Response rows stateful anomaly on database - hunting query
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. This is a hunting query, so the training…
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. This is a hunting query, so the training and the detection occur on the whole time window (controlled by 'queryPeriod' 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
- 137tyi7c-7225-434b-8bfc-fea28v95ebd8
- 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