iza.ne.jp Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The domain iza.ne.jp has experienced a significant number of historical data breaches, totaling 452 events, which constitute 85% of all observed events. Additionally, there were 80 active infostealer logs, representing 15% of the total events. The timeline indicates a surge in client-related events starting in August 2025 and a substantial increase in both employee and client events from March 2026 onwards, peaking in April 2026. Malware families associated with these events include Redline and LummaC2. The primary leak source appears to be combolist sources, with no database dumps identified. The high volume of historical data breaches and active infostealer logs, coupled with the recent increase in employee and client-related events, suggests a persistent and evolving threat. The prevalence of Redline and LummaC2 malware indicates potential credential harvesting and further compromise. Prioritization should focus on immediate remediation of identified vulnerabilities, credential reset for affected employees and clients, and enhanced monitoring for further suspicious activity. The observed events are predominantly linked to combolist sources, highlighting the need to address credential stuffing and brute-force attack vectors.
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
108 compromised employee accounts pose an infrastructure risk, while 424 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.