royalbank.com Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The telemetry indicates a significant exposure affecting approximately 169,773 clients and 441 employees of royalbank.com between July 2025 and June 2026. This exposure is primarily characterized by historical data breaches (79.7%) and active infostealer logs (20.3%). The data breaches appear to originate from "Combolist sources" (99.8%), suggesting compromised credentials. Infostealer activity is linked to malware families such as LummaC2 (17.6%), Rhadamanthys (14.2%), Redline (12.4%), and Acreed (12%), which are known to exfiltrate sensitive information. Targeted services include login portals and access points, with a notable concentration of activity originating from Canada. The high risk score of 100 underscores the critical nature of this exposure. The prevalence of infostealer logs and data breaches points to a high likelihood of credential compromise and potential financial fraud or identity theft impacting both clients and employees. Remediation efforts should focus on immediate credential rotation for all affected users, enhanced multi-factor authentication deployment, and thorough security audits of the identified targeted services. Further investigation into the root cause of the data breaches and infostealer infections is crucial to prevent recurrence.
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
441 compromised employee accounts pose an infrastructure risk, while 169,773 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.