mysmartprice.com Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The domain mysmartprice.com has experienced a significant exposure event, with over 23,000 total events recorded between July 2025 and June 2026. The majority of these events, over 21,000, are classified as historical data breaches, with an additional 1,846 events linked to active infostealer logs. The exposure primarily impacts clients, with 23,029 client-related events, and to a lesser extent, employees, with 238 employee-related events. The timeline shows a notable surge in client-related events in March and April 2026, coinciding with a rise in employee-related events during the same period. Malware families such as LummaC2, Redline, and Vidar are frequently observed in connection with these events, indicating potential credential harvesting and data exfiltration activities.
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
238 compromised employee accounts pose an infrastructure risk, while 23,029 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.