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생산성 및 협업 · SKILL.md

analyzing-azure-activity-logs-for-threats

analyzing-azure-activity-logs-for-threats

Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query to detect suspicious administrative operations, impossible travel, privilege escalation, and resource modifications. Builds KQL queries for threat hunting in Azure environments. Use when investigating suspicious Azure tenant activity or building cloud SIEM detections.

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill 문서

GitHub

name: analyzing-azure-activity-logs-for-threats description: 'Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query to detect suspicious administrative operations, impossible travel, privilege escalation, and resource modifications. Builds KQL queries for threat hunting in Azure environments. Use when investigating suspicious Azure tenant activity or building cloud SIEM detections.

' domain: cybersecurity subdomain: security-operations tags:

  • azure
  • cloud-security
  • azure-monitor
  • kql
  • threat-hunting
  • activity-logs version: '1.0' author: mahipal license: Apache-2.0 nist_csf:
  • DE.CM-01
  • RS.MA-01
  • GV.OV-01
  • DE.AE-02 mitre_attack:
  • T1078.004
  • T1098.003
  • T1538
  • T1556.009
  • T1580

Analyzing Azure Activity Logs for Threats

When to Use

  • When investigating security incidents that require analyzing azure activity logs for threats
  • When building detection rules or threat hunting queries for this domain
  • When SOC analysts need structured procedures for this analysis type
  • When validating security monitoring coverage for related attack techniques

Prerequisites

  • Familiarity with security operations concepts and tools
  • Access to a test or lab environment for safe execution
  • Python 3.8+ with required dependencies installed
  • Appropriate authorization for any testing activities

Instructions

Use azure-monitor-query to execute KQL queries against Azure Log Analytics workspaces, detecting suspicious admin operations and sign-in anomalies.

from azure.identity import DefaultAzureCredential
from azure.monitor.query import LogsQueryClient
from datetime import timedelta

credential = DefaultAzureCredential()
client = LogsQueryClient(credential)

response = client.query_workspace(
    workspace_id="WORKSPACE_ID",
    query="AzureActivity | where OperationNameValue has 'MICROSOFT.AUTHORIZATION/ROLEASSIGNMENTS/WRITE' | take 10",
    timespan=timedelta(hours=24),
)

Key detection queries:

  1. Role assignment changes (privilege escalation)
  2. Resource group and subscription modifications
  3. Key vault secret access from new IPs
  4. Network security group rule changes
  5. Conditional access policy modifications

Examples

# Detect new Global Admin role assignments
query = '''
AuditLogs
| where OperationName == "Add member to role"
| where TargetResources[0].modifiedProperties[0].newValue has "Global Administrator"
'''
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