otomoto.pl Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The domain otomoto.pl has experienced a significant number of security events, with a risk score of 97. The majority of these events are attributed to historical data breaches (89.5%) and active infostealer logs (10.5%). A total of 70,929 client accounts and 166 employee accounts are implicated. The timeline shows a notable increase in client and employee account exposure starting in March 2026, peaking in April 2026. Malware families such as Rhadamanthys, Redline, and LummaC2 are prevalent, indicating active credential harvesting and data exfiltration attempts. The primary source of compromised data appears to be combolist sources, suggesting widespread credential stuffing or reuse of compromised credentials. The geographical breakdown indicates a strong concentration of activity originating from Poland.
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
166 compromised employee accounts pose an infrastructure risk, while 70,929 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.