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Análise de PDF Malicioso com peepdf

Realiza análise estática de documentos PDF maliciosos usando peepdf, pdfid e pdf-parser.

O que é Análise de PDF Malicioso com peepdf?

Esta skill automatiza a análise estática de documentos PDF potencialmente maliciosos, fornecendo um fluxo de trabalho completo para triagem, extração e geração de indicadores de compromisso (IOCs). Ela é útil para analistas de segurança e profissionais de resposta a incidentes que lidam com anexos de phishing ou PDFs contendo exploits, pois combina ferramentas como peepdf, pdfid.py e pdf-parser.py para identificar objetos suspeitos, extrair JavaScript incorporado e shellcode, e decodificar streams compactados. A skill suporta a execução em ambientes isolados como VMs ou sandboxes e permite integração opcional com PyV8 para emulação de JavaScript e Pylibemu para análise de shellcode. O fluxo de trabalho inclui triagem rápida com pdfid, análise interativa com peepdf, extração de conteúdo ofuscado e verificação no VirusTotal, resultando em um relatório padronizado com hashes, URLs e nível de risco.

Funciona com~Claude Code~Codex CLI~Cursor
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Documentação

Analisando PDF Malicioso com peepdf

Quando Usar

  • Ao triar anexos de PDF suspeitos de e-mails de phishing
  • Durante análise de malware de documentos PDF que contêm exploits
  • Ao extrair JavaScript incorporado, shellcode ou executáveis de PDFs
  • Para exame forense de artefatos de documentos armados
  • Ao construir assinaturas de detecção para ameaças baseadas em PDF

Pré-requisitos

  • Python 3.8+ com peepdf-3 instalado (pip install peepdf-3)
  • pdfid.py e pdf-parser.py do conjunto Didier Stevens
  • Ambiente de análise isolado (VM ou sandbox)
  • Opcional: PyV8 para emulação de JavaScript dentro do peepdf
  • Opcional: Pylibemu para análise de shellcode

Fluxo de Trabalho

  1. Triagem com pdfid: Escaneie o PDF por palavras-chave suspeitas (/JS, /JavaScript, /OpenAction, /Launch, /EmbeddedFile).
  2. Análise Interativa: Abra o PDF no modo interativo do peepdf para explorar a estrutura de objetos.
  3. Identifique Objetos Suspeitos: Localize objetos contendo JavaScript, streams ou dados codificados.
  4. Extraia Conteúdo: Despeje streams suspeitos e decodifique filtros (FlateDecode, ASCIIHexDecode).
  5. Desofusque JavaScript: Analise o JS extraído em busca de shellcode, heap sprays ou código de exploit.
  6. Verifique no VirusTotal: Use peepdf vtcheck para cruzar o hash do arquivo com detecções de antivírus (AV).
  7. Gere IOCs: Extraia URLs, domínios, hashes e assinaturas de shellcode.

Conceitos Principais

ConceitoDescrição
/OpenActionAção automática executada quando o PDF é aberto
/JavaScript /JSCódigo JavaScript incorporado em objetos PDF
/LaunchAção que inicia aplicativos externos
/EmbeddedFileArquivo incorporado dentro da estrutura do PDF
FlateDecodeFiltro de compressão zlib usado para ocultar conteúdo
Object StreamsObjetos PDF armazenados em streams compactados

Ferramentas & Sistemas

FerramentaFinalidade
peepdf / peepdf-3Análise interativa de PDF com emulação de JS
pdfid.pyEscaneamento rápido de triagem para palavras-chave suspeitas
pdf-parser.pyAnálise profunda de PDF no nível de objetos
VirusTotalConsulta de hash e referência cruzada de detecção de AV
CyberChefDecodificar e transformar payloads extraídos

Formato de Saída

Relatório de Análise: PDF-MAL-[DATA]-[SEQ]
Arquivo: [filename.pdf]
SHA-256: [hash]
Palavras-chave Suspeitas: [/JS, /OpenAction, etc.]
Objetos com JavaScript: [IDs de Objetos]
URLs Extraídas: [Lista]
Shellcode Detectado: [Sim/Não]
Arquivos Incorporados: [Quantidade e tipos]
Detecções do VirusTotal: [X/Y motores]
Nível de Risco: [Crítico/Alto/Médio/Baixo]

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

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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-azure-activity-logs-for-threats

Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query

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,

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