Best REA for CTF and learning

A static analysis write-up of Ubuntu's netcat-openbsd binary using REA with Ghidra, with the evidence behind each finding.

Inspects a DownUnderCTF binary, finds its checking functions, turns the masks and sums into equations and confirms the solved flag against the original program.

Practice code for a Korean online book that walks from analysing software with an agent to rebuilding a feature.

Follow-along exercises from a Korean video: build your own small Electron app and C program, then analyse them with REA, Ghidra and Claude Code.

Asks REA which function prints one message in a stripped, optimised bzip2 binary; the answer and 24 callees matched an unstripped build and the source, and the post lists what this does not prove.

A walkthrough video showing what REA (Reverse Engineer Anything) is, how to install it with `npx rea-agents setup`, and five real Claude Code sessions: reverse-engineering Obsidian's Quick Switcher ranking, inspecting a scroll effect on the author's own site, reading a Mac app's permission requests, observing a news homepage's network requests, and rebuilding a small Obsidian-like tool. Links to the official REA repository and the prompts are included.

A hands-on teaching playbook using a minimal Electron target: extract evidence with file and line references, probe the MCP server and recreate the feature.

Explains the familiar percent-key quirk and checks the explanation against the public, open-source Calculator code.

Short write-ups that each follow the same discipline: a target, a method and the evidence REA produced.

Follows the six-digit code calculation of the open-source Aegis authenticator through its released Android APK, and uses a demo clock to show why the code changes every 30 seconds.

A teaching guide for finding where a feature lives in an Electron-style app: from the visible UI through the process boundary to the code that does the work.

A YouTube explainer that walks through the open-source "Reverse Engineer Anything" (REA) tool: how software is compiled versus decompiled, why AI agents are effective at reverse engineering, what REA does, what people have built with it, and the limits and risks of reading machine code.