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wikibooks.org 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 8,107 clients and 108 employees, primarily driven by 6,905 historical data breaches and 1,310 active infostealer logs. The data breaches are overwhelmingly sourced from "Combolist sources," suggesting credential stuffing or account takeover attempts. Malware families like Redline, LummaC2, and Vidar are prevalent, indicating active credential harvesting and exfiltration. The timeline shows a notable increase in employee and client exposure during March and April 2026, coinciding with a surge in client-related events. This exposure presents a high risk due to the sheer volume of compromised client accounts and the active presence of infostealer malware. The reliance on "Combolist sources" for data breaches points to a widespread credential compromise that could facilitate further account takeovers and potentially lead to financial fraud or identity theft. Remediation should focus on immediate credential resets for all affected employees and clients, enhanced monitoring for suspicious login activity, and a review of authentication mechanisms to prevent future credential stuffing attacks. Given the nature of the data and the services targeted (wikibooks.org), the primary sector affected is likely Technology & SaaS.

Total Events

8,215
credential exposure events

Employee Affected Events

108
account email domain = wikibooks.org

Client Affected Events

8,107
service target = wikibooks.org

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12-Month Events Timeline

Event volume by breach date, employee VS client

EmployeesClients
2,5001,6678330
peak month 2,067
Jul 25Sep 25Nov 25Jan 26Mar 26May 26Jun 26

Infostealers VS Data Breaches

Live stealer logs VS data breaches

Infostealer logs
Events1,310
Share16%
Data breaches
Events6,905
Share84%
Infostealer logs (16%)
1,310events
Data breaches (84%)
6,905events

108 compromised employee accounts pose an infrastructure risk, while 8,107 leaked client credentials create regulatory liability.

Antivirus Distribution

Security Tools on Infected Endpoints

Windows Defender20
Windows Defender ESET Security.2
Windows Defender.1
Windows Defender VirusScan de McAfee VirusScan de McAfee .1
Windows Defender Avast Antivirus.1

Malware Families Distribution

Distribution of Active Stealer Strains

Redline213
LummaC2194
Vidar154
Rhadamanthys110
Acreed44
StealC29
RisePro18
Blank Grabber11
Raccoon5

Top Login URLs

Top exposed services found in the event results

  1. 1https://en.wikibooks.org/w/index.php821
  2. 2en.wikibooks.org/w/index.php528
  3. 3en.wikibooks.org363
  4. 4https://en.wikibooks.org360
  5. 5https://en.m.wikibooks.org/w/index.php231
  6. 6https://es.wikibooks.org/w/index.php206
  7. 7https://he.wikibooks.org/w/index.php157
  8. 8en.m.wikibooks.org/w/index.php154
  9. 9es.wikibooks.org/w/index.php137
  10. 10https://en.m.wikibooks.org/117

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.

India
Events232
United States
Events62
Indonesia
Events45
Brazil
Events35
Bangladesh
Events31
France
Events22
Egypt
Events21
Colombia
Events20

Country Breakdown

  1. 1India232
  2. 2United States62
  3. 3Indonesia45
  4. 4Brazil35
  5. 5Bangladesh31
  6. 6France22
  7. 7Egypt21
  8. 8Colombia20

Services Classification Distribution

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

-
Total

Operating System Distribution

Distribution of compromised endpoint builds

Windows 10 Enterprise x6491
Windows 1175
Windows 11 Home Single Language67
Windows 11 Home Single Language 25H2 (Build 26200)61
Windows 10 Pro57

Leak Repository Classification

Where the exposed records currently reside

0
Named breaches
6,901
Combolist pools
4
Unattributed dumps

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