# Architecture Patterns

**Domain:** API key / secret scanner with OSINT recon, web dashboard, and notification system
**Project:** KeyHunter
**Researched:** 2026-04-04
**Overall confidence:** HIGH (TruffleHog/Gitleaks internals verified via DeepWiki and official repos; Go patterns verified via official docs and production examples)

---

## Recommended Architecture

KeyHunter is a single Go binary composed of seven discrete subsystems. Each subsystem owns its own package boundary. Communication between subsystems flows through well-defined interfaces — not direct struct coupling.

```
CLI (Cobra)
    |
    +---> Scanning Engine          (regex + entropy + Aho-Corasick pre-filter)
    |         |
    |         +--> Provider Registry    (YAML definitions, embed.FS at compile time)
    |         +--> Source Adapters      (file, dir, git, URL, stdin, clipboard)
    |         +--> Worker Pool          (goroutine pool + buffered channels)
    |         +--> Verification Engine  (opt-in, per-provider HTTP endpoints)
    |
    +---> OSINT / Recon Engine     (80+ sources, category-based orchestration)
    |         |
    |         +--> Source Modules       (one module per category, rate-limited)
    |         +--> Dork Engine          (YAML dorks, multi-search-engine dispatch)
    |         +--> Recon Worker Pool    (per-source concurrency + throttle)
    |
    +---> Import Adapters          (TruffleHog JSON, Gitleaks JSON -> internal Finding)
    |
    +---> Storage Layer            (SQLite via go-sqlcipher, AES-256 at rest)
    |
    +---> Web Dashboard            (htmx + Tailwind, Go templates, embed.FS, SSE)
    |
    +---> Notification System      (Telegram bot, long polling, command router)
    |
    +---> Scheduler                (gocron, cron expressions, persisted job state)
```

---

## Component Boundaries

### 1. CLI Layer (`pkg/cli`)

**Responsibility:** Command routing only. Zero business logic. Parses flags, wires subcommands, starts the correct subsystem. Uses Cobra (industry standard for Go CLIs, used by TruffleHog v3 and Gitleaks).

**Communicates with:** All subsystems as the top-level entry point.

**Key commands:** `scan`, `verify`, `import`, `recon`, `keys`, `serve`, `dorks`, `providers`, `config`, `hook`, `schedule`.

**Build notes:** Cobra subcommand tree should be defined as a package; main.go should remain under 30 lines.

---

### 2. Provider Registry (`pkg/providers`)

**Responsibility:** Load and serve provider definitions. Providers are YAML files embedded at compile time via `//go:embed providers/*.yaml`. The registry parses them on startup into an in-memory slice of `Provider` structs.

**Provider YAML schema:**
```yaml
name: openai
version: 1
keywords: ["sk-proj-", "openai"]
patterns:
  - regex: 'sk-proj-[A-Za-z0-9]{48}'
    entropy_min: 3.5
    confidence: high
verify:
  method: POST
  url: https://api.openai.com/v1/models
  headers:
    Authorization: "Bearer {KEY}"
  valid_status: [200]
  invalid_status: [401, 403]
```

**Communicates with:** Scanning Engine (provides patterns and keywords), Verification Engine (provides verify endpoint specs), Web Dashboard (provider listing pages).

**Build rationale:** Must be implemented first. Everything downstream depends on it. No external loading at runtime — compile-time embed gives single binary advantage TruffleHog documented as a key design goal.

---

### 3. Scanning Engine (`pkg/engine`)

**Responsibility:** Core detection pipeline. Replicates TruffleHog v3's three-stage approach: keyword pre-filter → regex/entropy detection → optional verification. Manages the goroutine worker pool.

**Pipeline stages (mirrors TruffleHog's architecture):**

```
Source Adapter  →  chunker  →  [keyword pre-filter: Aho-Corasick]
                                        |
                               [detector workers] (8x CPU multiplier)
                                        |
                              [verification workers] (1x multiplier, opt-in)
                                        |
                               results channel
                                        |
                              [output formatter]
```

**Aho-Corasick pre-filter:** Before running expensive regex, scan chunks for keyword presence. TruffleHog documented this delivers approximately 10x performance improvement on large codebases. Each provider supplies `keywords` — the Aho-Corasick automaton is built from all keywords at startup.

**Channel-based communication:**
- `chunksChan chan Chunk` — raw chunks from sources
- `detectableChan chan Chunk` — keyword-matched chunks only
- `resultsChan chan Finding` — confirmed detections
- All channels are buffered to prevent goroutine starvation.

**Source adapters implement a single interface:**
```go
type Source interface {
    Name() string
    Chunks(ctx context.Context, ch chan<- Chunk) error
}
```

**Concrete source adapters:** `FileSource`, `DirSource`, `GitSource`, `URLSource`, `StdinSource`, `ClipboardSource`.

**Communicates with:** Provider Registry (fetches detector specs), Verification Engine (forwards candidates), Storage Layer (persists findings), Output Formatter (writes CLI results).

---

### 4. Verification Engine (`pkg/verify`)

**Responsibility:** Active key validation. Off by default, activated with `--verify`. Makes HTTP calls to provider-defined endpoints with the discovered key. Classifies results as `verified` (valid key), `invalid` (key rejected), or `unknown` (endpoint unreachable/ambiguous).

**Caching:** Results are cached in-memory per session to avoid duplicate API calls for the same key. Cache key = `provider:key_hash`.

**Rate limiting:** Per-provider rate limiter (token bucket) prevents triggering account lockouts or abuse detection.

**Communicates with:** Scanning Engine (receives candidates), Storage Layer (updates finding status), Notification System (triggers alerts on verified finds).

---

### 5. OSINT / Recon Engine (`pkg/recon`)

**Responsibility:** Orchestrates searches across 80+ external sources in 18 categories. Acts as a dispatcher: receives a target query, fans out to all configured source modules, aggregates raw text results, and pipes them into the Scanning Engine.

**Category-module mapping:**
```
pkg/recon/
  sources/
    iot/         (shodan, censys, zoomeye, fofa, netlas, binaryedge)
    code/        (github, gitlab, bitbucket, huggingface, kaggle, ...)
    search/      (google, bing, duckduckgo, yandex, brave dorking)
    paste/       (pastebin, dpaste, hastebin, rentry, ix.io, ...)
    registry/    (npm, pypi, rubygems, crates.io, maven, nuget, ...)
    container/   (docker hub layers, k8s configs, terraform, helm)
    cloud/       (s3, gcs, azure blob, do spaces, minio)
    cicd/        (travis, circleci, github actions, jenkins)
    archive/     (wayback machine, commoncrawl)
    forum/       (stackoverflow, reddit, hackernews, dev.to, medium)
    collab/      (notion, confluence, trello)
    frontend/    (source maps, webpack, exposed .env, swagger)
    log/         (elasticsearch, grafana, sentry)
    intel/       (virustotal, intelx, urlhaus)
    mobile/      (apk decompile)
    dns/         (crt.sh, endpoint probing)
    api/         (postman, swaggerhub)
```

**Each source module implements:**
```go
type ReconSource interface {
    Name() string
    Category() string
    Search(ctx context.Context, query string, opts Options) ([]string, error)
    RateLimit() rate.Limit
}
```

**Orchestrator behavior:**
1. Fan out to all enabled source modules concurrently.
2. Each module uses its own `rate.Limiter` (respects per-source limits).
3. Stealth mode adds jitter delays and respects robots.txt.
4. Aggregated text results → chunked → fed to Scanning Engine.

**Dork Engine (`pkg/recon/dorks`):** Separate sub-component. Reads YAML dork definitions, formats them per search engine syntax, dispatches to search source modules.

**Communicates with:** Scanning Engine (sends chunked recon text for detection), Storage Layer (persists recon job state and results), CLI Layer.

---

### 6. Import Adapters (`pkg/importers`)

**Responsibility:** Parse external tool JSON output (TruffleHog, Gitleaks) and convert to internal `Finding` structs for storage. Decouples third-party formats from internal model.

**Adapters:**
- `TruffleHogAdapter` — parses TruffleHog v3 JSON output
- `GitleaksAdapter` — parses Gitleaks v8 JSON output

**Communicates with:** Storage Layer only (writes normalized findings).

---

### 7. Storage Layer (`pkg/storage`)

**Responsibility:** Persistence. All findings, provider data, recon jobs, scan metadata, dorks, and scheduler state live here. SQLite via go-sqlcipher (AES-256 encryption at rest).

**Schema boundaries:**
```
findings        (id, provider, key_masked, key_encrypted, status, source, path, timestamp, verified)
scans           (id, type, target, started_at, finished_at, finding_count)
recon_jobs      (id, query, categories, started_at, finished_at, source_count)
scheduled_jobs  (id, cron_expr, scan_config_json, last_run, next_run, enabled)
settings        (key, value)
```

**Key masking:** Full keys are AES-256 encrypted in `key_encrypted`. Display value in `key_masked` is truncated to first 8 / last 4 characters. `--unmask` flag decrypts on access.

**Communicates with:** All subsystems that need persistence (Scanning Engine, Recon Engine, Import Adapters, Dashboard, Scheduler, Notification System).

---

### 8. Web Dashboard (`pkg/dashboard`)

**Responsibility:** Embedded web UI. Go templates + htmx + Tailwind CSS, all embedded via `//go:embed` at compile time. No external JS framework. Server-sent events (SSE) for live scan progress without WebSocket complexity.

**Pages:** scans, keys, recon, providers, dorks, settings.

**HTTP server:** Standard library `net/http` is sufficient. No framework overhead needed for this scale.

**SSE pattern for live updates:**
```go
// Scan progress pushed to browser via SSE
// Browser uses hx-sse extension to update scan status table
```

**Communicates with:** Storage Layer (reads/writes), Scanning Engine (triggers scans, receives SSE events), Recon Engine (triggers recon jobs).

---

### 9. Notification System (`pkg/notify`)

**Responsibility:** Telegram bot integration. Sends alerts on verified findings, responds to bot commands. Uses long polling (preferred for single-instance local tools — no public URL needed, simpler setup than webhooks).

**Bot commands map to CLI commands:** `/scan`, `/verify`, `/recon`, `/status`, `/stats`, `/subscribe`, `/key`.

**Subscribe pattern:** Users `/subscribe` to be notified when verified findings are discovered. Subscriber chat IDs stored in SQLite settings.

**Communicates with:** Storage Layer (reads findings, subscriber list), Scanning Engine (receives verified finding events).

---

### 10. Scheduler (`pkg/scheduler`)

**Responsibility:** Cron-based recurring scan scheduling. Uses `go-co-op/gocron` (actively maintained fork of jasonlvhit/gocron). Scheduled job definitions persisted in SQLite so they survive restarts.

**Communicates with:** Storage Layer (reads/writes job definitions), Scanning Engine (triggers scans), Notification System (notifies on scan completion).

---

## Data Flow

### Flow 1: CLI Scan

```
User: keyhunter scan --path ./repo --verify

CLI Layer
  -> parses flags, builds ScanConfig
  -> calls Engine.Scan(ctx, config)

Scanning Engine
  -> GitSource.Chunks() produces chunks onto chunksChan
  -> Aho-Corasick filter passes keyword-matched chunks to detectableChan
  -> Detector Workers apply provider patterns, produce candidates on resultsChan
  -> Verification Workers (if --verify) call provider verify endpoints
  -> Findings written to Storage Layer
  -> Output Formatter writes colored table / JSON / SARIF to stdout
```

### Flow 2: Recon Job

```
User: keyhunter recon --query "OPENAI_API_KEY" --categories code,paste,search

CLI Layer
  -> calls Recon Engine with query + categories

Recon Engine
  -> fans out to all enabled source modules for selected categories
  -> each module rate-limits itself, fetches content
  -> raw text results chunked and sent to Scanning Engine via internal channel

Scanning Engine
  -> same pipeline as Flow 1
  -> findings tagged with recon source metadata
  -> persisted to Storage Layer
```

### Flow 3: Web Dashboard Live Scan

```
Browser: POST /api/scan (hx-post from htmx)
  -> Dashboard handler creates scan record in Storage Layer
  -> Dashboard handler starts Scanning Engine in goroutine
  -> Browser subscribes to SSE endpoint GET /api/scan/:id/events
  -> Engine emits progress events to SSE channel
  -> htmx SSE extension updates scan status table in real time
  -> On completion, full findings table rendered via hx-get
```

### Flow 4: Scheduled Scan + Telegram Notification

```
Scheduler (gocron)
  -> fires job at cron time
  -> reads ScanConfig from SQLite scheduled_jobs
  -> triggers Scanning Engine

Scanning Engine
  -> runs scan, persists findings

Notification System
  -> on verified finding: reads subscriber list from SQLite
  -> sends Telegram message to each subscriber via bot API (long poll loop)
```

### Flow 5: Import from External Tool

```
User: keyhunter import --tool trufflehog --file th_output.json

CLI Layer -> Import Adapter (TruffleHogAdapter)
  -> reads JSON, maps to []Finding
  -> writes to Storage Layer
  -> prints import summary to stdout
```

---

## Build Order (Phase Dependencies)

This ordering reflects hard dependencies — a later component cannot be meaningfully built without the earlier ones.

| Order | Component | Depends On | Why First |
|-------|-----------|-----------|-----------|
| 1 | Provider Registry | nothing | All other subsystems depend on provider definitions. Must exist before any detection can be designed. |
| 2 | Storage Layer | nothing (schema only) | Findings model must be defined before anything writes to it. |
| 3 | Scanning Engine (core pipeline) | Provider Registry, Storage Layer | Engine is the critical path. Source adapters and worker pool pattern established here. |
| 4 | Verification Engine | Scanning Engine, Provider Registry | Layered on top of scanning, needs provider verify specs. |
| 5 | Output Formatters (table, JSON, SARIF, CSV) | Scanning Engine | Needed to validate scanner output before building anything on top. |
| 6 | Import Adapters | Storage Layer | Self-contained, only needs storage model. Can be parallel with 4/5. |
| 7 | OSINT / Recon Engine | Scanning Engine, Storage Layer | Builds on the established scanning pipeline as its consumer. |
| 8 | Dork Engine | Recon Engine (search sources) | Sub-component of Recon; needs search source modules to exist. |
| 9 | Scheduler | Scanning Engine, Storage Layer | Requires engine and persistence. Adds recurring execution on top. |
| 10 | Web Dashboard | Storage Layer, Scanning Engine, Recon Engine | Aggregates all subsystems into UI; must be last. |
| 11 | Notification System | Storage Layer, Verification Engine | Triggered by verification events; needs findings and subscriber storage. |

**MVP critical path:** Provider Registry → Storage Layer → Scanning Engine → Verification Engine → Output Formatters.

Everything else (OSINT, Dashboard, Notifications, Scheduler) layers on top of this proven core.

---

## Patterns to Follow

### Pattern 1: Buffered Channel Pipeline (TruffleHog-derived)

**What:** Goroutine stages connected by buffered channels. Each stage has a configurable concurrency multiplier.

**When:** Any multi-stage concurrent processing (scanning, recon aggregation).

**Example:**
```go
// Engine spin-up
chunksChan := make(chan Chunk, 1000)
detectableChan := make(chan Chunk, 500)
resultsChan := make(chan Finding, 100)

// Stage goroutines
for i := 0; i < runtime.NumCPU()*8; i++ {
    go detectorWorker(detectableChan, resultsChan, providers)
}
for i := 0; i < runtime.NumCPU(); i++ {
    go verifyWorker(resultsChan, storage, notify)
}
```

**Why:** Decouples stages, prevents fast producers from blocking slow consumers, enables independent scaling of each stage.

---

### Pattern 2: Source Interface + Adapter

**What:** All scan inputs implement a single `Source` interface. New sources are added by implementing the interface, not changing the engine.

**When:** Adding any new input type (new code host, new file format).

**Example:**
```go
type Source interface {
    Name() string
    Chunks(ctx context.Context, ch chan<- Chunk) error
}
```

---

### Pattern 3: YAML Provider with compile-time embed

**What:** Provider definitions live in `providers/*.yaml`, embedded at compile time. No runtime file loading.

**When:** Adding new LLM provider detection support.

**Why:** Single binary distribution. Zero external dependencies at runtime. Community can submit PRs with YAML files — no Go code required to add a provider.

```go
//go:embed providers/*.yaml
var providersFS embed.FS
```

---

### Pattern 4: Rate Limiter per Recon Source

**What:** Each recon source module holds its own `golang.org/x/time/rate.Limiter`. The orchestrator does not centrally throttle.

**When:** All external HTTP calls in the recon engine.

**Why:** Different sources have wildly different rate limits (Shodan: 1 req/s free; GitHub: 30 req/min unauthenticated; Pastebin: no documented limit). Centralizing would set all to the slowest.

---

### Pattern 5: SSE for Dashboard Live Updates

**What:** Server-Sent Events pushed from Go HTTP handler to htmx SSE extension. One-way server→browser push. No WebSocket needed.

**When:** Live scan progress, recon job status.

**Why:** SSE uses standard HTTP, works through proxies, simpler than WebSockets for one-way push, supported natively by htmx SSE extension.

---

## Anti-Patterns to Avoid

### Anti-Pattern 1: Global State for Provider Registry

**What:** Storing providers as package-level globals loaded once at startup.

**Why bad:** Makes testing impossible without full initialization. Prevents future per-scan provider subsets.

**Instead:** Pass a `*ProviderRegistry` explicitly to the engine constructor.

---

### Anti-Pattern 2: Unbuffered Result Channels

**What:** Using `make(chan Finding)` (unbuffered) for the results pipeline.

**Why bad:** A slow output writer blocks detector workers, collapsing parallelism. TruffleHog's architecture explicitly uses buffered channels managing thousands of concurrent operations.

**Instead:** Buffer proportional to expected throughput (`make(chan Finding, 1000)`).

---

### Anti-Pattern 3: Direct HTTP in Detector Workers

**What:** Detector goroutines making HTTP calls to verify endpoints inline.

**Why bad:** Verification is slow (network I/O). It would block detector workers, killing throughput.

**Instead:** Separate verification worker pool as a distinct pipeline stage (TruffleHog's design).

---

### Anti-Pattern 4: Runtime YAML Loading for Providers

**What:** Loading provider YAML from filesystem at scan time.

**Why bad:** Breaks single binary distribution. Users must manage provider files separately. Security risk (external file modification).

**Instead:** `//go:embed providers/*.yaml` at compile time.

---

### Anti-Pattern 5: Storing Plaintext Keys in SQLite

**What:** Storing full API keys as plaintext in the database.

**Why bad:** Database file = credential dump. Any process with file access can read all found keys.

**Instead:** AES-256 encrypt the full key column. Store only masked version for display. Decrypt on explicit `--unmask` or via auth-gated dashboard endpoint.

---

### Anti-Pattern 6: Monolithic Recon Orchestrator

**What:** One giant function that loops through all 80+ sources sequentially.

**Why bad:** Recon over 80 sources sequentially would take hours. No per-source error isolation.

**Instead:** Fan-out pattern. Each source module runs concurrently in its own goroutine. Errors are per-source (one failing source doesn't abort the job).

---

## Package Structure

```
keyhunter/
  main.go                    (< 30 lines, cobra root init)
  cmd/                       (cobra command definitions)
    scan.go
    recon.go
    keys.go
    serve.go
    ...
  pkg/
    providers/               (Provider struct, YAML loader, embed.FS)
    engine/                  (scanning pipeline, worker pool, Aho-Corasick)
      sources/               (Source interface + concrete adapters)
        file.go
        dir.go
        git.go
        url.go
        stdin.go
        clipboard.go
    verify/                  (Verification engine, HTTP client, cache)
    recon/                   (Recon orchestrator)
      sources/               (ReconSource interface + category modules)
        iot/
        code/
        search/
        paste/
        ...
      dorks/                 (Dork engine, YAML dork loader)
    importers/               (TruffleHog + Gitleaks JSON adapters)
    storage/                 (SQLite layer, go-sqlcipher, schema, migrations)
    dashboard/               (HTTP handlers, Go templates, embed.FS)
      static/                (tailwind CSS, htmx JS — embedded)
      templates/             (HTML templates — embedded)
    notify/                  (Telegram bot, long polling, command router)
    scheduler/               (gocron wrapper, SQLite persistence)
    output/                  (Table, JSON, SARIF, CSV formatters)
    config/                  (Config struct, YAML config file, env vars)
  providers/                 (YAML provider definitions — embedded at build)
    openai.yaml
    anthropic.yaml
    ...
  dorks/                     (YAML dork definitions — embedded at build)
    github.yaml
    google.yaml
    ...
```

---

## Scalability Considerations

| Concern | Single user / local tool | Team / shared instance |
|---------|--------------------------|------------------------|
| Concurrency | Worker pool default: `8x NumCPU` detectors | Configurable via `--concurrency` flag |
| Storage | SQLite handles millions of findings at local scale | SQLite WAL mode for concurrent readers; migrate to PostgreSQL only if needed (out of scope per PROJECT.md) |
| Recon rate limits | Per-source rate limiters; stealth mode adds jitter | API keys / tokens configured per source for higher limits |
| Dashboard | Embedded single-instance; no auth by default | Optionally add basic auth via config for shared deployments |
| Verification | Opt-in; per-provider rate limiting prevents API abuse | Same — no change needed at team scale |

---

## Sources

- DeepWiki TruffleHog engine architecture: https://deepwiki.com/trufflesecurity/trufflehog/2.1-engine-configuration (HIGH confidence — generated from official source)
- TruffleHog v3 official repo: https://github.com/trufflesecurity/trufflehog (HIGH confidence)
- TruffleHog v3 source packages: https://pkg.go.dev/github.com/trufflesecurity/trufflehog/v3/pkg/sources (HIGH confidence)
- Gitleaks official repo: https://github.com/gitleaks/gitleaks (HIGH confidence)
- Go embed package: https://pkg.go.dev/embed (HIGH confidence — official)
- go-co-op/gocron: https://github.com/go-co-op/gocron (HIGH confidence)
- go-sqlcipher (AES-256): https://github.com/mutecomm/go-sqlcipher (MEDIUM confidence — check active maintenance status)
- SQLCipher: https://github.com/sqlcipher/sqlcipher (HIGH confidence)
- SSE with Go + htmx: https://threedots.tech/post/live-website-updates-go-sse-htmx/ (MEDIUM confidence — community blog, well-verified pattern)
- Telego (Telegram bot Go): https://github.com/mymmrac/telego (MEDIUM confidence)
- TruffleHog v3 introducing blog: https://trufflesecurity.com/blog/introducing-trufflehog-v3 (HIGH confidence — official)
