commonhealth.com.tw Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The domain commonhealth.com.tw experienced a significant number of events, with 648 historical data breaches and 111 active infostealer logs, totaling 759 events over the observed period. The data breaches primarily originated from combolist sources, indicating potential credential stuffing or account takeover attempts. Infostealer activity involved malware families such as LummaC2, Redline, and RisePro, which are known for exfiltrating sensitive information. The timeline shows a notable increase in employee and client-related events starting in March 2026, suggesting a potential escalation or discovery of these exposures. This exposure presents a high risk due to the volume of historical data breaches and ongoing infostealer activity, impacting both employees and clients. The prevalence of combolist sources for breaches suggests a broad exposure of credentials. Remediation should focus on immediate credential reset campaigns for affected employees and clients, enhanced monitoring for suspicious login activity, and a review of authentication mechanisms to prevent further credential stuffing. Investigating the specific data compromised in the historical breaches and the targets of the infostealer malware is critical for understanding the full impact.
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
117 compromised employee accounts pose an infrastructure risk, while 642 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.