fotostrana.ru Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The domain fotostrana.ru has experienced a significant exposure event with a risk score of 93, primarily driven by 10,099 historical data breaches and 1,146 active infostealer logs. The timeline indicates a surge in client-related events from September 2025 through April 2026, with employee-related events also appearing during September 2025 and February 2026. Malware families such as Redline, LummaC2, and Vidar are prominently associated with this exposure, suggesting a high likelihood of credential harvesting and data exfiltration. The majority of the observed data originates from combolist sources, indicating compromised credentials being traded or sold. Given the high volume of data breaches and infostealer activity targeting clients and employees, this exposure poses a critical risk. The prevalence of infostealer malware points to potential unauthorized access to sensitive information, including credentials and personal data. Prioritization should focus on immediate incident response to contain any active threats, followed by a comprehensive review of access controls, credential management, and user security awareness training. Remediation efforts should address the identified malware families and secure the targeted services, particularly login and signup endpoints.
Total Events
Employee Affected Events
Client Affected Events
Free Community Account
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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
685 compromised employee accounts pose an infrastructure risk, while 10,560 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.