fastpic.ru Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The telemetry indicates a significant exposure event involving the domain fastpic.ru, with a high risk score of 76. The primary concern stems from 352 historical data breaches and 127 active infostealer logs, affecting a total of 479 events. The data breaches are predominantly linked to "Combolist sources," suggesting compromised credential lists. Infostealer activity is notable, with "LummaC2" and "Redline" being the most prevalent malware families observed. The timeline shows a surge in employee and client-related events from March 2026 onwards, peaking in April 2026, indicating a recent escalation. The high volume of data breaches and active infostealer logs, coupled with the prevalence of credential-compromising malware, presents a substantial risk of unauthorized access and further data compromise. The affected services are primarily related to the fastpic.ru domain, including login and registration pages. The geographical distribution shows a concentration of affected entities in the United States, Algeria, and Germany. Prioritization should focus on immediate remediation of exposed credentials, enhanced monitoring for suspicious activity on fastpic.ru, and strengthening authentication mechanisms to mitigate the risk of credential stuffing and further exploitation.
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
120 compromised employee accounts pose an infrastructure risk, while 359 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.