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hosyusokuhou.jp 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 the domain hosyusokuhou.jp, with a total of 383 recorded events over the period of July 2025 to June 2026. A substantial portion of these events, 292 (76.2%), are classified as historical data breaches, primarily originating from "Combolist sources." Additionally, 91 (23.8%) events are identified as active infostealer logs, with "Redline" and "LummaC2" being the most prevalent malware families observed. The exposure appears to have escalated in March 2026, with a notable increase in both employee and client-related events, suggesting a potential compromise of credentials or sensitive information. The targeted services are predominantly related to the hosyusokuhou.jp domain and its login functionalities, indicating a focus on credential harvesting. The high volume of historical data breaches, coupled with active infostealer activity, presents a considerable risk of account takeover, identity theft, and further data exfiltration. The observed malware families, Redline and LummaC2, are known for their ability to steal credentials and sensitive data from infected systems. The timeline shows a sharp increase in client-related events from March 2026 onwards, suggesting that client data may be at risk. Prioritization should focus on immediate remediation of identified vulnerabilities, credential reset for affected users, and enhanced monitoring for suspicious activities targeting the hosyusokuhou.jp domain and its associated services. The geographical breakdown shows a concentration of affected systems in the United States, Germany, and China, which may warrant targeted investigations and communication.

Total Events

383
credential exposure events

Employee Affected Events

113
account email domain = hosyusokuhou.jp

Client Affected Events

270
service target = hosyusokuhou.jp

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12-Month Events Timeline

Event volume by breach date, employee VS client

EmployeesClients
10067330
peak month 84
Jul 25Sep 25Nov 25Jan 26Mar 26May 26Jun 26

Infostealers VS Data Breaches

Live stealer logs VS data breaches

Infostealer logs
Events91
Share24%
Data breaches
Events292
Share76%
Infostealer logs (24%)
91events
Data breaches (76%)
292events

113 compromised employee accounts pose an infrastructure risk, while 270 leaked client credentials create regulatory liability.

Antivirus Distribution

Security Tools on Infected Endpoints

No Data Available

Malware Families Distribution

Distribution of Active Stealer Strains

Redline18
LummaC211

Top Login URLs

Top exposed services found in the event results

  1. 1hosyusokuhou.jp41
  2. 2https://hosyusokuhou.jp39
  3. 3https://hosyusokuhou.jp/home25
  4. 4https://hosyusokuhou.jp/logon22
  5. 5hosyusokuhou.jp/login20
  6. 6https://hosyusokuhou.jp/login20
  7. 7https://www.hosyusokuhou.jp18
  8. 8https://hosyusokuhou.jp/18
  9. 9hosyusokuhou.jp/home17
  10. 10hosyusokuhou.jp/15

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
Events22
Germany
Events11
China
Events6
Netherlands
Events5
Denmark
Events5
South Africa
Events4
India
Events3
Guatemala
Events3

Country Breakdown

  1. 1United States22
  2. 2Germany11
  3. 3China6
  4. 4Netherlands5
  5. 5Denmark5
  6. 6South Africa4
  7. 7India3
  8. 8Guatemala3

Services Classification Distribution

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

-
Total

Operating System Distribution

Distribution of compromised endpoint builds

Windows 1140
Windows Vista x323
Windows 10 Enterprise x323
Windows 10 Home x323
Windows Server 2008 x322

Leak Repository Classification

Where the exposed records currently reside

0
Named breaches
292
Combolist pools
0
Unattributed dumps

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