ShadowMap

Dark Web Exposure for unilever.com

Credentials, devices and data found in dark web stealer logs & breaches
67
Exposure level: High
unilever.com scores 67/100 based on leaked credentials, compromised devices, and stolen financial & session data found on the dark web.
Most recent exposure 20 days ago Last 90 days +3% 13% reuse a top-10 password
Employee exposure
corporate accounts — @unilever.com
10,501
leaked credentials · 819 compromised devices
Top exposed employee accounts
sam.lutostan***@unilever.com181
anshu.shar***@unilever.com140
nabeel.ah***@unilever.com124
pradeep.kuma***@unilever.com120
muhammad.a***@unilever.com101
Where staff accounts were caught
idp.unilever.com2,757
login.microsoftonline.com896
ul-amigopod-e.unilever.com710
agile.unilever.com221
mfa.unilever.com158
Customer exposure
stolen logins for unilever.com
13,510
leaked credentials · 854 compromised devices
Top exposed customer accounts
hola249
dede.wahyudin183
admin.cimahi157
skminhajurraha***@gmail.com115
anshu.shar***@unilever.com84
Most targeted services
idp.unilever.com3,082
ul-amigopod-e.unilever.com2,830
web3.inpartner.unilever.com1,281
uflp.unilever.com989
www.dms.unilever.com708
19,967
Exposed Credentials
918
Compromised Devices
0
Credit Cards
0
Crypto Wallets
92
Auth Tokens
131,490
Stolen Cookies

Exposure over time (credentials leaked per month)

2024-012026-05

Corporate SaaS & shadow-IT exposed (employee logins to third-party services)

Microsoft 3651,046
LinkedIn52

Most common passwords 13% reuse a top-10 password

no***-1330
Un***23182
Pl***05103
#B***Ti100
R@***i195
Fa***##78
Da***am76
He***0176
@b***8273
Se***1.72

Stolen sessions (active cookies that can bypass MFA)

youtube.com5,418
google.com2,338
bing.com1,862
adnxs.com1,429
criteo.com1,295
pubmatic.com1,159

Financial, crypto & app tokens

App / session tokens
Google87
Discord4
Telegram1

Browsers & apps affected

Google Chrome (Default)22
android:lync15.office20
Chrome [Profile 3]16
Microsoft Edge (Default)14
Chrome [Profile 1]9
Chrome [Default]5

Stealer malware families seen

RedLine

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Figures are aggregate counts derived from dark web stealer logs and public breach data. Data is indicative and updated periodically.