gungho.jp Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The telemetry indicates a significant exposure event impacting gungho.jp, with 4789 total events observed over the period. The majority of these events, 84.7%, are historical data breaches, and 15.3% are active infostealer logs. The data breaches primarily originate from "Combolist sources" (98.8%), suggesting compromised credentials. Infostealer activity is linked to malware families such as Redline (16.7%), LummaC2 (14.6%), and Acreed (9.3%), which are known to exfiltrate sensitive information. The targeted services are predominantly related to the "member.gungho.jp" domain, indicating a focus on user authentication credentials. The timeline shows a surge in client-related events in March 2026, with a notable increase in employee-related events in September 2025 and January 2026. This exposure presents a high risk due to the large volume of historical data breaches and active infostealer activity, potentially leading to account takeovers and further compromise. The prevalence of "Combolist sources" suggests that user credentials may have been exposed elsewhere and are being actively tested against gungho.jp services. Remediation should focus on immediate credential reset campaigns for affected users, enhanced monitoring for suspicious login activity on "member.gungho.jp", and strengthening authentication mechanisms to mitigate the impact of credential stuffing attacks.
Total Events
Employee Affected Events
Client Affected Events
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12-Month Events Timeline
Event volume by breach date, employee VS client
Infostealers VS Data Breaches
Live stealer logs VS data breaches
244 compromised employee accounts pose an infrastructure risk, while 4,545 leaked client credentials create regulatory liability.
Antivirus Distribution
Security Tools on Infected Endpoints
Malware Families Distribution
Distribution of Active Stealer Strains
Top Login URLs
Top exposed services found in the event results
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.
Country Breakdown
Services Classification Distribution
Blast radius - closer to core = more critical infrastructure, size = credential volume
Operating System Distribution
Distribution of compromised endpoint builds
Leak Repository Classification
Where the exposed records currently reside
Disclaimer: This report includes AI-generated content. AI can make mistakes, so verify important findings independently before taking action.