Back

openload.co Domain Breach Exposure Report

Risk Score

High Risk

Massive event volume or critical assets compromised.

AI Findings Summary

Critical

The domain openload.co has experienced a significant exposure event, with over 190,000 total events recorded between July 2025 and June 2026. The majority of these events, approximately 86.7%, are attributed to historical data breaches, impacting over 187,000 clients. Additionally, there are over 25,000 active infostealer logs, indicating ongoing compromise. A notable spike in employee-related events occurred in February 2026, with 2,561 instances, suggesting a potential targeted attack or widespread credential compromise affecting personnel. Given the high volume of data breaches and active infostealer activity, this exposure presents a critical risk. The prevalence of malware families like Redline, LummaC2, and Rhadamanthys, commonly used for credential theft, further elevates the threat. Remediation efforts should focus on immediate credential rotation for all affected employees and clients, enhanced monitoring for suspicious activity on the openload.co domain, and a thorough investigation into the root cause of the data breaches and infostealer infections. The primary focus should be on securing client data and preventing further unauthorized access.

Total Events

190,591
credential exposure events

Employee Affected Events

2,707
account email domain = openload.co

Client Affected Events

187,884
service target = openload.co

Free Community Account

Stop stolen credentials from logging in

Own this domain? Create a free Lunar account to see full exposure data and evidence.

12-Month Events Timeline

Event volume by breach date, employee VS client

EmployeesClients
50,00033,33316,6670
peak month 46,609
Jul 25Sep 25Nov 25Jan 26Mar 26May 26Jun 26

Infostealers VS Data Breaches

Live stealer logs VS data breaches

Infostealer logs
Events25,347
Share13%
Data breaches
Events165,244
Share87%
Infostealer logs (13%)
25,347events
Data breaches (87%)
165,244events

2,707 compromised employee accounts pose an infrastructure risk, while 187,884 leaked client credentials create regulatory liability.

Antivirus Distribution

Security Tools on Infected Endpoints

Windows Defender194
Windows Defender.23
None7
Windows Defender Avira Security 卡巴斯基全方位安全軟體6
Windows Defender Avast Antivirus.4
360 Total Security4
Avast AVG3
Windows Defender [ON]3
Windows Defender 卡巴斯基全方位安全軟體 Avira Security2

Malware Families Distribution

Distribution of Active Stealer Strains

Redline5,144
LummaC24,264
Rhadamanthys1,994
Vidar1,889
Acreed1,629
StealC805
RisePro709
Raccoon210
Millenium179

Top Login URLs

Top exposed services found in the event results

  1. 1https://openload.co/register58,322
  2. 2openload.co/register40,094
  3. 3https://openload.co31,100
  4. 4openload.co29,069
  5. 5https://openload.co/login9,320
  6. 6openload.co/login6,563
  7. 7https://openload.co/4,556
  8. 8openload.co/2,967
  9. 9http://openload.co/register1,521
  10. 10http://openload.co366

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
Events1,389
Brazil
Events1,045
Egypt
Events904
Mexico
Events713
United States
Events709
Thailand
Events703
Spain
Events614
Philippines
Events461

Country Breakdown

  1. 1India1,389
  2. 2Brazil1,045
  3. 3Egypt904
  4. 4Mexico713
  5. 5United States709
  6. 6Thailand703
  7. 7Spain614
  8. 8Philippines461

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 x642,326
Windows 111,688
Windows 10 Pro1,409
Windows 10 Pro (10.0.19045) x64949
Windows 10 Home x64936

Leak Repository Classification

Where the exposed records currently reside

0
Named breaches
165,212
Combolist pools
32
Unattributed dumps

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