yodobashi.com Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The telemetry indicates a significant exposure event impacting yodobashi.com, with a high risk score of 93. The primary concern stems from 32,296 historical data breaches, predominantly linked to "Combolist sources" (99.9%), suggesting compromised credential reuse. Additionally, 6,822 active infostealer logs were observed, with LummaC2, Redline, and Rhadamanthys being the most prevalent malware families. The timeline shows a notable increase in employee and client-related events from March 2026 onwards, with a peak in April 2026. The affected services are primarily related to the "order.yodobashi.com" domain, including login and order processing pages. The majority of the exposure originates from Japan. Given the high volume of historical data breaches and active infostealer activity, this situation poses a critical risk to both clients and employees. The prevalence of credential stuffing attacks, indicated by "Combolist sources," suggests that compromised credentials from other breaches are being used to access yodobashi.com accounts. Remediation should focus on immediate credential reset campaigns for all users, enhanced monitoring for suspicious login activity, and strengthening authentication mechanisms. Further investigation into the specific infostealer campaigns and their targets is also recommended.
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
150 compromised employee accounts pose an infrastructure risk, while 38,968 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.