ShadowMap

Dark Web Exposure for godrej.com

Credentials, devices and data found in dark web stealer logs & breaches
56
Exposure level: High
godrej.com scores 56/100 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 +49% 17% reuse a top-10 password
Employee exposure
corporate accounts — @godrej.com
1,559
leaked credentials · 246 compromised devices
Top exposed employee accounts
ngod***@godrej.com482
suj***@godrej.com129
swana***@godrej.com120
hite***@godrej.com44
saga***@godrej.com40
Where staff accounts were caught
login.microsoftonline.com308
connect.godrej.com64
eu-north-1.signin.aws.amazon.com46
inmatri.com40
wetransfer.com31
Customer exposure
stolen logins for godrej.com
7,736
leaked credentials · 639 compromised devices
Top exposed customer accounts
mainak259
vermas133
sujitm116
wdx004433104
anilkuma100
Most targeted services
smartnetasp.godrej.com1,195
www.gnbwebserver.godrej.com602
websrv.godrej.com479
gnbwebserver.godrej.com457
franchiseeworld.godrej.com302
9,141
Exposed Credentials
658
Compromised Devices
0
Credit Cards
0
Crypto Wallets
0
Auth Tokens
11,606
Stolen Cookies

Exposure over time (credentials leaked per month)

2024-012026-05

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

Microsoft 365322
Amazon/AWS61
Salesforce32
Atlassian11
Adobe9

Most common passwords 17% reuse a top-10 password

Ni***53131
Pa***@1107
Na***6@104
go***ej79
26***9777
Ch***2474
Mu***4567
Ki***4*63
Ch***2362
Na***1253

Stolen sessions (active cookies that can bypass MFA)

www.nykaa.com574
youtube.com365
salesforce.com294
zoom.us217
bing.com216
wondershare.net195

Where devices were compromised (by country)

IN1

Browsers & apps affected

Browser/Logins/Chrome_Default[ac0b58b8].txt203
Google Chrome (Profile 15)42
Browser/Logins/Chrome_Default[ce4c324a].txt14
Browser/Logins/Chrome_Profile 2[10d465c1].txt11
Edge [Default]11
Google Chrome (Default)3

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.