Badoo.com was hacked
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 […]

HEROIC Cybersecurity

July 30, 2024

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, 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 this database, or in any other leaked database that we possess, you may remove yourself for free. We’re rebuilding our removal tools to be automated and more efficient so check back later.

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
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.

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

 

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