58pic.com Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The domain 58pic.com is associated with a significant number of historical data breaches, totaling 1260 events, and 171 active infostealer logs. The majority of these events, 88.1%, are attributed to historical data breaches, while 11.9% are linked to active infostealer logs. The timeline indicates a surge in client-related events from January 2026 onwards, with employee-related events appearing in March 2026 and peaking in April 2026. Malware families such as Redline, LummaC2, and StealC are prevalent in the infostealer logs. The targeted services are primarily related to the 58pic.com domain and its login pages, with a notable breakdown in China and the United States. The data suggests a high risk of credential compromise and potential data exfiltration impacting clients and employees.
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
123 compromised employee accounts pose an infrastructure risk, while 1,308 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.