glamour.com Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The domain glamour.com experienced 978 events between July 2025 and June 2026, with a significant majority (835 events) attributed to historical data breaches. Infostealer activity accounted for 143 events, primarily involving malware families such as Redline, LummaC2, and RisePro. The exposure primarily impacted clients (682 events) and employees (296 events), with a notable increase in client-related events in March and April 2026. The data suggests a high risk of credential compromise and potential data exfiltration, with 85.4% of events stemming from past data breaches and 14.6% from active infostealer logs. The majority of leaked data originated from combolist sources (91.6%). Given the high volume of historical data breaches and active infostealer logs, the priority should be on mitigating credential stuffing attacks and protecting sensitive user data. Remediation efforts should focus on implementing robust multi-factor authentication, enhancing monitoring for suspicious login activity, and conducting thorough security audits of systems that may have been affected by past breaches. The prevalence of Windows 11 and Windows 10 across affected systems indicates a need for targeted endpoint security measures and user education on phishing and malware threats.
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
296 compromised employee accounts pose an infrastructure risk, while 682 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.