ShadowMap

Dark Web Exposure for gupshup.io

Credentials, devices and data found in dark web stealer logs & breaches
57
Exposure level: High
gupshup.io scores 57/100 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 +86% 40% reuse a top-10 password
Employee exposure
corporate accounts — @gupshup.io
190
leaked credentials · 101 compromised devices
Top exposed employee accounts
rajnish.mis***@gupshup.io134
mic***@gupshup.io25
botpresal***@gupshup.io16
cathie.pi***@gupshup.io10
***@gupshup.io4
Where staff accounts were caught
sr.knowlarity.com68
login.salesforce.com25
sr-beta.knowlarity.com24
console.gupshup.io16
accounts.google.com6
Customer exposure
stolen logins for gupshup.io
1,653
leaked credentials · 477 compromised devices
Top exposed customer accounts
***@eatclub.in118
market***@anudaarchitect.com65
mahdi.kh.020***@gmail.co63
hevoteamoffic***@gmail.com46
shivam141***@gmail.com40
Most targeted services
login.gupshup.io831
www.gupshup.io300
console-login.gupshup.io219
unified-whatsapp-analytics.gupshup.io107
console.gupshup.io48
1,816
Exposed Credentials
524
Compromised Devices
0
Credit Cards
0
Crypto Wallets
183
Auth Tokens
111,821
Stolen Cookies

Exposure over time (credentials leaked per month)

2024-012026-05

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

Salesforce25
Google Workspace6
Slack5
DocuSign2
Atlassian1

Most common passwords 40% reuse a top-10 password

Gu***23171
FZ***oR92
Ar***2465
82***i!48
pi***A945
Pr***2340
SH***8740
Sh***7540
%T***4%32
Un***4$32

Stolen sessions (active cookies that can bypass MFA)

youtube.com3,569
google.com3,236
pubmatic.com1,343
media.net1,029
adnxs.com999
rubiconproject.com971

Financial, crypto & app tokens

App / session tokens
Google179
Telegram4

Browsers & apps affected

Microsoft Edge (Default)13
Chrome Profile 64 (131.0.6778.205)8
Edge [Default]4
Chrome [Default]2
Google Chrome (Profile 1)2

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.