divyabhaskar.co.in Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The domain divyabhaskar.co.in has experienced a significant number of historical data breaches (2576 events) and active infostealer logs (483 events) over the past year, indicating a substantial exposure of client data. The majority of these events are linked to "Combolist sources," suggesting compromised credentials. The timeline shows a notable increase in employee and client-related events starting in March 2026, with malware families like LummaC2, Redline, and Vidar being prevalent. The primary targeted service appears to be the epaper platform, with associated subdomains also frequently targeted. The geographical breakdown indicates a strong focus on India, with other countries like the United States and Canada also affected. Given the high volume of data breaches and infostealer activity, coupled with the targeting of client-facing services and the prevalence of credential-harvesting malware, this situation presents a high risk. Prioritization should focus on immediate remediation of identified vulnerabilities, credential reset for affected employees and clients, and enhanced monitoring for further data exfiltration. The prevalence of LummaC2 and Redline suggests a need to review endpoint security and network traffic for indicators of compromise related to these infostealers.
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
133 compromised employee accounts pose an infrastructure risk, while 2,926 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.