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babbel.com Domain Breach Exposure Report

Risk Score

High Risk

Massive event volume or critical assets compromised.

AI Findings Summary

Critical

The telemetry indicates a significant exposure event impacting approximately 242,767 clients and 1,039 employees of babbel.com between July 2025 and June 2026. This exposure is primarily driven by historical data breaches (82.6%) and active infostealer logs (17.4%). The infostealer activity is linked to malware families such as Redline, LummaC2, and Rhadamanthys, suggesting credential harvesting. The data breach component is heavily associated with "Combolist sources," indicating potential credential stuffing or reuse of compromised credentials. The high volume of client data breaches and infostealer activity, coupled with the targeting of services like `android://uVR_Bn149agRNKn5rt6IxnU8I8YtlmLhN-m1xpzEv8Pe1R6EF0hXX6tnjX_B69dNHiCkZUHt-bhDYspAlfnbOA==@com.babbel.mobile.android.en/` and `my.babbel.com`, elevates the risk. Remediation should focus on immediate credential rotation for affected employees and clients, enhanced monitoring for suspicious login activity, and a review of data access controls. Given the nature of the exposure, prioritizing the security of client accounts and personal data is critical.

Total Events

243,806
credential exposure events

Employee Affected Events

1,039
account email domain = babbel.com

Client Affected Events

242,767
service target = babbel.com

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12-Month Events Timeline

Event volume by breach date, employee VS client

EmployeesClients
60,00040,00020,0000
peak month 57,767
Jul 25Sep 25Nov 25Jan 26Mar 26May 26Jun 26

Infostealers VS Data Breaches

Live stealer logs VS data breaches

Infostealer logs
Events42,456
Share17%
Data breaches
Events201,350
Share83%
Infostealer logs (17%)
42,456events
Data breaches (83%)
201,350events

1,039 compromised employee accounts pose an infrastructure risk, while 242,767 leaked client credentials create regulatory liability.

Antivirus Distribution

Security Tools on Infected Endpoints

Windows Defender420
Windows Defender McAfee37
Windows Defender.26
Windows Defender Malwarebytes8
Avast7
Reason Cybersecurity6
Windows Defender Avast Antivirus.6
Avast AVG5
AVG Antivirus5

Malware Families Distribution

Distribution of Active Stealer Strains

Redline12,804
LummaC25,694
Rhadamanthys4,605
Acreed2,792
Vidar2,030
RisePro643
StealC631
Millenium412
Remus256

Top Login URLs

Top exposed services found in the event results

  1. 1android://uVR_Bn149agRNKn5rt6IxnU8I8YtlmLhN-m1xpzEv8Pe1R6EF0hXX6tnjX_B69dNHiCkZUHt-bhDYspAlfnbOA==@com.babbel.mobile.android.en/19,683
  2. 2https://my.babbel.com11,662
  3. 3my.babbel.com11,415
  4. 4https://accounts.babbel.com8,399
  5. 5accounts.babbel.com8,195
  6. 6https://my.babbel.com/5,618
  7. 7https://my.babbel.com/en/welcome/194,606
  8. 8https://lp.babbel.com/d/POR_tutorial.html3,863
  9. 9https://lp.babbel.com/d/SPA_tutorial.html3,766
  10. 10https://lp.babbel.com3,594

Infostealer By Geography

Shows the distribution of Infostealer-related credential exposure events across different geographic regions. The location is determined by analyzing the metadata of the infected machines associated with each event.

Brazil
Events5,804
United States
Events2,500
France
Events1,839
Italy
Events1,721
Spain
Events1,528
Germany
Events1,154
Colombia
Events1,052
Peru
Events986

Country Breakdown

  1. 1Brazil5,804
  2. 2United States2,500
  3. 3France1,839
  4. 4Italy1,721
  5. 5Spain1,528
  6. 6Germany1,154
  7. 7Colombia1,052
  8. 8Peru986

Services Classification Distribution

Blast radius - closer to core = more critical infrastructure, size = credential volume

Microsoft9
Git2

Operating System Distribution

Distribution of compromised endpoint builds

Windows 10 Enterprise x645,907
Windows 10 Home x643,435
Windows 113,042
Windows 11 24H2 build 26100 (64 Bit)2,025
Windows 10 22H2 build 19045 (64 Bit)1,655

Leak Repository Classification

Where the exposed records currently reside

0
Named breaches
200,432
Combolist pools
918
Unattributed dumps

Disclaimer: This report includes AI-generated content. AI can make mistakes, so verify important findings independently before taking action.