google.kz Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The telemetry indicates a significant exposure of 276 historical data breaches and 90 active infostealer logs associated with google.kz. The majority of these events, 75.4%, are historical data breaches, with 24.6% being active infostealer logs. The timeline shows a notable increase in both employee and client-related events from September 2025 onwards, peaking in April 2026. Malware families such as Redline and LummaC2 are present, and the primary targeted services are related to google.kz login and API endpoints. The data originates predominantly from "Combolist sources" (98.2%) within leak repositories, suggesting credential stuffing or account takeover attempts. The high volume of historical data breaches and active infostealer logs, coupled with the targeting of login services, presents a substantial risk of account compromise and potential further data exfiltration. The prevalence of "Combolist sources" indicates that compromised credentials are being actively leveraged. Prioritization should focus on immediate credential hygiene, multi-factor authentication enforcement, and monitoring for anomalous login activity on google.kz and related services. The observed malware families, Redline and LummaC2, are known for stealing credentials and sensitive information, amplifying the risk.
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
109 compromised employee accounts pose an infrastructure risk, while 257 leaked client credentials create regulatory liability.
Antivirus Distribution
Security Tools on Infected Endpoints
No Data Available
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.