goo.ne.jp Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The domain goo.ne.jp has experienced a significant number of data breaches and infostealer events, totaling over 27,983 incidents within the reporting period. The majority of these events, 93.6%, are classified as historical data breaches, with 2,6194 instances recorded. Additionally, 1,789 active infostealer logs were detected, representing 6.4% of the total events. The timeline indicates a surge in employee and client-related events, particularly in September 2025 and February 2026, suggesting a period of heightened compromise. The primary targeted service appears to be mail.goo.ne.jp, with numerous login and registration endpoints being accessed. Given the high volume of data breaches and the prevalence of infostealer activity, this exposure presents a critical risk. The data indicates a strong correlation with "Combolist sources" (64.5%) and "Database dumps" (35.5%) within leak repositories, suggesting credential stuffing and data exfiltration are primary attack vectors. The malware families observed, such as Redline, LummaC2, and Rhadamanthys, are commonly associated with credential theft and espionage. Remediation should focus on immediate credential reset for all affected users, enhanced monitoring of mail.goo.ne.jp for suspicious login activity, and a thorough review of data security practices to prevent future data exfiltration.
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
2,543 compromised employee accounts pose an infrastructure risk, while 25,440 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.