panda.tv Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The telemetry indicates a significant exposure event impacting approximately 14,826 clients and 13 employees, primarily through historical data breaches (90.2%) and active infostealer logs (9.8%). The data breach activity peaked in March 2026, with a notable increase in employee compromise also observed in January and March 2026. Malware families such as Redline, Rhadamanthys, and Acreed are prevalent in the infostealer logs, suggesting credential harvesting and potential further compromise. The majority of the data breach evidence originates from "Combolist sources," indicating compromised credentials being aggregated and sold. The high risk score of 83, coupled with the large volume of client data breaches and active infostealer activity, warrants immediate attention. The focus should be on identifying the root cause of the data breaches, likely related to credential stuffing or phishing campaigns targeting clients and employees. Remediation efforts should prioritize credential reset for affected users, enhanced monitoring for suspicious activity, and strengthening authentication mechanisms to prevent future credential-based compromises. Given the nature of the data and the domain, the primary sector is likely related to online services or content.
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
13 compromised employee accounts pose an infrastructure risk, while 14,826 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.