Cox with a denial of the breach. This reporter independently verified the breach.
LeakedSource is a search-engine capable of searching over 1.7 billion leaked records -- an aggregation of data from hundreds of disparate sources. We have been able to accumulate this data over a relatively short period of time through a combination of deep-web scavenging and rumor-chasing. Occasionally these efforts lead to major discoveries (e.g. Myspace.com, LinkedIn.com), but we really aren't too picky. If we come across a leaked database from a company that most people haven't heard of, we will incorporate it into our master database just the same.
You may search for yourself in the leaked Badoo.com database by visiting our homepage. If your personal information appears in our copy of the Badoo database, or in any other leaked database that we possess, you may have it removed free of charge, no subscription required. We're rebuilding our removal tools to be automated and more efficient so check back June 6th, 2016
Since embarking on this ambitious project just a handful of months ago, we have processed an unbelievable amount of data. Much more than we expected, more than most large companies will ever house -- and we're just getting started. LeakedSource may soon become synonymous with Big Data, so don't miss out!
Anyone may use the information on this page for free in any capacity provided LeakedSource is given credit and a link back.
LeakedSource does not engage in, encourage or condone unlawful entry ("hacking") into private systems.
This data set contains 127,343,437 records. Each record may contain up to an email address, a username, password, gender, first and last name, birthday, and some other unknown integer values.
API
After the last breach we received many requests for API access, and we are launching a business API with a consumer one to follow in the near future. You can read about the API features at our API page
Passwords
Passwords were stored in MD5 with no salting. "Salting" makes decrypting passwords exponentially harder when dealing with large numbers of passwords such as these. The methods Badoo used for storing passwords are not what internet standards propose and is very weak encryption or some would say it's not encryption at all because it's so outdated.
The following table shows the top passwords used by Badoo users.
Rank
Password
Frequency
1
123456
706,689
2
123456789
237,898
3
12345
107,211
4
000000
78,924
5
111111
62,445
6
12345678
61,658
7
azerty
56,688
8
paSSword
54,128
9
1234567
53,003
10
badoo
49,918
11
123123
37,082
12
1234567890
33,945
13
654321
28,728
14
qwerty
25,736
15
666666
25,000
16
juventus
23,659
17
antonio
21,679
18
andrea
21,153
19
121212
19,960
20
010203
18,632
21
987654321
18,590
22
marseille
18,052
23
222222
17,177
24
112233
17,149
25
password
17,098
26
555555
16,540
27
napoli
16,493
28
loulou
16,189
29
amoremio
15,949
30
11111
15,898
31
francesco
15,680
32
giuseppe
15,575
33
00000
15,534
34
doudou
15,124
35
barcelona
14,060
36
samsung
13,945
37
101010
13,300
38
stella
13,296
39
102030
13,219
40
aaaaaa
12,854
41
ciaociao
12,786
42
alessandro
12,732
43
123321
12,704
44
789456
12,644
45
valentina
12,456
46
amore
12,261
47
123654
12,210
48
7777777
11,929
49
soleil
11,917
50
chouchou
11,835
51
696969
11,724
52
daniel
11,661
53
stellina
11,589
54
mercedes
11,345
55
francesca
11,295
Emails
Simple table of top email domains
Rank
Email Domain
Frequency
1
@hotmail.com
37,273,584
2
@hotmail.fr
11,030,772
3
@gmail.com
9,629,547
4
@yahoo.com
7,269,404
5
@hotmail.it
5,493,132
6
@yahoo.fr
3,090,199
7
@live.fr
3,085,478
8
@mail.ru
2,658,804
9
@libero.it
2,451,448
10
none
2,052,344
11
@seznam.cz
2,000,361
12
@live.it
1,926,094
13
@wp.pl
1,781,118
14
@hotmail.es
1,540,475
15
@hotmail.de
1,453,651
16
@web.de
1,305,301
17
@yahoo.it
1,165,831
18
@msn.com
1,094,808
19
@hotmail.co.uk
1,020,359
20
@live.com
993,910
21
@facebook.com
975,775
22
@gmx.de
879,061
23
@orange.fr
823,800
24
@alice.it
771,721
25
@o2.pl
764,257
26
@yahoo.es
646,944
27
@yandex.ru
549,091
28
@yahoo.de
538,597
29
@freemail.hu
538,308
30
@yahoo.co.uk
510,490
31
@tiscali.it
491,761
32
@interia.pl
483,671
33
@live.nl
411,557
34
@wanadoo.fr
391,419
35
@virgilio.it
379,132
36
@aol.com
376,951
37
@ymail.com
375,295
38
@live.de
369,323
39
@free.fr
366,341
40
@laposte.net
343,131
41
@windowslive.com
327,105
42
@googlemail.com
326,907
43
@op.pl
322,224
44
@rambler.ru
291,796
45
@citromail.hu
256,129
46
@live.co.uk
246,604
47
@centrum.cz
243,614
48
@naver.com
232,595
49
@t-online.de
228,743
50
@sfr.fr
223,587
51
@gmx.net
207,956
52
@bk.ru
200,257
53
@live.com.pt
199,734
54
@freenet.de
188,232
55
@neuf.fr
183,988
Genders
Gender ratios on dating sites are always of interest. Here is how the Badoo.com user base is split (not all users had a gender in the data set). The amount of female users is far above what we expected to see from similar sites such as Mate1.com
Rank
Gender
Frequency
% of users
1
Male
72,810,668
57.18
2
Female
52,456,844
41.19
Ages
Let's examine the most common ages of both genders rounded up by year. We are displaying their ages as of 2016, not age at which they registered.
Jump to age
Most common ages of users
Male
Female
Age as of 2016
User count
% of Gender
Age as of 2016
User count
% of Gender
26
3,495,628
4.8
26
3,152,682
6.01
36
3,302,195
4.54
27
2,688,924
5.13
28
3,208,226
4.41
28
2,602,815
4.96
31
3,189,339
4.38
25
2,352,485
4.48
27
3,072,355
4.22
29
2,283,996
4.35
29
3,060,087
4.2
30
2,243,709
4.28
30
3,041,413
4.18
31
2,236,743
4.26
32
2,928,620
4.02
32
1,980,620
3.78
34
2,759,516
3.79
36
1,969,260
3.75
33
2,732,729
3.75
33
1,835,760
3.5
25
2,500,823
3.43
34
1,804,584
3.44
35
2,449,389
3.36
24
1,719,884
3.28
37
2,168,972
2.98
35
1,588,524
3.03
38
2,092,085
2.87
37
1,270,038
2.42
39
1,956,904
2.69
23
1,222,535
2.33
24
1,856,107
2.55
38
1,195,681
2.28
41
1,839,607
2.53
39
1,120,530
2.14
40
1,768,010
2.43
41
1,002,860
1.91
42
1,529,430
2.1
40
994,812
1.9
46
1,496,181
2.05
22
932,186
1.78
43
1,368,000
1.88
42
873,046
1.66
44
1,338,185
1.84
46
830,998
1.58
23
1,306,429
1.79
43
789,860
1.51
45
1,169,900
1.61
44
770,409
1.47
47
1,039,161
1.43
45
691,064
1.32
48
964,210
1.32
47
627,457
1.2
22
916,121
1.26
48
586,025
1.12
49
857,548
1.18
49
532,300
1.01
50
831,315
1.14
50
506,434
0.97
51
822,377
1.13
51
500,105
0.95
52
705,764
0.97
52
436,528
0.83
53
597,530
0.82
21
400,067
0.76
56
552,616
0.76
53
381,964
0.73
54
546,436
0.75
20
350,741
0.67
55
464,130
0.64
54
342,395
0.65
57
362,904
0.5
56
334,825
0.64
58
333,850
0.46
55
302,383
0.58
21
316,425
0.43
57
241,207
0.46
59
295,459
0.41
58
220,490
0.42
60
263,216
0.36
19
209,321
0.4
61
254,608
0.35
59
192,527
0.37
20
223,709
0.31
60
172,195
0.33
62
202,429
0.28
61
162,300
0.31
63
170,211
0.23
62
130,757
0.25
64
156,173
0.21
63
111,012
0.21
66
150,869
0.21
64
98,722
0.19
65
130,236
0.18
66
90,963
0.17
19
119,649
0.16
65
83,295
0.16
67
100,719
0.14
18
63,779
0.12
68
92,257
0.13
67
61,803
0.12
69
80,090
0.11
104
57,665
0.11
70
67,550
0.09
68
55,581
0.11
18
58,654
0.08
105
51,141
0.1
71
56,329
0.08
69
47,464
0.09
72
44,303
0.06
103
41,030
0.08
73
35,816
0.05
70
39,185
0.07
74
30,231
0.04
106
35,751
0.07
76
28,969
0.04
71
30,875
0.06
75
24,683
0.03
72
23,943
0.05
77
18,921
0.03
73
19,300
0.04
Age Groups
The first table is difficult to read, so let's group the users by age ranges of 5 years starting at 18.
