fast-torrent.ru Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The domain fast-torrent.ru is associated with a significant number of historical data breaches (1911 events) and active infostealer logs (194 events), indicating a high risk of credential compromise and potential data exfiltration. The majority of these events are linked to combolist sources, suggesting the reuse of compromised credentials. The timeline shows a notable increase in employee and client-related events from February 2026 onwards, with a peak in March 2026, coinciding with a rise in infostealer activity. Malware families such as Redline and Rhadamanthys are frequently observed, which are known for stealing credentials and sensitive information from infected systems. The affected operating systems are predominantly Windows, with Windows 11 and Windows 10 being the most common.
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
90 compromised employee accounts pose an infrastructure risk, while 2,015 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.