w3.org Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The domain w3.org has experienced a significant volume of data breaches and infostealer activity over the past year, with over 10,000 historical data breaches and nearly 2,400 active infostealer logs. This exposure primarily affects clients, with a smaller number of employee-related events. The majority of the data breach events are linked to "Combolist sources," suggesting credential stuffing or account takeover attempts, while infostealer activity is dominated by malware families like LummaC2, Redline, and Rhadamanthys, which are known for exfiltrating sensitive information. The targeted services include account request and login endpoints, indicating a focus on compromising user credentials. The geographical distribution shows a notable concentration of events originating from India, Pakistan, and Iraq, alongside the United States.
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
491 compromised employee accounts pose an infrastructure risk, while 11,904 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.