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wshobson/forense-de-memoria

Domina las técnicas de forense de memoria, incluyendo adquisición de memoria, análisis de procesos y extracción de artefactos usando Volatility y herramientas relacionadas. Útil para analizar volcados de memoria, investigar incidentes o realizar análisis de malware a partir de capturas de RAM.

¿Qué es forense-de-memoria?

Esta habilidad permite a un agente de IA especializarse en forense de memoria, un campo crítico en la ciberseguridad para analizar el estado de la memoria RAM de un sistema. Utiliza principalmente la suite Volatility y herramientas complementarias para identificar procesos maliciosos, extraer artefactos como conexiones de red, archivos volátiles y hashes, y reconstruir la actividad del sistema. Es útil en investigaciones de incidentes, análisis de malware y respuesta a intrusiones, donde los volcados de memoria contienen evidencia efímera. La habilidad guía al agente en la adquisición segura de memoria, la identificación de perfiles de sistema operativo y la ejecución de plugins de Volatility para obtener resultados forenses accionables. Soporta sistemas Windows, Linux y macOS, y automatiza tareas como el listado de procesos, la extracción de cmdlines y el escaneo de conexiones de red. Además, ofrece recomendaciones sobre mejores prácticas para preservar la evidencia y evitar la modificación de la memoria durante el análisis.

Compatible con~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/wshobson/agents/tree/main/skills/memory-forensics

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Documentación

¿Qué hace forense-de-memoria?

Domina las técnicas de forense de memoria, incluyendo adquisición de memoria, análisis de procesos y extracción de artefactos usando Volatility y herramientas relacionadas. Útil para analizar volcados de memoria, investigar incidentes o realizar análisis de malware a partir de capturas de RAM.

Descripción General

El forense de memoria es el proceso de analizar la memoria volátil (RAM) de una computadora para descubrir evidencia de actividad maliciosa. Esta habilidad te permite realizar tareas como:

  • Adquisición de imágenes de memoria de sistemas vivos o archivos de volcado.
  • Análisis de procesos, conexiones de red, objetos del kernel y más.
  • Extracción de artefactos (contraseñas, archivos, registros de comandos).
  • Soporte para múltiples sistemas operativos (Windows, Linux, macOS).

Herramientas Clave

  • Volatility 3: Framework principal para análisis de memoria. Plugins como windows.pslist, windows.netscan, windows.cmdline, linux.bash.
  • Volatility 2: Versión anterior pero aún útil para ciertos perfiles de sistema.
  • LiME o FTK Imager: Para adquisición de memoria en vivo.
  • MemProcFS: Para montar una imagen de memoria como un sistema de archivos.

Flujo de Trabajo Recomendado

  1. Adquisición: Capturar la RAM de forma segura sin modificar el sistema (ej. lime, winpmem).
  2. Identificación de perfil: Detectar el sistema operativo y la versión del kernel (Volatility 3 lo hace automáticamente).
  3. Análisis inicial: Listar procesos (pslist), conexiones de red (netscan), y comandos ejecutados (cmdline).
  4. Extracción de artefactos: Usar windows.dumpfiles para extraer archivos, windows.hashdump para hashes de contraseñas.
  5. Análisis avanzado: Buscar rootkits (modscan), malware (malfind), o volcados de procesos sospechosos.

Ejemplos de Uso

Listar procesos en Windows

vol -f memory.dump windows.pslist

Buscar conexiones de red

vol -f memory.dump windows.netscan

Extraer un archivo específico

vol -f memory.dump windows.dumpfiles --virtaddr 0xdeadbeef

Consejos de Seguridad

  • Siempre escribe la imagen de memoria en un disco de solo lectura o en un medio externo.
  • No ejecutes herramientas directamente en el sistema comprometido; usa una máquina forense dedicada.
  • Documenta la cadena de custodia de las imágenes de memoria.

Recursos Adicionales

Esta habilidad está optimizada para Claude Code, Cursor y Codex. Utiliza los comandos listados para realizar análisis de memoria de manera eficiente.

Individual skills in this repo

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

wshobson/accessibility-compliance

Implement WCAG 2.2 compliant interfaces with mobile accessibility, inclusive design patterns, and assistive technology support. Use when auditing accessibility, implementing ARIA patterns, building for screen readers, or ensuring inclusive user experiences.

wshobson/airflow-dag-patterns

Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.

wshobson/angular-migration

Migrate from AngularJS to Angular using hybrid mode, incremental component rewriting, and dependency injection updates. Use when upgrading AngularJS applications, planning framework migrations, or modernizing legacy Angular code.

wshobson/anti-reversing-techniques

Understand anti-reversing, obfuscation, and protection techniques encountered during software analysis. Use this skill when analyzing malware evasion techniques, when implementing anti-debugging protections for CTF challenges, when reverse engineering packed binaries, or when building security research tools that need to detect virtualized environments.

wshobson/api-design-principles

Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.

wshobson/architecture-decision-records

Write and maintain Architecture Decision Records (ADRs) following best practices for technical decision documentation. Use when documenting significant technical decisions, reviewing past architectural choices, or establishing decision processes.

wshobson/architecture-patterns

Implement proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design. Use this skill when designing clean architecture for a new microservice, when refactoring a monolith to use bounded contexts, when implementing hexagonal or onion architecture patterns, or when debugging dependency cycles between application layers.

wshobson/async-python-patterns

Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.

wshobson/attack-tree-construction

Build comprehensive attack trees to visualize threat paths. Use when mapping attack scenarios, identifying defense gaps, or communicating security risks to stakeholders.

wshobson/auth-implementation-patterns

Master authentication and authorization patterns including JWT, OAuth2, session management, and RBAC to build secure, scalable access control systems. Use when implementing auth systems, securing APIs, or debugging security issues.

wshobson/avoid-ai-writing

Audit and rewrite prose so it stops reading as machine-generated. Use this skill when asked to remove AI-isms, clean up AI writing, edit a draft for AI tells, audit a README, changelog, release note, PR description, or blog post for machine-sounding prose, or make text sound less like AI. Supports a detect-only mode, a rewrite mode, and an edit-in-place mode, with optional voice and context profiles.

wshobson/backtesting-frameworks

Build robust backtesting systems for trading strategies with proper handling of look-ahead bias, survivorship bias, and transaction costs. Use when developing trading algorithms, validating strategies, or building backtesting infrastructure.

wshobson/bash-defensive-patterns

Master defensive Bash programming techniques for production-grade scripts. Use when writing robust shell scripts, CI/CD pipelines, or system utilities requiring fault tolerance and safety.

wshobson/bats-testing-patterns

Master Bash Automated Testing System (Bats) for comprehensive shell script testing. Use when writing tests for shell scripts, CI/CD pipelines, or requiring test-driven development of shell utilities.

wshobson/bazel-build-optimization

Optimize Bazel builds for large-scale monorepos. Use when configuring Bazel, implementing remote execution, or optimizing build performance for enterprise codebases.

wshobson/before-you-build

Pre-build product and feature risk review for founders, product managers, and AI-assisted builders. Use this skill when the user is about to build a landing page, MVP, SaaS product, internal tool, agent workflow, or major feature and needs to check demand, positioning, monetization, retention, trust, distribution, and adoption risk before implementation starts.

wshobson/billing-automation

Build automated billing systems for recurring payments, invoicing, subscription lifecycle, and dunning management. Use when implementing subscription billing, automating invoicing, or managing recurring payment systems.

wshobson/binary-analysis-patterns

Master binary analysis patterns including disassembly, decompilation, control flow analysis, and code pattern recognition. Use when analyzing executables, understanding compiled code, or performing static analysis on binaries.

wshobson/block-no-verify-hook

Configure a PreToolUse hook to prevent AI agents from skipping git pre-commit hooks with --no-verify and other bypass flags. Use when setting up Claude Code projects that enforce commit quality gates.

wshobson/brand-landingpage

Brand-first landing page designer — runs a brand-identity interview (colors, typography, shape language), then generates and iterates on a polished landing page via Stitch with deployment-ready HTML. Use when the user asks to create, design, or build a landing page, homepage, or marketing page and has no established visual direction. Skip when they have a design mockup, need a dashboard or app UI, are working at component level, building a multi-page app, or restyling with known design tokens — use frontend-design instead.

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