zum.com Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The domain zum.com exhibits a high-risk score of 82, primarily driven by a significant volume of historical data breaches (2522 events) and active infostealer logs (432 events) over the past year. The data indicates a substantial exposure affecting 2732 clients and 222 employees, with a notable concentration of activity in South Korea. Malware families like LummaC2 and Redline are prevalent, suggesting ongoing credential harvesting and potential further compromise. The timeline shows a surge in client-related events from September 2025 through April 2026, coinciding with increased employee exposure in March and April 2026. The high number of data breaches and infostealer activity, coupled with the prevalence of credential-harvesting malware, indicates a critical risk of account compromise and sensitive data exfiltration. The focus for remediation should be on immediate incident response to contain active infostealer infections, thorough investigation of the historical data breaches to understand the root cause and scope of exposure, and enhanced security measures for client and employee accounts, particularly those originating from South Korea. Implementing robust endpoint detection and response, credential monitoring, and user awareness training is paramount.
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
222 compromised employee accounts pose an infrastructure risk, while 2,732 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.