weathernews.jp Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The telemetry indicates a significant exposure event impacting weathernews.jp, with 1373 total events observed between July 2025 and June 2026. The majority of these events, 1196, are classified as historical data breaches, primarily originating from "Combolist sources" (1190 instances). Additionally, 177 events are identified as active infostealer logs, with LummaC2, Redline, and Rhadamanthys being the most prevalent malware families. The exposure primarily affects clients (1298) but also includes employees (75). Targeted services include the main domain, subscription pages, and login portals, suggesting potential credential compromise and unauthorized access. The data suggests a high risk of further compromise and data exfiltration due to the prevalence of infostealer malware and the nature of the data breach origins.
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
75 compromised employee accounts pose an infrastructure risk, while 1,298 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.