urbanoutfitters.com Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The telemetry indicates a significant exposure event impacting urbanoutfitters.com, with over 57,000 total events recorded between July 2025 and June 2026. The majority of these events, over 52,000, are classified as historical data breaches, with an additional 5,000 events related to active infostealer logs. A notable surge in employee-related events occurred in January 2026, coinciding with a substantial increase in client-related events throughout the period, particularly in March 2026. The most prevalent malware families observed are Redline, Rhadamanthys, and Acreed, all known for credential theft. The data suggests a high likelihood of compromised credentials and sensitive information being exfiltrated, with "Combolist sources" and "Database dumps" being the primary leak repository classifications.
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
4,708 compromised employee accounts pose an infrastructure risk, while 52,946 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.