What it does. 'Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query Part of mukul975/Anthropic-Cybersecurity-Skills (817 security skills) (mukul975/Anthropic-Cybersecurity-Skills).

Install

• npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-azure-activity-logs-for-threats, or copy the skill folder into ~/.claude/skills/analyzing-azure-activity-logs-for-threats/.
• Raw file: curl -sL https://raw.githubusercontent.com/mukul975/Anthropic-Cybersecurity-Skills/HEAD/skills/analyzing-azure-activity-logs-for-threats/SKILL.md

SKILL.md (verbatim)

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"
'''

Other files in this skill

• LICENSE
• references/api-reference.md
• scripts/agent.py

references/api-reference.md (verbatim)

API Reference: Analyzing Azure Activity Logs for Threats

azure-monitor-query

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

credential = DefaultAzureCredential()
client = LogsQueryClient(credential)

response = client.query_workspace(
    workspace_id="WORKSPACE_ID",
    query="AzureActivity | take 10",
    timespan=timedelta(hours=24),
)
if response.status == LogsQueryStatus.SUCCESS:
    for table in response.tables:
        columns = [col.name for col in table.columns]
        for row in table.rows:
            print(dict(zip(columns, row)))

Key Azure Log Tables

Threat Detection KQL Patterns

// Privilege escalation
AzureActivity | where OperationNameValue has "ROLEASSIGNMENTS/WRITE"

// Impossible travel
SigninLogs | where ResultType == 0
| extend Distance = geo_distance_2points(...)

// Mass deletion
AzureActivity | where OperationNameValue endswith "/DELETE"
| summarize count() by Caller, bin(TimeGenerated, 1h)

References

• azure-monitor-query: https://pypi.org/project/azure-monitor-query/
• KQL reference: https://learn.microsoft.com/en-us/azure/data-explorer/kusto/query/
• Azure Activity Log schema: https://learn.microsoft.com/en-us/azure/azure-monitor/essentials/activity-log-schema

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