ShadowMap

Dark Web Exposure for janalakshmi.com

Credentials, devices and data found in dark web stealer logs & breaches
55
Exposure level: High
janalakshmi.com scores 55/100 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 -28% 76% reuse a top-10 password
Employee exposure
corporate accounts — @janalakshmi.com
915
leaked credentials · 326 compromised devices
Top exposed employee accounts
rajaganapath***@janalakshmi.com933
sandip.mai***@janalakshmi.com101
deepak.k.***@janalakshmi.com65
sarathkumar.m.***@janalakshmi.com54
raushan.kumar.***@janalakshmi.com53
Where staff accounts were caught
mail.janalakshmi.com311
helpdesk.janabank.com143
webmail.logix.in138
cpanel.logix.in82
login.salesforce.com74
Customer exposure
stolen logins for janalakshmi.com
534
leaked credentials · 192 compromised devices
Top exposed customer accounts
rajaganapath***@janalakshmi.com309
sandip.mai***@janalakshmi.com101
raushan.kumar.***@janalakshmi.com53
umesh.shb***@jbzblbkshmo.cem32
roshanprasad.jais***@janalakshmi.com28
Most targeted services
mail.janalakshmi.com356
mapi.janalakshmi.com91
los.janalakshmi.com26
helpdesk.janalakshmi.com20
fos.janalakshmi.com17
1,108
Exposed Credentials
330
Compromised Devices
0
Credit Cards
0
Crypto Wallets
9
Auth Tokens
17,155
Stolen Cookies

Exposure over time (credentials leaked per month)

2024-012026-05

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

Salesforce78

Most common passwords 76% reuse a top-10 password

Ma***23100
De***2363
Rk***1450
Pa***2342
Pb***3832
Zo***0416
Sa***3415
Sa***4311
GT***0910
Ra***4510

Stolen sessions (active cookies that can bypass MFA)

youtube.com347
criteo.com167
rubiconproject.com143
www.bing.com139
code.21wiz.com138
adnxs.com136

Financial, crypto & app tokens

App / session tokens
Google9

Browsers & apps affected

Microsoft Edge (Default)6
Google Chrome (Profile 1)3
android:blue.trtf2

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.