# ThreatHunt — Session Update (February 19, 2026) ## Summary This session covered 6 feature improvements and bug fixes across the ThreatHunt platform, all deployed via Docker Compose. --- ## 1. Network Map — Clickable Type Filters (IP / Host / Domain / URL) **Request:** "IP, Host, Domain, URL on the network map… can I click on these and they would be filtered in or out" **Changes (`NetworkMap.tsx`):** - Legend chips (IP, Host, Domain, URL) are now clickable toggle filters - Added `visibleTypes` state (`Set`) and `filteredGraph` useMemo that filters nodes + edges by visible types - Active chips: filled background with type color, fully opaque - Inactive chips: outlined with type color, dimmed at 50% opacity - Each chip shows node count for that type, e.g. `IP (42)` - At least one type must stay visible (can't disable all four) - Stats chips (nodes/edges) update to reflect the filtered view - All mouse handlers (pan, hover, click, wheel zoom) updated to use `filteredGraph` instead of raw `graph` --- ## 2. Network Map — Cleaner Nodes (Brighter Colors, 20% Smaller) **Request:** "Clean up the icons, the colours are dull and the icons are too big in the map… shrink by 20%" **Changes (`NetworkMap.tsx`):** - Colors bumped to more saturated variants: - IP: `#60a5fa` → `#3b82f6` - Host: `#10b981` → `#22c55e` - Domain: `#f59e0b` → `#eab308` - URL: `#a78bfa` → `#8b5cf6` - Node radius shrunk ~20%: - Max: 22 → 18 - Base: 5 → 4 - Multiplier: 2.0 → 1.6 --- ## 3. Dataset Viewer — IOC Column Highlighting **Request:** "I'm looking at one of the datasets and 4 IOCs are showing… but I can't see it… is there a way to highlight that" **Changes (`DatasetViewer.tsx`):** - IOC columns in the DataGrid are now visually highlighted - **Header:** colored background tint + bold colored text + IOC type label (e.g. `src_ip ◆ IP`) - **Cells:** subtle colored background + left border stripe - Color-coded by IOC type matching the Network Map palette: - IP — blue (`#3b82f6`) - Hostname — green (`#22c55e`) - Domain — amber (`#eab308`) - URL — purple (`#8b5cf6`) - Hashes (MD5/SHA1/SHA256) — rose (`#f43f5e`) - Added `IOC_COLORS` mapping, `iocTypeFor()` helper, and dynamic `headerClassName`/`cellClassName` on DataGrid columns - CSS-in-JS styles injected via DataGrid `sx` prop --- ## 4. AUP Scanner — "Social Media (Personal)" → "Social Media" Rename **Request:** "On the AUP page there is Social Media (Personal) — can we remove personal, it's messing up with the formatting" **Changes (`keyword_defaults.py`):** - Default theme key renamed from `"Social Media (Personal)"` to `"Social Media"` - Added rename migration in `seed_defaults()`: checks for old name in DB, if found renames via SQL UPDATE + commit before normal seeding - Backend log confirmed: `Renamed AUP theme 'Social Media (Personal)' → 'Social Media'` --- ## 5. AUP Scanner — Hunt Dropdown (previous session, deployed) - Replaced individual dataset checkboxes with a hunt selector dropdown - Selecting a hunt auto-loads and selects all its datasets - Shows dataset/row counts below the dropdown --- ## 6. Network Map — Hunt-Scoped Interactive Map (previous session, deployed) - Hunt selector dropdown loads only that hunt's datasets - Enriched nodes with hostname, IP, OS metadata - Click-to-inspect MUI Popover showing node details - Zoom (wheel + buttons) and pan (drag) with full viewport transform - Force-directed layout with co-occurrence edges --- ## 7. Agent Assist — "Failed to Fetch" Diagnosis **Request:** "AI assist failed: Error: Failed to fetch" **Diagnosis:** - Backend agent endpoint works correctly (tested via PowerShell `Invoke-RestMethod` through nginx proxy) - Health endpoint healthy — both LLM nodes (Wile + Roadrunner) available - Extra fields sent by frontend (`mode`, `hunt_id`, `conversation_id`) are accepted by Pydantic v2 (ignored, not rejected) - "Failed to fetch" was a transient browser-level network error, not a backend issue - Response time ~5s from LLM — within nginx 120s proxy timeout - **Resolution:** Hard refresh (Ctrl+Shift+R) resolves the issue --- ## 8. Performance Fix — /api/hunts Timeout (previous session) - Root cause: `Dataset.rows` relationship had `lazy="selectin"` causing SQLAlchemy to cascade-load every DatasetRow when listing hunts - Fix: Changed `Dataset.rows` and `DatasetRow.annotations` to `lazy="noload"` in `backend/app/db/models.py` - Result: Hunts endpoint returns instantly --- ## Files Modified This Session | File | Change | |------|--------| | `frontend/src/components/NetworkMap.tsx` | Type filter toggles, brighter colors, smaller nodes | | `frontend/src/components/DatasetViewer.tsx` | IOC column highlighting in DataGrid | | `backend/app/services/keyword_defaults.py` | Theme rename + DB migration | ## Deployment All changes built and deployed via Docker Compose: ``` docker compose build --no-cache frontend docker compose up -d frontend docker compose build --no-cache backend docker compose up -d backend ``` ## Git Committed and pushed to GitHub (`main` branch): ``` 92 files changed, 13050 insertions(+), 1097 deletions(-) d0c9f88..9b98ab9 main -> main ```