okwave.jp Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The domain okwave.jp has experienced a significant number of data breach events, totaling 2007, and 562 infostealer events over the period of July 2025 to June 2026. The majority of these events, 78.1%, are attributed to historical data breaches, while 21.9% are active infostealer logs. The timeline shows a notable increase in client-related events from March 2026 onwards, with a smaller but present number of employee-related events also appearing in March, April, and May 2026. Malware families such as Rhadamanthys, Redline, and LummaC2 are frequently observed, indicating potential credential harvesting and data exfiltration activities. The targeted services primarily include registration, login, and the main domain, suggesting that user account compromise is a key objective. The geographical breakdown shows a concentration of events originating from Japan, India, Nigeria, and Pakistan.
Total Events
Employee Affected Events
Client Affected Events
Free Community Account
Stop stolen credentials from logging in
Own this domain? Create a free Lunar account to see full exposure data and evidence.Disclaimer: This report was generated automatically using Lunar's telemetry data. If you own this domain or manage its cybersecurity, create a free Lunar Community account to view the underlying exposure data and evidence.
12-Month Events Timeline
Event volume by breach date, employee VS client
Infostealers VS Data Breaches
Live stealer logs VS data breaches
63 compromised employee accounts pose an infrastructure risk, while 2,506 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.