Add roadmap API and mock dashboard

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# GooseStrike
Mix of Nessus and OCO for CTF events
GooseStrike is an AI-assisted, Canadian-themed offensive security and CTF operations toolkit. It blends subnet discovery, CVE/exploit correlation, task orchestration, and agent-driven planning into one cohesive platform designed **only** for authorized lab environments.
## Features
- **Scanner** wraps `nmap`, preserves MAC/OUI data, captures timestamps/notes, and automatically ingests results with a scan UUID for replay-grade history.
- **Indexer** parses NVD + Exploit-DB + PacketStorm data into `db/exploits.db`, ensuring CVEs, severities, and exploit metadata always live in SQLite for offline ops.
- **FastAPI backend** tracks assets, services, CVEs, scan runs, MITRE ATT&CK suggestions, and alerts while exposing webhook hooks for n8n automations.
- **Task queue + runners** enqueue work for Metasploit, SQLMap, Hydra, OWASP ZAP, the password cracking helper, and now manage every job directly from the dashboard.
- **Password cracking automation** orchestrate Hashcat, John the Ripper, or rainbow-table (`rcrack`) jobs with consistent logging.
- **LLM agents** structured recon / CVE / exploit / privilege escalation / planning agents for high-level guidance.
- **Web UI** Canadian-themed dashboard that now shows assets, scan history, MITRE recommendations, the task queue, and inline forms to submit tool runs or password-cracking jobs inspired by OWASP Nettacker & Exploitivator playbooks.
- **Roadmap + mock data** `/core_snapshot`, `/roadmap`, and `/mock/dashboard-data` feed both the live UI and a static mock dashboard so you can preview GooseStrike with fake sample data (served at `/mockup`).
## GooseStrike Core snapshot
| Highlight | Details |
| --- | --- |
| 🔧 Stack | Nmap, Metasploit, SQLMap, Hydra, OWASP ZAP (all wired into runners) |
| 🧠 AI-ready | External LLM exploit assistant hooks for Claude / HackGPT / Ollama |
| 📚 Offline CVE mirroring | `update_cve.sh` keeps the SQLite CVE/exploit mirror fresh when air-gapped |
| 🗂 Branding kit | ASCII banner, official crest, and PDF-ready branding pack for your ops briefings |
| 📜 CVE helpers | Scan-to-CVE JSON matching scripts pulled from Nettacker / Exploitivator inspirations |
| 📦 Artifact drops | `goosestrike-cve-enabled.zip` & `hackgpt-ai-stack.zip` ship with READMEs + architecture notes |
### Coming next (roadmap you requested)
| Task | Status |
| --- | --- |
| 🐳 Build `docker-compose.goosestrike-full.yml` | ⏳ In progress |
| 🧠 HackGPT API container (linked to n8n) | ⏳ Next up |
| 🌐 Local CVE API server | Pending |
| 🧬 Claude + HackGPT fallback system | Pending |
| 🔄 n8n workflow `.json` import | Pending |
| 🎯 Target "prioritizer" AI agent | Pending |
| 🧭 SVG architecture diagram | Pending |
| 🖥 Dashboard frontend (Armitage-style) | Optional |
| 🔐 C2 bridging to Mythic/Sliver | Optional |
You can query the same table programmatically at `GET /roadmap` or fetch the bullet list at `GET /core_snapshot`.
## Architecture Overview
```
scanner.py -> /ingest/scan ---->
FastAPI (api.py) ---> db/goosestrike.db
| ├─ assets / services / service_cves
| ├─ scan_runs + scan_services (historical state)
| └─ attack_suggestions + alerts
indexer.py -> db/exploits.db --/ |
REST/JSON + Web UI (assets, scans, MITRE)
|
+-> task_queue.py -> runners (metasploit/sqlmap/hydra/zap) -> logs/
+-> app/agents/* (LLM guidance)
+-> n8n webhooks (/webhook/n8n/*)
```
## Quickstart
1. **Clone & install dependencies**
```bash
git clone <repo>
cd GooseStrike
pip install -r requirements.txt # create your own env if desired
```
2. **Run the API + UI**
```bash
uvicorn api:app --reload
```
Visit http://localhost:8000/ for the themed dashboard.
3. **Index CVEs & exploits (required for CVE severity + MITRE context)**
```bash
python indexer.py --nvd data/nvd --exploitdb data/exploitdb --packetstorm data/packetstorm.xml
```
4. **Scan a subnet**
```bash
python scanner.py 192.168.1.0/24 --fast --api http://localhost:8000 --notes "Lab validation"
```
Every run stores MAC/OUI data, timestamps, the CLI metadata, and the raw payload so `/scans` keeps a tamper-evident trail.
5. **Enqueue tool runs**
```bash
python task_queue.py enqueue sqlmap "http://example" '{"level": 2}'
```
Then invoke the appropriate runner (e.g., `python sqlmap_runner.py`) inside your own automation glue.
6. **Crack passwords (hashcat / John / rainbow tables)**
```bash
python task_queue.py enqueue password_cracker hashes '{"crack_tool": "hashcat", "hash_file": "hashes.txt", "wordlist": "/wordlists/rockyou.txt", "mode": 0}'
python password_cracker_runner.py
```
Adjust the JSON for `crack_tool` (`hashcat`, `john`, or `rainbow`) plus specific options like masks, rules, or rainbow-table paths. Prefer the dashboard forms if you want to queue these jobs without hand-writing JSON.
## Customizing the dashboard logo
Drop the exact artwork you want to display into `web/static/uploads/` (PNG/SVG/JPG/WebP). The UI auto-loads the first supported file it finds at startup, so the logo you uploaded appears at the top-right of the header instead of the default crest. If you need to host the logo elsewhere, set `GOOSESTRIKE_LOGO` to a reachable URL (or another `/static/...` path) before launching `uvicorn`.
## API Examples
- **Ingest a host**
```bash
curl -X POST http://localhost:8000/ingest/scan \
-H 'Content-Type: application/json' \
-d '{
"ip": "10.0.0.5",
"mac_address": "00:11:22:33:44:55",
"mac_vendor": "Acme Labs",
"scan": {"scan_id": "demo-001", "scanner": "GooseStrike", "mode": "fast"},
"services": [
{"port": 80, "proto": "tcp", "product": "nginx", "version": "1.23", "cves": ["CVE-2023-12345"]}
]
}'
```
- **List assets**
```bash
curl http://localhost:8000/assets
```
- **Get CVE + exploit context**
```bash
curl http://localhost:8000/cve/CVE-2023-12345
```
- **Review scan history + MITRE suggestions**
```bash
curl http://localhost:8000/scans
curl http://localhost:8000/attack_suggestions
```
- **Roadmap + mock data**
```bash
curl http://localhost:8000/core_snapshot
curl http://localhost:8000/roadmap
curl http://localhost:8000/mock/dashboard-data
```
Preview the populated UI without touching production data at http://localhost:8000/mockup .
- **Queue & review tasks**
```bash
curl -X POST http://localhost:8000/tasks \
-H 'Content-Type: application/json' \
-d '{
"tool": "password_cracker",
"target": "lab-hash",
"params": {"crack_tool": "hashcat", "hash_file": "hashes.txt", "wordlist": "rockyou.txt"}
}'
curl http://localhost:8000/tasks
```
Workers can update entries through `POST /tasks/{task_id}/status` once a run completes.
- **n8n webhook**
```bash
curl -X POST http://localhost:8000/webhook/n8n/new_cve \
-H 'Content-Type: application/json' \
-d '{"cve_id": "CVE-2023-12345", "critical": true}'
```
## Password cracking runner
`password_cracker_runner.py` centralizes cracking workflows:
- **Hashcat** supply `hash_file`, `wordlist` or `mask`, and optional `mode`, `attack_mode`, `rules`, `workload`, or arbitrary `extra_args`.
- **John the Ripper** provide `hash_file` plus switches like `wordlist`, `format`, `rules`, `incremental`, or `potfile`.
- **Rainbow tables** call `rcrack` by specifying `tables_path` along with either `hash_value` or `hash_file` and optional thread counts.
All runs land in `logs/` with timestamped records so you can prove what was attempted during an engagement.
## Kali Linux Docker stack
Need everything preloaded inside Kali? Use the included `Dockerfile.kali` and `docker-compose.kali.yml`:
```bash
docker compose -f docker-compose.kali.yml build
docker compose -f docker-compose.kali.yml up -d api
# run scanners or runners inside dedicated containers
docker compose -f docker-compose.kali.yml run --rm scanner python scanner.py 10.0.0.0/24 --fast --api http://api:8000
docker compose -f docker-compose.kali.yml run --rm worker python password_cracker_runner.py
```
The image layers the GooseStrike codebase on top of `kalilinux/kali-rolling`, installs `nmap`, `masscan`, `sqlmap`, `hydra`, `metasploit-framework`, `hashcat`, `john`, and `rainbowcrack`, and exposes persistent `db/`, `logs/`, and `data/` volumes so scan history and cracking outputs survive container restarts.
## Extending GooseStrike
- **Add a new runner** by following the `runner_utils.run_subprocess` pattern and placing a `<tool>_runner.py` file that interprets task dictionaries safely.
- **Add more agents** by subclassing `app.agents.base_agent.BaseAgent` and exposing a simple `run(context)` helper similar to the existing agents.
- **Enhance the UI** by editing `web/templates/index.html` + `web/static/styles.css` and creating dedicated JS components that consume `/assets`, `/scans`, and `/attack_suggestions`.
- **Integrate orchestration** tools (n8n, Celery, etc.) by interacting with `task_queue.py` and the FastAPI webhook endpoints.
## Safety & Legal Notice
GooseStrike is intended for **authorized security assessments, CTF competitions, and lab research only**. You are responsible for obtaining written permission before scanning, exploiting, or otherwise interacting with any system. The maintainers provide no warranty, and misuse may be illegal.