upi.com Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The domain upi.com has experienced a high volume of data breach events (1165) and active infostealer logs (339) over the past year, indicating significant exposure. The majority of these events are linked to historical data breaches, with a substantial portion also involving active infostealer activity. The timeline shows a notable increase in client-related events from August 2025 onwards, peaking in April 2026, alongside fluctuating employee-related incidents. Malware families such as LummaC2 and Redline are prevalent, suggesting active compromise campaigns. The targeted services primarily include Android applications associated with UPI payment services and the upi.com domain itself, with India being the most affected country. The exposure is largely attributed to combolist sources and database dumps.
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
475 compromised employee accounts pose an infrastructure risk, while 1,029 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.