ShadowMap

Dark Web Exposure for tatacapital.com

Credentials, devices and data found in dark web stealer logs & breaches
63
Exposure level: High
tatacapital.com scores 63/100 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 +64% 18% reuse a top-10 password
Employee exposure
corporate accounts — @tatacapital.com
1,731
leaked credentials · 391 compromised devices
Top exposed employee accounts
rajan.rat***@tatacapital.com112
kkaraka.***@tatacapital.com79
dinesh2.***@tatacapital.com73
smehek.c***@tatacapital.com54
venkates***@tatacapital.com54
Where staff accounts were caught
adfs.tatacapital.com1,130
tatacapital.force.com230
login.microsoftonline.com53
www.mycapitalconnect.com48
aiv2client.autoinspekt.com27
Customer exposure
stolen logins for tatacapital.com
6,999
leaked credentials · 855 compromised devices
Top exposed customer accounts
9902989764
77427663
786105959
le29683949
727950449
Most targeted services
retailonline.tatacapital.com2,522
adfs.tatacapital.com1,347
myaccount.tatacapital.com913
apps4.tatacapital.com742
corporateservices.tatacapital.com311
7,587
Exposed Credentials
865
Compromised Devices
0
Credit Cards
0
Crypto Wallets
108
Auth Tokens
161,240
Stolen Cookies

Exposure over time (credentials leaked per month)

2024-012026-05

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

Salesforce248
Microsoft 36564
Google Workspace2

Most common passwords 18% reuse a top-10 password

Ta***23123
fe***19100
Ma***2390
Ta***2383
sU***2382
Sa***#369
18***2766
Au***3466
Ap***2265
Ma***2364

Stolen sessions (active cookies that can bypass MFA)

youtube.com5,437
google.com3,249
pubmatic.com2,517
bing.com1,892
adnxs.com1,802
google.co.in1,531

Financial, crypto & app tokens

App / session tokens
Google94
Telegram13
Discord1

Browsers & apps affected

Microsoft Edge (Default)20
Google Chrome (Default)18
Edge [Default]11
Google Chrome (Profile 4)10
Chrome [Default]9
Google Chrome (Profile 1)9

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.