alibaba-inc.com Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The domain alibaba-inc.com has experienced a significant number of data breaches and active infostealer logs over the past year, totaling over 34,000 events. The majority of these events (80.8%) are historical data breaches, with the remainder being active infostealer logs (19.2%). The timeline shows a surge in employee and client-related events in September 2025 and March-June 2026, coinciding with high volumes of data breaches and infostealer activity. Malware families like LummaC2, Rhadamanthys, and Redline are prevalent, indicating potential credential harvesting and data exfiltration. Targeted services include various login portals, suggesting a focus on authentication mechanisms. The primary leak repository sources are combolists and database dumps, indicating compromised credentials are being widely distributed.
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
7,472 compromised employee accounts pose an infrastructure risk, while 26,999 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.