shopclues.com Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The telemetry indicates a significant exposure for shopclues.com, with over 247,000 events logged between July 2025 and June 2026. The majority of these events, approximately 85%, are classified as historical data breaches, impacting over 209,000 clients. Additionally, about 15% of events are active infostealer logs, totaling over 37,000 instances, which also primarily affect clients. The timeline shows a surge in client-related events in September 2025 and March 2026, coinciding with spikes in employee-related events. The most prevalent malware families are LummaC2, Vidar, and Redline, all known for credential theft and data exfiltration. Given the high volume of historical data breaches and active infostealer logs, the priority for remediation should be on securing client credentials and preventing further data exfiltration. The prevalence of infostealer malware targeting credentials suggests a need to review authentication mechanisms, implement multi-factor authentication, and conduct user awareness training. The targeted services include login portals and an Android application, highlighting critical areas for security hardening. The leak repository classification indicates a high proportion of combolist sources, suggesting that compromised credentials may be reused across multiple platforms.
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
1,641 compromised employee accounts pose an infrastructure risk, while 246,084 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.