giga.de Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The domain giga.de has experienced a significant number of data breaches and infostealer events, totaling 2190 over the observed period. The majority of these events, 1960, are classified as historical data breaches, with 230 identified as active infostealer logs. This indicates a substantial exposure of sensitive information. The primary malware families associated with infostealer activity include Redline, Rhadamanthys, and LummaC2, suggesting common credential harvesting techniques are being employed. The exposure is geographically diverse, with a notable concentration in Germany, the United States, and Austria, impacting both employees and clients. The timeline shows a fluctuating but persistent rate of client and employee-related events, with peaks in March and April 2026.
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
506 compromised employee accounts pose an infrastructure risk, while 1,684 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.