Changelog

All notable changes to this project will be documented in this file.
This project follows Semantic Versioning.

[Unreleased]

UI Modernization
Migrated the entire front-end to Tailwind CSS (compiled) with Flowbite JS components for better responsiveness, consistency, and developer productivity.
Introduced a new navbar and layout system, improving navigation and making future expansion easier.
Added Docker-based CSS build to keep builds reproducible and lightweight.
Reusable CSS Components
Added custom utility classes (badge, badge-ok, badge-warn, badge-danger, chip, card, etc.) to replace long Tailwind strings.
This reduces repetition and ensures a consistent look across the app.
Roadmap (YAML-driven + in-app UI) Added a YAML-backed roadmap with an in-app view at /roadmap. Supports section switching (Roadmap / Backlog / Open Questions), filters (q, tag, min_priority, milestone), tag chips, and a Details modal that renders multi-paragraph content from a new details field. The roadmap file path is configurable via ROADMAP_FILE (env or Flask config) for dev/prod flexibility.
Modal sizing & ergonomics Increased modal width at larger breakpoints and made the body scrollable so long details don’t squish other content.

Template Includes
Extracted shared UI sections (headers, footers, layout chunks) into separate Jinja includes, improving maintainability and readability of templates.
Roadmap loader simplification Removed the cache layer; loader now returns typed dataclasses (RoadmapData / RoadmapItem) and normalizes details via _normalize_details() (accepts block string or list).
Safer JSON in templates Use |tojson|forceescape when embedding the item payload in data-item attributes to avoid escaping issues.

Table Rendering
Locked table column widths and fixed snippet scaling issues to prevent column misalignment and content reflow.
This ensures analysis results (like script and form findings) remain readable and properly aligned.
Rules Engine State
Fixed a bug where the rules engine was not being pulled correctly from the application state after the previous refactor.
This restores proper detection of suspicious scripts/forms and ensures rule definitions (with name and description) are honored.
YAML parsing edge cases Resolved ScannerError by quoting scalars containing : / # and using explicit null where appropriate.
/roadmap page stability Fixed AttributeError: 'dict' object has no attribute 'roadmap' by returning structured objects from the loader.
Modal population Ensured details are passed through the route and included in the button payload; JS now uses DOM-ready + event delegation to reliably populate the modal.

Implemented initial Flask-based web UI for URL submission and analysis.
Added domain & IP enrichment (WHOIS, GeoIP, ASN/ISP lookups).
Built first version of the Suspicious Rules Engine for script and form detection.
Basic Docker setup for sandboxed deployment.