shasha.ps Domain Breach Exposure Report
Risk Score
Moderate exposure in standard leak repositories.
AI Findings Summary
The domain shasha.ps has been associated with 72 security events over the past year, including 37 active infostealer events and 35 historical data breaches. A significant portion of these events, 37, involved infostealer logs, with LummaC2 and Redline being identified malware families. The data breaches and infostealer activity appear to be linked to compromised credentials, with 34 instances originating from "Combolist sources" and one from "Database dumps." The primary targeted service is n.shasha.ps, specifically its login pages, with 41 events related to http://n.shasha.ps/Login.aspx. The exposure affects 70 clients and 2 employees, with the majority of activity concentrated in Qatar. The timeline shows a spike in client-related events in September 2025 and March 2026, coinciding with employee exposure in September 2025 and February 2026.
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
2 compromised employee accounts pose an infrastructure risk, while 70 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.