nikkeibp.co.jp Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The domain nikkeibp.co.jp has experienced a high volume of data breaches and infostealer activity over the past year, with a significant portion of events originating from "Combolist sources." The timeline indicates a surge in client-related data breaches starting in March 2026, alongside a notable increase in employee-related breaches in September 2025 and January 2026. Malware families such as LummaC2, Rhadamanthys, and Redline are prevalent, suggesting active credential harvesting and data exfiltration campaigns targeting the organization's clients and employees. This exposure presents a critical risk due to the sheer volume of historical data breaches and ongoing infostealer activity, impacting over 6,000 clients and 1,000 employees. The prevalence of credential stuffing and data dumps indicates a high likelihood of compromised credentials being used in further attacks. Remediation should focus on strengthening authentication mechanisms, particularly for client-facing services like signon.nikkeibp.co.jp and medical.nikkeibp.co.jp, implementing robust endpoint security to detect and block infostealer malware, and conducting thorough investigations into the identified data breaches to understand the scope of compromised data and affected individuals.
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
1,026 compromised employee accounts pose an infrastructure risk, while 6,064 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.