Project Status & Roadmap

This file tracks the completed progress and upcoming development milestones for the AI-Enhanced CTF Toolchain.

Current Status: Forensics Utilities Implemented 🚀

Project Structuring: Set up a modern Python src/ layout with uv as the package manager and hatchling as the build backend.
Config Management: Implemented basic TOML configuration loading and writing functions in utils.py using config.toml.
Directory Scanners: Implemented functions to list active competitions and categories automatically skipping helper folders like tools.
CLI Entry Points & Subcommands: Configured the Click main group in main.py to register nested subcommands properly.
Forensics Analysis (New): Implemented ctf forensics info and ctf forensics flag-search in forensics.py to inspect magic bytes/signatures, verify file extension matches, and search for flag pattern regular expressions.
Testing Environment: Established a sandbox folder at tests/env and implemented tests in test_utils.py validating the CLI command executions and boundary cases.
Documentation: Created the project ARCHITECTURE.md to define standard layouts, modules, and testing behavior.

Extend config.toml to store arbitrary data in the future
Implement a basic tool to load the latest download files into the active directory

Write a tool to scan specified download directories for newly acquired challenge files and automatically organize them into the active competition's directory structure.
Implement progress tracking to output current exploration paths, notes, and milestones.

Extend forensics tools to parse specific file-format metadata (e.g. EXIF data for JPGs or headers for specific archives).