Watering Hole Attack Detection via Web Browsing Pattern Analysis

The system segments the website checking process into two distinct modes: passive mode for frequently visited enterprise websites and proactive mode for less frequently visited websites. This segmentation allows the system to allocate resources differently based on risk levels, checking high-priority sites more thoroughly while using fewer resources on lower-priority sites, thereby maintaining detection coverage while reducing overall resource consumption.

The system applies different detection qualities to different websites based on their importance to the enterprise. High-priority websites receive intensive passive monitoring with continuous checks, while lower-priority websites receive less intensive proactive monitoring. This local quality approach ensures that resources are concentrated where they are most needed, improving detection effectiveness for critical sites without proportionally increasing resources for all sites.

The system implements periodic action by alternating between passive mode (continuous monitoring of high-priority sites) and proactive mode (periodic scanning of other sites). Instead of continuously analyzing all websites equally, the system uses periodic proactive scans for lower-priority sites while maintaining continuous passive monitoring for high-priority sites, thereby achieving detection precision for critical sites without the processing time overhead of continuous universal monitoring.

The system applies partial action by focusing intensive monitoring resources on a subset of high-priority websites that are most relevant to enterprise operations. Rather than applying equal monitoring intensity to all websites, the system concentrates detection efforts where they provide the most value, achieving sufficient detection precision for critical sites while reducing processing time by not over-monitoring less important sites.