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
MITRE ATT&CK mappings
0 exclusive techniques.This is coverage no other published rule has; it is not this rule's total technique count.
No references are available for this detection.
From the source
- At source
- Open at source
- Upstream identifier
- 9851c360-5fd5-4bae-a117-b66d8476bf5e
- Tagged by the source as
- Collection
Licence
- Published under
- MIT LicenseRead the licence
- Attribution
- Required
- Obtained under
- MITRead the origin licence
Authorship
- Published
- Aug 29, 2026
- Version
- 1