zozo.jp Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The domain zozo.jp has experienced a high-risk score of 87, primarily driven by a significant volume of historical data breaches (79.7%) and active infostealer logs (20.3%) over the past year. The data breaches suggest a past compromise affecting approximately 14,895 clients, while infostealer activity indicates ongoing threats targeting credentials. The timeline shows a notable increase in both employee and client-related events in March and April 2026, coinciding with elevated infostealer activity. Malware families like Vidar, LummaC2, and Rhadamanthys are frequently observed, known for their credential-stealing capabilities. The targeted services include login and registration pages for zozo.jp, indicating a focus on user account compromise. The majority of observed activity originates from Japan, with smaller amounts from Taiwan and Vietnam.
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
93 compromised employee accounts pose an infrastructure risk, while 18,607 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.