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To detect refresh-token reuse with Redis, store each token’s authorization-grant family and make refresh and revocation decisions atomically. A basic sequence that reads a token, deletes it, and writes a replacement is not enough: it does not by itself preserve the token lineage needed to identify a replay or prevent concurrent refreshes from racing.
For public OAuth clients, RFC 9700 requires refresh tokens to be sender-constrained or rotated. This guide focuses on rotation, the state a Redis-backed authorization server must retain, and the trade-offs to resolve before deployment.
What refresh-token reuse detection must do
In rotation, every successful refresh returns a new refresh token and invalidates the one presented. The authorization server retains the relationship between successive tokens. If an invalidated token is later presented, that is a replay signal: the server looks up the associated grant or token family and revokes its active refresh token. RFC 9700, the IETF’s OAuth 2.0 Security Best Current Practice published in January 2025, describes this behavior in Section 4.14.
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This matters because a stolen refresh token can be used to mint access tokens and act for the resource owner. Reuse detection is one part of protecting that credential; it does not make the token safe to expose.
Choose between rotation and sender constraint
RFC 9700 identifies two approaches public clients must use for refresh-token replay protection: rotation or sender-constraining. The choice affects what the server must retain and what happens when a token is presented under suspicious circumstances.
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| Approach | Client-instance binding | Server-side state and replay response | Implementation consideration |
|---|---|---|---|
| Refresh-token rotation | The token is not, by rotation alone, bound to a particular client instance. | The server retains token relationships. Reuse of an invalidated token signals replay and leads to revocation of the active refresh token associated with the grant. | Requires family tracking and coordinated, atomic state transitions. |
| Sender-constrained refresh token | The token is bound to a client-held key or other sender credential. RFC 9700 gives mutual TLS and DPoP as examples. | Replay detection relies on the sender constraint rather than detecting reuse through a rotated-token family. | Requires the client and authorization server to support and validate the chosen sender-constraining mechanism. |
Neither approach eliminates the need to protect credentials and enforce the authorization grant’s limits. RFC 9700 calls for confidentiality in transit and storage, client binding and authentication where possible, and binding refresh tokens to the scope and resource servers authorized by the user. It also says refresh tokens should expire after a period of client inactivity; the authorization server determines the appropriate period. See RFC 9700, Sections 4.14.1–4.14.2.
What Redis must remember
A family-aware design needs enough state to answer three questions whenever a refresh token arrives:
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- Which authorization grant or token family does this token belong to?
- Is this token the family’s currently active refresh token, or has it already been invalidated?
- If an invalidated token reappears, which active token or grant must be revoked?
One possible data model is a token record that maps a token identifier to its grant identifier and status, plus a grant or family record that identifies the currently active token and whether the family has been revoked. The exact Redis keys and value formats are implementation choices, not a protocol prescription. What matters is preserving the old-token-to-family relationship long enough to recognize a replay and locate the active credential that must be revoked.
Do not discard all evidence of an invalidated token as soon as it is replaced. If its mapping disappears while a replay can still occur, the server may no longer be able to associate that old token with its family. Expiration policy therefore needs to account for both credential lifetime and the period during which old-token reuse must remain detectable.
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Make refresh and revocation atomic
A refresh is a state transition: the presented token is current, a replacement becomes current, and the old token becomes invalid. Treat that transition as one atomic decision for the deployment. Likewise, when an invalidated token is presented, make the decision to revoke its family atomic with respect to refreshes already in progress. Otherwise, concurrent requests can observe conflicting state—for example, a refresh may issue a replacement while another request is processing a replay signal.
Redis’s SET command supports the NX option, which writes a key only if it does not already exist. That can help with conditional state changes, but SET NX alone does not provide token-family lookup, rotation, or family revocation. See the Redis SET documentation.
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Choose an atomic strategy appropriate to your Redis deployment and client library, and verify how it behaves across clustered nodes, replication, and failover. The relevant security property is that requests use and update the currently valid refresh token consistently. RFC 6819’s historical threat-model guidance specifically flags this concern for clustered environments; RFC 6819 is useful context, while RFC 9700 is the current best-practice source.
Why the basic Redis rotation example is not replay detection
Redis’s tutorial shows a simple lifecycle using SET ... EX for expiry and a refresh flow that reads the old token, deletes it, then creates a replacement. That illustrates storage and basic rotation, but it does not establish token-family tracking or a concurrency-safe replay response. See Redis’s authentication-token tutorial.
A sequential GET, DEL, SET flow leaves important security behavior unanswered: whether the old token’s family mapping survives, what happens when two refreshes arrive together, and whether family revocation wins against a concurrent refresh. Do not present that sequence as a complete or tested implementation of OAuth replay detection.
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- Associate every refresh token with the authorization grant or family it belongs to.
- Retain enough state for an invalidated token to identify the family and its active credential.
- Make replacement of the current token and invalidation of the old token a single atomic transition.
- Make family revocation atomic with respect to concurrent refresh requests.
- Define how your Redis topology, replication, failover, and client library preserve the required visibility and ordering.
- Set expiry rules for active credentials and retained replay-detection state; configure inactivity expiration for refresh tokens.
- Protect tokens in transit and storage, bind them to the authorized scope and resource servers, and apply client binding or authentication where possible.
- Plan for legitimate users to reauthorize after a replay signal, because the server cannot distinguish the legitimate client from an attacker presenting the old token.
Redis provides storage primitives, not an OAuth security guarantee. The implementation is only as sound as its family model, atomic transitions, expiry rules, and consistency behavior.
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