Communitygithub.com

Azure 활동 로그 위협 분석

Azure Monitor 활동 로그 및 로그인 로그를 azure-monitor-query로 조회하여 위협을 분석합니다.

Azure 활동 로그 위협 분석란 무엇인가요?

이 스킬은 Azure 환경에서 보안 위협을 탐지하기 위해 Azure Monitor 활동 로그와 로그인 로그를 분석하는 방법을 제공합니다. 보안 침해 사고 조사, 탐지 규칙 구축, 위협 헌팅 쿼리 작성, SOC 분석가의 구조화된 분석 절차 수립, 그리고 관련 공격 기법에 대한 보안 모니터링 범위 검증 시 유용합니다. azure-monitor-query 라이브러리를 활용하여 KQL(Kusto Query Language) 쿼리를 Azure Log Analytics 작업 영역에 실행하며, 권한 상승(역할 할당 변경), 리소스 그룹/구독 수정, 새 IP에서의 Key Vault 비밀 액세스, 네트워크 보안 그룹 규칙 변경, 조건부 액세스 정책 수정 등 주요 탐지 쿼리를 포함합니다. 또한 Azure CLI 인증 및 Python 기반의 스크립트 실행을 지원하며, Global Admin 역할 할당 탐지 예제를 제공합니다.

지원 대상~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-azure-activity-logs-for-threats

즐겨 사용하는 AI에게 물어보기

이 에이전트 스킬이 미리 로드된 새 채팅을 엽니다.

문서

Azure 활동 로그 위협 분석은(는) 무엇을 하나요?

사용 시점

  • Azure 활동 로그에서 위협을 분석해야 하는 보안 침해 사고 조사 시
  • 이 도메인에 대한 탐지 규칙 또는 위협 헌팅 쿼리를 구축할 때
  • SOC 분석가가 이 분석 유형에 대한 구조화된 절차가 필요할 때
  • 관련 공격 기법에 대한 보안 모니터링 범위를 검증할 때

사전 요구 사항

  • 보안 운영 개념 및 도구에 대한熟悉성
  • 안전한 실행을 위한 테스트 또는 실습 환경 접근 권한
  • Python 3.8+ 및 필요한 종속성 설치
  • 모든 테스트 활동에 대한 적절한 권한

지침

azure-monitor-query를 사용하여 Azure Log Analytics 작업 영역에 대해 KQL 쿼리를 실행하고, 의심스러운 관리자 작업 및 로그인 이상 징후를 탐지합니다.

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),
)

주요 탐지 쿼리:

  1. 역할 할당 변경 (권한 상승)
  2. 리소스 그룹 및 구독 수정
  3. 새 IP에서의 Key Vault 비밀 액세스
  4. 네트워크 보안 그룹 규칙 변경
  5. 조건부 액세스 정책 수정

예제

# 새 Global Admin 역할 할당 탐지
query = '''
AuditLogs
| where OperationName == "Add member to role"
| where TargetResources[0].modifiedProperties[0].newValue has "Global Administrator"
'''

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

abusing-dpapi-for-credential-access

Extract and decrypt Windows DPAPI-protected secrets (Credential Manager, browser logins/cookies, Wi-Fi credentials, KeePass keys) online or offline using SharpDPAPI, SharpChrome, Mimikatz, or Impacket

abusing-shadow-credentials-for-privesc

Take over Active Directory accounts by writing attacker-controlled public keys to msDS-KeyCredentialLink (Shadow Credentials) with pyWhisker, Whisker, or Certipy, then authenticate via PKINIT to recover the target

achieving-cmmc-level-2-compliance

>-

acquiring-disk-image-with-dd-and-dcfldd

Create forensically sound bit-for-bit disk images with dd or dcfldd on a Linux forensic workstation, preserving evidence integrity through hash verification (MD5/SHA) during acquisition. Use when imaging a suspect drive, USB device, or memory card for investigation, preserving volatile disk evidence during incident response, or producing a verified copy for legal or law-enforcement proceedings before any destructive analysis.

analyzing-active-directory-acl-abuse

Detect dangerous ACL misconfigurations in Active Directory using ldap3

analyzing-android-malware-with-apktool

Perform static analysis of Android APK malware using apktool for resource decompilation, jadx for Java source recovery, and androguard for manifest inspection, dangerous permission-combination detection, and identification of obfuscated code, dynamic code loading, and reflection-based API calls. Use to statically triage a suspicious APK without executing it or to build mobile malware detection rules.

analyzing-api-gateway-access-logs

Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect

analyzing-apt-group-with-mitre-navigator

Query ATT&CK data with attackcti, mitreattack-python, and stix2, then build MITRE ATT&CK Navigator layers and multi-layer heatmap overlays mapping one or more APT groups

analyzing-bootkit-and-rootkit-samples

Analyzes bootkit and advanced rootkit malware infecting the Master

analyzing-browser-forensics-with-hindsight

Parse Chromium-based browser databases with Hindsight to extract and correlate browsing history, downloads, cookies, cached content, autofill data, saved passwords, and extensions from Chrome, Edge, Brave, Opera, and Vivaldi into a unified timeline (XLSX, JSON, or SQLite output). Use during incident response, insider-threat investigations, or criminal cases when you need to reconstruct a user

analyzing-campaign-attribution-evidence

Systematically evaluate cyber-campaign evidence to attribute an operation to a threat actor, using the Diamond Model and Analysis of Competing Hypotheses (ACH) to weigh infrastructure overlaps, TTP consistency, malware code similarity, and timing/language artifacts into confidence-weighted attribution assessments. Use when an incident investigation needs a defensible attribution confidence level.

analyzing-certificate-transparency-for-phishing

Monitor Certificate Transparency logs using crt.sh and Certstream to

analyzing-cloud-storage-access-patterns

Detect abnormal access in AWS S3, GCS, and Azure Blob Storage by analyzing CloudTrail Data Events, GCS audit logs, and Azure Storage Analytics for after-hours bulk downloads, new-IP access, and API-call spikes (e.g. GetObject) via statistical baselines and time-series anomaly detection. Use when investigating suspected cloud data exfiltration or building related detection rules.

analyzing-cobalt-strike-beacon-configuration

Extract and analyze Cobalt Strike beacon configuration from PE files

analyzing-cobaltstrike-malleable-c2-profiles

Parse and analyze Cobalt Strike Malleable C2 profiles with dissect.cobaltstrike (profiles and beacon-payload configs) and pyMalleableC2 (AST parsing) to extract HTTP/DNS transforms, URIs, headers, sleep/jitter, and injection behavior, then generate network detection signatures. Use when reverse-engineering a captured malleable profile or building detections against Cobalt Strike Beacon traffic.

analyzing-command-and-control-communication

Analyzes malware C2 communication over HTTP, HTTPS, DNS, and custom

analyzing-cyber-kill-chain

Analyzes intrusion activity against the Lockheed Martin Cyber Kill Chain

analyzing-disk-image-with-autopsy

Perform comprehensive forensic analysis of raw (dd), E01, or AFF disk images with Autopsy and The Sleuth Kit, recovering deleted files, examining metadata and embedded artifacts, keyword searching, and building investigation timelines with visual reports. Use for structured analysis of a forensic disk image or when stakeholders need visual reports from evidence.

analyzing-dns-logs-for-exfiltration

Analyzes DNS query logs to detect data exfiltration via DNS tunneling,

analyzing-docker-container-forensics

Investigate compromised Docker containers by analyzing images, layers,

관련 스킬