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ljagiello/ctf-forensics

Fournit des techniques d'analyse forensique et de traitement du signal pour les défis CTF. À utiliser lors de l'analyse d'images disque, de dumps mémoire, de journaux d'événements, de captures réseau, de transactions de cryptomonnaies, de stéganographie, d'analyse PDF, du registre Windows, de Volatility, de PCAP, d'images Docker, de coredumps, de traces de consommation d'énergie par canal auxiliaire, de spectrogrammes audio DTMF, d'analyse temporelle de paquets, d'images de CD audio, ou pour la récupération de fichiers supprimés et d'identifiants.

Qu'est-ce que ctf-forensics ?

Ce skill fournit un ensemble complet de techniques d'analyse forensique et de traitement du signal, spécialement conçues pour résoudre les défis CTF (Capture The Flag). Il prend en charge une large gamme de sources de données, notamment les images disque, les dumps mémoire (via Volatility), les journaux d'événements Windows, les captures réseau (PCAP), les images Docker, les coredumps, les fichiers PDF, le registre Windows, les transactions de cryptomonnaies et divers types de stéganographie. Il permet également l'analyse de signaux avancés tels que les traces de consommation d'énergie par canal auxiliaire (side-channel), les spectrogrammes audio DTMF, l'analyse temporelle de paquets réseau et les images de CD audio. Le skill est conçu pour accompagner l'utilisateur pas à pas dans la récupération de fichiers supprimés, d'identifiants et de données cachées, en fournissant des commandes CLI précises, des scripts et des références à des outils spécialisés comme `volatility3`, `binwalk`, `foremost`, `wireshark`, `audacity` ou `GNU Radio`. Il fonctionne sur des plateformes d'agents comme Claude Code, Cursor et Codex, où le modèle peut exécuter des commandes ou générer des analyses à partir de requêtes utilisateur.

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

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Documentation

Que fait ctf-forensics ?

Fournit des techniques d'analyse forensique et de traitement du signal pour les défis CTF. À utiliser lors de l'analyse d'images disque, de dumps mémoire, de journaux d'événements, de captures réseau, de transactions de cryptomonnaies, de stéganographie, d'analyse PDF, du registre Windows, de Volatility, de PCAP, d'images Docker, de coredumps, de traces de consommation d'énergie par canal auxiliaire, de spectrogrammes audio DTMF, d'analyse temporelle de paquets, d'images de CD audio, ou pour la récupération de fichiers supprimés et d'identifiants.

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-malware

Provides malware analysis and network traffic techniques for CTF challenges. Use when analyzing obfuscated scripts, malicious packages, custom crypto protocols, C2 traffic, PE/.NET binaries, RC4/AES encrypted communications, YARA rules, shellcode analysis, memory forensics for malware (Volatility malfind, process injection detection), anti-analysis techniques (VM/sandbox detection, timing evasion, API hashing, process injection, environment checks), or extracting malware configurations and indicators of compromise.

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.

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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.

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affaan-m/scholar-evaluation

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affaan-m/literature-review

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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.

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