KQL Search

This KQL (Kusto Query Language) query is designed to extract and analyze threat intelligence data related to honeypots from Azure Sentinel's User and Entity Behavior Analytics (UEBA) for a specific Entra Tenant. Here's a simplified breakdown of what the query does:

1. Data Source: It starts by accessing the BehaviorAnalytics table, which contains behavioral data related to security events.

2. Time Filter: The query filters the data to include only events generated in the last 90 days (TimeGenerated > ago(90d)).

3. Event Source: It further narrows down the data to events originating from "Azure AD" (EventSource == "Azure AD").

4. Honeypot Indicator: The query looks for events that have a threat intelligence indicator type related to "HoneypotAccess" (tostring(DevicesInsights.ThreatIntelIndicatorType) has "HoneypotAccess").

5. Summarization: It summarizes the data by finding the most recent event (arg_max(TimeGenerated, *)) for each unique source IP address (by SourceIPAddress).

6. Projection: Finally, it selects and displays specific columns: the time the event was generated (TimeGenerated), the source IP address (SourceIPAddress), and a description of the threat intelligence indicator (tostring(DevicesInsights.ThreatIntelIndicatorDescription)).

The query is part of a strategy to use deception (like honeypots) to gather threat intelligence, which can then be used to enhance detection and defense mechanisms against cyber attackers. The mention of "MITRE ATT&CK" and "Network Service Discovery (T1046)" suggests that the query might be related to identifying or analyzing techniques used by attackers to discover network services, as categorized by the MITRE ATT&CK framework.