CTF 챌린지에서 악성코드 분석 및 네트워크 트래픽 기술을 제공합니다. 난독화된 스크립트, 악성 패키지, 맞춤형 암호 프로토콜, C2 트래픽, PE/.NET 바이너리, RC4/AES 암호화 통신, YARA 규칙, 셸코드 분석, 메모리 포렌식, 안티 분석 기술을 분석할 때 사용하세요.
이 스킬은 CTF 챌린지 환경에서 악성코드 분석 및 네트워크 트래픽 분석을 수행하기 위한 포괄적인 기술 모음을 제공합니다. 난독화된 스크립트, 악성 패키지, 맞춤형 암호화 프로토콜, C2 트래픽, PE/.NET 바이너리, RC4/AES 암호화 통신, YARA 규칙, 셸코드 분석, Volatility malfind 및 프로세스 인젝션 탐지를 통한 메모리 포렌식, VM/샌드박스 탐지, 타이밍 회피, API 해싱, 프로세스 인젝션, 환경 검사와 같은 안티 분석 기술을 분석하는 데 유용합니다. 또한 악성코드 구성 및 침해 지표(IoC)를 추출하는 방법을 안내합니다. 최신 AI 에이전트 플랫폼(Claude Code, Cursor, Codex 등)에서 활용할 수 있도록 설계되었으며, SKILL.md 기반의 상세한 지침과 예제를 제공하여 사용자가 복잡한 악성코드 분석 작업을 체계적으로 수행할 수 있도록 지원합니다.
npx skills add https://github.com/ljagiello/ctf-skills/tree/main/skills/ctf-malwareInstalled? Explore more 연구 & 데이터 분석 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
CTF 챌린지에서 악성코드 분석 및 네트워크 트래픽 기술을 제공합니다. 난독화된 스크립트, 악성 패키지, 맞춤형 암호 프로토콜, C2 트래픽, PE/.NET 바이너리, RC4/AES 암호화 통신, YARA 규칙, 셸코드 분석, 메모리 포렌식(Volatility malfind, 프로세스 인젝션 탐지), 안티 분석 기술(VM/샌드박스 탐지, 타이밍 회피, API 해싱, 프로세스 인젝션, 환경 검사) 또는 악성코드 구성 및 침해 지표 추출 시 사용하세요.
This repo contains 10 individual skills — each has its own dedicated page.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
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.