mukul975/analyzing-azure-activity-logs-for-threats
skills/analyzing-azure-activity-logs-for-threats/SKILL.md
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.
$ install --global
skillsauthnpx skillsauth add mukul975/cyber-skills analyzing-azure-activity-logs-for-threatsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Jun 2, 2026, 3:46 AM274.7s3 files scanned
SKILL.md
- name:
- analyzing-azure-activity-logs-for-threats
- description:
- Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query
- domain:
- cybersecurity
- subdomain:
- security-operations
- version:
- 1.0
- author:
- mahipal
- license:
- Apache-2.0
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:
- Role assignment changes (privilege escalation)
- Resource group and subscription modifications
- Key vault secret access from new IPs
- Network security group rule changes
- 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"
'''
Related Skills
mukul975/detecting-aws-iam-privilege-escalation
testing
VerifiedTrustedCommunity
Detect AWS IAM privilege escalation paths using boto3 and Cloudsplaining policy analysis to identify overly permissive policies, dangerous permission combinations, and least-privilege violations
21,871SKILL.mdUpdated Jun 27, 2026
mukul975/detecting-aws-guardduty-findings-automation
tools
VerifiedTrustedCommunity
Automate AWS GuardDuty threat detection findings processing using EventBridge and Lambda to enable real-time incident response, automatic quarantine of compromised resources, and security notification workflows.
21,871SKILL.mdUpdated Jun 27, 2026
mukul975/detecting-aws-credential-exposure-with-trufflehog
development
VerifiedTrustedCommunity
Detecting exposed AWS credentials in source code repositories, CI/CD pipelines, and configuration files using TruffleHog, git-secrets, and AWS-native detection mechanisms to prevent credential theft and unauthorized account access.
21,871SKILL.mdUpdated Jun 27, 2026
mukul975/detecting-aws-cloudtrail-anomalies
development
VerifiedTrustedCommunity
Detect unusual API call patterns in AWS CloudTrail logs using boto3, statistical baselining, and behavioral analysis to identify credential compromise, privilege escalation, and unauthorized resource access.
21,871SKILL.mdUpdated Jun 27, 2026