updating docs

2025-11-17 15:50:15 -06:00
parent 72c4f3d29b
commit 456e052389
9 changed files with 166 additions and 8550 deletions
--- a/docs/ai/API_REFERENCE.md
+++ b/docs/ai/API_REFERENCE.md
--- a/docs/ai/DEPLOYMENT.md
+++ b/docs/ai/DEPLOYMENT.md
--- a/docs/ai/ROADMAP.md
+++ b/docs/ai/ROADMAP.md
@@ -4,33 +4,19 @@
 ## Progress Overview
 - ✅ **Phase 1: Foundation** - Complete (2025-11-13)
-  - Database schema & SQLAlchemy models
+  - Database schema, SQLAlchemy models, settings system, Flask app structure
  - Settings system with encryption
  - Flask app structure with API blueprints
  - Docker deployment support
 - ✅ **Phase 2: Flask Web App Core** - Complete (2025-11-14)
-  - REST API for scan management (5 endpoints)
+  - REST API, background jobs, authentication, web UI, testing (100 tests)
  - Background job queue with APScheduler
  - Session-based authentication system
  - Basic UI templates (dashboard, scans, login)
  - Comprehensive error handling and logging
  - 100 tests passing (1,825 lines of test code)
 - ✅ **Phase 3: Dashboard & Scheduling** - Complete (2025-11-14)
-  - Dashboard with summary stats and recent scans
+  - Dashboard, scan history, scheduled scans, trend charts
  - Scan history browser with detail pages
  - Scheduled scan management UI
  - Background scheduler with APScheduler
  - Trend charts with Chart.js
 - ✅ **Phase 4: Config Creator** - Complete (2025-11-17)
-  - CIDR-based config creation (simplified workflow)
+  - CIDR-based config creation, YAML editor, config management UI
-  - YAML editor with CodeMirror (syntax highlighting)
+- 📋 **Phase 5: Email & Comparisons** - Next Up
-  - Config management UI (list, view, edit, download, delete)
+  - Email notifications, alert rules, scan comparison
  - Direct YAML upload for advanced users
  - Full REST API for config operations
  - Schedule dependency protection (delete blocking)
 - 📋 **Phase 5: Email & Comparisons** - Next up
 - 📋 **Phase 6: CLI as API Client** - Planned
- 📋 **Phase 7: Advanced Features** - Planned
+  - CLI for scripting and automation via API
 - 📋 **Phase 7: Advanced Features** - Future
  - CVE integration, timeline view, PDF export, enhanced reports
 ## Recent Bug Fixes
@@ -55,16 +41,19 @@
 ## Vision & Goals
-SneakyScanner is evolving from a CLI-based network scanning tool into a comprehensive **Flask web application** for infrastructure monitoring and security auditing. The web application will provide:
+SneakyScanner is a comprehensive **Flask web application** for infrastructure monitoring and security auditing. The primary interface is the web GUI, with a CLI API client planned for scripting and automation needs.
 **Core Features:**
 - **Centralized dashboard** for viewing scan history and trends
 - **Scheduled scanning** for continuous infrastructure monitoring
- **Email notifications** for critical changes and certificate expirations
+- **Email notifications** for critical changes and certificate expirations (coming soon)
 - **Historical analysis** with charts, graphs, and comparison reports
 - **Config creator** for easy CIDR-based scan configuration
 - **RESTful API** for integration and automation
 - **Simple deployment** using SQLite3 (single-user, self-hosted)
-The CLI scanner will evolve into an **API client**, maintaining backward compatibility while enabling web-based management and visualization.
+**Planned:**
 - **CLI API client** for scripting and automation workflows (Phase 6)
 ## Target Users
@@ -391,441 +380,213 @@ All API endpoints return JSON and follow RESTful conventions.
 ### Phase 1: Foundation ✅ COMPLETE
 **Completed:** 2025-11-13
 **Priority: CRITICAL** - Database and settings infrastructure
 **Goals:**
 - ✅ Establish database schema
 - ✅ Create settings system
 - ✅ Set up Flask project structure
 **Tasks:**
 1. ✅ Create SQLite database schema (use Alembic for migrations)
 2. ✅ Implement SQLAlchemy models for all tables (11 models)
 3. ✅ Create database initialization script (`init_db.py`)
 4. ✅ Implement settings system:
   - ✅ Settings model with get/set methods
   - ✅ Default settings initialization
   - ✅ Encrypted storage for passwords (cryptography library + bcrypt)
   - ✅ PasswordManager for bcrypt password hashing
 5. ✅ Set up Flask project structure:
   ```
   SneakyScanner/
   ├── src/
   │   ├── scanner.py (existing)
   │   ├── screenshot_capture.py (existing)
   │   └── report_generator.py (existing)
   ├── web/                              ✅ CREATED
   │   ├── __init__.py                   ✅
   │   ├── app.py (Flask app factory)    ✅
   │   ├── models.py (SQLAlchemy models) ✅
   │   ├── api/ (API blueprints)         ✅
   │   │   ├── __init__.py               ✅
   │   │   ├── scans.py                  ✅
   │   │   ├── schedules.py              ✅
   │   │   ├── alerts.py                 ✅
   │   │   └── settings.py               ✅ (Fully functional!)
   │   ├── templates/ (Jinja2 templates) ✅
   │   ├── static/ (CSS, JS, images)     ✅
   │   │   ├── css/                      ✅
   │   │   ├── js/                       ✅
   │   │   └── images/                   ✅
   │   └── utils/ (helpers, decorators)  ✅
   │       ├── __init__.py               ✅
   │       └── settings.py               ✅
   ├── migrations/ (Alembic migrations)  ✅
   │   ├── env.py                        ✅
   │   ├── script.py.mako                ✅
   │   └── versions/                     ✅
   │       └── 001_initial_schema.py     ✅
   ├── alembic.ini                       ✅
   ├── configs/ (existing)
   ├── output/ (existing)
   └── templates/ (existing - for reports)
   ```
 6. ✅ Create `requirements-web.txt` for Flask dependencies
 7. ✅ Update Dockerfile to support Flask app
 8. ✅ Create `docker-compose-web.yml` for web deployment
 9. ✅ Create `validate_phase1.py` for verification
 **Deliverables:**
- ✅ Working database with schema (SQLite3 + Alembic migrations)
+- SQLite database with 11 tables (scans, sites, IPs, ports, services, certificates, TLS versions, schedules, alerts, alert_rules, settings)
- ✅ Settings CRUD functionality (with encryption for sensitive values)
+- SQLAlchemy ORM models with relationships
- ✅ Flask app skeleton with functional Settings API
+- Alembic migration system
- ✅ Database migration system (Alembic)
+- Settings system with encryption (bcrypt for passwords, Fernet for sensitive data)
- ✅ API blueprint stubs (scans, schedules, alerts, settings)
+- Flask app structure with API blueprints
- ✅ Docker support (Dockerfile updated, docker-compose-web.yml created)
+- Docker Compose deployment configuration
-
+- Validation script for verification
 **Testing:**
 - ✅ Database creates successfully (`init_db.py` works)
 - ✅ Settings can be stored/retrieved (encryption working)
 - ✅ Flask app starts without errors (`python3 -m web.app` works)
 - ✅ All validation checks pass (`validate_phase1.py` ✓)
 - ✅ All 11 database models defined correctly
 - ✅ Settings API endpoints functional and tested
 **Documentation:**
 - ✅ `PHASE1_COMPLETE.md` - Complete Phase 1 summary with API reference and deployment guide
 - ✅ `validate_phase1.py` - Automated validation script
 ---
 ### Phase 2: Flask Web App Core ✅ COMPLETE
 **Completed:** 2025-11-14
 **Duration:** 14 days (Weeks 3-4)
 **Priority:** HIGH
 **Goals:**
 - ✅ Implement REST API for scans
 - ✅ Add background job queue
 - ✅ Create simple authentication
 - ✅ Integrate scanner with database
 **Deliverables Completed:**
 - ✅ **REST API** - 5 scan endpoints (trigger, list, get, status, delete) + 3 settings endpoints
 - ✅ **Background Jobs** - APScheduler with ThreadPoolExecutor (up to 3 concurrent scans)
 - ✅ **Authentication** - Flask-Login session-based auth (login, logout, decorators)
 - ✅ **Database Integration** - Complete scan results saved to normalized schema
 - ✅ **Web UI** - Dashboard, scans list/detail, login, error templates
 - ✅ **Error Handling** - Content negotiation (JSON/HTML), custom error pages, request IDs
 - ✅ **Logging** - Rotating file handlers (10MB max), request timing, structured logs
 - ✅ **Docker Deployment** - Production-ready docker-compose with healthcheck
 - ✅ **Testing** - 100 test functions, 1,825 lines of test code, all passing
 - ✅ **Documentation** - API_REFERENCE.md, DEPLOYMENT.md, PHASE2_COMPLETE.md
 **Files Created:** 34 files, ~7,500+ lines of code
 **Key Features:**
 - Scans execute in background without blocking HTTP requests
 - Status tracking: `running` → `completed`/`failed`
 - Pagination and filtering for scan lists
 - Complete scan details with all relationships (sites, IPs, ports, services, certs, TLS)
 - Secure password hashing with bcrypt
 - SQLite WAL mode for better concurrency
 - Request IDs for debugging and correlation
 - Comprehensive error handling for all HTTP status codes
 **Testing Results:**
 - ✅ All API endpoints tested (24 integration tests)
 - ✅ Service layer tested (15 unit tests)
 - ✅ Authentication tested (30+ tests)
 - ✅ Background jobs tested (13 tests)
 - ✅ Error handling tested (18+ tests)
 - ✅ All 100 tests passing
 **Documentation:**
 - [PHASE2_COMPLETE.md](PHASE2_COMPLETE.md) - Complete Phase 2 summary
 - [API_REFERENCE.md](API_REFERENCE.md) - Comprehensive API documentation
 - [DEPLOYMENT.md](DEPLOYMENT.md) - Production deployment guide
 - README.md updated with Phase 2 features
 ---
 ### Phase 3: Dashboard & Scheduling (Weeks 5-6)
 **Priority: HIGH** - User's top requested features
 **Goals:**
 - Build web dashboard with scan history
 - Implement trend charts
 - Add scheduled scan management UI
 - Real-time scan progress
 **Tasks:**
 1. Dashboard implementation:
   - Summary cards (total scans, last scan, total IPs, open ports)
   - Recent scans table (clickable to view details)
   - Security warnings section (expiring certs, weak TLS)
   - Drift alerts section (unexpected ports, new services)
 2. Scan detail page:
   - Display full scan results (sites, IPs, services)
   - Embedded screenshots or links
   - Download buttons (JSON, HTML, ZIP)
   - Delete scan button
 3. Trend charts with Chart.js:
   - Port count over time (line chart)
   - Service distribution (bar chart)
   - Certificate expiration timeline (timeline chart)
   - Charts update based on date range selector
 4. Scheduled scans UI:
   - List all schedules (table with enable/disable toggle)
   - Create schedule form (name, config file, cron expression)
   - Edit schedule form
   - Delete schedule button
   - Next run time display
 5. APScheduler integration:
   - Schedule manager class
   - Load schedules from DB on app start
   - Add/remove jobs dynamically
   - Cron expression validation
   - Update `next_run` and `last_run` in DB
 6. Manual scan trigger:
   - "Run Scan Now" button on dashboard
   - Config file selector
   - Show real-time progress (polling or WebSocket)
 7. Navigation menu:
   - Dashboard
   - Scans
   - Schedules
   - Alerts (placeholder)
   - Settings (placeholder)
 **Deliverables:**
- Functional dashboard with charts
+- REST API with 8 endpoints (scans: trigger, list, get, status, delete; settings: get, update, test-email)
- Scan history browser
+- Background job queue using APScheduler (up to 3 concurrent scans)
- Scheduled scan management UI
+- Session-based authentication with Flask-Login
- Background scheduler running scans
+- Database integration for scan results (full normalized schema population)
-
+- Web UI templates (dashboard, scan list/detail, login, error pages)
-**Testing:**
+- Error handling with content negotiation (JSON/HTML) and request IDs
- Dashboard displays accurate summary stats
+- Logging system with rotating file handlers
- Charts render correctly with real data
+- Production Docker Compose deployment
- Scheduled scans execute at specified times
+- Comprehensive test suite (100 tests, all passing)
- Manual scan trigger works
+- Documentation (API_REFERENCE.md, DEPLOYMENT.md)
 - Real-time progress updates
 ---
-### Phase 4: Email & Comparisons (Weeks 7-8)
+### Phase 3: Dashboard & Scheduling ✅ COMPLETE
-**Priority: MEDIUM** - Monitoring and analysis features
+**Completed:** 2025-11-14
 **Deliverables:**
 - Dashboard with summary stats (total scans, IPs, ports, services)
 - Recent scans table with clickable details
 - Scan detail page with full results display
 - Historical trend charts using Chart.js (port counts over time)
 - Scheduled scan management UI (create, edit, delete, enable/disable)
 - Schedule execution with APScheduler and cron expressions
 - Manual scan trigger from web UI
 - Navigation menu (Dashboard, Scans, Schedules, Configs, Settings)
 - Download buttons for scan reports (JSON, HTML, ZIP)
 ---
 ### Phase 4: Config Creator ✅ COMPLETE
 **Completed:** 2025-11-17
 **Deliverables:**
 - CIDR-based config creation UI (simplified workflow for quick config generation)
 - YAML editor with CodeMirror (syntax highlighting, line numbers)
 - Config management UI (list, view, edit, download, delete)
 - Direct YAML upload for advanced users
 - REST API for config operations (7 endpoints: list, get, create, update, delete, upload, download)
 - Schedule dependency protection (prevents deleting configs used by schedules)
 - Comprehensive testing (25+ unit and integration tests)
 ---
 ### Phase 5: Email & Comparisons
 **Status:** Next Up
 **Priority:** MEDIUM
 **Goals:**
 - Implement email notification system
 - Create scan comparison reports
 - Add alert rule configuration
-**Tasks:**
+**Planned Features:**
-1. Email notification system:
+1. **Email Notifications:**
-   - SMTP integration (using `smtplib` or `Flask-Mail`)
+   - SMTP integration with configurable settings
-   - Email template for alerts (Jinja2 HTML email)
+   - Alert email templates (Jinja2 HTML)
-   - Settings page for SMTP configuration
+   - Test email functionality
-   - Test email button
+   - Email triggers for critical events
-2. Alert rule engine:
+
-   - Define alert rule types:
+2. **Alert Rule Engine:**
-     - Unexpected TCP/UDP port opened
+   - Alert types: unexpected ports, cert expiry, service changes, host down, weak TLS
-     - Expected port missing
+   - Alert rule creation and management UI
-     - Certificate expiring in < N days
+   - Automatic evaluation after each scan
-     - Certificate expired
+   - Alert history with severity filtering
-     - Service version changed
+
-     - Ping failed (host down)
+3. **Scan Comparison:**
     - Weak TLS version detected (1.0/1.1)
   - Alert rule creation UI
   - Alert rule evaluation after each scan
   - Store alerts in `alerts` table
 3. Alert history page:
   - List all alerts (filterable by type, severity, date)
   - Mark alerts as "acknowledged"
   - Alert detail view
 4. Scan comparison:
   - Compare two scans API endpoint
-   - Comparison algorithm:
+   - Diff detection (new/removed ports, service changes, cert changes)
-     - New ports/services
+   - Visual comparison UI with highlighting
-     - Removed ports/services
+   - "Compare" button on scan list
     - Service version changes
     - Certificate changes
     - TLS configuration changes
   - Comparison report UI:
     - Side-by-side view
     - Diff highlighting (green = added, red = removed, yellow = changed)
   - "Compare" button on scan list (select 2 scans)
 5. Email notification triggers:
   - Send email when alert rule triggered
   - Daily digest email (summary of all alerts)
   - Weekly scan summary email
 6. Settings page:
   - SMTP configuration form
   - Alert rule management
   - Email recipient list
   - Test email button
 **Deliverables:**
 - Working email notification system
 - Alert rules with email triggers
 - Scan comparison functionality
 - Settings UI for configuration
 **Testing:**
 - Email sends successfully with SMTP config
 - Alert rules trigger correctly
 - Comparison shows accurate diffs
 - Settings persist correctly
 ---
-### Phase 5: CLI as API Client (Week 9)
+### Phase 6: CLI as API Client
-**Priority: MEDIUM** - Backward compatibility and automation
+**Status:** Planned
 **Priority:** MEDIUM
 **Goals:**
- Refactor CLI to optionally call Flask API
+- Create CLI API client for scripting and automation
 - Maintain standalone mode for testing
 - API token authentication
-**Tasks:**
+**Planned Features:**
-1. API client mode for `scanner.py`:
+1. **API Client Mode:**
-   - Add `--api-mode` flag
+   - `--api-mode` flag to enable API client mode
-   - Add `--api-url` and `--api-token` arguments
+   - `--api-url` and `--api-token` arguments
-   - When `--api-mode` enabled:
+   - Trigger scans via API, poll for status, download results
     - Send scan request to `POST /api/scans`
     - Poll `GET /api/scans/{id}/status` for progress
     - Download results when complete
   - When `--api-mode` disabled (default):
     - Run standalone as currently works
 2. API token generation:
   - UI to generate API tokens (settings page)
   - Store tokens in `api_tokens` table (hashed)
   - API token authentication middleware
   - Token expiration and revocation
 3. CLI documentation:
   - Update README.md with API mode usage
   - Example commands for API mode
   - Token generation instructions
 4. Benefits of API mode:
   - Scans stored centrally in database
   - Standalone mode still available for testing
 2. **API Token System:**
   - Token generation UI in settings page
   - Secure token storage (hashed in database)
   - Token authentication middleware
   - Token expiration and revocation
 3. **Benefits:**
   - Centralized scan history accessible via web dashboard
   - No need to mount volumes for output
   - Scheduled scans managed through web UI
-   - Scan history accessible via web dashboard
+   - Scriptable automation while leveraging web features
 **Deliverables:**
 - CLI with `--api-mode` flag
 - API token system
 - Updated documentation
 **Testing:**
 - CLI can trigger scan via API
 - API token authentication works
 - Standalone mode still functional
 - Token revocation works
 ---
-### Phase 6: Advanced Features (Weeks 10+)
+### Phase 7: Advanced Features
-**Priority: LOW** - Nice-to-have enhancements
+**Status:** Future/Deferred
 **Priority:** LOW
-**Goals:**
+**Planned Features:**
- Enhanced interactive reports
+1. **Enhanced Reports:**
 - Vulnerability detection
 - PDF export
 - Timeline view
 **Tasks:**
 1. Enhanced HTML reports:
   - Sortable/filterable tables (DataTables.js)
-   - Inline screenshot thumbnails (lightbox on click)
+   - Inline screenshot thumbnails with lightbox
-   - Export to PDF button (WeasyPrint or pdfkit)
+   - PDF export (WeasyPrint)
-   - Print-friendly CSS
+
-2. Vulnerability detection:
+2. **Vulnerability Detection:**
-   - Integrate with CVE databases (NVD API or Vulners API)
+   - CVE database integration (NVD API)
-   - Match detected services/versions to known CVEs
+   - Service version matching to known CVEs
-   - Display CVE list with severity scores (CVSS)
+   - CVSS severity scores
-   - CVE detail page with description, remediation
+   - Alert rules for critical CVEs
-   - Alert rule for new critical CVEs
+
-3. Timeline view:
+3. **Timeline View:**
-   - Visual timeline of all scans
+   - Visual scan history timeline
-   - Filter by site or IP
+   - Filter by site/IP
-   - Click on timeline event to view scan
+   - Event annotations
-   - Annotations for important events (cert renewals, config changes)
+
-4. Advanced charts:
+4. **Advanced Charts:**
-   - Heatmap of port activity
+   - Port activity heatmap
-   - Service version tracking over time
+   - Service version tracking
   - Certificate expiration forecast
-   - Top 10 services pie chart
+
-5. Export/Import:
+5. **Integrations:**
-   - Export scan data to CSV
+   - Slack notifications
-   - Import scan configs from CSV
+   - Webhook support
   - Bulk schedule creation
 6. Additional integrations:
   - Slack notifications (in addition to email)
   - Webhook support (POST to custom URL on events)
   - Prometheus metrics export
-
+   - CSV export/import
 **Deliverables:**
 - Interactive sortable tables
 - CVE integration
 - PDF export
 - Timeline view
 - Additional integrations
 **Testing:**
 - DataTables work with large datasets
 - CVE data fetches correctly
 - PDF exports render properly
 - Timeline view performs well with many scans
 ---
-## Migration Strategy
+## Current Architecture
-### From Current CLI to Web App
+**Primary Interface:** Web GUI (Phases 1-4 Complete)
 - Full-featured Flask web application
 - Dashboard, scan management, scheduling, config creator
 - REST API for all operations
 - Single-user deployment with SQLite
-**Current State:**
+**Coming Soon:** CLI API Client (Phase 6 Planned)
- CLI tool (`scanner.py`) runs standalone
+- Thin client for scripting and automation
- Outputs JSON, HTML, ZIP files
+- Calls Flask API for scan operations
- No database, no web UI
+- Results stored centrally in database
 - Access to all web features via command line
-**Migration Path:**
+**Core Scanning Engine:**
 - Masscan for port discovery
 - Nmap for service detection
 - Playwright for screenshots
 - sslyze for SSL/TLS analysis
-#### Step 1: Add Database Layer (Phase 1)
+**Deployment:**
- Database runs alongside CLI
+- Docker Compose for easy deployment
- CLI can optionally save to DB (flag: `--save-to-db`)
+- SQLite database (single-user, embedded)
- No breaking changes
+- Gunicorn WSGI server
-
+- Optional Nginx reverse proxy
 #### Step 2: Launch Web App (Phase 2-3)
 - Web app reads from DB
 - Users can trigger scans via web UI
 - CLI still works standalone
 #### Step 3: Transition Period (Phase 4-5)
 - Users gradually adopt web UI
 - CLI used for scripting/automation
 - Both modes fully supported
 #### Step 4: API Client Mode (Phase 5)
 - CLI becomes thin API client
 - All scans stored in central DB
 - Standalone mode remains for testing
 #### Step 5: Full Web App (Phase 6+)
 - Primary interface is web UI
 - CLI optional for power users
 ### Backward Compatibility
 **Maintained:**
 - Existing YAML config format
 - JSON/HTML/ZIP output files
 - Screenshot capture
 - Docker deployment
 **Deprecated (eventually):**
 - Standalone CLI mode (Phase 6+)
 - Direct file output (replaced by DB + API)
 ## Prioritized Feature List
-### Must-Have (Phases 1-3)
+### Completed ✅ (Phases 1-4)
 1. **Database foundation** (SQLite3 + SQLAlchemy)
 2. **Flask web app core** (REST API, authentication)
 3. **Dashboard with scan history** (list, detail, delete)
-4. **Trend charts** (Chart.js - port counts, service distribution)
+4. **Trend charts** (Chart.js - port counts over time)
 5. **Scheduled scans** (APScheduler + cron expressions)
-6. **Manual scan trigger** (web UI button)
+6. **Config creator** (CIDR-based, YAML editor)
-### Should-Have (Phase 4)
+### Next Up (Phase 5)
 7. **Email notifications** (SMTP integration)
 8. **Alert rules** (cert expiry, unexpected ports, etc.)
 9. **Scan comparison reports** (diff view)
 10. **Settings UI** (SMTP, alerts, retention)
-### Nice-to-Have (Phases 5-6)
+### Planned (Phase 6-7)
-11. **CLI as API client** (token auth, backward compat)
+10. **CLI as API client** (token auth, scripting)
-12. **Sortable/filterable tables** (DataTables.js)
+11. **Sortable/filterable tables** (DataTables.js)
-13. **PDF export** (WeasyPrint)
+12. **PDF export** (WeasyPrint)
-14. **Vulnerability detection** (CVE integration)
+13. **Vulnerability detection** (CVE integration)
-15. **Timeline view** (visual scan history)
+14. **Timeline view** (visual scan history)
 16. **Embedded screenshot thumbnails** (lightbox)
 ### Future/Deferred
-17. **Multi-user support** (if requirements change)
+15. **Multi-user support** (if requirements change)
-18. **Slack/webhook integrations**
+16. **Slack/webhook integrations**
-19. **Prometheus metrics**
+17. **Prometheus metrics**
-20. **Mobile-responsive dashboard** (Bootstrap handles basics)
+18. **Advanced charts** (heatmaps, forecasts)
 ## Development Workflow
@@ -900,7 +661,7 @@ All API endpoints return JSON and follow RESTful conventions.
 - [ ] API tokens work for authentication
 - [ ] Standalone CLI mode still functional
-### Phase 6+ Success
+### Phase 7 Success (Advanced Features)
 - [ ] CVE integration provides actionable vulnerability data
 - [ ] Timeline view helps track infrastructure changes
 - [ ] PDF exports are shareable and professional
@@ -947,6 +708,7 @@ All API endpoints return JSON and follow RESTful conventions.
 | 2025-11-14 | 1.2 | **Phase 2 COMPLETE** - REST API (5 scan endpoints, 3 settings endpoints), background jobs (APScheduler), authentication (Flask-Login), web UI (dashboard, scans, login, errors), error handling (content negotiation, request IDs, logging), 100 tests passing, comprehensive documentation (API_REFERENCE.md, DEPLOYMENT.md, PHASE2_COMPLETE.md) |
 | 2025-11-17 | 1.3 | **Bug Fix** - Fixed Chart.js infinite canvas growth issue in scan detail page (duplicate initialization, missing chart.destroy(), missing fixed-height container) |
 | 2025-11-17 | 1.4 | **Phase 4 COMPLETE** - Config Creator with CIDR-based creation, YAML editor (CodeMirror), config management UI (list/edit/delete), REST API (7 endpoints), Docker volume permissions fix, comprehensive testing and documentation |
 | 2025-11-17 | 1.5 | **Roadmap Compression** - Condensed completed phases (1-4) into concise summaries, updated project scope to emphasize web GUI frontend with CLI as API client coming soon (Phase 6), reorganized phases for clarity |
 ---
--- a/docs/ai/MANUAL_TESTING.md
+++ b/docs/ai/MANUAL_TESTING.md
@@ -1,876 +0,0 @@
 # SneakyScanner Phase 2 - Manual Testing Checklist
 **Version:** 2.0 (Phase 2)
 **Last Updated:** 2025-11-14
 This document provides a comprehensive manual testing checklist for validating the SneakyScanner web application. Use this checklist to verify all features work correctly before deployment or release.
 ---
 ## Table of Contents
 1. [Prerequisites](#prerequisites)
 2. [Deployment & Startup](#deployment--startup)
 3. [Authentication](#authentication)
 4. [Scan Management (Web UI)](#scan-management-web-ui)
 5. [Scan Management (API)](#scan-management-api)
 6. [Error Handling](#error-handling)
 7. [Performance & Concurrency](#performance--concurrency)
 8. [Data Persistence](#data-persistence)
 9. [Security](#security)
 10. [Cleanup](#cleanup)
 ---
 ## Prerequisites
 Before starting manual testing:
 - [ ] Docker and Docker Compose installed
 - [ ] `.env` file configured with proper keys
 - [ ] Test scan configuration available (e.g., `configs/example-site.yaml`)
 - [ ] Network access for scanning (if using real targets)
 - [ ] Browser for web UI testing (Chrome, Firefox, Safari, Edge)
 - [ ] `curl` and `jq` for API testing
 - [ ] At least 2GB free disk space for scan results
 **Recommended Test Environment:**
 - Clean database (no existing scans)
 - Test config with 1-2 IPs, 2-3 expected ports
 - Expected scan duration: 1-3 minutes
 ---
 ## Deployment & Startup
 ### Test 1: Environment Configuration
 **Objective:** Verify environment variables are properly configured.
 **Steps:**
 1. Check `.env` file exists:
   ```bash
   ls -la .env
   ```
 2. Verify required keys are set (not defaults):
   ```bash
   grep SECRET_KEY .env
   grep SNEAKYSCANNER_ENCRYPTION_KEY .env
   ```
 3. Verify keys are not default values:
   ```bash
   grep -v "your-secret-key-here" .env | grep SECRET_KEY
   ```
 **Expected Result:**
 - [ ] `.env` file exists
 - [ ] `SECRET_KEY` is set to unique value (not `your-secret-key-here`)
 - [ ] `SNEAKYSCANNER_ENCRYPTION_KEY` is set to unique value
 - [ ] All required environment variables present
 ### Test 2: Docker Compose Startup
 **Objective:** Verify web application starts successfully.
 **Steps:**
 1. Start services:
   ```bash
   docker-compose -f docker-compose-web.yml up -d
   ```
 2. Check container status:
   ```bash
   docker-compose -f docker-compose-web.yml ps
   ```
 3. Check logs for errors:
   ```bash
   docker-compose -f docker-compose-web.yml logs web | tail -50
   ```
 4. Wait 30 seconds for healthcheck to pass
 **Expected Result:**
 - [ ] Container starts without errors
 - [ ] Status shows "Up" or "healthy"
 - [ ] No error messages in logs
 - [ ] Port 5000 is listening
 ### Test 3: Health Check
 **Objective:** Verify health check endpoint responds correctly.
 **Steps:**
 1. Call health endpoint:
   ```bash
   curl -s http://localhost:5000/api/settings/health | jq '.'
   ```
 **Expected Result:**
 - [ ] HTTP 200 status code
 - [ ] Response: `{"status": "healthy", "database": "connected"}`
 - [ ] No authentication required
 ### Test 4: Database Initialization
 **Objective:** Verify database was created and initialized.
 **Steps:**
 1. Check database file exists:
   ```bash
   docker exec sneakyscanner_web ls -lh /app/data/sneakyscanner.db
   ```
 2. Verify database has tables:
   ```bash
   docker exec sneakyscanner_web sqlite3 /app/data/sneakyscanner.db ".tables"
   ```
 **Expected Result:**
 - [ ] Database file exists (`sneakyscanner.db`)
 - [ ] Database file size > 0 bytes
 - [ ] All 11 tables present: `scans`, `scan_sites`, `scan_ips`, `scan_ports`, `scan_services`, `scan_certificates`, `scan_tls_versions`, `schedules`, `alerts`, `alert_rules`, `settings`
 ---
 ## Authentication
 ### Test 5: Login Page Access
 **Objective:** Verify unauthenticated users are redirected to login.
 **Steps:**
 1. Open browser to http://localhost:5000/dashboard (without logging in)
 2. Observe redirect
 **Expected Result:**
 - [ ] Redirected to http://localhost:5000/login
 - [ ] Login page displays correctly
 - [ ] Dark theme applied (slate/grey colors)
 - [ ] Username and password fields visible
 - [ ] "Login" button visible
 ### Test 6: Login with Correct Password
 **Objective:** Verify successful login flow.
 **Steps:**
 1. Navigate to http://localhost:5000/login
 2. Enter password (default: `admin`)
 3. Click "Login" button
 **Expected Result:**
 - [ ] Redirected to http://localhost:5000/dashboard
 - [ ] No error messages
 - [ ] Navigation bar shows "Dashboard", "Scans", "Settings", "Logout"
 - [ ] Welcome message displayed
 ### Test 7: Login with Incorrect Password
 **Objective:** Verify failed login handling.
 **Steps:**
 1. Navigate to http://localhost:5000/login
 2. Enter incorrect password (e.g., `wrongpassword`)
 3. Click "Login" button
 **Expected Result:**
 - [ ] Stays on login page (no redirect)
 - [ ] Error message displayed: "Invalid password"
 - [ ] Password field cleared
 - [ ] Can retry login
 ### Test 8: Logout
 **Objective:** Verify logout destroys session.
 **Steps:**
 1. Login successfully
 2. Navigate to http://localhost:5000/dashboard
 3. Click "Logout" in navigation bar
 4. Try to access http://localhost:5000/dashboard again
 **Expected Result:**
 - [ ] Logout redirects to login page
 - [ ] Flash message: "Logged out successfully"
 - [ ] Session destroyed (redirected to login when accessing protected pages)
 - [ ] Cannot access dashboard without re-logging in
 ### Test 9: API Authentication (Session Cookie)
 **Objective:** Verify API endpoints require authentication.
 **Steps:**
 1. Call API endpoint without authentication:
   ```bash
   curl -i http://localhost:5000/api/scans
   ```
 2. Login and save session cookie:
   ```bash
   curl -X POST http://localhost:5000/auth/login \
     -H "Content-Type: application/json" \
     -d '{"password":"admin"}' \
     -c cookies.txt
   ```
 3. Call API endpoint with session cookie:
   ```bash
   curl -b cookies.txt http://localhost:5000/api/scans
   ```
 **Expected Result:**
 - [ ] Request without auth returns 401 Unauthorized
 - [ ] Login returns 200 OK with session cookie
 - [ ] Request with auth cookie returns 200 OK with scan data
 ---
 ## Scan Management (Web UI)
 ### Test 10: Dashboard Display
 **Objective:** Verify dashboard loads and displays correctly.
 **Steps:**
 1. Login successfully
 2. Navigate to http://localhost:5000/dashboard
 3. Observe page content
 **Expected Result:**
 - [ ] Dashboard loads without errors
 - [ ] Welcome message displayed
 - [ ] "Run Scan Now" button visible
 - [ ] Recent scans section visible (may be empty)
 - [ ] Navigation works
 ### Test 11: Trigger Scan via Web UI
 **Objective:** Verify scan can be triggered from dashboard.
 **Steps:**
 1. Login and go to dashboard
 2. Click "Run Scan Now" button
 3. Observe scan starts
 4. Wait for scan to complete (1-3 minutes)
 **Expected Result:**
 - [ ] Scan starts (status shows "Running")
 - [ ] Scan appears in recent scans list
 - [ ] Scan ID assigned and displayed
 - [ ] Status updates to "Completed" after scan finishes
 - [ ] No error messages
 **Note:** If "Run Scan Now" button not yet implemented, use API to trigger scan (Test 15).
 ### Test 12: View Scan List
 **Objective:** Verify scan list page displays correctly.
 **Steps:**
 1. Login successfully
 2. Navigate to http://localhost:5000/scans
 3. Trigger at least 3 scans (via API or UI)
 4. Refresh scan list page
 **Expected Result:**
 - [ ] Scan list page loads
 - [ ] All scans displayed in table
 - [ ] Columns: ID, Timestamp, Title, Status, Actions
 - [ ] Pagination controls visible (if > 20 scans)
 - [ ] Each scan has "View" and "Delete" buttons
 ### Test 13: View Scan Details
 **Objective:** Verify scan detail page displays complete results.
 **Steps:**
 1. From scan list, click "View" on a completed scan
 2. Observe scan details page
 **Expected Result:**
 - [ ] Scan details page loads (http://localhost:5000/scans/{id})
 - [ ] Scan metadata displayed (ID, timestamp, duration, status)
 - [ ] Sites section visible
 - [ ] IPs section visible with ping status
 - [ ] Ports section visible (TCP/UDP)
 - [ ] Services section visible with product/version
 - [ ] HTTPS services show certificate details (if applicable)
 - [ ] TLS versions displayed (if applicable)
 - [ ] Screenshot links work (if screenshots captured)
 - [ ] Download buttons for JSON/HTML/ZIP files
 ### Test 14: Delete Scan via Web UI
 **Objective:** Verify scan deletion removes all data and files.
 **Steps:**
 1. Login and navigate to scan list
 2. Note a scan ID to delete
 3. Click "Delete" button on scan
 4. Confirm deletion
 5. Check database and filesystem
 **Expected Result:**
 - [ ] Confirmation prompt appears
 - [ ] After confirmation, scan removed from list
 - [ ] Scan no longer appears in database
 - [ ] JSON/HTML/ZIP files deleted from filesystem
 - [ ] Screenshot directory deleted
 - [ ] Success message displayed
 ---
 ## Scan Management (API)
 ### Test 15: Trigger Scan via API
 **Objective:** Verify scan can be triggered via REST API.
 **Steps:**
 1. Login and save session cookie (see Test 9)
 2. Trigger scan:
   ```bash
   curl -X POST http://localhost:5000/api/scans \
     -H "Content-Type: application/json" \
     -d '{"config_file":"/app/configs/example-site.yaml"}' \
     -b cookies.txt | jq '.'
   ```
 3. Note the `scan_id` from response
 **Expected Result:**
 - [ ] HTTP 201 Created response
 - [ ] Response includes `scan_id` (integer)
 - [ ] Response includes `status: "running"`
 - [ ] Response includes `message: "Scan queued successfully"`
 ### Test 16: Poll Scan Status
 **Objective:** Verify scan status can be polled via API.
 **Steps:**
 1. Trigger a scan (Test 15) and note `scan_id`
 2. Poll status immediately:
   ```bash
   curl -b cookies.txt http://localhost:5000/api/scans/{scan_id}/status | jq '.'
   ```
 3. Wait 30 seconds and poll again
 4. Continue polling until status is `completed` or `failed`
 **Expected Result:**
 - [ ] Initial status: `"running"`
 - [ ] Response includes `started_at` timestamp
 - [ ] Response includes `completed_at: null` while running
 - [ ] After completion: status changes to `"completed"` or `"failed"`
 - [ ] `completed_at` timestamp set when done
 - [ ] If failed, `error_message` is present
 ### Test 17: Get Scan Details via API
 **Objective:** Verify complete scan details can be retrieved via API.
 **Steps:**
 1. Trigger a scan and wait for completion
 2. Get scan details:
   ```bash
   curl -b cookies.txt http://localhost:5000/api/scans/{scan_id} | jq '.'
   ```
 **Expected Result:**
 - [ ] HTTP 200 OK response
 - [ ] Response includes all scan metadata (id, timestamp, duration, status, title)
 - [ ] Response includes file paths (json_path, html_path, zip_path, screenshot_dir)
 - [ ] Response includes `sites` array
 - [ ] Each site includes `ips` array
 - [ ] Each IP includes `ports` array
 - [ ] Each port includes `services` array
 - [ ] HTTPS services include `certificates` array (if applicable)
 - [ ] Certificates include `tls_versions` array (if applicable)
 - [ ] All relationships properly nested
 ### Test 18: List Scans with Pagination
 **Objective:** Verify scan list API supports pagination.
 **Steps:**
 1. Trigger at least 25 scans
 2. List first page:
   ```bash
   curl -b cookies.txt "http://localhost:5000/api/scans?page=1&per_page=20" | jq '.'
   ```
 3. List second page:
   ```bash
   curl -b cookies.txt "http://localhost:5000/api/scans?page=2&per_page=20" | jq '.'
   ```
 **Expected Result:**
 - [ ] First page returns 20 scans
 - [ ] Response includes `total` (total count)
 - [ ] Response includes `page: 1` and `pages` (total pages)
 - [ ] Response includes `per_page: 20`
 - [ ] Second page returns remaining scans
 - [ ] No duplicate scans between pages
 ### Test 19: Filter Scans by Status
 **Objective:** Verify scan list can be filtered by status.
 **Steps:**
 1. Trigger scans with different statuses (running, completed, failed)
 2. Filter by running:
   ```bash
   curl -b cookies.txt "http://localhost:5000/api/scans?status=running" | jq '.'
   ```
 3. Filter by completed:
   ```bash
   curl -b cookies.txt "http://localhost:5000/api/scans?status=completed" | jq '.'
   ```
 4. Filter by failed:
   ```bash
   curl -b cookies.txt "http://localhost:5000/api/scans?status=failed" | jq '.'
   ```
 **Expected Result:**
 - [ ] Each filter returns only scans with matching status
 - [ ] Total count reflects filtered results
 - [ ] Empty status filter returns all scans
 ### Test 20: Delete Scan via API
 **Objective:** Verify scan deletion via REST API.
 **Steps:**
 1. Trigger a scan and wait for completion
 2. Note the `scan_id`
 3. Delete scan:
   ```bash
   curl -X DELETE -b cookies.txt http://localhost:5000/api/scans/{scan_id} | jq '.'
   ```
 4. Verify deletion:
   ```bash
   curl -b cookies.txt http://localhost:5000/api/scans/{scan_id}
   ```
 5. Check filesystem for scan files
 **Expected Result:**
 - [ ] Delete returns HTTP 200 OK
 - [ ] Delete response: `{"message": "Scan {id} deleted successfully"}`
 - [ ] Subsequent GET returns HTTP 404 Not Found
 - [ ] JSON/HTML/ZIP files deleted from filesystem
 - [ ] Screenshot directory deleted
 - [ ] Database record removed
 ---
 ## Error Handling
 ### Test 21: Invalid Config File
 **Objective:** Verify proper error handling for invalid config files.
 **Steps:**
 1. Trigger scan with non-existent config:
   ```bash
   curl -X POST http://localhost:5000/api/scans \
     -H "Content-Type: application/json" \
     -d '{"config_file":"/app/configs/nonexistent.yaml"}' \
     -b cookies.txt | jq '.'
   ```
 **Expected Result:**
 - [ ] HTTP 400 Bad Request
 - [ ] Response includes `error` and `message` fields
 - [ ] Error message indicates config file invalid/not found
 - [ ] No scan record created in database
 ### Test 22: Missing Required Field
 **Objective:** Verify API validates required fields.
 **Steps:**
 1. Trigger scan without config_file:
   ```bash
   curl -X POST http://localhost:5000/api/scans \
     -H "Content-Type: application/json" \
     -d '{}' \
     -b cookies.txt | jq '.'
   ```
 **Expected Result:**
 - [ ] HTTP 400 Bad Request
 - [ ] Error message indicates missing required field
 ### Test 23: Non-Existent Scan ID
 **Objective:** Verify 404 handling for non-existent scans.
 **Steps:**
 1. Get scan with invalid ID:
   ```bash
   curl -b cookies.txt http://localhost:5000/api/scans/99999 | jq '.'
   ```
 **Expected Result:**
 - [ ] HTTP 404 Not Found
 - [ ] Response: `{"error": "Scan not found", "message": "Scan with ID 99999 does not exist"}`
 ### Test 24: Invalid Pagination Parameters
 **Objective:** Verify pagination parameter validation.
 **Steps:**
 1. Request with invalid page number:
   ```bash
   curl -b cookies.txt "http://localhost:5000/api/scans?page=-1" | jq '.'
   ```
 2. Request with invalid per_page:
   ```bash
   curl -b cookies.txt "http://localhost:5000/api/scans?per_page=1000" | jq '.'
   ```
 **Expected Result:**
 - [ ] HTTP 400 Bad Request for negative page
 - [ ] per_page capped at maximum (100)
 - [ ] Error message indicates validation failure
 ### Test 25: Content Negotiation
 **Objective:** Verify API returns JSON and web UI returns HTML for errors.
 **Steps:**
 1. Access non-existent scan via API:
   ```bash
   curl -H "Accept: application/json" http://localhost:5000/api/scans/99999
   ```
 2. Access non-existent scan via browser:
   - Open http://localhost:5000/scans/99999 in browser
 **Expected Result:**
 - [ ] API request returns JSON error
 - [ ] Browser request returns HTML error page
 - [ ] HTML error page matches dark theme
 - [ ] HTML error page has navigation back to dashboard
 ### Test 26: Error Templates
 **Objective:** Verify custom error templates render correctly.
 **Steps:**
 1. Trigger 400 error (bad request)
 2. Trigger 401 error (unauthorized - access API without login)
 3. Trigger 404 error (non-existent page - http://localhost:5000/nonexistent)
 4. Trigger 405 error (method not allowed - POST to GET-only endpoint)
 **Expected Result:**
 - [ ] Each error displays custom error page
 - [ ] Error pages use dark theme
 - [ ] Error pages include error code and message
 - [ ] Error pages have "Back to Dashboard" link
 - [ ] Navigation bar visible on error pages (if authenticated)
 ### Test 27: Request ID Tracking
 **Objective:** Verify request IDs are generated and included in responses.
 **Steps:**
 1. Make API request and check headers:
   ```bash
   curl -i -b cookies.txt http://localhost:5000/api/scans
   ```
 **Expected Result:**
 - [ ] Response includes `X-Request-ID` header
 - [ ] Request ID is 8-character hex string
 - [ ] Response includes `X-Request-Duration-Ms` header
 - [ ] Duration is positive integer (milliseconds)
 ### Test 28: Logging
 **Objective:** Verify requests are logged with request IDs.
 **Steps:**
 1. Make API request
 2. Check logs:
   ```bash
   docker-compose -f docker-compose-web.yml logs web | tail -20
   ```
 **Expected Result:**
 - [ ] Logs include request ID in brackets `[a1b2c3d4]`
 - [ ] Logs include HTTP method, path, status code
 - [ ] Logs include request duration in milliseconds
 - [ ] Error logs include stack traces (if applicable)
 ---
 ## Performance & Concurrency
 ### Test 29: Concurrent Scans
 **Objective:** Verify multiple scans can run concurrently.
 **Steps:**
 1. Trigger 3 scans simultaneously:
   ```bash
   curl -X POST http://localhost:5000/api/scans \
     -H "Content-Type: application/json" \
     -d '{"config_file":"/app/configs/example-site.yaml"}' \
     -b cookies.txt &
   curl -X POST http://localhost:5000/api/scans \
     -H "Content-Type: application/json" \
     -d '{"config_file":"/app/configs/example-site.yaml"}' \
     -b cookies.txt &
   curl -X POST http://localhost:5000/api/scans \
     -H "Content-Type: application/json" \
     -d '{"config_file":"/app/configs/example-site.yaml"}' \
     -b cookies.txt &
   ```
 2. Check all scans are running:
   ```bash
   curl -b cookies.txt "http://localhost:5000/api/scans?status=running" | jq '.total'
   ```
 **Expected Result:**
 - [ ] All 3 scans start successfully
 - [ ] All 3 scans have status "running"
 - [ ] No database locking errors in logs
 - [ ] All 3 scans eventually complete
 ### Test 30: API Responsiveness During Scan
 **Objective:** Verify web UI and API remain responsive during long-running scans.
 **Steps:**
 1. Trigger a long-running scan (5+ minutes)
 2. While scan is running, perform these actions:
   - Navigate to dashboard
   - List scans via API
   - Get scan status via API
   - Login/logout
 **Expected Result:**
 - [ ] Web UI loads quickly (< 2 seconds)
 - [ ] API requests respond quickly (< 500ms)
 - [ ] No timeouts or slow responses
 - [ ] Background scan does not block HTTP requests
 ---
 ## Data Persistence
 ### Test 31: Database Persistence Across Restarts
 **Objective:** Verify database persists across container restarts.
 **Steps:**
 1. Trigger a scan and wait for completion
 2. Note the scan ID
 3. Restart container:
   ```bash
   docker-compose -f docker-compose-web.yml restart web
   ```
 4. Wait for container to restart (check health)
 5. Query scan via API
 **Expected Result:**
 - [ ] Container restarts successfully
 - [ ] Database file persists
 - [ ] Scan still accessible after restart
 - [ ] All scan data intact
 ### Test 32: File Persistence
 **Objective:** Verify scan files persist in volume.
 **Steps:**
 1. Trigger a scan and wait for completion
 2. Note the file paths (JSON, HTML, ZIP, screenshots)
 3. Verify files exist:
   ```bash
   docker exec sneakyscanner_web ls -lh /app/output/scan_report_*.json
   ```
 4. Restart container
 5. Verify files still exist
 **Expected Result:**
 - [ ] All scan files created (JSON, HTML, ZIP, screenshots)
 - [ ] Files persist after container restart
 - [ ] Files accessible from host (mounted volume)
 - [ ] File sizes are non-zero
 ---
 ## Security
 ### Test 33: Password Hashing
 **Objective:** Verify passwords are hashed with bcrypt.
 **Steps:**
 1. Check password in database:
   ```bash
   docker exec sneakyscanner_web sqlite3 /app/data/sneakyscanner.db \
     "SELECT value FROM settings WHERE key='app_password';"
   ```
 **Expected Result:**
 - [ ] Password is not stored in plaintext
 - [ ] Password starts with `$2b$` (bcrypt hash)
 - [ ] Hash is ~60 characters long
 ### Test 34: Session Cookie Security
 **Objective:** Verify session cookies have secure attributes (in production).
 **Steps:**
 1. Login via browser (with developer tools open)
 2. Inspect cookies (Application > Cookies)
 3. Check session cookie attributes
 **Expected Result:**
 - [ ] Session cookie has `HttpOnly` flag
 - [ ] Session cookie has `Secure` flag (if HTTPS)
 - [ ] Session cookie has `SameSite` attribute
 - [ ] Session cookie expires on logout
 ### Test 35: SQL Injection Protection
 **Objective:** Verify inputs are sanitized against SQL injection.
 **Steps:**
 1. Attempt SQL injection in scan list filter:
   ```bash
   curl -b cookies.txt "http://localhost:5000/api/scans?status='; DROP TABLE scans; --"
   ```
 2. Check database is intact:
   ```bash
   docker exec sneakyscanner_web sqlite3 /app/data/sneakyscanner.db ".tables"
   ```
 **Expected Result:**
 - [ ] No SQL injection occurs
 - [ ] Database tables intact
 - [ ] API returns validation error or empty results
 - [ ] No database errors in logs
 ### Test 36: File Path Traversal Protection
 **Objective:** Verify config file paths are validated against path traversal.
 **Steps:**
 1. Attempt path traversal in config_file:
   ```bash
   curl -X POST http://localhost:5000/api/scans \
     -H "Content-Type: application/json" \
     -d '{"config_file":"../../../etc/passwd"}' \
     -b cookies.txt
   ```
 **Expected Result:**
 - [ ] Request rejected with 400 Bad Request
 - [ ] Error message indicates invalid config file
 - [ ] No file outside /app/configs accessed
 - [ ] Security error logged
 ---
 ## Cleanup
 ### Test 37: Stop Services
 **Objective:** Gracefully stop all services.
 **Steps:**
 1. Stop services:
   ```bash
   docker-compose -f docker-compose-web.yml down
   ```
 2. Verify containers stopped:
   ```bash
   docker-compose -f docker-compose-web.yml ps
   ```
 **Expected Result:**
 - [ ] Services stop gracefully (no kill signals)
 - [ ] All containers stopped
 - [ ] No error messages in logs
 - [ ] Volumes preserved (data, output, logs, configs)
 ### Test 38: Volume Cleanup (Optional)
 **Objective:** Remove all data volumes (only if needed).
 **Steps:**
 1. Stop and remove volumes:
   ```bash
   docker-compose -f docker-compose-web.yml down -v
   ```
 2. Verify volumes removed:
   ```bash
   docker volume ls | grep sneakyscanner
   ```
 **Expected Result:**
 - [ ] All volumes removed
 - [ ] Database deleted
 - [ ] Scan results deleted
 - [ ] Logs deleted
 **Warning:** This is destructive and removes all data!
 ---
 ## Summary
 ### Test Results Summary
 Total Tests: 38
 | Category | Tests | Passed | Failed |
 |----------|-------|--------|--------|
 | Deployment & Startup | 4 | | |
 | Authentication | 5 | | |
 | Scan Management (Web UI) | 5 | | |
 | Scan Management (API) | 6 | | |
 | Error Handling | 8 | | |
 | Performance & Concurrency | 2 | | |
 | Data Persistence | 2 | | |
 | Security | 4 | | |
 | Cleanup | 2 | | |
 | **Total** | **38** | | |
 ### Critical Tests (Must Pass)
 These tests are critical and must pass for Phase 2 to be considered complete:
 - [ ] Test 2: Docker Compose Startup
 - [ ] Test 3: Health Check
 - [ ] Test 6: Login with Correct Password
 - [ ] Test 15: Trigger Scan via API
 - [ ] Test 16: Poll Scan Status
 - [ ] Test 17: Get Scan Details via API
 - [ ] Test 18: List Scans with Pagination
 - [ ] Test 20: Delete Scan via API
 - [ ] Test 29: Concurrent Scans
 - [ ] Test 31: Database Persistence Across Restarts
 ### Known Issues
 Document any known issues or test failures here:
 1. **Issue:** [Description]
   - **Severity:** Critical | High | Medium | Low
   - **Workaround:** [Workaround if available]
   - **Fix:** [Planned fix]
 ---
 ## Notes
 - Tests should be run in order, as later tests may depend on earlier setup
 - Some tests require multiple scans - consider batch creating scans for efficiency
 - Performance tests are environment-dependent (Docker resources, network speed)
 - Security tests are basic - professional security audit recommended for production
 - Manual testing complements automated tests - both are important
 ---
 **Manual Testing Checklist Version:** 1.0
 **Phase:** 2 - Flask Web App Core
 **Last Updated:** 2025-11-14
--- a/docs/ai/PHASE1_COMPLETE.md
+++ b/docs/ai/PHASE1_COMPLETE.md
@@ -1,404 +0,0 @@
 # Phase 1: Foundation - COMPLETE ✓
 **Date Completed:** 2025-11-13
 Phase 1 of the SneakyScanner roadmap has been successfully implemented. This document summarizes what was delivered and how to use the new infrastructure.
 ---
 ## ✓ Deliverables Completed
 ### 1. Database Schema & Models
 - **SQLAlchemy models** for all 11 database tables (`web/models.py`)
  - Core tables: `Scan`, `ScanSite`, `ScanIP`, `ScanPort`, `ScanService`, `ScanCertificate`, `ScanTLSVersion`
  - Scheduling tables: `Schedule`, `Alert`, `AlertRule`
  - Configuration: `Setting`
 - **Alembic migrations** system configured (`migrations/`)
 - **Initial migration** created (`migrations/versions/001_initial_schema.py`)
 ### 2. Settings System with Encryption
 - **SettingsManager** class with CRUD operations (`web/utils/settings.py`)
 - **Automatic encryption** for sensitive values (SMTP passwords, API tokens)
 - **PasswordManager** for bcrypt password hashing
 - **Default settings initialization** for SMTP, authentication, retention policies
 ### 3. Flask Application Structure
 - **Flask app factory** pattern implemented (`web/app.py`)
 - **API blueprints** for all major endpoints:
  - `/api/scans` - Scan management (stub for Phase 2)
  - `/api/schedules` - Schedule management (stub for Phase 3)
  - `/api/alerts` - Alert management (stub for Phase 4)
  - `/api/settings` - Settings API (functional in Phase 1!)
 - **Error handlers** for common HTTP status codes
 - **CORS support** for API access
 - **Logging** to file and console
 - **Database session management** with scoped sessions
 ### 4. Database Initialization
 - **init_db.py** script for easy database setup
 - Supports both Alembic migrations and direct table creation
 - Password setting during initialization
 - Database verification and settings display
 ### 5. Docker Support
 - **Updated Dockerfile** with Flask dependencies
 - **docker-compose-web.yml** for running the web application
 - Separate service definition for database initialization
 - Volume mounts for persistence (database, output, logs)
 ### 6. Validation & Testing
 - **validate_phase1.py** script to verify all deliverables
 - Validates directory structure, files, Python syntax, models, and API endpoints
 - All checks passing ✓
 ---
 ## 📁 New Project Structure
 ```
 SneakyScanner/
 ├── web/                          # Flask web application (NEW)
 │   ├── __init__.py
 │   ├── app.py                    # Flask app factory
 │   ├── models.py                 # SQLAlchemy models (11 tables)
 │   ├── api/                      # API blueprints
 │   │   ├── __init__.py
 │   │   ├── scans.py              # Scans API
 │   │   ├── schedules.py          # Schedules API
 │   │   ├── alerts.py             # Alerts API
 │   │   └── settings.py           # Settings API (functional!)
 │   ├── templates/                # Jinja2 templates (for Phase 3)
 │   ├── static/                   # CSS, JS, images (for Phase 3)
 │   │   ├── css/
 │   │   ├── js/
 │   │   └── images/
 │   └── utils/                    # Utility modules
 │       ├── __init__.py
 │       └── settings.py           # Settings manager with encryption
 ├── migrations/                   # Alembic migrations (NEW)
 │   ├── env.py                    # Alembic environment
 │   ├── script.py.mako            # Migration template
 │   └── versions/
 │       └── 001_initial_schema.py # Initial database migration
 ├── alembic.ini                   # Alembic configuration (NEW)
 ├── init_db.py                    # Database initialization script (NEW)
 ├── validate_phase1.py            # Phase 1 validation script (NEW)
 ├── requirements-web.txt          # Flask dependencies (NEW)
 ├── docker-compose-web.yml        # Docker Compose for web app (NEW)
 ├── Dockerfile                    # Updated with Flask support
 ├── src/                          # Existing scanner code (unchanged)
 ├── templates/                    # Existing report templates (unchanged)
 ├── configs/                      # Existing YAML configs (unchanged)
 └── output/                       # Existing scan outputs (unchanged)
 ```
 ---
 ## 🚀 Getting Started
 ### Option 1: Local Development (without Docker)
 #### 1. Install Dependencies
 ```bash
 # Install Flask and web dependencies
 pip install -r requirements-web.txt
 ```
 #### 2. Initialize Database
 ```bash
 # Create database and set password
 python3 init_db.py --password YOUR_SECURE_PASSWORD
 # Verify database
 python3 init_db.py --verify-only
 ```
 #### 3. Run Flask Application
 ```bash
 # Run development server
 python3 -m web.app
 # Application will be available at http://localhost:5000
 ```
 #### 4. Test API Endpoints
 ```bash
 # Health check
 curl http://localhost:5000/api/settings/health
 # Get all settings (sanitized)
 curl http://localhost:5000/api/settings
 # Get specific setting
 curl http://localhost:5000/api/settings/smtp_server
 # Update a setting
 curl -X PUT http://localhost:5000/api/settings/smtp_server \
  -H "Content-Type: application/json" \
  -d '{"value": "smtp.gmail.com"}'
 # Set application password
 curl -X POST http://localhost:5000/api/settings/password \
  -H "Content-Type: application/json" \
  -d '{"password": "newsecurepassword"}'
 ```
 ---
 ### Option 2: Docker Deployment
 #### 1. Build Docker Image
 ```bash
 docker-compose -f docker-compose-web.yml build
 ```
 #### 2. Initialize Database (one-time)
 ```bash
 # Create data directory
 mkdir -p data
 # Initialize database
 docker-compose -f docker-compose-web.yml run --rm init-db --password YOUR_SECURE_PASSWORD
 ```
 #### 3. Run Web Application
 ```bash
 # Start Flask web server
 docker-compose -f docker-compose-web.yml up -d web
 # View logs
 docker-compose -f docker-compose-web.yml logs -f web
 ```
 #### 4. Access Application
 - Web API: http://localhost:5000
 - Health checks:
  - http://localhost:5000/api/scans/health
  - http://localhost:5000/api/schedules/health
  - http://localhost:5000/api/alerts/health
  - http://localhost:5000/api/settings/health
 ---
 ## 🔐 Security Features
 ### Encryption
 - **Fernet encryption** for sensitive settings (SMTP passwords, API tokens)
 - Encryption key auto-generated and stored in settings table
 - Can be overridden via `SNEAKYSCANNER_ENCRYPTION_KEY` environment variable
 ### Password Hashing
 - **Bcrypt** for application password hashing (work factor 12)
 - Password stored as irreversible hash in settings table
 - Minimum 8 characters enforced
 ### Session Management
 - Flask sessions with configurable `SECRET_KEY`
 - Set via environment variable or config
 ---
 ## 📊 Database Schema
 ### Core Tables
 - **scans** - Scan metadata and status
 - **scan_sites** - Site groupings
 - **scan_ips** - IP addresses scanned
 - **scan_ports** - Discovered ports
 - **scan_services** - Service detection results
 - **scan_certificates** - SSL/TLS certificates
 - **scan_tls_versions** - TLS version support
 ### Scheduling & Alerts
 - **schedules** - Cron-like scan schedules
 - **alerts** - Alert history
 - **alert_rules** - Alert rule definitions
 ### Configuration
 - **settings** - Application settings (key-value store)
 All tables include proper foreign keys, indexes, and cascade delete rules.
 ---
 ## 🧪 Validation
 Run the Phase 1 validation script to verify everything is in place:
 ```bash
 python3 validate_phase1.py
 ```
 Expected output:
 ```
 ✓ All Phase 1 validation checks passed!
 ```
 ---
 ## 🔧 Environment Variables
 Configure the Flask app via environment variables:
 ```bash
 # Flask configuration
 export FLASK_ENV=development
 export FLASK_DEBUG=true
 export FLASK_HOST=0.0.0.0
 export FLASK_PORT=5000
 # Database
 export DATABASE_URL=sqlite:///./sneakyscanner.db
 # Security
 export SECRET_KEY=your-secret-key-here
 export SNEAKYSCANNER_ENCRYPTION_KEY=your-encryption-key-here
 # CORS (comma-separated origins)
 export CORS_ORIGINS=http://localhost:3000,https://your-domain.com
 # Logging
 export LOG_LEVEL=INFO
 ```
 Or use a `.env` file (supported via `python-dotenv`).
 ---
 ## 📝 API Endpoints Summary
 ### Settings API (Functional in Phase 1)
 | Method | Endpoint | Description | Status |
 |--------|----------|-------------|--------|
 | GET | `/api/settings` | Get all settings (sanitized) | ✓ Working |
 | PUT | `/api/settings` | Update multiple settings | ✓ Working |
 | GET | `/api/settings/{key}` | Get specific setting | ✓ Working |
 | PUT | `/api/settings/{key}` | Update specific setting | ✓ Working |
 | DELETE | `/api/settings/{key}` | Delete setting | ✓ Working |
 | POST | `/api/settings/password` | Set app password | ✓ Working |
 | GET | `/api/settings/health` | Health check | ✓ Working |
 ### Scans API (Stubs for Phase 2)
 | Method | Endpoint | Description | Status |
 |--------|----------|-------------|--------|
 | GET | `/api/scans` | List scans | Phase 2 |
 | GET | `/api/scans/{id}` | Get scan details | Phase 2 |
 | POST | `/api/scans` | Trigger scan | Phase 2 |
 | DELETE | `/api/scans/{id}` | Delete scan | Phase 2 |
 | GET | `/api/scans/{id}/status` | Get scan status | Phase 2 |
 | GET | `/api/scans/health` | Health check | ✓ Working |
 ### Schedules API (Stubs for Phase 3)
 | Method | Endpoint | Description | Status |
 |--------|----------|-------------|--------|
 | GET | `/api/schedules` | List schedules | Phase 3 |
 | POST | `/api/schedules` | Create schedule | Phase 3 |
 | PUT | `/api/schedules/{id}` | Update schedule | Phase 3 |
 | DELETE | `/api/schedules/{id}` | Delete schedule | Phase 3 |
 | POST | `/api/schedules/{id}/trigger` | Trigger schedule | Phase 3 |
 | GET | `/api/schedules/health` | Health check | ✓ Working |
 ### Alerts API (Stubs for Phase 4)
 | Method | Endpoint | Description | Status |
 |--------|----------|-------------|--------|
 | GET | `/api/alerts` | List alerts | Phase 4 |
 | GET | `/api/alerts/rules` | List alert rules | Phase 4 |
 | POST | `/api/alerts/rules` | Create alert rule | Phase 4 |
 | PUT | `/api/alerts/rules/{id}` | Update alert rule | Phase 4 |
 | DELETE | `/api/alerts/rules/{id}` | Delete alert rule | Phase 4 |
 | GET | `/api/alerts/health` | Health check | ✓ Working |
 ---
 ## ✅ Testing Checklist
 - [x] Database creates successfully
 - [x] Settings can be stored/retrieved
 - [x] Encryption works for sensitive values
 - [x] Password hashing works
 - [x] Flask app starts without errors
 - [x] API blueprints load correctly
 - [x] Health check endpoints respond
 - [x] All Python files have valid syntax
 - [x] All models defined correctly
 - [x] Database migrations work
 ---
 ## 🎯 Next Steps: Phase 2
 Phase 2 will implement:
 1. **REST API for scans** - Trigger scans, list history, get results
 2. **Background job queue** - APScheduler for async scan execution
 3. **Authentication** - Flask-Login for session management
 4. **Scanner integration** - Save scan results to database
 5. **Docker Compose deployment** - Production-ready setup
 Estimated timeline: 2 weeks (as per roadmap)
 ---
 ## 📚 References
 ### Key Files
 - `web/models.py` - Database models (lines 1-400+)
 - `web/app.py` - Flask app factory (lines 1-250+)
 - `web/utils/settings.py` - Settings manager (lines 1-300+)
 - `init_db.py` - Database initialization (lines 1-200+)
 - `migrations/versions/001_initial_schema.py` - Initial migration (lines 1-250+)
 ### Documentation
 - [Flask Documentation](https://flask.palletsprojects.com/)
 - [SQLAlchemy ORM](https://docs.sqlalchemy.org/)
 - [Alembic Migrations](https://alembic.sqlalchemy.org/)
 - [Cryptography Library](https://cryptography.io/)
 - [Bcrypt](https://github.com/pyca/bcrypt)
 ---
 ## 🐛 Troubleshooting
 ### Database Issues
 ```bash
 # Reset database
 rm sneakyscanner.db
 python3 init_db.py --password newpassword
 # Check database
 sqlite3 sneakyscanner.db ".schema"
 ```
 ### Flask Won't Start
 ```bash
 # Check dependencies installed
 pip list | grep -i flask
 # Check syntax errors
 python3 validate_phase1.py
 # Run with debug output
 FLASK_DEBUG=true python3 -m web.app
 ```
 ### Encryption Errors
 ```bash
 # Generate new encryption key
 python3 -c "from cryptography.fernet import Fernet; print(Fernet.generate_key().decode())"
 # Set in environment
 export SNEAKYSCANNER_ENCRYPTION_KEY="your-key-here"
 ```
 ---
 **Phase 1 Status:** ✅ COMPLETE
 All deliverables implemented, tested, and validated. Ready to proceed with Phase 2.
--- a/docs/ai/PHASE2.md
+++ b/docs/ai/PHASE2.md
--- a/docs/ai/PHASE2_COMPLETE.md
+++ b/docs/ai/PHASE2_COMPLETE.md
@@ -1,872 +0,0 @@
 # Phase 2: Flask Web App Core - COMPLETE ✓
 **Date Completed:** 2025-11-14
 **Duration:** 14 days (2 weeks)
 **Lines of Code Added:** ~4,500+ lines across backend, frontend, tests, and documentation
 Phase 2 of the SneakyScanner roadmap has been successfully implemented. This document summarizes what was delivered, how to use the new features, and lessons learned.
 ---
 ## ✓ Success Criteria Met
 All success criteria from [PHASE2.md](PHASE2.md) have been achieved:
 ### API Functionality ✅
 - ✅ `POST /api/scans` triggers background scan and returns scan_id
 - ✅ `GET /api/scans` lists scans with pagination (page, per_page params)
 - ✅ `GET /api/scans/<id>` returns full scan details from database
 - ✅ `DELETE /api/scans/<id>` removes scan records and files
 - ✅ `GET /api/scans/<id>/status` shows current scan progress
 ### Database Integration ✅
 - ✅ Scan results automatically saved to database after completion
 - ✅ All relationships populated correctly (sites, IPs, ports, services, certs, TLS)
 - ✅ Database queries work efficiently (indexes in place)
 - ✅ Cascade deletion works for related records
 ### Background Jobs ✅
 - ✅ Scans execute in background (don't block HTTP requests)
 - ✅ Multiple scans can run concurrently (configurable: 3 concurrent jobs)
 - ✅ Scan status updates correctly (running → completed/failed)
 - ✅ Failed scans marked appropriately with error message
 ### Authentication ✅
 - ✅ Login page renders and accepts password
 - ✅ Successful login creates session and redirects to dashboard
 - ✅ Invalid password shows error message
 - ✅ Logout destroys session
 - ✅ Protected routes require authentication
 - ✅ API endpoints require authentication
 ### User Interface ✅
 - ✅ Dashboard displays welcome message and stats
 - ✅ Dashboard shows recent scans in table
 - ✅ Login page has clean design
 - ✅ Templates use Bootstrap 5 dark theme (matching report style)
 - ✅ Navigation works between pages
 - ✅ Error pages for 400, 401, 403, 404, 405, 500
 ### File Management ✅
 - ✅ JSON, HTML, ZIP files still generated (backward compatible)
 - ✅ Screenshot directory created with images
 - ✅ Files referenced correctly in database
 - ✅ Delete scan removes all associated files
 ### Deployment ✅
 - ✅ Docker Compose starts web app successfully
 - ✅ Database persists across container restarts
 - ✅ Scan files persist in mounted volume
 - ✅ Healthcheck endpoint responds correctly (`/api/settings/health`)
 - ✅ Logs written to volume with rotation (10MB max, 10 backups)
 ### Testing ✅
 - ✅ 100 test functions across 6 test files
 - ✅ 1,825 lines of test code
 - ✅ All tests passing (service layer, API, auth, error handling, background jobs)
 - ✅ Comprehensive test coverage
 ### Documentation ✅
 - ✅ API endpoints documented with examples (API_REFERENCE.md)
 - ✅ README.md updated with Phase 2 features
 - ✅ PHASE2_COMPLETE.md created (this document)
 - ✅ ROADMAP.md updated
 - ✅ DEPLOYMENT.md comprehensive deployment guide
 ---
 ## 📦 Deliverables by Step
 ### Step 1: Database & Service Layer ✅
 **Completed:** Day 2
 **Files Created:**
 - `web/services/__init__.py`
 - `web/services/scan_service.py` (545 lines) - Core business logic for scan CRUD operations
 - `web/utils/pagination.py` (153 lines) - Pagination utility with metadata
 - `web/utils/validators.py` (245 lines) - Input validation functions
 - `migrations/versions/002_add_scan_indexes.py` - Database indexes for performance
 - `tests/conftest.py` (142 lines) - Pytest fixtures and configuration
 - `tests/test_scan_service.py` (374 lines) - 15 unit tests
 **Key Features:**
 - ScanService with full CRUD operations (`trigger_scan`, `get_scan`, `list_scans`, `delete_scan`, `get_scan_status`)
 - Complex JSON-to-database mapping (`_map_report_to_models`)
 - Validation for config files, scan IDs, ports, IP addresses
 - Pagination helper with metadata (total, pages, current page)
 - All 15 tests passing
 ### Step 2: Scan API Endpoints ✅
 **Completed:** Day 4
 **Files Modified:**
 - `web/api/scans.py` (262 lines) - All 5 endpoints fully implemented
 **Files Created:**
 - `tests/test_scan_api.py` (301 lines) - 24 integration tests
 **Key Features:**
 - All endpoints with comprehensive error handling
 - Input validation through validators
 - Proper HTTP status codes (200, 201, 400, 404, 500)
 - Structured logging with request details
 - Pagination support with query parameters
 - Status filtering (`?status=running|completed|failed`)
 - All 24 tests passing
 ### Step 3: Background Job Queue ✅
 **Completed:** Day 6
 **Files Created:**
 - `web/jobs/__init__.py`
 - `web/jobs/scan_job.py` (130 lines) - Background scan execution
 - `web/services/scheduler_service.py` (220 lines) - APScheduler integration
 - `migrations/versions/003_add_scan_timing_fields.py` - Timing fields (started_at, completed_at, error_message)
 - `tests/test_background_jobs.py` (232 lines) - 13 unit tests
 **Files Modified:**
 - `web/app.py` - Scheduler initialization
 - `web/models.py` - Added timing fields to Scan model
 - `web/services/scan_service.py` - Updated for scheduler integration
 - `web/api/scans.py` - Pass scheduler to trigger_scan
 **Key Features:**
 - BackgroundScheduler with ThreadPoolExecutor (max 3 workers)
 - Isolated database sessions per thread
 - Status tracking through lifecycle (created → running → completed/failed)
 - Error message capture and storage
 - Graceful shutdown handling
 - All 13 tests passing
 ### Step 4: Authentication System ✅
 **Completed:** Day 8
 **Files Created:**
 - `web/auth/__init__.py`
 - `web/auth/routes.py` (85 lines) - Login/logout routes
 - `web/auth/decorators.py` (62 lines) - @login_required and @api_auth_required
 - `web/auth/models.py` (48 lines) - User class for Flask-Login
 - `web/templates/login.html` (95 lines) - Login page with dark theme
 - `tests/test_authentication.py` (279 lines) - 30+ authentication tests
 **Files Modified:**
 - `web/app.py` - Flask-Login integration, user_loader callback
 - All API endpoints - Protected with @api_auth_required
 - All web routes - Protected with @login_required
 **Key Features:**
 - Flask-Login session management
 - Single-user authentication with bcrypt password hashing
 - Session-based auth for both UI and API
 - Login/logout functionality
 - Password setup on first run
 - All 30+ tests passing
 ### Step 5: Basic UI Templates ✅
 **Completed:** Day 10
 **Files Created:**
 - `web/templates/base.html` (120 lines) - Base layout with Bootstrap 5 dark theme
 - `web/templates/dashboard.html` (180 lines) - Dashboard with stats and recent scans
 - `web/templates/scans.html` (240 lines) - Scan list with pagination
 - `web/templates/scan_detail.html` (320 lines) - Detailed scan results view
 - `web/routes/__init__.py`
 - `web/routes/main.py` (150 lines) - Web UI routes
 - `web/static/css/custom.css` (85 lines) - Custom dark theme styles
 - `web/static/js/dashboard.js` (120 lines) - AJAX and auto-refresh
 **Key Features:**
 - Consistent dark theme matching HTML reports (slate/grey color scheme)
 - Navigation bar (Dashboard, Scans, Settings, Logout)
 - Flash message display
 - AJAX-powered dynamic data loading
 - Auto-refresh for running scans (5-second polling)
 - Responsive design with Bootstrap 5
 - Pagination controls
 ### Step 6: Docker & Deployment ✅
 **Completed:** Day 11
 **Files Created:**
 - `.env.example` (57 lines) - Comprehensive environment template
 - `docs/ai/DEPLOYMENT.md` (650+ lines) - Complete deployment guide
 **Files Modified:**
 - `docker-compose-web.yml` - Scheduler config, healthcheck, privileged mode, host networking
 **Key Features:**
 - Healthcheck endpoint monitoring (30s interval, 10s timeout)
 - Privileged mode for scanner raw socket access
 - Host networking for unrestricted network scanning
 - Environment variable configuration (SECRET_KEY, ENCRYPTION_KEY, scheduler settings)
 - Volume mounts for data persistence (data, output, logs, configs)
 - Production defaults (FLASK_ENV=production)
 - Comprehensive deployment documentation
 ### Step 7: Error Handling & Logging ✅
 **Completed:** Day 12
 **Files Created:**
 - `web/templates/errors/400.html` (70 lines)
 - `web/templates/errors/401.html` (70 lines)
 - `web/templates/errors/403.html` (70 lines)
 - `web/templates/errors/404.html` (70 lines)
 - `web/templates/errors/405.html` (70 lines)
 - `web/templates/errors/500.html` (90 lines)
 - `tests/test_error_handling.py` (320 lines) - Comprehensive error handling tests
 **Files Modified:**
 - `web/app.py` - Enhanced logging, error handlers, request handlers
 **Key Features:**
 - RotatingFileHandler (10MB per file, 10 backups)
 - Separate error log file for ERROR level messages
 - RequestIDLogFilter for request context injection
 - Request timing with millisecond precision
 - Content negotiation (JSON for API, HTML for web)
 - SQLite WAL mode for better concurrency
 - Security headers (X-Content-Type-Options, X-Frame-Options, X-XSS-Protection)
 - Request IDs in logs and headers (X-Request-ID, X-Request-Duration-Ms)
 ### Step 8: Testing & Documentation ✅
 **Completed:** Day 14
 **Files Created:**
 - `docs/ai/API_REFERENCE.md` (650+ lines) - Complete API documentation
 - `docs/ai/PHASE2_COMPLETE.md` (this document)
 - `docs/ai/MANUAL_TESTING.md` - Manual testing checklist
 **Files Modified:**
 - `README.md` - Comprehensive update with Phase 2 features
 - `docs/ai/ROADMAP.md` - Updated with Phase 2 completion
 **Documentation Deliverables:**
 - API reference with request/response examples
 - Updated README with web application features
 - Phase 2 completion summary
 - Manual testing checklist
 - Updated roadmap
 ---
 ## 📊 Statistics
 ### Code Metrics
 | Category | Files | Lines of Code |
 |----------|-------|---------------|
 | Backend Services | 3 | 965 |
 | API Endpoints | 1 (modified) | 262 |
 | Background Jobs | 2 | 350 |
 | Authentication | 3 | 195 |
 | Web UI Templates | 11 | 1,440 |
 | Utilities | 2 | 398 |
 | Database Migrations | 2 | 76 |
 | Tests | 6 | 1,825 |
 | Documentation | 4 | 2,000+ |
 | **Total** | **34** | **~7,500+** |
 ### Test Coverage
 - **Test Files:** 6
 - **Test Functions:** 100
 - **Lines of Test Code:** 1,825
 - **Coverage Areas:**
  - Service layer (ScanService, SchedulerService)
  - API endpoints (all 5 scan endpoints)
  - Authentication (login, logout, decorators)
  - Background jobs (scheduler, job execution, timing)
  - Error handling (all HTTP status codes, content negotiation)
  - Pagination and validation
 ### Database Schema
 - **Tables:** 11 (no changes from Phase 1)
 - **Migrations:** 3 total
  - `001_initial_schema.py` (Phase 1)
  - `002_add_scan_indexes.py` (Step 1)
  - `003_add_scan_timing_fields.py` (Step 3)
 - **Indexes:** Status index for efficient filtering
 - **Mode:** SQLite WAL for better concurrency
 ---
 ## 🎯 Key Accomplishments
 ### 1. Complete REST API for Scan Management
 All CRUD operations implemented with comprehensive error handling:
 ```bash
 # Trigger scan
 POST /api/scans
 {"config_file": "/app/configs/example.yaml"}
 → {"scan_id": 42, "status": "running"}
 # List scans (paginated)
 GET /api/scans?page=1&per_page=20&status=completed
 → {"scans": [...], "total": 42, "page": 1, "pages": 3}
 # Get scan details
 GET /api/scans/42
 → {full scan with all relationships}
 # Poll status
 GET /api/scans/42/status
 → {"status": "running", "started_at": "...", "completed_at": null}
 # Delete scan
 DELETE /api/scans/42
 → {"message": "Scan 42 deleted successfully"}
 ```
 ### 2. Asynchronous Scan Execution
 Scans run in background threads without blocking HTTP requests:
 - APScheduler BackgroundScheduler with ThreadPoolExecutor
 - Up to 3 concurrent scans (configurable)
 - Isolated database sessions per thread
 - Status tracking: `running` → `completed`/`failed`
 - Error capture and storage
 **Result:** Web UI remains responsive during long-running scans (2-10 minutes)
 ### 3. Complete Database Integration
 Complex JSON scan reports mapped to normalized relational schema:
 - **Hierarchy:** Scan → Sites → IPs → Ports → Services → Certificates → TLS Versions
 - **Relationships:** Proper foreign keys and cascade deletion
 - **Efficient Queries:** Indexes on status, timestamp
 - **Concurrency:** SQLite WAL mode for multiple readers/writers
 **Result:** All scan data queryable in database for future trend analysis
 ### 4. Secure Authentication System
 Single-user authentication with Flask-Login:
 - Session-based auth for both UI and API
 - Bcrypt password hashing (cost factor 12)
 - Protected routes with decorators
 - Login/logout functionality
 - Password setup on first run
 **Result:** Secure access control for all features
 ### 5. Production-Ready Deployment
 Complete Docker deployment with persistent data:
 - Docker Compose configuration with healthcheck
 - Privileged mode for scanner operations
 - Environment-based configuration
 - Volume mounts for data persistence
 - Comprehensive deployment documentation
 **Result:** Easy deployment with `docker-compose up`
 ### 6. Comprehensive Error Handling
 Robust error handling and logging:
 - Content negotiation (JSON for API, HTML for web)
 - Custom error templates (400, 401, 403, 404, 405, 500)
 - Structured logging with request IDs
 - Log rotation (10MB files, 10 backups)
 - Request timing and duration tracking
 **Result:** Production-ready error handling and debugging
 ### 7. Extensive Test Coverage
 Comprehensive test suite:
 - 100 test functions across 6 test files
 - 1,825 lines of test code
 - All major components tested
 - Integration tests for complete workflows
 - All tests passing
 **Result:** High confidence in code quality and reliability
 ---
 ## 🔧 Technical Implementation Details
 ### Service Layer Architecture
 **ScanService** (`web/services/scan_service.py`) - 545 lines:
 - `trigger_scan(config_file, triggered_by, schedule_id)` - Create scan record and queue job
 - `get_scan(scan_id)` - Retrieve complete scan with all relationships (eager loading)
 - `list_scans(page, per_page, status_filter)` - Paginated list with filtering
 - `delete_scan(scan_id)` - Remove DB records and files (JSON, HTML, ZIP, screenshots)
 - `get_scan_status(scan_id)` - Poll scan status for real-time updates
 - `_save_scan_to_db(report, scan_id, status)` - Persist scan results
 - `_map_report_to_models(report, scan_obj)` - Complex JSON→DB mapping
 **SchedulerService** (`web/services/scheduler_service.py`) - 220 lines:
 - `init_scheduler(app)` - Initialize APScheduler
 - `queue_scan(config_file, scan_id, db_url)` - Queue immediate scan execution
 - `add_scheduled_scan(schedule)` - Placeholder for Phase 3 scheduled scans
 - `remove_scheduled_scan(schedule_id)` - Remove scheduled jobs
 - `list_jobs()` - List all scheduler jobs
 - `shutdown()` - Graceful shutdown
 ### Background Job Execution
 **Scan Job** (`web/jobs/scan_job.py`) - 130 lines:
 ```python
 def execute_scan(config_file, scan_id, db_url):
    """Execute scan in background thread."""
    # 1. Create isolated DB session
    engine = create_engine(db_url)
    Session = sessionmaker(bind=engine)
    session = Session()
    try:
        # 2. Update status to running
        scan = session.query(Scan).get(scan_id)
        scan.status = 'running'
        scan.started_at = datetime.utcnow()
        session.commit()
        # 3. Run scanner
        scanner = SneakyScanner(config_file)
        report, timestamp = scanner.scan()
        scanner.generate_outputs(report, timestamp)
        # 4. Save to database
        scan_service = ScanService(session)
        scan_service._save_scan_to_db(report, scan_id, status='completed')
        # 5. Update timing
        scan.completed_at = datetime.utcnow()
        session.commit()
    except Exception as e:
        # 6. Mark as failed
        scan.status = 'failed'
        scan.error_message = str(e)
        scan.completed_at = datetime.utcnow()
        session.commit()
        logger.error(f"Scan {scan_id} failed: {e}")
    finally:
        session.close()
 ```
 ### Database Mapping Strategy
 Complex JSON structure mapped to normalized schema in specific order:
 1. **Scan** - Top-level metadata
 2. **Sites** - Logical grouping from config
 3. **IPs** - IP addresses per site
 4. **Ports** - Open ports per IP
 5. **Services** - Service detection per port
 6. **Certificates** - SSL/TLS certs per HTTPS service
 7. **TLS Versions** - TLS version support per certificate
 **Key Technique:** Use `session.flush()` after each level to generate IDs for foreign keys
 ### Authentication Flow
 ```
 ┌──────────────────────────────────────┐
 │ 1. User visits /dashboard            │
 │    (not authenticated)                │
 └───────────┬──────────────────────────┘
            │
            ▼
 ┌──────────────────────────────────────┐
 │ 2. @login_required redirects to      │
 │    /login                             │
 └───────────┬──────────────────────────┘
            │
            ▼
 ┌──────────────────────────────────────┐
 │ 3. User enters password               │
 │    POST /auth/login                   │
 └───────────┬──────────────────────────┘
            │
            ▼
 ┌──────────────────────────────────────┐
 │ 4. Verify password (bcrypt)           │
 │    - Load password from settings      │
 │    - Check with bcrypt.checkpw()      │
 └───────────┬──────────────────────────┘
            │
            ▼
 ┌──────────────────────────────────────┐
 │ 5. Create Flask-Login session         │
 │    login_user(user)                   │
 └───────────┬──────────────────────────┘
            │
            ▼
 ┌──────────────────────────────────────┐
 │ 6. Redirect to /dashboard             │
 │    (authenticated, can access)        │
 └──────────────────────────────────────┘
 ```
 ### Error Handling Architecture
 **Content Negotiation:**
 ```python
 def render_error(status_code, error_type, message):
    """Render error as JSON or HTML based on request."""
    # Check if JSON response expected
    if request.path.startswith('/api/') or \
       request.accept_mimetypes.best == 'application/json':
        return jsonify({
            'error': error_type,
            'message': message
        }), status_code
    # Otherwise return HTML error page
    return render_template(f'errors/{status_code}.html',
                          error=error_type,
                          message=message), status_code
 ```
 **Request ID Tracking:**
 ```python
@app.before_request
 def before_request():
    """Add request ID and start timing."""
    request.id = uuid.uuid4().hex[:8]
    request.start_time = time.time()
@app.after_request
 def after_request(response):
    """Add timing and request ID headers."""
    duration_ms = int((time.time() - request.start_time) * 1000)
    response.headers['X-Request-ID'] = request.id
    response.headers['X-Request-Duration-Ms'] = str(duration_ms)
    return response
 ```
 ---
 ## 📚 API Endpoints Reference
 See [API_REFERENCE.md](API_REFERENCE.md) for complete documentation.
 ### Scans
 | Method | Endpoint | Description |
 |--------|----------|-------------|
 | POST | `/api/scans` | Trigger new scan |
 | GET | `/api/scans` | List scans (paginated, filterable) |
 | GET | `/api/scans/{id}` | Get scan details |
 | GET | `/api/scans/{id}/status` | Get scan status |
 | DELETE | `/api/scans/{id}` | Delete scan and files |
 ### Authentication
 | Method | Endpoint | Description |
 |--------|----------|-------------|
 | POST | `/auth/login` | Login and create session |
 | GET | `/auth/logout` | Logout and destroy session |
 ### Settings
 | Method | Endpoint | Description |
 |--------|----------|-------------|
 | GET | `/api/settings` | Get all settings |
 | PUT | `/api/settings/{key}` | Update setting |
 | GET | `/api/settings/health` | Health check |
 ### Web UI
 | Method | Route | Description |
 |--------|-------|-------------|
 | GET | `/` | Redirect to dashboard |
 | GET | `/login` | Login page |
 | GET | `/dashboard` | Dashboard with stats |
 | GET | `/scans` | Browse scan history |
 | GET | `/scans/<id>` | View scan details |
 ---
 ## 🚀 Getting Started
 ### Quick Start (Docker)
 1. **Clone repository:**
 ```bash
 git clone https://github.com/yourusername/sneakyscanner.git
 cd sneakyscanner
 ```
 2. **Configure environment:**
 ```bash
 cp .env.example .env
 # Edit .env and set SECRET_KEY and SNEAKYSCANNER_ENCRYPTION_KEY
 ```
 3. **Start web application:**
 ```bash
 docker-compose -f docker-compose-web.yml up -d
 ```
 4. **Access web interface:**
 - Open http://localhost:5000
 - Default password: `admin` (change immediately!)
 5. **Trigger first scan:**
 - Click "Run Scan Now" on dashboard
 - Or use API:
 ```bash
 curl -X POST http://localhost:5000/api/scans \
  -H "Content-Type: application/json" \
  -d '{"config_file":"/app/configs/example-site.yaml"}' \
  -b cookies.txt
 ```
 See [DEPLOYMENT.md](DEPLOYMENT.md) for detailed setup instructions.
 ### API Usage Example
 ```bash
 #!/bin/bash
 # 1. Login
 curl -X POST http://localhost:5000/auth/login \
  -H "Content-Type: application/json" \
  -d '{"password":"yourpassword"}' \
  -c cookies.txt
 # 2. Trigger scan
 SCAN_ID=$(curl -s -X POST http://localhost:5000/api/scans \
  -H "Content-Type: application/json" \
  -d '{"config_file":"/app/configs/production.yaml"}' \
  -b cookies.txt | jq -r '.scan_id')
 echo "Scan ID: $SCAN_ID"
 # 3. Poll status
 while true; do
  STATUS=$(curl -s -X GET http://localhost:5000/api/scans/$SCAN_ID/status \
    -b cookies.txt | jq -r '.status')
  echo "Status: $STATUS"
  if [ "$STATUS" == "completed" ] || [ "$STATUS" == "failed" ]; then
    break
  fi
  sleep 5
 done
 # 4. Get results
 curl -X GET http://localhost:5000/api/scans/$SCAN_ID \
  -b cookies.txt | jq '.'
 ```
 ---
 ## 🧪 Testing
 ### Run All Tests
 **In Docker:**
 ```bash
 docker-compose -f docker-compose-web.yml run --rm web pytest tests/ -v
 ```
 **Locally:**
 ```bash
 pip install -r requirements-web.txt
 pytest tests/ -v
 ```
 ### Test Breakdown
 | Test File | Tests | Description |
 |-----------|-------|-------------|
 | `test_scan_service.py` | 15 | Service layer CRUD operations |
 | `test_scan_api.py` | 24 | API endpoints integration tests |
 | `test_authentication.py` | 30+ | Login, logout, decorators |
 | `test_background_jobs.py` | 13 | Scheduler and job execution |
 | `test_error_handling.py` | 18+ | Error handlers, logging, headers |
 | **Total** | **100** | **All passing ✓** |
 ### Manual Testing
 See [MANUAL_TESTING.md](MANUAL_TESTING.md) for comprehensive manual testing checklist.
 **Quick Manual Tests:**
 1. Login with correct password → succeeds
 2. Login with incorrect password → fails
 3. Trigger scan via UI → runs in background
 4. View scan list → shows pagination
 5. View scan details → displays all data
 6. Delete scan → removes files and DB records
 7. Logout → destroys session
 ---
 ## 🎓 Lessons Learned
 ### What Went Well
 1. **Service Layer Architecture** - Clean separation between API endpoints and business logic made testing much easier
 2. **Background Job Integration** - APScheduler worked perfectly for async scan execution without needing Redis/Celery
 3. **Database Mapping Strategy** - Processing in order (sites → IPs → ports → services → certs → TLS) with `flush()` after each level handled foreign keys elegantly
 4. **Test-First Approach** - Writing tests for Steps 1-3 before implementation caught many edge cases early
 5. **Comprehensive Documentation** - Detailed PHASE2.md plan made implementation straightforward and prevented scope creep
 ### Challenges Overcome
 1. **SQLite Concurrency** - Initial database locking issues with concurrent scans
   - **Solution:** Enabled WAL mode, added connection pooling, increased busy timeout to 15s
 2. **Complex JSON→DB Mapping** - Nested JSON structure with many relationships
   - **Solution:** Created `_map_report_to_models()` with ordered processing and `flush()` for ID generation
 3. **Background Thread Sessions** - SQLAlchemy session management in threads
   - **Solution:** Create isolated session per thread, pass `db_url` to background job
 4. **Content Negotiation** - API and web requests need different error formats
   - **Solution:** Check `request.path.startswith('/api/')` and `Accept` header
 5. **Request ID Correlation** - Difficult to correlate logs across request lifecycle
   - **Solution:** Add RequestIDLogFilter with UUID-based request IDs in logs and headers
 ### Technical Decisions
 1. **APScheduler over Celery** - Simpler deployment, sufficient for single-user use case
 2. **Session Auth over JWT** - Simpler for Phase 2, token auth deferred to Phase 5
 3. **SQLite WAL Mode** - Better concurrency without switching databases
 4. **Bootstrap 5 Dark Theme** - Matches existing HTML report aesthetics
 5. **Pytest over unittest** - More powerful fixtures, better parametrization
 ---
 ## 🔮 What's Next: Phase 3
 **Target Duration:** Weeks 5-6 (2 weeks)
 **Goals:**
 - Enhanced dashboard with trend charts (Chart.js)
 - Scheduled scan management UI
 - Real-time scan progress
 - Timeline view of scan history
 **Key Features:**
 - **Dashboard Enhancement:**
  - Summary cards (total scans, last scan, IPs, ports)
  - Recent scans table
  - Security warnings section
  - Drift alerts section
 - **Trend Charts:**
  - Port count over time (line chart)
  - Service distribution (bar chart)
  - Certificate expiration timeline
 - **Scheduled Scans:**
  - List/create/edit/delete schedules
  - Cron expression configuration
  - Next run time display
  - APScheduler job management
 See [ROADMAP.md](ROADMAP.md) for complete Phase 3 plan.
 ---
 ## 📝 Migration from Phase 1
 Phase 2 is fully backward compatible with Phase 1:
 **No Breaking Changes:**
 - ✅ Database schema unchanged (11 tables from Phase 1)
 - ✅ CLI scanner still works standalone
 - ✅ YAML config format unchanged
 - ✅ JSON/HTML/ZIP output format unchanged
 - ✅ Settings system compatible
 **New Additions:**
 - ✅ REST API endpoints (were stubs in Phase 1)
 - ✅ Background job system
 - ✅ Authentication system
 - ✅ Web UI templates
 - ✅ 3 new database migrations
 **Migration Steps:**
 1. Pull latest code
 2. Run database migrations: `alembic upgrade head`
 3. Set application password (if not set): `python3 init_db.py --password YOUR_PASSWORD`
 4. Rebuild Docker image: `docker-compose -f docker-compose-web.yml build`
 5. Start services: `docker-compose -f docker-compose-web.yml up -d`
 ---
 ## 📊 Final Metrics
 ### Code Coverage
 - **Total Lines Added:** ~7,500+
 - **Files Created:** 34
 - **Files Modified:** 10
 - **Test Coverage:** 100 test functions, 1,825 lines
 - **Documentation:** 2,000+ lines
 ### Features Delivered
 - ✅ 5 REST API endpoints (scans CRUD + status)
 - ✅ 3 settings endpoints (get, update, health)
 - ✅ Background job queue with APScheduler
 - ✅ Session-based authentication
 - ✅ 5 web UI pages (login, dashboard, scans list/detail, errors)
 - ✅ 6 error templates (400, 401, 403, 404, 405, 500)
 - ✅ Comprehensive error handling and logging
 - ✅ Docker deployment with healthcheck
 - ✅ Complete API documentation
 - ✅ Deployment guide
 ### Success Rate
 - ✅ All 100 tests passing
 - ✅ All success criteria met
 - ✅ All deliverables completed on time
 - ✅ Zero critical bugs
 - ✅ Production-ready deployment
 ---
 ## 🙏 Acknowledgments
 **Technologies Used:**
 - Flask 3.0 - Web framework
 - SQLAlchemy 2.0 - ORM
 - APScheduler 3.10 - Background jobs
 - Flask-Login 0.6 - Authentication
 - Bootstrap 5 - UI framework
 - pytest 7.4 - Testing
 - Alembic 1.13 - Database migrations
 ---
 ## 📞 Support
 **Documentation:**
 - [API Reference](API_REFERENCE.md)
 - [Deployment Guide](DEPLOYMENT.md)
 - [Developer Guide](../../CLAUDE.md)
 - [Roadmap](ROADMAP.md)
 **Issues:** https://github.com/anthropics/sneakyscanner/issues
 ---
 **Phase 2 Status:** COMPLETE ✓
 **Next Phase:** Phase 3 - Dashboard & Scheduling
 **Last Updated:** 2025-11-14
--- a/docs/ai/PHASE3.md
+++ b/docs/ai/PHASE3.md
--- a/docs/ai/Phase4.md
+++ b/docs/ai/Phase4.md