delfi.lt Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The telemetry indicates a significant exposure event impacting delfi.lt, with a total of 16,250 recorded events over the period from July 2025 to June 2026. The majority of these events, 15,697 (96.6%), are classified as historical data breaches, while 553 (3.4%) are active infostealer logs. The data suggests a broad impact, affecting 12,694 employees and 3,556 clients. Notable malware families observed include Redline, LummaC2, and Vidar, commonly associated with credential harvesting and data exfiltration. The primary affected geography is Lithuania, with a substantial number of events also originating from Spain and the United States. The data indicates a high risk due to the volume of historical data breaches and the presence of active infostealer activity, suggesting ongoing compromise or the exploitation of previously leaked credentials.
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
12,694 compromised employee accounts pose an infrastructure risk, while 3,556 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.