n-tv.de Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The telemetry indicates a significant exposure of 570 historical data breaches and 72 active infostealer logs affecting the domain n-tv.de between July 2025 and June 2026. The data breaches represent 88.8% of the total events, with infostealer logs accounting for 11.2%. Employee and client accounts were impacted, with notable spikes in employee exposure in January 2026 (85) and March 2026 (86), and client exposure in September 2025 (38) and April 2026 (77). Malware families identified include Redline (16.7%) and LummaC2 (5.6%). The primary sources of leaked data appear to be combolist sources (72.1%) and database dumps (27.9%). The high volume of historical data breaches and active infostealer logs, coupled with the targeting of login and logon services on n-tv.de, suggests a high risk of credential stuffing attacks and further account compromise. The prevalence of Windows operating systems, particularly Windows 11, among affected systems, and the geographical distribution showing a significant presence in the United States, warrant immediate attention. Prioritization should focus on credential hygiene, multi-factor authentication enforcement, and enhanced monitoring for suspicious login activity originating from the identified malware families and geographical regions.
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
323 compromised employee accounts pose an infrastructure risk, while 319 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.