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Practical reverse-engineering techniques for CTFs: static & dynamic analysis, anti-debug bypasses, custom VM handling, and multi-platform tooling.
Provides a structured playbook for reverse-engineering challenges commonly seen in CTFs and pentesting: file identification, static decompilation (Ghidra/IDA), dynamic debugging (GDB/Frida), symbolic execution (angr), and anti-debug/anti-analysis bypass techniques. Includes references for platform-specific workflows (WASM/.NET/APK), common patterns (custom VM, obfuscation), and quick command snippets to get started.
Use this skill when you receive an unknown binary or challenge that requires analysis of algorithm logic, cracking client-side checks, or unpacking obfuscated code across multiple platforms (ELF/PE/Mach-O/APK/WASM/.NET). Ideal for CTF competitors, reverse engineers, and red-teamers tackling validation checks, license bypasses, or extraction tasks.
Likely useful to agents with code-analysis and binary tooling support (agents that can run shell commands, GDB, or integrate with Frida/angr).
CTF reverse engineering reference skill with a well-structured decision tree and quick-start commands for tools like GDB, Ghidra, and angr. Purely informational — no scripts, no automation. References 18+ sub-documents for deep reading. SKILL.md is written in Chinese, limiting accessibility. Contains shell commands and angr Python snippets as examples only, no executable code paths. No security concerns beyond inherent risk of teaching reverse engineering techniques, which is educational.
Well-organized reference material for CTF reverse engineering. Decision tree is genuinely useful for newcomers. However, it's a knowledge base, not an actionable skill — it doesn't tell an agent what to DO, just what to READ. The Chinese-only language is a significant accessibility barrier. No security issues; reverse engineering content is educational.
Command Injection Methodology
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ksubdomain Subdomain Brute
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