Login spike with increase failure rate

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Query over SigninLogs summarizes login attempts per hour on weekdays. Kusto anomaly detection finds login spikes. Calculates percentage change between anomalous period and average logins. Determines success and failure rate for logins for 1 hour period.

Attribute Value
Type Hunting Query
Solution Standalone Content
ID 528c1708-a67e-4e2f-b76d-d5e5e88a22aa
Tactics InitialAccess
Techniques T1078
Required Connectors AzureActiveDirectory
Source [View on GitHub](https://github.com/Azure/Azure-Sentinel/blob/master/Hunting Queries/SigninLogs/LoginSpikeWithIncreaseFailureRate.yaml)

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