iltalehti.fi Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The domain iltalehti.fi has been associated with a significant number of data breach events, totaling 987 over the observed period, with an additional 136 active infostealer logs. The majority of these events, 87.9%, are attributed to historical data breaches, while 12.1% are linked to active infostealer activity. A substantial portion of the data breach evidence originates from "Combolist sources" (85.6%), suggesting compromised credential reuse. The timeline indicates a surge in employee-related events in January 2026 and a peak in client-related events in March 2026. Malware families associated with the activity include Redline (21.3%), RisePro (8.8%), and Vidar (3.7%). The exposure primarily affects the Finnish region, with Finland being the most represented country in the breakdown.
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
249 compromised employee accounts pose an infrastructure risk, while 874 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.