shabdkosh.com Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The domain shabdkosh.com has experienced a significant number of events, with 1,593 total occurrences recorded between July 2025 and June 2026. A substantial portion of these events, 1,252 (78.6%), are classified as historical data breaches, primarily originating from combolist sources. Additionally, 341 events (21.4%) are identified as active infostealer logs, with LummaC2, Rhadamanthys, and Redline being the most prevalent malware families. The exposure affects 1,501 clients and 92 employees, with a notable increase in client-related events and employee involvement observed in March and April 2026. The primary geographic origin for these events is India. Given the high volume of historical data breaches and the presence of active infostealer activity, this exposure presents a critical risk. The prevalence of combolists suggests a high likelihood of credential stuffing attacks targeting client and employee accounts. Prioritization should focus on immediate credential reset campaigns for all affected clients and employees, enhanced monitoring for suspicious login activity, and a review of authentication mechanisms. The targeted services include the main domain, its mobile application, and forum registration pages, indicating a broad attack surface.
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
92 compromised employee accounts pose an infrastructure risk, while 1,501 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.