lidl.de Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The domain lidl.de has experienced a significant exposure event, with 42,336 total events recorded between July 2025 and June 2026. The majority of these events, 93.5%, are historical data breaches, totaling 39,586 incidents. Additionally, 2,750 active infostealer logs were detected, representing 6.5% of the total events. The timeline indicates a substantial spike in employee-related events in January 2026, with 1,817 incidents, and a peak in client-related events in March 2026, with 10,689 incidents. Malware families such as LummaC2, Redline, and Rhadamanthys are prevalent. The exposure primarily affects users in Germany, with 1,299 incidents. The data originates from combolist sources (95.2%) and database dumps (4.8%). Given the high volume of historical data breaches and active infostealer logs, this exposure poses a critical risk. The large number of client-related events, particularly in March 2026, suggests a broad impact on customer data. The prevalence of infostealer malware indicates a direct threat to credentials and sensitive information. Remediation efforts should focus on comprehensive data breach response, strengthening credential security, and enhancing defenses against infostealer malware targeting the identified services and operating systems.
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
2,091 compromised employee accounts pose an infrastructure risk, while 40,245 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.