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Webhook

Webhook

Implement secure webhook receivers and senders with proper verification and reliability.

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: Webhook slug: webhook version: 1.0.0 description: Implement secure webhook receivers and senders with proper verification and reliability. homepage: https://clawic.com/skills/webhook metadata: clawdbot: emoji: 🪝 os: - linux - darwin - win32 displayName: Webhook

Receiving: Signature Verification

  • Always verify HMAC signature—payload can be forged; don't trust without signature
  • Common pattern: HMAC-SHA256(secret, raw_body) compared to header value
  • Use raw body bytes—parsed JSON may reorder keys, breaking signature
  • Timing-safe comparison—prevent timing attacks on signature check
  • Reject missing or invalid signature with 401—log for investigation

Receiving: Replay Prevention

  • Check timestamp in payload or header—reject if too old (>5 minutes)
  • Combine with signature—timestamp without signature can be forged
  • Store processed event IDs—reject duplicates even within time window
  • Clock skew tolerance: allow 1-2 minutes past—but not hours

Receiving: Idempotency (Critical)

  • Webhooks can arrive multiple times—sender retries on timeout, network issues
  • Use event ID for deduplication—store processed IDs in database/Redis
  • Make handlers idempotent—same event twice should have same effect
  • Idempotency window: keep IDs for 24-72h—balance storage vs protection

Receiving: Fast Response

  • Return 200/202 immediately—process asynchronously in queue
  • Senders timeout (5-30s typical)—slow processing = retry = duplicates
  • Minimal validation before 200—signature check, then queue
  • Background job for actual processing—failures don't affect acknowledgment

Receiving: Error Handling

  • 2xx = success, sender won't retry
  • 4xx = permanent failure, sender may stop retrying—use for bad signature, unknown event type
  • 5xx = temporary failure, sender will retry—use for downstream issues
  • Log full payload on error—helps debugging; redact sensitive fields

Sending: Retry Strategy

  • Exponential backoff: 1min, 5min, 30min, 2h, 8h—then give up or alert
  • Cap retries (5-10 attempts)—don't retry forever
  • Record delivery attempts—show status to user
  • Different retry for 4xx vs 5xx—4xx often means stop retrying

Sending: Signature Generation

  • Include timestamp in signature—prevents replay of captured webhooks
  • Sign raw JSON body—document exact signing algorithm
  • Header format: t=timestamp,v1=signature—allows versioned signatures
  • Provide verification code examples—reduce integration friction

Sending: Timeouts

  • 5-10 second timeout—don't wait forever for slow receivers
  • Treat timeout as failure—retry later
  • Don't follow redirects—or limit to 1-2; prevents redirect loops
  • Validate HTTPS certificate—don't skip verification

Event Design

  • Include event type: {"type": "order.created", ...}—receivers filter by type
  • Include timestamp: ISO 8601 with timezone—for ordering and freshness
  • Include full resource or ID—prefer full data; saves receiver a lookup
  • Version events: api_version field—allows breaking changes

Delivery Tracking

  • Log every attempt: URL, status code, response time, response body
  • Dashboard for retry queue—let users see pending/failed deliveries
  • Manual retry button—for stuck webhooks after receiver fix
  • Webhook logs retention: 7-30 days—balance debugging vs storage

Security Checklist

  • HTTPS only—never send webhooks to HTTP endpoints
  • Rotate secrets periodically—support multiple active secrets during rotation
  • IP allowlisting optional—document your IP ranges if offered
  • Don't include secrets in payload—webhook URL should be secret enough
  • Rate limit per endpoint—one slow receiver shouldn't affect others

Common Mistakes

  • No signature verification—anyone can POST fake events to your endpoint
  • Processing before responding—timeout causes retries, duplicate processing
  • No idempotency handling—double charges, duplicate records
  • Trusting event data blindly—always verify by fetching from source API for critical actions
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