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analisando-logs-de-atividade-do-azure-para-ameaças

Consulta logs de atividade do Azure Monitor e logs de login via azure-monitor-query

O que é analisando-logs-de-atividade-do-azure-para-ameaças?

Este skill capacita agentes de IA (como Claude Code, Cursor ou Codex) a analisar logs de atividade do Azure em busca de ameaças de segurança. Ele utiliza a biblioteca `azure-monitor-query` para executar consultas KQL em workspaces do Log Analytics, detectando operações administrativas suspeitas e anomalias de login. Suporta plataformas de agentes de IA que executam código Python e dependências externas, como CLI de código e assistentes de codificação. O skill fornece consultas-chave como: alterações de atribuições de função (escalonamento de privilégios), modificações em grupos de recursos e assinaturas, acesso a segredos do Key Vault a partir de novos IPs, alterações em regras de grupos de segurança de rede e modificações em políticas de acesso condicional. É útil para SOCs automatizarem caça a ameaças, validarem cobertura de monitoramento e investigarem incidentes de segurança no Azure.

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

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Documentação

Analisando Logs de Atividade do Azure para Ameaças

Quando Usar

  • Ao investigar incidentes de segurança que exigem análise de logs de atividade do Azure para ameaças
  • Ao construir regras de detecção ou consultas de caça a ameaças para este domínio
  • Quando analistas de SOC precisam de procedimentos estruturados para este tipo de análise
  • Ao validar a cobertura de monitoramento de segurança para técnicas de ataque relacionadas

Pré-requisitos

  • Familiaridade com conceitos e ferramentas de operações de segurança
  • Acesso a um ambiente de teste ou laboratório para execução segura
  • Python 3.8+ com as dependências necessárias instaladas
  • Autorização apropriada para quaisquer atividades de teste

Instruções

Use azure-monitor-query para executar consultas KQL contra workspaces do Azure Log Analytics, detectando operações administrativas suspeitas e anomalias de login.

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),
)

Consultas-chave de detecção:

  1. Alterações de atribuições de função (escalonamento de privilégios)
  2. Modificações em grupos de recursos e assinaturas
  3. Acesso a segredos do Key Vault a partir de novos IPs
  4. Alterações em regras de grupos de segurança de rede
  5. Modificações em políticas de acesso condicional

Exemplos

# Detectar novas atribuições de função de Administrador Global
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.

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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

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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

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analyzing-apt-group-with-mitre-navigator

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analyzing-bootkit-and-rootkit-samples

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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

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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

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