zappos.com Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The telemetry indicates a significant exposure for zappos.com, with a total of 66,722 events observed over the reporting period. The majority of these events, 83.7%, are classified as historical data breaches, affecting 59,135 clients. Additionally, 10,848 events are identified as active infostealer logs, impacting 7,587 employees. The timeline shows a peak in employee-related events in January 2026 and a surge in client-related events in March 2026. Malware families such as Rhadamanthys, LummaC2, and Redline are prevalent. The targeted services are primarily authentication endpoints, suggesting credential compromise attempts. The data originates predominantly from the United States, with smaller contributions from the Dominican Republic and Venezuela. Leak repositories indicate a heavy reliance on combolist sources.
Total Events
Employee Affected Events
Client Affected Events
Free Community Account
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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
7,587 compromised employee accounts pose an infrastructure risk, while 59,135 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.