A security analysis tool that visualizes Sysmon event logs using Elasticsearch and Kibana to investigate suspicious activity.
SysmonSearch is a security analysis tool that aggregates and visualizes Microsoft Sysmon event logs to help investigators detect suspicious activity. It uses Elasticsearch for log storage and Kibana for visualization, statistical analysis, and real-time monitoring. The tool aims to make event log analysis more effective and less time-consuming for security teams.
Security analysts, incident responders, and IT professionals who need to investigate suspicious activity using Sysmon event logs. It's particularly useful for teams monitoring Windows environments for security threats.
Developers choose SysmonSearch because it provides specialized visualizations and monitoring for Sysmon logs, integrates with STIX/IOC threat intelligence, and can be self-hosted for full control. It reduces analysis time by automating correlation and alerting.
Investigate suspicious activity by visualizing Sysmon's event log
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Visualizes Sysmon event logs to illustrate correlations between processes and network activity, making threat hunting more intuitive as described in the README.
Allows uploading STIXv1, STIXv2, and OpenIOC files via Web UI to add search and monitor conditions, enhancing threat intelligence integration directly from the interface.
Monitors incoming logs based on preconfigured rules and triggers alerts, enabling proactive security response for suspicious events as per the system overview.
Collects statistics for each device or Sysmon event ID to identify patterns and anomalies, aiding in forensic analysis through the Kibana plugin.
Requires installation on a Linux environment or Docker with dependencies on Elasticsearch and Kibana, which can be resource-intensive and time-consuming to configure, as noted in the installation options.
Focused solely on Microsoft Sysmon logs, lacking native support for other event log sources, which restricts its use in heterogeneous environments beyond Windows.
Built entirely on Elasticsearch and Kibana, tying users to these platforms and their potential licensing costs, update cycles, and maintenance overhead.
Real-time monitoring relies on preconfigured rules that require manual tuning and expertise to set up effectively, with no mention of automated rule generation in the README.