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Análisis de TTPs de Actores de Amenazas con MITRE Navigator

Asigna las TTPs de grupos de amenazas persistentes avanzadas (APT) al marco MITRE ATT&CK utilizando la librería Python attackcti para consultar datos STIX/TAXII sobre asociaciones grupo-técnica, y luego genera archivos de capa de ATT&CK Navigator para visualizar y comparar la cobertura defensiva contra perfiles de adversarios. Úselo al perfilar un grupo APT.

¿Qué es Análisis de TTPs de Actores de Amenazas con MITRE Navigator?

Esta habilidad permite a los analistas de seguridad mapear sistemáticamente las Tácticas, Técnicas y Procedimientos (TTPs) de grupos de amenazas persistentes avanzadas (APT) al marco MITRE ATT&CK. Utiliza la librería Python `attackcti` para consultar datos STIX a través del protocolo TAXII y extraer las técnicas asociadas a un grupo de amenazas específico. Luego genera archivos de capa JSON compatibles con ATT&CK Navigator, que permiten visualizar las técnicas en matrices ATT&CK y comparar la postura defensiva actual contra los perfiles de adversarios conocidos. Es compatible con cualquier plataforma que pueda ejecutar Python y utilizar la interfaz web de ATT&CK Navigator, siendo útil para SOCs, equipos de caza de amenazas y analistas de inteligencia de amenazas que necesitan identificar brechas en la cobertura de detección.

Compatible con~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-threat-actor-ttps-with-mitre-navigator

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Documentación

¿Qué hace Análisis de TTPs de Actores de Amenazas con MITRE Navigator?

Descripción General

El MITRE ATT&CK Navigator es una aplicación web para anotar y visualizar matrices ATT&CK. Combinado con la librería Python attackcti (que consulta datos STIX de ATT&CK a través de TAXII), los analistas pueden generar programáticamente archivos de capa de Navigator que mapean las TTPs de grupos de amenazas específicos, comparar varios grupos y evaluar las brechas en la cobertura de detección contra adversarios conocidos.

Cuándo Usarlo

  • Al investigar incidentes de seguridad que requieren analizar las TTPs de actores de amenazas con MITRE Navigator
  • Al construir reglas de detección o consultas de caza de amenazas para este dominio
  • Cuando los analistas del SOC necesitan procedimientos estructurados para este tipo de análisis
  • Al validar la cobertura de monitoreo de seguridad para técnicas de ataque relacionadas

Prerrequisitos

  • Python 3.8+ con las librerías attackcti y stix2 instaladas
  • MITRE ATT&CK Navigator (interfaz web o instancia local)
  • Comprensión de los objetos y relaciones STIX 2.1

Pasos

  1. Consultar datos STIX de ATT&CK para el grupo de amenazas objetivo usando attackcti
  2. Extraer las técnicas asociadas al grupo a través de relaciones STIX
  3. Generar JSON de capa de ATT&CK Navigator con anotaciones de técnicas
  4. Superponer la cobertura de detección para identificar brechas
  5. Exportar la capa para revisión del equipo y planificación defensiva

Salida Esperada

{
  "name": "APT29 TTPs",
  "domain": "enterprise-attack",
  "techniques": [
    {"techniqueID": "T1566.001", "score": 1, "comment": "Spearphishing Attachment"},
    {"techniqueID": "T1059.001", "score": 1, "comment": "PowerShell"}
  ]
}

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-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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