kohls.com Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The telemetry indicates a significant exposure impacting both employees and clients of kohls.com, with a substantial number of historical data breaches and active infostealer logs. The data suggests a broad compromise, with the majority of events categorized as historical data breaches, affecting nearly 391,000 records, and over 53,000 active infostealer logs. The timeline shows a notable surge in client-related events in September 2025 and March 2026, alongside a significant spike in employee-related events in January 2026. The primary threat vectors appear to be infostealer malware families such as Rhadamanthys, Redline, and LummaC2, often associated with combolist sources and database dumps, targeting login pages and the main domain, with the United States being the most affected geography.
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
80,863 compromised employee accounts pose an infrastructure risk, while 363,650 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.