kinozal.tv Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The domain kinozal.tv has experienced a significant exposure event, with 79,922 total events recorded between July 2025 and June 2026. The majority of these events, 87.6%, are classified as historical data breaches, impacting 69,998 records. Additionally, 12.4% of events are active infostealer logs, totaling 9,924. The timeline indicates a surge in employee-related events in September 2025 and April 2026, while client-related events show peaks in August 2025, March 2026, and April 2026. The primary malware families observed are Redline, Rhadamanthys, and LummaC2, all known for credential and information theft. The data suggests that the kinozal.tv domain itself and its signup/login pages were targeted services. The exposure originates primarily from combolist sources, indicating compromised credentials being traded or sold.
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
4,007 compromised employee accounts pose an infrastructure risk, while 75,915 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.