softcoin.com Domain Breach Exposure Report
Risk Score
Moderate exposure in standard leak repositories.
AI Findings Summary
The domain softcoin.com has experienced a significant number of data breaches and infostealer events over the past year, totaling 396 incidents. The majority of these events, 316, are classified as historical data breaches, while 80 are active infostealer logs. The timeline indicates a notable increase in client-related events starting in August 2025, with a peak in March 2026, alongside a consistent, albeit lower, number of employee-related events. Malware analysis reveals a prevalence of Rhadamanthys, LummaC2, and Redline infostealers, suggesting a targeted campaign. The primary affected services are related to costuless.softcoin.com and the main softcoin.com domain, with the majority of affected operating systems being Windows 11 24H2. The high volume of data breaches and active infostealer logs, coupled with the use of common infostealer malware families, indicates a substantial risk of credential compromise and potential financial loss. The concentration of events on client-facing services and the high number of client-related incidents suggest that client data may be at risk. Remediation efforts should focus on securing client credentials, investigating the root cause of the data breaches, and enhancing defenses against the identified infostealer malware families, particularly Rhadamanthys and LummaC2.
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
50 compromised employee accounts pose an infrastructure risk, while 346 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.