carwale.com Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The telemetry indicates a significant exposure event for carwale.com, with 6172 total events observed over the reporting period. The majority of these events are categorized as historical data breaches (4536) and active infostealer logs (1636). The data suggests a substantial risk to both employees (855) and clients (5317), with a high overall risk score of 93. The timeline shows a notable increase in client-related events in September 2025 and March-June 2026, coinciding with spikes in employee-related events in September 2025 and January-February 2026. Malware families such as LummaC2, Rhadamanthys, and Vidar are prevalent, indicating potential credential harvesting and data exfiltration activities. The primary source of leaked data appears to be combolist sources (89.9%), suggesting compromised credentials are a major concern.
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
855 compromised employee accounts pose an infrastructure risk, while 5,317 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.