mudah.my Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The domain mudah.my has experienced a significant exposure event, with 98,770 historical data breaches and 12,429 active infostealer logs recorded over the period from July 2025 to June 2026. The majority of these events, 88.8%, are attributed to historical data breaches, while 11.2% are linked to active infostealer activity. The timeline indicates a surge in client-related events in August 2025 and a notable increase in employee-related events in January 2026. Malware analysis reveals Redline and LummaC2 as the most prevalent families, accounting for 23.2% and 18.2% of infections respectively. The primary sources of leaked data are identified as "Combolist sources" (99.8%). Given the high volume of historical data breaches and active infostealer logs, this exposure poses a critical risk to both clients and employees. The prevalence of infostealer malware suggests a direct threat to credential compromise and potential financial or identity theft. Remediation efforts should focus on enhancing data security measures, implementing robust credential management policies, and conducting thorough security awareness training for employees, particularly in light of the January 2026 spike in employee-related events. Continuous monitoring for new infostealer activity and data leaks is also recommended.
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
344 compromised employee accounts pose an infrastructure risk, while 110,855 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.