There are currently 4,604,676,162 / 4,748,055,404 accounts in our database.

We are in the process of re-indexing databases that where lost.

June 2nd, 2016

Preface

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.

Table of Contents

Summary

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.


RankPasswordFrequency
1123456706,689
2123456789237,898
312345107,211
400000078,924
511111162,445
61234567861,658
7azerty56,688
8paSSword54,128
9123456753,003
10badoo49,918
1112312337,082
12123456789033,945
1365432128,728
14qwerty25,736
1566666625,000
16juventus23,659
17antonio21,679
18andrea21,153
1912121219,960
2001020318,632
2198765432118,590
22marseille18,052
2322222217,177
2411223317,149
25password17,098
2655555516,540
27napoli16,493
28loulou16,189
29amoremio15,949
301111115,898
31francesco15,680
32giuseppe15,575
330000015,534
34doudou15,124
35barcelona14,060
36samsung13,945
3710101013,300
38stella13,296
3910203013,219
40aaaaaa12,854
41ciaociao12,786
42alessandro12,732
4312332112,704
4478945612,644
45valentina12,456
46amore12,261
4712365412,210
48777777711,929
49soleil11,917
50chouchou11,835
5169696911,724
52daniel11,661
53stellina11,589
54mercedes11,345
55francesca11,295

Emails

Simple table of top email domains


RankEmail DomainFrequency
1@hotmail.com37,273,584
2@hotmail.fr11,030,772
3@gmail.com9,629,547
4@yahoo.com7,269,404
5@hotmail.it5,493,132
6@yahoo.fr3,090,199
7@live.fr3,085,478
8@mail.ru2,658,804
9@libero.it2,451,448
10none2,052,344
11@seznam.cz2,000,361
12@live.it1,926,094
13@wp.pl1,781,118
14@hotmail.es1,540,475
15@hotmail.de1,453,651
16@web.de1,305,301
17@yahoo.it1,165,831
18@msn.com1,094,808
19@hotmail.co.uk1,020,359
20@live.com993,910
21@facebook.com975,775
22@gmx.de879,061
23@orange.fr823,800
24@alice.it771,721
25@o2.pl764,257
26@yahoo.es646,944
27@yandex.ru549,091
28@yahoo.de538,597
29@freemail.hu538,308
30@yahoo.co.uk510,490
31@tiscali.it491,761
32@interia.pl483,671
33@live.nl411,557
34@wanadoo.fr391,419
35@virgilio.it379,132
36@aol.com376,951
37@ymail.com375,295
38@live.de369,323
39@free.fr366,341
40@laposte.net343,131
41@windowslive.com327,105
42@googlemail.com326,907
43@op.pl322,224
44@rambler.ru291,796
45@citromail.hu256,129
46@live.co.uk246,604
47@centrum.cz243,614
48@naver.com232,595
49@t-online.de 228,743
50@sfr.fr223,587
51@gmx.net207,956
52@bk.ru200,257
53@live.com.pt199,734
54@freenet.de188,232
55@neuf.fr183,988

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


RankGenderFrequency% of users
1Male72,810,66857.18
2Female52,456,84441.19

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.


Most common ages of users
MaleFemale
Ages as of 2016User count% of GenderAges as of 2016User count% of Gender
263,495,6284.8263,152,6826.01
363,302,1954.54272,688,9245.13
283,208,2264.41282,602,8154.96
313,189,3394.38252,352,4854.48
273,072,3554.22292,283,9964.35
293,060,0874.2302,243,7094.28
303,041,4134.18312,236,7434.26
322,928,6204.02321,980,6203.78
342,759,5163.79361,969,2603.75
332,732,7293.75331,835,7603.5
252,500,8233.43341,804,5843.44
352,449,3893.36241,719,8843.28
372,168,9722.98351,588,5243.03
382,092,0852.87371,270,0382.42
391,956,9042.69231,222,5352.33
241,856,1072.55381,195,6812.28
411,839,6072.53391,120,5302.14
401,768,0102.43411,002,8601.91
421,529,4302.140994,8121.9
461,496,1812.0522932,1861.78
431,368,0001.8842873,0461.66
441,338,1851.8446830,9981.58
231,306,4291.7943789,8601.51
451,169,9001.6144770,4091.47
471,039,1611.4345691,0641.32
48964,2101.3247627,4571.2
22916,1211.2648586,0251.12
49857,5481.1849532,3001.01
50831,3151.1450506,4340.97
51822,3771.1351500,1050.95
52705,7640.9752436,5280.83
53597,5300.8221400,0670.76
56552,6160.7653381,9640.73
54546,4360.7520350,7410.67
55464,1300.6454342,3950.65
57362,9040.556334,8250.64
58333,8500.4655302,3830.58
21316,4250.4357241,2070.46
59295,4590.4158220,4900.42
60263,2160.3619209,3210.4
61254,6080.3559192,5270.37
20223,7090.3160172,1950.33
62202,4290.2861162,3000.31
63170,2110.2362130,7570.25
64156,1730.2163111,0120.21
66150,8690.216498,7220.19
65130,2360.186690,9630.17
19119,6490.166583,2950.16
67100,7190.141863,7790.12
6892,2570.136761,8030.12
6980,0900.1110457,6650.11
7067,5500.096855,5810.11
1858,6540.0810551,1410.1
7156,3290.086947,4640.09
7244,3030.0610341,0300.08
7335,8160.057039,1850.07
7430,2310.0410635,7510.07
7628,9690.047130,8750.06
7524,6830.037223,9430.05
7718,9210.037319,3000.04

Age Groups

The first table is difficult to read, so let's group the users by age ranges of 5 years starting at 18.


Age distribution by Gender
Age range as of 2016Males% of GenderFemales% of Gender
18 to 232,940,9874.043,178,6296.06
23 to 2815,439,56821.2113,739,32526.19
28 to 3318,160,41424.9413,183,64325.13
33 to 3815,504,88621.299,663,84718.42
38 to 4310,554,03614.55,976,78911.39
43 to 487,375,63710.134,295,8138.19
48 to 534,778,7446.562,943,3565.61
53 to 582,857,4663.921,823,2643.48
58 to 631,519,7732.09989,2811.89
63 to 68800,4651.1501,3760.96
68 to 73376,3450.52216,3480.41
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