tbs.co.jp Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The telemetry indicates a significant exposure of client and employee data, with 1,627 client-related events and 229 employee-related events observed over the reporting period. A substantial portion of these events, 1,437, are classified as historical data breaches, while 419 are active infostealer logs. The malware families distribution shows a high prevalence of Redline (44.9%), Acreed (7.6%), and LummaC2 (7.4%), all known for credential theft. The targeted services include internal systems like guest Wi-Fi and AgileWorks, as well as public-facing shopping portals, suggesting a broad attack surface. The leak repository classification indicates that 93.9% of the observed data originated from combolist sources, implying credential stuffing or reuse of compromised credentials.
Total Events
Employee Affected Events
Client Affected Events
Free Community Account
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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
229 compromised employee accounts pose an infrastructure risk, while 1,627 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.