sarkariresult.com Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The domain sarkariresult.com has experienced a significant number of events, with a total of 420 recorded over the reporting period. A substantial portion of these events, 339, are classified as historical data breaches, indicating past compromises. Additionally, 81 events are identified as active infostealer logs, suggesting ongoing malicious activity targeting credentials or sensitive information. The timeline shows a notable increase in client-related events from late 2025 into mid-2026, with a peak in April 2026, alongside a rise in employee-related events starting in early 2026. Malware families like LummaC2 and Redline are present, and the data suggests a high likelihood of credential stuffing or account takeover attempts due to the prevalence of "Combolist sources" in leak repositories.
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
98 compromised employee accounts pose an infrastructure risk, while 322 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.