moneycontrol.com Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The telemetry indicates a significant exposure event impacting moneycontrol.com, with a risk score of 100. Over the period from July 2025 to June 2026, there were 119,715 historical data breaches and 22,615 active infostealer logs. The majority of these events are linked to "Combolist sources" within leak repositories, suggesting credential stuffing or account takeover attempts. The primary affected entities are clients, with 139,784 instances, and employees, with 2,546 instances. Key malware families observed include LummaC2, Vidar, and Redline, all known for credential theft. The targeted services are predominantly related to user authentication, such as "accounts.moneycontrol.com/mclogin/". The geographical breakdown shows a high concentration of activity originating from India.
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
2,546 compromised employee accounts pose an infrastructure risk, while 139,784 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.