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Protect Signed Webhooks From Free-Tier Traffic

Separate webhook capacity from free-tier or lower-trust traffic, but do not confuse rate limiting with authentication. Verify raw request bytes using each provider’s signature and replay rules.
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Keep free-tier or other lower-trust traffic from consuming the capacity reserved for signed webhook deliveries: give the traffic classes separate quotas or rate-limit buckets where your architecture supports them. This is a design recommendation, not a universal meaning of “free lanes.” Crucially, rate limits protect availability; they do not prove a webhook is authentic. Verify each delivery using its provider’s signature rules before accepting it.

What separating the lanes protects—and what it does not

When one class of requests can use the same quota as webhook ingestion, a burst in that class can leave less capacity for incoming events. Independent buckets let activity in one class avoid consuming another class’s allowance. Choose the separation based on the resources and traffic classes your system actually has; free-tier requests, public endpoints, and signed webhook deliveries should not be treated as distinct classes unless they exist in your design.

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This is an availability control, not an authentication check. An attacker can still send forged requests to a webhook endpoint, and a valid signature does not reserve capacity. Use both traffic isolation and provider-specific verification.

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How to design separate limits

Choose the boundary and scope

Decide which resource needs protection, then assign separate quotas or rate-limit buckets to the relevant traffic classes. Depending on the system, useful scopes can include an API key, organization or tenant, route, or source IP. A bucket should be independent if activity in one class must not decrement another class’s counter. Okta documents independent buckets as an example of this model; GitLab documents configurable limits across paths and operations. These illustrate possible scope designs, not settings that apply to every service.

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Do not assume a source IP identifies one caller. Many users may share a proxy, and forwarded client-IP headers are only useful for enforcement when the proxy chain is configured and trusted. Test how your deployment handles proxy hops before using IP as an identity or quota key.

Define overload behavior

Specify what happens when each bucket is exhausted: reject or throttle consistently, and document retry behavior for clients. Slack documents HTTP 429 with a Retry-After header as one example. That response pattern is not universal; follow the applicable provider or client contract.

How to verify a signed webhook

Use the exact bytes and format the provider specifies

Read the signature specification for each provider. Capture the raw request body before JSON middleware parses or transforms it: parsing and re-serialization can change whitespace, key ordering, or encoding, making a legitimate signature fail. Compute the documented message authentication code over exactly the content specified, then compare the result using a constant-time comparison. HMAC-SHA256 is common in the cited documentation, but it is not a universal format: providers differ in header names, digest encoding, and whether a timestamp is included in the signed content or supplied separately. Account for providers that permit deliveries without a body.

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Verify the signature before parsing the payload for business logic or triggering side effects. Zendesk describes signatures as helping prevent replay attacks, but that should not be read as eliminating the need for separate freshness and duplicate-event checks.

Check freshness and handle duplicates

A valid MAC alone does not guarantee that a request is new. When the provider supplies a signed timestamp, check it against server time using that provider’s documented tolerance. The thresholds cited here are provider-specific: Linear recommends checking that its webhook timestamp is within one minute of server time, while OWASP’s undated draft guidance recommends rejecting timestamps more than ±5 minutes from server time. Neither value is a universal default.

When a stable event ID is available, record it and prevent duplicate processing. Keep effects idempotent as well: webhook senders may retry, and duplicate deliveries can occur even when signature checks succeed.

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Accept quickly; do longer work asynchronously

After authentication and validation pass, durably persist or enqueue the event, then return a prompt success response. Complete slow downstream work asynchronously rather than holding the inbound request open. Preserve deduplication and idempotency through that processing so retries do not repeat effects.

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OWASP’s Webhook Security Guidelines page is draft guidance and states that webhook traffic must be encrypted in transit. Treat transport encryption as part of the security design alongside signature verification, not as a substitute for it.

Implementation sequence

  1. Map the traffic: identify the request classes and the resource whose capacity must remain available for webhook ingestion.
  2. Separate appropriate quotas: select independent buckets and define whether they are keyed by credential, tenant, route, IP, or a combination. Validate proxy behavior before trusting client-IP information.
  3. Implement provider-specific verification: capture raw bytes, reproduce the documented signed message and digest, compare safely, and handle empty-body cases if allowed.
  4. Defend against replay and duplicates: apply the provider’s freshness rule, record stable event IDs where available, and make downstream effects idempotent.
  5. Persist before acknowledging: queue or durably store validated events, respond promptly, and process longer tasks asynchronously.
  6. Exercise overload cases: confirm each class is throttled predictably, clients receive the retry guidance the contract supports, and lower-priority traffic cannot drain the protected webhook bucket.

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