google.dk Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The telemetry indicates a significant exposure event affecting 244 employees and 328 clients, primarily driven by 455 historical data breaches and 117 active infostealer logs over the period of July 2025 to June 2026. The data breaches and infostealer activity are heavily concentrated on the google.dk domain and its subdomains, with a notable peak in employee and client compromise during April 2026. Malware families such as Redline, LummaC2, and Acreed are implicated, suggesting credential harvesting and potential further compromise. The majority of the exposure originates from "Combolist sources" and "Database dumps," indicating compromised credentials being traded or sold. Given the high volume of data breaches and infostealer activity targeting a prominent domain like google.dk, this incident poses a critical risk. The prevalence of credential stuffing and harvesting malware suggests a high likelihood of unauthorized access to sensitive systems and data. Prioritization should focus on immediate credential reset for all affected employees and clients, enhanced monitoring for suspicious activity on the google.dk domain, and a thorough investigation into the root cause of the data breaches and infostealer infections, particularly concerning the identified malware families and leak sources.
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
244 compromised employee accounts pose an infrastructure risk, while 328 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.