gevernova.com Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The domain gevernova.com exhibits a high-risk score of 87, primarily driven by a significant volume of historical data breaches (1004 events) and active infostealer logs (385 events) over the observed period. The data indicates a substantial exposure of client information, accounting for 947 events, and employee data, with 442 events. Malware families such as LummaC2, Vidar, and Rhadamanthys are prevalent, suggesting active compromise and data exfiltration attempts. The targeted services are primarily login pages, including `login.aspx` and `login` endpoints, indicating potential credential stuffing or phishing attacks aimed at these authentication points. The leak repository classification shows a high proportion of data originating from combolist sources, further supporting the likelihood of credential-based attacks.
Total Events
Employee Affected Events
Client Affected Events
Free Community Account
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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
442 compromised employee accounts pose an infrastructure risk, while 947 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.