ShadowMap

Dark Web Exposure for mahindralogistics.com

Credentials, devices and data found in dark web stealer logs & breaches
53
Exposure level: Elevated
mahindralogistics.com scores 53/100 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 +31% 63% reuse a top-10 password
Employee exposure
corporate accounts — @mahindralogistics.com
50
leaked credentials · 29 compromised devices
Top exposed employee accounts
29000***@mahindralogistics.com484
29000***@mahindralogistics.com236
25007***@mahindralogistics.com151
ghosh.pa***@mahindralogistics.com109
ghosh palas <ghosh.pa***@mahindralogistics.com>,88
Where staff accounts were caught
nectar.darwinbox.in22
ess.hgsbs.com8
login.microsoftonline.com6
logifreight.mahindralogistics.com2
login.mahindralogistics.com2
Customer exposure
stolen logins for mahindralogistics.com
597
leaked credentials · 229 compromised devices
Top exposed customer accounts
hyperwingstechnolog***@gmail.com105
10001861790
904204268690
guin.nayan***@mahindra.com77
2318924342
Most targeted services
connect.mahindralogistics.com272
billhub.mahindralogistics.com164
mycargo360.mahindralogistics.com81
mlep.mahindralogistics.com36
mycargo739.mahindralogistics.com6
643
Exposed Credentials
239
Compromised Devices
0
Credit Cards
0
Crypto Wallets
1
Auth Tokens
2,233
Stolen Cookies

Exposure over time (credentials leaked per month)

2024-012026-05

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

Microsoft 3656
Amazon/AWS3

Most common passwords 63% reuse a top-10 password

Bh***2332
Sa***1430
Bu***9228
In***2327
ru***Za27
CI***5018
Sh***0517
Ra***2316
10***Q=14
Lk***2713

Stolen sessions (active cookies that can bypass MFA)

freeporn8.com43
go.sonobi.com40
porndr.com38
rollingstone.com36
youtube.com33
impactserving.com29

Financial, crypto & app tokens

App / session tokens
Google1

Browsers & apps affected

Google Chrome (Default)4

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.