CommunityInvestigación y análisis de datosgithub.com

ljagiello/ctf-malware

Proporciona técnicas de análisis de malware y tráfico de red para desafíos CTF. Útil para analizar scripts ofuscados, paquetes maliciosos, protocolos criptográficos personalizados, tráfico C2, binarios PE/.NET, comunicaciones cifradas con RC4/AES, reglas YARA, análisis de shellcode, análisis forense de memoria para malware (detección de inyección de procesos con Volatility malfind), técnicas antianálisis (detección de VM/sandbox, evasión temporal, hashing de API, inyección de procesos, comprobaciones de entorno) o extracción de configuraciones de malware e indicadores de compromiso.

¿Qué es ctf-malware?

Este skill está diseñado para asistentes de IA en plataformas como Claude Code, Cursor y Codex, con el objetivo de ayudar a los usuarios a analizar malware y tráfico de red en el contexto de desafíos CTF (Capture The Flag). Proporciona una guía estructurada para comprender scripts ofuscados, paquetes maliciosos, protocolos criptográficos personalizados, comunicaciones de servidores de comando y control (C2), binarios PE/.NET, comunicaciones cifradas con RC4 y AES, y reglas YARA. También cubre análisis de shellcode, análisis forense de memoria para malware utilizando herramientas como Volatility (malfind, detección de inyección de procesos), y técnicas antianálisis como detección de máquinas virtuales/sandboxes, evasión temporal, hashing de API e inyección de procesos. El skill es útil para extraer configuraciones de malware e indicadores de compromiso (IoC) y está optimizado para su uso en plataformas de desarrollo y depuración de seguridad, ofreciendo una base técnica sólida para que el asistente guíe al usuario a través de cada etapa del análisis.

Compatible con~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/ljagiello/ctf-skills/tree/main/skills/ctf-malware

Installed? Explore more Investigación y análisis de datos skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →

Ver original→Ver todas las habilidades

Preguntar en tu IA favorita

Abre un nuevo chat con esta habilidad de agente ya precargada.

OpenAIChatGPTClaudeClaudeGeminiGeminiGrokGrokPerplexityPerplexityDeepSeekDeepSeek

Documentación

¿Qué hace ctf-malware?

Proporciona técnicas de análisis de malware y tráfico de red para desafíos CTF. Útil para analizar scripts ofuscados, paquetes maliciosos, protocolos criptográficos personalizados, tráfico C2, binarios PE/.NET, comunicaciones cifradas con RC4/AES, reglas YARA, análisis de shellcode, análisis forense de memoria para malware (detección de inyección de procesos con Volatility malfind), técnicas antianálisis (detección de VM/sandbox, evasión temporal, hashing de API, inyección de procesos, comprobaciones de entorno) o extracción de configuraciones de malware e indicadores de compromiso.

Individual skills in this repo

This repo contains 10 individual skills — each has its own dedicated page.

ljagiello/ctf-ai-ml

Provides AI and machine learning techniques for CTF challenges. Use when attacking ML models, crafting adversarial examples, performing model extraction, prompt injection, membership inference, training data poisoning, fine-tuning manipulation, neural network analysis, LoRA adapter exploitation, LLM jailbreaking, or solving AI-related puzzles.

ljagiello/ctf-crypto

Provides cryptography attack techniques for CTF challenges. Use when attacking encryption, hashing, signatures, ZKP, PRNG, or mathematical crypto problems involving RSA, AES, ECC, lattices, LWE, CVP, number theory, Coppersmith, Pollard, Wiener, padding oracle, GCM, key derivation, or stream/block cipher weaknesses.

ljagiello/ctf-forensics

Provides digital forensics and signal analysis techniques for CTF challenges. Use when analyzing disk images, memory dumps, event logs, network captures, cryptocurrency transactions, steganography, PDF analysis, Windows registry, Volatility, PCAP, Docker images, coredumps, side-channel power traces, DTMF audio spectrograms, packet timing analysis, CD audio disc images, or recovering deleted files and credentials.

ljagiello/ctf-misc

Provides miscellaneous CTF challenge techniques for problems that do not cleanly fit the main categories. Use for encoding puzzles, pyjails, bash jails, RF/SDR, DNS oddities, unicode tricks, esoteric languages, QR or audio puzzles, constraint solving, game theory, unusual sandbox escapes, and hybrid logic puzzles. Prefer a more specific skill first when the challenge is mainly web, pwn, reverse, forensics, malware, OSINT, or crypto. Treat this as the fallback skill for genuine cross-category or edge-case challenges, not the default starting point.

ljagiello/ctf-osint

Provides open source intelligence techniques for CTF challenges. Use when gathering information from public sources, social media, geolocation, DNS records, username enumeration, reverse image search, Google dorking, Wayback Machine, Tor relays, FEC filings, or identifying unknown data like hashes and coordinates.

ljagiello/ctf-pwn

Provides binary exploitation techniques for CTF challenges. Use when you already have a vulnerable native target or service and need to turn memory corruption or low-level primitives into code execution or privilege escalation, such as buffer overflows, format strings, heap bugs, ROP, ret2libc, shellcode, kernel exploitation, seccomp bypass, sandbox escape, or Windows/Linux exploit chains. Do not use it when the main blocker is understanding what the binary does; use reverse engineering first. Do not use it for pure web bugs, disk or packet forensics, or standalone crypto/math challenges.

ljagiello/ctf-reverse

Provides reverse engineering techniques for CTF challenges. Use when the main job is to understand how a compiled, obfuscated, packed, or virtualized target works before exploiting or solving it, including binaries, APKs, WASM, firmware, custom VMs, bytecode, game clients, malware-like loaders, and anti-debug or anti-analysis logic. Do not use it when the vulnerability is already understood and the remaining task is exploitation; use pwn instead. Do not use it for pure web workflows, log or disk forensics, or standalone crypto problems unless reversing the implementation is the real blocker.

ljagiello/ctf-web

Provides web exploitation techniques for CTF challenges. Use when the target is primarily an HTTP application, API, browser client, template engine, identity flow, or smart-contract frontend/backend surface, including XSS, SQLi, SSTI, SSRF, XXE, JWT, auth bypass, file upload, request smuggling, OAuth/OIDC, SAML, prototype pollution, and similar web bugs. Do not use it for native binary memory corruption, reverse engineering of standalone executables, disk or memory forensics, or pure cryptanalysis unless the web flaw is still the main path to the flag.

ljagiello/ctf-writeup

Generates a single standardized submission-style CTF writeup for competition handoff and organizer review. Use after solving a CTF challenge to document the solution steps, tools used, and lessons learned in a structured format.

ljagiello/solve-challenge

Solves CTF challenges by performing first-pass triage, identifying the dominant category, and routing execution to the right specialized ctf-* skill. Use when the user gives you a challenge bundle, a remote service, a suspicious file, or only a vague challenge description and you must determine where to start. Do not use it when the category is already clear and a specialized skill can be invoked directly; this is the dispatcher and recon entrypoint, not the deepest reference for category-specific techniques.

Skills relacionados

affaan-m/uspto-database

USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.

community

affaan-m/scholar-evaluation

Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.

community

affaan-m/literature-review

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

community

affaan-m/everything-claude-code

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

community

forrestchang/andrej-karpathy-skills

Agent skill repository discovered by 10x-chat research.

community

langgenius/backend-code-review

Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.

community
← More Investigación y análisis de datos skills