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Yes, an API token can be designed for one successful request. The server atomically records the token identifier as spent when it accepts the request; any later request carrying that identifier is rejected. This sharply reduces replay after a successful call, but it does not make replay impossible. An attacker can race the legitimate client before first use, exploit a compromised client, or use a stolen token anywhere its scope and audience permit.
Burn-on-use authentication also changes reliability. A network timeout can leave the client unsure whether the operation committed and whether its token is gone. A production design therefore needs shared replay state, idempotency or operation-status recovery, a replacement-token flow, and the same TLS, short lifetime, audience, and scope controls used for ordinary bearer credentials.
What is a burned, single-use API token?
A burned token is a consume-once capability. It authorizes at most one accepted request, rather than remaining valid until its expiration time. The resource server identifies the credential with an opaque handle, a JWT jti, or an equivalent unique value. During request processing it checks that value, accepts the operation, and marks the value used as one atomic action.
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A free scan shows the junk files, broken settings and background clutter dragging Windows down - then fixes them in one click.Free scan · Windows 10 & 11A second request with the same identifier receives a distinct replay response, even if the signature, expiry, and scope are otherwise valid. This is different from an ordinary access token, which is normally reusable until expiry. OAuth already defines authorization codes as short-lived and single-use; extending that property to resource requests is an application architecture, not the default behavior of OAuth access tokens.
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How does a one-time token request work?
The important ordering is validation, atomic consumption, and operation handling. A typical flow looks like this:
- The client obtains a token containing a unique identifier, audience, scope, and expiration.
- The client sends it over TLS with the protected request.
- The resource server validates transport, signature or introspection, issuer, audience, scope, and expiry.
- The server atomically claims the identifier in replay state. The first successful claim wins.
- Only the request associated with that claim may proceed. A later claim attempt is classified as token replay.
- The server returns the operation result and, where the protocol requires it, a replacement credential or a way to obtain one.
Consumption must be atomic. A check followed by a separate write creates a race in which two workers can both observe an unused token and both perform the operation. A compare-and-set record, transactional key-value write, or equivalent single-writer primitive prevents that race.
Why does burning every token require server-side state?
Reusable self-contained JWT validation can often be stateless: verify the signature and claims, then accept the request. Single-use validation cannot be purely stateless because the server must remember that a particular identifier has already succeeded.
What must be retained?
Retain the identifier and a claim time at least until the token could no longer be accepted. For a JWT, retaining used jti values for the token’s validity period is explicitly permitted by JWT guidance. Store only what operations and investigations require; never store raw bearer material when a keyed hash of the identifier can support lookup.
How long should replay records live?
Align the retention window with the token’s maximum acceptance period, including any clock-skew allowance. Expiring entries too early reopens a replay window. Keeping them substantially longer increases storage and privacy costs without improving protection after the credential can no longer pass validation.
What changes in a multi-server deployment?
Every server that can accept the same request must see a consistent claim result. Use a shared strongly consistent store, route a token’s traffic to one authoritative partition, or use another coordination design with clearly defined failure behavior. RFC 9449 notes that strict single-use checking is powerful for replay protection but may be infeasible when servers lack shared state.
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How do retries work when the token is single-use?
Retries are the hardest product issue. If the server commits a write and the response is lost, the client cannot safely present the burned token again. If the first request never reached the server, the same symptom—a timeout—means the token might still be available. The protocol must let the client discover which case occurred.
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Send a separate, client-generated operation identifier with each mutating request. The server stores the operation result against that key. A retry can then ask for the existing result without reusing the consumed credential. The key must be scoped to the authenticated principal and expire according to the operation’s retention policy; otherwise it can become an unintended replay channel.
Offer an operation-status endpoint
After an ambiguous timeout, the client can query status by operation identifier. The status response should distinguish committed, rejected, and still-processing states. It should not require the original burned token; require a fresh credential or another authenticated session mechanism.
Issue a retry credential carefully
A narrowly scoped retry token can authorize only retrieval or completion of the already-created operation. Document whether it is issued before or after the protected operation commits. Issuing it before a commit can leave an unused credential if the transaction fails; issuing it only after a commit avoids that ambiguity but requires a reliable way for the client to obtain it after a lost response.
Never blindly replay a write
Automatic HTTP retries that resend the same body and a new one-time credential can duplicate an irreversible action unless the operation identifier makes the server idempotent. For payments, account changes, provisioning, and deletion, require idempotency semantics before enabling transparent retries.
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Would one-time tokens stop replay attacks?
They provide strong post-use replay resistance, not universal replay immunity. Once a request has been accepted and the identifier is atomically marked spent, a captured copy normally cannot be used again. The protection is strongest when the replay state is globally visible and failures do not cause the service to accept requests without a claim.
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Where protection is strong
- A completed request captured from logs or a network observer cannot ordinarily be submitted a second time.
- Two near-simultaneous submissions are serialized by the atomic claim; only one can win.
- A narrowly scoped token limits the damage if the unused credential is stolen.
Where risk remains
- Leak before use: an attacker can race the legitimate client and spend the token first.
- Bearer disclosure: anyone holding an unused bearer token can use it wherever the server accepts it. TLS, secure storage, and avoiding URLs and insecure cookies remain mandatory.
- Compromised clients: malware or an abused service can submit the intended first request.
- Refresh or reauthorization credentials: stealing a longer-lived credential can let an attacker mint additional one-time tokens.
- Coordination failures: a partition or stale replica can permit duplicate acceptance, while fail-open behavior defeats the security property.
- Implementation defects: incorrect expiry, identifier reuse, clock handling, or transaction ordering can reopen replay paths.
Sender-constrained access tokens reduce the before-use risk by requiring proof of possession of a client key. RFC 9700 (2025) recommends mechanisms such as mutual TLS or DPoP for this purpose. Sender constraining complements, rather than replaces, single-use consumption.
How does a single-use design compare with other token choices?
The right design depends on how damaging a duplicate request would be and how much coordination the service can operate reliably.
| Design | Replay protection | Retry experience | Coordination cost | Best fit |
|---|---|---|---|---|
| Ordinary bearer token | Relies on expiry and transport controls | Simple | Low | General APIs with low replay sensitivity |
| Short-lived, scoped bearer token | Smaller theft window; replay remains possible during validity | Simple with refresh | Low to medium | Browser and general client APIs |
| Sender-constrained token (mTLS or DPoP) | Stolen token is less useful without the sender key | Moderate client setup | Medium | High-value APIs and distributed clients |
| Single-use request token | Strong post-use replay resistance | Hard; requires idempotency or status recovery | High | Irreversible or highly replay-sensitive operations |
For many read operations, a short-lived, audience-restricted token is simpler and more available. Reserve burn-on-use credentials for actions where duplicate execution is materially worse than the added state and retry complexity.
How do you implement a burned-token endpoint?
The following sequence keeps security checks and reliability behavior explicit.
- Mint an unguessable credential. Generate a high-entropy opaque value, or sign a token with a unique identifier. OAuth guidance states a maximum guessing probability of 2-128 for generated credentials and recommends the stronger 2-160 target. Include audience, narrowly defined scope, issuer, and expiry.
- Set a short validity period. Bearer-token guidance recommends a lifetime of one hour or less in environments where leakage is a concern. Use a shorter period for high-risk operations when clients can obtain credentials reliably.
- Validate before consuming. Require TLS, then verify signature or introspection, issuer, audience, scope, expiry, and any sender-constraining proof. Do not spend a token for a request that fails these checks; otherwise malformed traffic can exhaust legitimate credentials.
- Atomically claim the identifier. Perform an insert-if-absent or compare-and-set operation with an expiry aligned to token validity. Treat a duplicate-key or failed compare as a replay, not as a generic database error.
- Bind the claim to the operation. Record the authenticated subject, endpoint or action, and operation identifier needed for audit and idempotency. Hash or encrypt sensitive values and apply access controls to the replay store.
- Commit business state with idempotency protection. Use a transaction or durable operation record so a process crash cannot leave the client unable to discover whether the action committed.
- Return a precise result. Provide a stable category for token-already-used responses. For an accepted mutation, return the operation identifier and any replacement or status credential according to the documented protocol.
- Instrument and alert. Count first-use successes, replay attempts, claim-store errors, and ambiguous operations separately. Never put raw tokens in logs, traces, URLs, analytics, or exception messages.
validate_transport_and_claims(token)
if claim_store.insert_if_absent(token.id, expires_at=token.expiry):
result = execute_idempotent(operation_id, request)
return result
else:
return error('token_already_used')This pseudocode is a sequencing model, not a drop-in library. The claim and the operation record need a failure strategy that matches the datastore’s transaction and durability guarantees.
What failure modes should operators plan for?
Replay-state outage
If the claim store is unavailable, fail-closed behavior preserves single-use security but can reject legitimate traffic. Fail-open behavior preserves availability while allowing replay. Choose deliberately, document the incident mode, and monitor the dependency as part of the API’s critical path.
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Clock skew
Different validation nodes can disagree about expiry. Use synchronized clocks, a narrowly defined skew allowance, and an expiration on replay records that covers the same allowance.
Duplicate identifiers
A minting bug that reuses an identifier can cause unrelated requests to reject one another. Generate identifiers with a cryptographically secure source, enforce uniqueness at issuance, and alert on collisions.
Lost responses
Do not infer that a timeout means rejection. Have clients query operation status with a fresh authenticated context and make the server’s operation record durable before acknowledging completion.
Telemetry that hides attacks
Logging every rejected token as an ordinary authentication failure makes replay campaigns hard to distinguish from bad credentials. Use a stable internal category, rate-limit noisy sources, and retain enough metadata to investigate timing races without retaining token material.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.When is burning each request worth the cost?
Choose single-use request tokens when a duplicate action could cause financial loss, an irreversible state change, privilege escalation, or a safety issue, and when the organization can run strongly consistent replay state. The design is less attractive for high-volume reads, intermittently connected clients, or globally distributed services that cannot guarantee coordination.
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- Classify the consequence of one duplicate request.
- Determine whether clients can send an idempotency key and recover status after a timeout.
- Measure whether a shared claim store can meet the endpoint’s latency and availability objectives.
- Decide whether sender constraining plus short-lived, scoped tokens provides sufficient protection with less state.
- Define fail-open or fail-closed behavior and test it during dependency outages.
For a mixed API, apply different policies by operation. A reusable, short-lived token may serve reads, while a one-time token protects a transfer, password reset completion, or destructive administrative action.
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How is this different from an OAuth authorization code?
An authorization code is already standardized as short-lived and single-use. RFC 6749 Section 10.5 states: “Authorization codes MUST be short lived and single-use.” The code is exchanged at the authorization server for tokens; it is not normally presented to every resource endpoint.
Ordinary OAuth access tokens are generally reusable bearer credentials until expiration. Burning a token for each resource request therefore adds a new consumption protocol, replay store, and client recovery path. It should be documented as an explicit API contract rather than assumed from the use of OAuth alone.
What should the API contract document?
Clients need more than an authentication header example. Document the token’s audience and scope, maximum lifetime, whether validation failures consume it, the exact replay error category, the replacement-token mechanism, idempotency-key rules, status-query procedure, and behavior during claim-store outages. Also state whether a successful response includes a new credential and whether that credential is valid for one operation or a defined set of calls.
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Those details let SDK authors implement safe retries instead of replaying a spent credential, and they let operators distinguish a malicious race from a normal network failure.
Frequently Asked Questions
Can a one-time API token be used for a read request and then reused for another read?
Not under a strict consume-once contract. The first accepted request spends the identifier regardless of whether the endpoint is read-only; use a reusable short-lived token for ordinary reads when that behavior is more practical.
What HTTP status should an API return for a burned token?
The protocol should define a stable replay category and document its status mapping rather than treating it as an indistinguishable authentication failure. Clients should use that category to stop retrying the credential and switch to operation-status or fresh-credential recovery.
Does hashing the token in the replay database make a leaked token safe?
Hashing protects the stored record if the database is exposed, but it does not protect a token stolen before first use. TLS, secure client storage, short expiry, narrow audience and scope, and sender-constraining remain necessary.
Can a server issue the replacement token before processing the request?
It can, but a failed operation may leave an unused replacement that complicates accounting and recovery. Issuing after a durable result is clearer; whichever ordering you choose, specify it and provide a status path for lost responses.
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