/analyzing-azure-activity-logs-for-threats
Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query
$ npx -y skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-azure-activity-logs-for-threats --agent claude-codeHow it fires
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/analyzing-azure-activity-logs-for-threats
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Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query
SKILL.md
analyzing-azure-activity-logs-for-threats.SKILL.mdname: 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"
'''
Read more
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" '''
817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains · Apache 2.0
Repo: mukul975/Anthropic-Cybersecurity-Skills
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