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Response rows stateful anomaly on database

'Goal: To detect anomalous data exfiltration. This query detects SQL queries that accessed a large number of rows, which is significantly higher than normal for this database. The calculation is made inside recent…

Description

Goal: To detect anomalous data exfiltration. This query detects SQL queries that accessed a large number of rows, which is significantly higher than normal for this database. The calculation is made inside recent time window (defined by 'detectionWindow' parameter), and the anomaly is calculated based on previous training window (defined by 'trainingWindow' parameter). The user can set the minimal threshold for anomaly by changing the threshold parameters volThresholdZ and volThresholdQ (higher thresholds will detect only more severe anomalies).

Detection logic

Detection requirements

Platform
IaaSLinuxmacOSSaaSWindows

The rule states no platform. This is derived from the ATT&CK technique it maps to.

Log source product
azuresql
Log source service
azurediagnostics

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