baiducontent.com Domain Breach Exposure Report
Risk Score
Massive event volume or critical assets compromised.
AI Findings Summary
The domain baiducontent.com has been associated with a significant number of data breach events (438) and active infostealer logs (140) over the past year, indicating a high level of exposure. The majority of these events are categorized as historical data breaches originating from combolist sources, suggesting compromised credential reuse. Infostealer activity is also notable, with Redline and LummaC2 being the most prevalent malware families observed. The timeline shows a surge in employee and client-related events starting in late 2025 and peaking in early to mid-2026, with the United States and China being the most frequently observed geographies. The primary operating system affected is Windows 11. Given the high volume of data breaches and active infostealer activity, this exposure presents a critical risk. The prevalence of combolist sources and common infostealer malware like Redline suggests a broad impact on user credentials, potentially leading to account takeovers and further downstream compromises. Prioritization should focus on immediate incident response to contain any active threats, followed by a comprehensive review of authentication mechanisms, credential hygiene practices, and user education to mitigate the risk of future breaches and credential stuffing attacks.
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
101 compromised employee accounts pose an infrastructure risk, while 477 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.