bigfishgames.com Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The telemetry indicates a significant exposure event for bigfishgames.com, with a risk score of 100. The primary concern stems from 81,496 historical data breaches and 12,229 active infostealer logs, affecting a total of 91,845 clients and 1,880 employees. The data suggests a widespread compromise, with a notable surge in employee-related events in January 2026 and sustained high client impact throughout the observed period. Malware families such as LummaC2, Redline, and Acreed are prevalent, indicating active credential harvesting and data exfiltration activities targeting services like the Susi login portal and the main website. The high volume of data breaches and infostealer activity, coupled with the presence of multiple malware families, elevates the risk to critical. The majority of leaked data originates from "Combolist sources," suggesting compromised credentials are being widely distributed and potentially reused. Remediation efforts should focus on immediate credential rotation for all affected employees and clients, enhanced monitoring for suspicious login activity, and a thorough review of security controls around client-facing services and internal authentication systems. Given the nature of the compromised data and the services targeted, the most appropriate industry sector is Retail & E-commerce.
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
1,880 compromised employee accounts pose an infrastructure risk, while 91,845 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.