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gamepedia.com Domain Breach Exposure Report

Risk Score

High Risk

Massive event volume or critical assets compromised.

AI Findings Summary

Critical

The domain gamepedia.com has experienced a significant number of data breaches and infostealer events between July 2025 and June 2026, with a total of 17,410 recorded incidents. The majority of these events, 15,962, are classified as historical data breaches, while 1,448 are active infostealer logs. Notably, there was a surge in employee-related events in March and April 2026, with 15 and 62 employees affected respectively, alongside a substantial increase in client-related events during the same period. The most prevalent malware families observed are Redline, Acreed, and LummaC2, all commonly associated with credential theft and data exfiltration. This exposure presents a high-risk scenario due to the sheer volume of data breaches and the active presence of infostealer malware targeting credentials. The recent increase in employee-affected events, particularly in March and April 2026, suggests a potential compromise of internal systems or employee accounts, which could lead to further unauthorized access and data exfiltration. Prioritization should focus on immediate incident response to contain active infostealer infections, comprehensive credential hygiene for both employees and clients, and a thorough investigation into the root cause of the historical data breaches to prevent recurrence. The primary focus for remediation should be on securing authentication mechanisms and enhancing endpoint security to mitigate the impact of infostealer malware.

Total Events

17,410
credential exposure events

Employee Affected Events

111
account email domain = gamepedia.com

Client Affected Events

17,299
service target = gamepedia.com

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12-Month Events Timeline

Event volume by breach date, employee VS client

EmployeesClients
5,0003,3331,6670
peak month 4,800
Jul 25Sep 25Nov 25Jan 26Mar 26May 26Jun 26

Infostealers VS Data Breaches

Live stealer logs VS data breaches

Infostealer logs
Events1,448
Share8%
Data breaches
Events15,962
Share92%
Infostealer logs (8%)
1,448events
Data breaches (92%)
15,962events

111 compromised employee accounts pose an infrastructure risk, while 17,299 leaked client credentials create regulatory liability.

Antivirus Distribution

Security Tools on Infected Endpoints

Windows Defender10

Malware Families Distribution

Distribution of Active Stealer Strains

Redline256
Acreed207
LummaC2206
Rhadamanthys162
Vidar90
Millenium34
StealC21
Raccoon10
RisePro9

Top Login URLs

Top exposed services found in the event results

  1. 1https://fandomauth.gamepedia.com/register1,265
  2. 2fandomauth.gamepedia.com/register1,105
  3. 3fandomauth.gamepedia.com743
  4. 4https://fandomauth.gamepedia.com741
  5. 5gamepedia.com685
  6. 6https://gamepedia.com536
  7. 7https://www.gamepedia.com427
  8. 8https://fandomauth.gamepedia.com/signin409
  9. 9fandomauth.gamepedia.com/signin377
  10. 10gamepedia.com/login350

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.

United States
Events171
Brazil
Events82
Germany
Events48
France
Events43
United Kingdom
Events40
Thailand
Events34
Argentina
Events33
Italy
Events33

Country Breakdown

  1. 1United States171
  2. 2Brazil82
  3. 3Germany48
  4. 4France43
  5. 5United Kingdom40
  6. 6Thailand34
  7. 7Argentina33
  8. 8Italy33

Services Classification Distribution

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

-
Total

Operating System Distribution

Distribution of compromised endpoint builds

Windows 11206
Windows 10 Enterprise x64129
Windows 10119
Windows 11 24H2 build 26100 (64 Bit)98
Windows 10 Home x6464

Leak Repository Classification

Where the exposed records currently reside

0
Named breaches
15,959
Combolist pools
3
Unattributed dumps

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