hollywoodreporter.com Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The hollywoodreporter.com domain experienced a significant number of data breach events (771) and active infostealer logs (83) between July 2025 and June 2026, with a high risk score of 85. The majority of these events are attributed to historical data breaches, but the presence of infostealer logs indicates ongoing compromise risks. A notable spike in employee and client-related events occurred in January 2026, suggesting a period of heightened exposure. Malware families such as Redline, LummaC2, and Acreed were observed, often associated with credential theft. The data suggests that compromised credentials are being sourced from combolist sources and database dumps, impacting primarily Windows 11 operating systems and originating from the United States.
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
360 compromised employee accounts pose an infrastructure risk, while 494 leaked client credentials create regulatory liability.
Antivirus Distribution
Security Tools on Infected Endpoints
No Data Available
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.