M4:
- Add 01-read-the-hex (hex-reading) and 02-find-the-entry (elf-anatomy)
gradeable challenges over the gate binary, completing the five-module
pedagogy
- Swap in-memory progress for a SQLite ProgressStore behind the existing
Protocol; routes untouched, migration-free, thread-safe
M5:
- Self-host Docker: prod (nginx + uvicorn) and dev (nginx + Vite HMR) compose,
justfile, Dockerfiles, and nginx configs; zero-config clone-and-run
- learn/ teaching docs (00-04) and public README
- One-shot install.sh and uninstall.sh
M3 React web app over the existing FastAPI: hex viewer, disassembly pane, section map, strings, challenge runner with reveal-after-solve, and progress. Scaffolded from the open no-auth react-scss template; components kept self-contained for CertGames extraction.
M3.5 static-analysis depth, all still no-execution and KAT-traced to the gate binary: PLT/GOT import resolution (plt.py), RIP-relative cross-references and callers (xref.py), basic-block control-flow graphs (cfg.py), and prologue-scan function discovery for stripped binaries (discover.py). Adds the 06-stripped-gate challenge. The API now resolves call names, exposes rip targets, and serves /cfg, /xrefs, and discovered functions.
M2 API hardening from a read-only audit: challenge-loader error isolation, a request body-size middleware, session length bounds, CORS, and the disasm gate annotation gated behind solved state so it no longer pre-solves the challenge.
96 backend tests green; frontend typecheck, build, and lint clean.
Framework-free analysis engine (hex dump, hand-rolled ELF64 parser,
capstone x86-64 disassembly, string extraction, byte patching, challenge
grading) behind a thin read-only FastAPI layer over curated pre-compiled
challenge binaries.
No-execution security posture: the backend only reads and decodes bytes,
never runs a target; patch challenges are graded by static byte diff.
Reveal-after-solve pedagogy: challenge source is returned only on a
correct submission. Input size-caps enforced at the API boundary.
M0 research (ELF format, x86-64/capstone, pedagogy, no-execution) is
cross-checked against a real compiled binary. 63 tests green, including
an ELF parser cross-check against pyelftools and disassembly that matches
objdump instruction-for-instruction.