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Goal: To detect anomalous data change/deletion. This query detects SQL queries that changed/deleted 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 threshold will detect only more severe anomalies).
| Attribute | Value |
|---|---|
| Type | Hunting Query |
| Solution | Azure SQL Database solution for sentinel |
| ID | 9670ac84-e035-47f5-8eb5-9d863a8a7893 |
| Severity | Medium |
| Tactics | Impact |
| Techniques | T1485, T1565, T1491 |
| Required Connectors | AzureSql |
| Source | View on GitHub |
This content item queries data from the following tables:
| Table | Selection Criteria | Transformations | Ingestion API | Lake-Only |
|---|---|---|---|---|
AzureDiagnostics 🔶 |
Category == "SQLSecurityAuditEvents" |
? | ✗ | ? |
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