Les fuites de données connues
Recenser toutes les fuites de données est chose impossible, même si les organismes sont désormais tenus d'avertir leur communauté (clients, patients, employés, etc.) lorsque cela se produit. Les fuites (ou breaches en anglais) sont généralement dues à une erreur humaine ou à un piratage des systèmes informatiques (hacking). Les résultats présentés ici sont issus de haveibeenpwned.com (ai-je été mis.e aux enchères sur le dark web...), référence dans le domaine, qui fouille le web caché pour nous. Toutes ces données sont en vente sur le web...
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breach logo
Titre de la fuite
breach Title
Nom du domaine
breach Domain
Date de la fuite
breach Date
Volume
Number
Types de données
breach Data
Description
breach Description
Liens
breach Links
Ce sont vos données et n'importe qui peut s'en servir
Sur le web, on trouve tout ce qu'on veut à acheter, nos données ne font pas exception. De nos identités à nos avis politiques, en passant par nos numéros de carte bancaires, nos comptes et mots de passe, nos photos, nos dossiers médicaux, ou encore nos préférences sexuelles. La liste est longue et en anglais.
Index | Data |
|---|---|
1 | Account balances |
2 | Address book contacts |
3 | Age groups |
4 | Ages |
5 | Apps installed on devices |
6 | Astrological signs |
7 | Audio recordings |
8 | Auth tokens |
9 | Avatars |
10 | Bank account numbers |
11 | Beauty ratings |
12 | Biometric data |
13 | Bios |
14 | Browser user agent details |
15 | Browsing histories |
16 | Buying preferences |
17 | Car ownership statuses |
18 | Career levels |
19 | Cellular network names |
20 | Charitable donations |
21 | Chat logs |
22 | Credit card CVV |
23 | Credit cards |
24 | Credit status information |
25 | Customer feedback |
26 | Customer interactions |
27 | Dates of birth |
28 | Deceased date |
29 | Deceased statuses |
30 | Device information |
31 | Device serial numbers |
32 | Device usage tracking data |
33 | Drinking habits |
34 | Driver's licenses |
35 | Drug habits |
36 | Eating habits |
37 | Education levels |
38 | Email addresses |
39 | Email messages |
40 | Employers |
41 | Employment statuses |
42 | Encrypted keys |
43 | Ethnicities |
44 | Family members' names |
45 | Family plans |
46 | Family structure |
47 | Financial investments |
48 | Financial transactions |
49 | Fitness levels |
50 | Genders |
51 | Geographic locations |
52 | Government issued IDs |
53 | Health insurance information |
54 | Historical passwords |
55 | Home loan information |
56 | Home ownership statuses |
57 | Homepage URLs |
58 | IMEI numbers |
59 | IMSI numbers |
60 | Income levels |
61 | Instant messenger identities |
62 | IP addresses |
63 | Job applications |
64 | Job titles |
65 | Licence plates |
66 | Living costs |
67 | Login histories |
68 | MAC addresses |
69 | Marital statuses |
70 | Mnemonic phrases |
71 | Mothers maiden names |
72 | Names |
73 | Nationalities |
74 | Net worths |
75 | Nicknames |
76 | Occupations |
77 | Parenting plans |
78 | Partial credit card data |
79 | Partial dates of birth |
80 | Passport numbers |
81 | Password hints |
82 | Password strengths |
83 | Passwords |
84 | Payment histories |
85 | Payment methods |
86 | Personal descriptions |
87 | Personal health data |
88 | Personal interests |
89 | Phone numbers |
90 | Photos |
91 | Physical addresses |
92 | Physical attributes |
93 | PINs |
94 | Places of birth |
95 | Political donations |
96 | Political views |
97 | Private messages |
98 | Professional skills |
99 | Profile photos |
100 | Purchases |
101 | Purchasing habits |
102 | Races |
103 | Recovery email addresses |
104 | Relationship statuses |
105 | Religions |
106 | Reward program balances |
107 | Salutations |
108 | School grades (class levels) |
109 | Security questions and answers |
110 | Sexual fetishes |
111 | Sexual orientations |
112 | Smoking habits |
113 | SMS messages |
114 | Social connections |
115 | Social media profiles |
116 | Social security numbers |
117 | Spoken languages |
118 | Spouses names |
119 | Support tickets |
120 | Survey results |
121 | Taxation records |
122 | Time zones |
123 | Travel habits |
124 | User statuses |
125 | User website URLs |
126 | Usernames |
127 | Utility bills |
128 | Vehicle details |
129 | Website activity |
130 | Work habits |
131 | Years of professional experience |