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Normalizador de Logs do AWS CloudTrail

Normaliza e enriquece logs JSON do AWS CloudTrail para o formato OCSF (Open Cybersecurity Schema Framework). Mapeia pares eventSource/eventName para IDs de técnicas MITRE ATT&CK usando a API STIX do MITRE ATT&CK.

O que é Normalizador de Logs do AWS CloudTrail?

Este skill é uma ferramenta especializada para profissionais de segurança e desenvolvedores que trabalham com logs do AWS CloudTrail. Ele automaticamente normaliza e enriquece os logs JSON brutos do CloudTrail, convertendo-os para o formato padronizado OCSF (Open Cybersecurity Schema Framework). Além disso, utiliza a API STIX do MITRE ATT&CK para mapear cada par eventSource/eventName presente nos logs para os IDs de técnicas correspondentes, permitindo correlação direta com cenários de ataque conhecidos. O skill é compatível com ambientes Node.js e pode ser integrado a pipelines de segurança, ferramentas SIEM ou fluxos de investigação forense. Seu funcionamento é baseado em regras de normalização e consultas à API MITRE, garantindo que os logs enriquecidos contenham contexto tático valioso.

Funciona com~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/aws-cloudtrail-log-normalizer
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Documentação

O que Normalizador de Logs do AWS CloudTrail faz?

Normaliza e enriquece logs JSON do AWS CloudTrail para o formato OCSF (Open Cybersecurity Schema Framework). Mapeia pares eventSource/eventName para IDs de técnicas MITRE ATT&CK usando a API STIX do MITRE ATT&CK.

Instalação

Use o caminho de instalação ou configuração upstream que corresponda ao seu ambiente:

  • Vamos configurar um projeto que dependa do DynamoDB a partir do SDK e faça uma chamada de serviço simples. As etapas a seguir usam yarn como exemplo. Estas etapas pressupõem que você já tenha Node.js e yarn instalados.
  • git clone https://github.com/aws/aws-sdk-js-v3.git
  • yarn && yarn test:all
  • yarn pack .

Requisitos e observações do upstream:

Notas de uso básico ou primeiros passos:

Origem

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Add graph-backed memory and context retrieval to agent workflows

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