blog.jp Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The domain blog.jp exhibits a high risk score of 74, primarily driven by a significant volume of historical data breaches (338 events) and active infostealer logs (88 events) over the observed period. The data indicates a substantial exposure of client information, with 332 client-related events compared to 94 employee-related events. The timeline shows a notable increase in client-related exposures starting in late 2025 and escalating significantly in early 2026, particularly in March and April, coinciding with a rise in employee-related events. Malware families like LummaC2 and Redline were observed, suggesting potential credential harvesting and further compromise. The prevalence of "Combolist sources" in leak repositories, accounting for 100% of the classified leaks, strongly suggests that the data breaches are likely the result of credential stuffing attacks leveraging previously compromised credentials. The targeted services include various subdomains and login pages of blog.jp, indicating a focus on web application vulnerabilities or exposed authentication mechanisms. Given the high volume of client data exposure and the nature of the breaches, prioritizing remediation efforts on securing authentication mechanisms, implementing robust credential management, and enhancing monitoring for suspicious login activity is critical. The presence of both employee and client data in breaches necessitates a comprehensive review of access controls and data protection policies.
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
94 compromised employee accounts pose an infrastructure risk, while 332 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.