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Analisando Logs de Transparência de Certificados TLS

Consulta logs de transparência de certificados via crt.sh e pycrtsh para detectar infraestrutura de phishing.

O que é Analisando Logs de Transparência de Certificados TLS?

Esta skill capacita agentes de IA a consultar logs de transparência de certificados TLS, utilizando a API pública do crt.sh e a biblioteca pycrtsh, para identificar certificados suspeitos emitidos para domínios que imitam marcas legítimas. Ela é útil para analistas SOC e engenheiros de segurança que precisam detectar infraestrutura de phishing, criar regras de detecção ou realizar investigações de incidentes. Suporta plataformas como Claude Code, Cursor e Codex, e fornece um fluxo de trabalho estruturado que inclui consultas por padrão de domínio, detecção de typosquatting (distância de Levenshtein), sinalização de CAs inesperados e monitoramento de certificados curinga em subdomínios suspeitos. A skill também demonstra exemplos práticos de código Python para busca e recuperação de detalhes de certificados.

Funciona com~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-tls-certificate-transparency-logs

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Documentação

O que Analisando Logs de Transparência de Certificados TLS faz?

Quando Usar

  • Ao investigar incidentes de segurança que exigem análise de logs de transparência de certificados TLS
  • Ao construir regras de detecção ou consultas de caça a ameaças para este domínio
  • Quando analistas 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

Consulte o banco de dados de Transparência de Certificados do crt.sh para encontrar certificados emitidos para domínios semelhantes à marca da sua organização, detectando infraestrutura de phishing.

from pycrtsh import Crtsh

c = Crtsh()
# Buscar certificados correspondentes a um domínio
certs = c.search("example.com")
for cert in certs:
    print(cert["id"], cert["name_value"])

# Obter detalhes completos do certificado
details = c.get(certs[0]["id"], type="id")

Etapas principais da análise:

  1. Consultar o crt.sh por todos os certificados correspondentes ao padrão do seu domínio
  2. Identificar certificados com variações de typosquatting (distância de Levenshtein)
  3. Sinalizar certificados de CAs inesperadas
  4. Monitorar certificados curinga em subdomínios suspeitos
  5. Cruzar referências com infraestrutura de phishing conhecida

Exemplos

from pycrtsh import Crtsh
c = Crtsh()
certs = c.search("%.example.com")
for cert in certs:
    print(f"Emissor: {cert.get('issuer_name')}, Domínio: {cert.get('name_value')}")

Individual skills in this repo

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

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abusing-shadow-credentials-for-privesc

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achieving-cmmc-level-2-compliance

>-

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

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analyzing-active-directory-acl-abuse

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analyzing-android-malware-with-apktool

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analyzing-api-gateway-access-logs

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analyzing-apt-group-with-mitre-navigator

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analyzing-azure-activity-logs-for-threats

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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

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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

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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

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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,

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