Common Webhooks Mistakes and How to Avoid Them

Webhooks

Updated November 5, 2025

Dhey Avelino

Definition

Common webhook mistakes include ignoring security, failing to handle retries or duplicates, and lacking monitoring; avoid these pitfalls with validation, idempotency, and robust observability.

Overview

Webhooks are a fantastic tool for real-time integrations, but developers often encounter pitfalls that lead to missed events, duplicated processing, or security vulnerabilities. This article covers common mistakes and practical steps to avoid them so your webhook integrations remain reliable and secure.


Mistake 1: Skipping signature validation

Why it happens: Validating signatures requires extra code and secret management, and some developers assume HTTPS is sufficient.

Why it’s a problem: Without signature checks, anyone can send fake webhook requests to your endpoint, potentially triggering unauthorized actions. TLS encrypts the channel but does not authenticate the sender beyond the certificate of the server; a compromised provider account or man-in-the-middle could still cause issues.

How to avoid it: Use HMAC signatures or a token header, and verify them on every request. Also check timestamps to prevent replay attacks. Rotate secrets periodically and offer a way to support multiple active secrets during rotation.


Mistake 2: Not making processing idempotent

Why it happens: Developers assume each webhook will be delivered once. In reality, networks fail and providers retry, often delivering duplicates.

Why it’s a problem: Duplicate deliveries can trigger duplicate invoices, double shipments, or repeated database inserts.

How to avoid it: Persist a unique event ID (provided by the webhook) and use it to detect duplicates. Design operations as upserts instead of blind inserts. Keep a short-term cache of processed event IDs if permanent storage is not appropriate.


Mistake 3: Blocking or slow responses

Why it happens: Developers implement heavy synchronous work — like complex business logic, third-party API calls, or large database operations — inside the request handler.

Why it’s a problem: Providers expect quick acknowledgements; if your endpoint is slow or times out, you’ll trigger retries and potential backlogs.

How to avoid it: Respond quickly with a 200-level status after basic validation, then enqueue work for asynchronous processing. Use background workers and message queues to manage load and retries.


Mistake 4: Poor schema handling and breaking changes

Why it happens: Payload structures evolve and teams push changes without versioning or notice.

Why it’s a problem: Receivers fail when fields are renamed, moved, or removed, leading to runtime errors or incorrect behavior.

How to avoid it: Use semantic versioning for webhook payloads or maintain backward compatibility by adding new fields rather than changing existing ones. Validate payloads against a schema and fail gracefully when optional fields are missing.


Mistake 5: No replay or dead-letter support

Why it happens: Teams assume once a webhook is attempted it’s done; they don’t provide ways to replay or inspect failed deliveries.

Why it’s a problem: A transient outage can cause missed events; without replay, recovering requires manual work or guessing.

How to avoid it: If you’re a provider, offer replay APIs and delivery logs. If you’re a receiver, log incoming events to permanent storage or a dead-letter queue before processing so you can reprocess if needed.


Mistake 6: Insufficient observability and alerting

Why it happens: Webhooks feel lightweight, so teams skip setting up monitoring and assume problems will be obvious.

Why it’s a problem: Asynchronous failures can go unnoticed for long periods, causing data gaps or operational issues.

How to avoid it: Monitor delivery success rate, latency, retry counts, and queue backlogs. Log request/response pairs (redacting sensitive information) and set alerts for sustained error rates or spikes in latency.


Mistake 7: Not planning for scale or bursts

Why it happens: Early systems receive low event volumes and don’t prepare for growth.

Why it’s a problem: Sudden spikes (sales events, marketing campaigns, or provider retries) can overwhelm endpoints and downstream systems.

How to avoid it: Use autoscaling for web servers and workers, implement rate limiting, and design queues to buffer bursts. Test with load simulation to ensure your architecture handles peak loads gracefully.


Mistake 8: Ignoring security beyond signatures

Why it happens: Developers focus only on signatures and forget other security aspects.

Why it’s a problem: Malicious payloads, excessive permissions, or exposed logs can leak sensitive data or enable attacks.

How to avoid it: Validate and sanitize payload content, enforce least privilege for any API keys or tokens used during processing, and avoid storing sensitive data in logs. Use network segmentation and follow best practices for secret management.


Practical checklist to avoid common webhook mistakes

  • Require HTTPS and validate HMAC signatures and timestamps.
  • Make handlers idempotent by tracking event IDs.
  • Respond quickly and process heavy work asynchronously.
  • Implement schema validation and support versioning.
  • Log incoming events and provide replay or dead-letter capabilities.
  • Monitor delivery metrics and set alerts for anomalies.
  • Plan for scaling and burst traffic with queues and autoscaling.
  • Sanitize inputs and redact sensitive fields from logs.


Addressing these common mistakes will make your webhook integrations robust and maintainable. Start by validating signatures and implementing idempotent processing, then add structured logging, monitoring, and scalable background processing. With these safeguards in place, webhooks become a reliable backbone for real-time automation across systems.

Tags
Webhooks
errors
troubleshooting
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