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.

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.

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.

Most common ages of users
Male			Female
Ages as of 2016	User count	% of Gender	Ages 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.

Age distribution by Gender
Age range as of 2016	Males	% of Gender	Females	% of Gender
18 to 23	2,940,987	4.04	3,178,629	6.06
23 to 28	15,439,568	21.21	13,739,325	26.19
28 to 33	18,160,414	24.94	13,183,643	25.13
33 to 38	15,504,886	21.29	9,663,847	18.42
38 to 43	10,554,036	14.5	5,976,789	11.39
43 to 48	7,375,637	10.13	4,295,813	8.19
48 to 53	4,778,744	6.56	2,943,356	5.61
53 to 58	2,857,466	3.92	1,823,264	3.48
58 to 63	1,519,773	2.09	989,281	1.89
63 to 68	800,465	1.1	501,376	0.96
68 to 73	376,345	0.52	216,348	0.41