ShadowMap

Dark Web Exposure for observe.ai

Credentials, devices and data found in dark web stealer logs & breaches
48
Exposure level: Elevated
observe.ai scores 48/100 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 -51% 100% reuse a top-10 password
Employee exposure
corporate accounts — @observe.ai
9
leaked credentials · 3 compromised devices
Top exposed employee accounts
pente***@observe.ai7
jijo.jos***@observe.ai6
Where staff accounts were caught
app.observe.ai7
observeai.okta.com2
Customer exposure
stolen logins for observe.ai
162
leaked credentials · 84 compromised devices
Top exposed customer accounts
daniel.good***@newcrosshealthcare.com43
amr.ra***@flairstech.com32
sienna.bur***@nationsinfocorp.com19
aa***@colossus.com8
natasha.wo***@newcrosshealthcare.com7
Most targeted services
app.observe.ai105
app-internal.observe.ai54
hands-on-ml-interview.observe.ai3
164
Exposed Credentials
84
Compromised Devices
0
Credit Cards
0
Crypto Wallets
8
Auth Tokens
18,870
Stolen Cookies

Exposure over time (credentials leaked per month)

2024-012026-05

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

Okta2

Most common passwords 100% reuse a top-10 password

Sh***3028
Sa***2327
Si***1519
Dc***297
Ju***c55
be***234
sh***304
22***923
@O***3#3
#I***451

Stolen sessions (active cookies that can bypass MFA)

youtube.com534
pubmatic.com318
smaato.net312
adnxs.com270
media.net270
criteo.com267

Financial, crypto & app tokens

App / session tokens
Google8

Browsers & apps affected

Edge [Default]2
Browser/Logins/Edge_Default[1abf191c].txt1

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.