apollo.com Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The domain apollo.com has experienced a significant number of security events, with 3,138 total events recorded between July 2025 and June 2026. The majority of these events, 86.7%, are classified as historical data breaches, with an additional 13.3% identified as active infostealer logs. A substantial portion of the infostealer activity is attributed to malware families such as LummaC2 (23.6%), Rhadamanthys (16.6%), and Vidar (13%). The timeline indicates a surge in employee and client-related events, particularly in September 2025 and March 2026, suggesting potential credential compromise or exposure. The leak repository classification shows a high volume of data originating from "Database dumps" (63.3%) and "Combolist sources" (36.7%), indicating a broad exposure of credentials and potentially sensitive information.
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
2,485 compromised employee accounts pose an infrastructure risk, while 653 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.