inel.com Domain Breach Exposure Report
Risk Score
Moderate exposure in standard leak repositories.
AI Findings Summary
The domain inel.com has experienced a significant number of data breaches, totaling 69 events over the reporting period, with an additional 10 active infostealer logs. The majority of these events, 87.3%, are attributed to historical data breaches, while 12.7% are linked to active infostealer activity. The timeline indicates a surge in employee-related events in September 2025 and March 2026, with a notable increase in client-related events in September 2025 and March-April 2026. Malware families associated with the infostealer activity include Redline, LummaC2, and Vidar. The data breaches primarily originate from combolist sources (84.1%) and database dumps (15.9%), with a concentration of activity observed in Peru. Operating systems most affected are Windows 11 Pro and Windows 10 Enterprise x64.
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
51 compromised employee accounts pose an infrastructure risk, while 28 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.