hatenablog.jp Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The telemetry indicates a significant exposure related to the "hatenablog.jp" domain, with 190 historical data breaches and 77 active infostealer logs observed over the period from July 2025 to June 2026. The majority of these events are linked to "Combolist sources," suggesting compromised credential reuse. The timeline shows a notable increase in employee and client-related events starting in January 2026, peaking in April 2026, with 40 employee and 76 client events recorded in that month alone. Malware families like Redline and LummaC2 are present, indicating potential credential harvesting and exfiltration activities. The targeted services are primarily related to the "hatenablog.jp" login and home pages, with Windows 11 being the most prevalent operating system affected.
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
75 compromised employee accounts pose an infrastructure risk, while 192 leaked client credentials create regulatory liability.
Antivirus Distribution
Security Tools on Infected Endpoints
No Data Available
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.