ShadowMap

Dark Web Exposure for piramal.com

Credentials, devices and data found in dark web stealer logs & breaches
57
Exposure level: High
piramal.com scores 57/100 based on leaked credentials, compromised devices, and stolen financial & session data found on the dark web.
Most recent exposure 19 days ago Last 90 days +63% 48% reuse a top-10 password
Employee exposure
corporate accounts — @piramal.com
608
leaked credentials · 276 compromised devices
Top exposed employee accounts
jignesh.vai***@piramal.com189
pankaj.jay***@piramal.com106
manish.srivas***@piramal.com44
akshay.kumb***@piramal.com34
//www.yammer.com/piramal.com dhanyakumar.j***@piramal.com31
Where staff accounts were caught
login.microsoftonline.com162
sts.piramal.com128
verification.piramalfinance.com37
c31
mentimeter.com23
Customer exposure
stolen logins for piramal.com
1,054
leaked credentials · 330 compromised devices
Top exposed customer accounts
ram***@skyprint.co.in254
40001***@mypiramal.com152
jignesh.vai***@mypiramal.com58
70076***@mypiramal.com55
pankaj.jay***@piramal.com51
Most targeted services
sts.piramal.com556
vconnect.piramal.com127
vendorconnect.piramal.com99
password.piramal.com63
partnerssharepoint.piramal.com29
1,510
Exposed Credentials
410
Compromised Devices
0
Credit Cards
0
Crypto Wallets
2
Auth Tokens
11,374
Stolen Cookies

Exposure over time (credentials leaked per month)

2024-012026-05

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

Microsoft 365162
Salesforce12
Citrix6

Most common passwords 48% reuse a top-10 password

Jy***8077
Sh***2156
pa***om55
Se***2351
pa***2351
Sk***4536
Sk***3434
Va***0831
Bh***2330
we***2330

Stolen sessions (active cookies that can bypass MFA)

youtube.com662
google.com387
smaato.net172
pubmatic.com135
mail.google.com108
accounts.google.com104

Financial, crypto & app tokens

App / session tokens
Google2

Browsers & apps affected

android:benefit.howden13
Google Chrome (Default)9
Google Chrome (Profile 1)1
Microsoft Edge (Default)1

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.