constantcontact.com Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The telemetry indicates a significant exposure event impacting constantcontact.com, with 97,442 historical data breaches and 19,017 active infostealer logs observed. The timeline shows a surge in employee and client-related events in January 2026, with 3,215 employee and 8,609 client events, followed by another substantial client event increase in March 2026. The primary malware families associated with these events are LummaC2, Rhadamanthys, and Redline, all known for credential theft. The exposure is heavily concentrated in the United States, India, and Pakistan, with a notable portion of the data originating from "Combolist sources" and "Database dumps" within leak repositories. This suggests a high risk of account compromise and potential further data exfiltration affecting both employees and clients.
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
4,208 compromised employee accounts pose an infrastructure risk, while 112,251 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.