zimmerbiomet.com Domain Breach Exposure Report
Risk Score
Critical asset booster applied - enterprise VPN / gateway credentials exposed.
AI Findings Summary
The telemetry indicates a significant exposure event impacting zimmerbiomet.com, with 16,080 historical data breaches and 313 active infostealer logs observed over the reporting period. The majority of the exposure stems from database dumps, accounting for 90.5% of leak repository classifications, alongside 9.5% from combolist sources. Employee accounts appear to be the primary target, with 15,771 employee-related events, followed by 622 client-related events. Malware families such as Acreed (33.9%), LummaC2 (23.6%), and Millenium (7.3%) are prevalent. The timeline shows a sharp increase in employee-related events in January 2026, suggesting a potential large-scale compromise or data leak during that period. Geographically, Italy, Spain, and India show the highest number of associated events.
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
15,771 compromised employee accounts pose an infrastructure risk, while 622 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.