JWT authentication

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This functionality is in beta and is subject to change. The design and code is less mature than official GA features and is being provided as-is with no warranties. Beta features are not subject to the support SLA of official GA features.

Elasticsearch can be configured to trust JSON Web Tokens (JWTs) issued from an external service as bearer tokens for authentication.

When a JWT realm is used to authenticate with Elasticsearch, a distinction is made between the client that is connecting to Elasticsearch, and the user on whose behalf the request should run. The JWT authenticates the user, and a separate credential authenticates the client.

The JWT realm supports two token types, id_token (the default) and access_token. They are designed to work for the following two scenarios, respectively:

  1. id_token - An application authenticates and identifies a user with an authentication flow, e.g. OpenID Connect (OIDC), and then accesses Elasticsearch on behalf of the authenticated user using a JSON Web Token (JWT) conforming to OIDC ID Token specification.
  2. access_token - An application accesses Elasticsearch using its own identity, encoded as a JWT, e.g. The application authenticates itself to a central identity platform using an OAuth2 Client Credentials Flow and then uses the resulting JWT-based access token to connect to Elasticsearch.

A single JWT realm can only work with a single token type. To handle both token types, you must configure at least two JWT realms. You should choose the token type carefully based on the use case because it impacts on how validations are performed.

The JWT realm validates the incoming JWT based on its configured token type. JSON Web Tokens (JWT) of both types must contain the following 5 pieces of information. While ID Tokens, based on the OIDC specification, have strict rules for what claims should provide these information, access tokens allow some claims to be configurable.

Claims

Information

ID Token

Access Token

Issuer

iss

iss

Subject

sub

Defaults to sub, but can fall back to another claim if sub does not exist

Audiences

aud

Defaults to aud, but can fall back to another claim if aud does not exist

Issue Time

iat

iat

Expiration Time

exp

exp

In addition, Elasticsearch also validates nbf and auth_time claims for ID Tokens if these claims are present. But these claims are ignored for access tokens.

Overall, the access token type has more relaxed validation rules and is suitable for more generic JWTs, including self-signed ones.

ID Tokens from OIDC workflows

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JWT authentication in Elasticsearch is derived from OIDC user workflows, where different tokens can be issued by an OIDC Provider (OP), including ID Tokens. ID Tokens from an OIDC provider are well-defined JSON Web Tokens (JWT) and should be always compatible with a JWT realm of the id_token token type. The subject claim of an ID token represents the end-user. This means that ID tokens will generally have many allowed subjects. Therefore, a JWT realm of id_token token type does not mandate the allowed_subjects validation.

Because JWTs are obtained external to Elasticsearch, you can define a custom workflow instead of using the OIDC workflow. However, the JWT format must still be JSON Web Signature (JWS). The JWS header and JWS signature are validated using OIDC ID token validation rules.

Elasticsearch supports a separate OpenID Connect realm. It is preferred for any use case where Elasticsearch can act as an OIDC RP. The OIDC realm is the only supported way to enable OIDC authentication in Kibana.

Users authenticating with a JWT realm can optionally impersonate another user with the run_as feature. See also Applying the run_as privilege to JWT realm users.

Access Tokens

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A common method to obtain access tokens is with the OAuth2 Client Credentials Flow. A typical usage of this flow is for an application to get a credential for itself. This is the use case that the access_token token type is designed for. It is likely that this application also obtains ID Tokens for its end-users. To prevent end-user ID Tokens being used to authenticate with the JWT realm configured for the application, we mandate allowed_subjects validation when a JWT realm has token type access_token.

Not every access token is formatted as a JSON Web Token (JWT). For it to be compatible with the JWT realm, it must at least use the JWT format and satisfies relevant requirements in the above table.

Configure Elasticsearch to use a JWT realm

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To use JWT authentication, create the realm in the elasticsearch.yml file to configure it within the Elasticsearch authentication chain.

The JWT realm has a few mandatory settings, plus optional settings that are described in JWT realm settings.

Client authentication is enabled by default for the JWT realms. Disabling client authentication is possible, but strongly discouraged.

  1. Add your JWT realm to the elasticsearch.yml file. The following example includes the most common settings, which are not intended for every use case:

    xpack.security.authc.realms.jwt.jwt1:
      order: 3
      token_type: id_token
      client_authentication.type: shared_secret
      allowed_issuer: "https://issuer.example.com/jwt/"
      allowed_audiences: [ "8fb85eba-979c-496c-8ae2-a57fde3f12d0" ]
      allowed_signature_algorithms: [RS256,HS256]
      pkc_jwkset_path: jwt/jwkset.json
      claims.principal: sub
    order
    Specifies a realm order of 3, which indicates the order in which the configured realm is checked when authenticating a user. Realms are consulted in ascending order, where the realm with the lowest order value is consulted first.
    token_type
    Instructs the realm to treat and validate incoming JWTs as ID Tokens (id_token).
    client_authentication.type
    Specifies the client authentication type as shared_secret, which means that the client is authenticated using an HTTP request header that must match a pre-configured secret value. The client must provide this shared secret with every request in the ES-Client-Authentication header. The header value must be a case-sensitive match to the realm’s client_authentication.shared_secret.
    allowed_issuer
    Sets a verifiable identifier for your JWT issuer. This value is typically a URL, UUID, or some other case-sensitive string value.
    allowed_audiences
    Specifies a list of JWT audiences that the realm will allow. These values are typically URLs, UUIDs, or other case-sensitive string values.
    allowed_signature_algorithms
    Indicates that Elasticsearch should use the RS256 or HS256 signature algorithms to verify the signature of the JWT from the JWT issuer.
    pkc_jwkset_path
    The file path to a JSON Web Key Set (JWKS) containing the public key material that the JWT realm uses to verify JWT signatures. If a path is provided, then it is resolved relative to the Elasticsearch configuration directory. In Elastic Cloud, use an absolute path starting with /app/config/.
    claims.principal
    The name of the JWT claim that contains the user’s principal (username).

    The following is an example snippet for configure a JWT realm for handling access tokens:

    xpack.security.authc.realms.jwt.jwt2:
      order: 4
      token_type: access_token
      client_authentication.type: shared_secret
      allowed_issuer: "https://issuer.example.com/jwt/"
      allowed_subjects: [ "123456-compute@developer.example.com" ]
      allowed_audiences: [ "elasticsearch" ]
      required_claims:
        token_use: access
        version: ["1.0", "2.0"]
      allowed_signature_algorithms: [RS256,HS256]
      pkc_jwkset_path: "https://idp-42.example.com/.well-known/configuration"
      fallback_claims.sub: client_id
      fallback_claims.aud: scope
      claims.principal: sub
    token_type
    Instructs the realm to treat and validate incoming JWTs as access tokens (access_token).
    allowed_subjects
    Specifies a list of JWT subjects that the realm will allow. These values are typically URLs, UUIDs, or other case-sensitive string values.

    This setting is mandatory for when token_type is access_token.

    required_claims
    Specifies a list of key/value pairs for additional verifications to be performed against a JWT. The values are either a string or an array of strings.
    fallback_claims.sub
    The name of the JWT claim to extract the subject information if the sub claim does not exist. This setting is only available when token_type is access_token. The fallback is applied everywhere the sub claim is used. In the above snippet, it means the claims.principal will also fallback to client_id if sub does not exist.
    fallback_claims.aud
    The name of the JWT claim to extract the audiences information if the aud claim does not exist. This setting is only available when token_type is access_token. The fallback is applied everywhere the aud claim is used.
  2. After defining settings, use the elasticsearch-keystore tool to store values for secure settings in the Elasticsearch keystore.

    1. Store the shared_secret value for client_authentication.type:

      bin/elasticsearch-keystore add xpack.security.authc.realms.jwt.jwt1.client_authentication.shared_secret
    2. Store the HMAC keys for allowed_signature_algorithms, which use the HMAC SHA-256 algorithm HS256 in the example:

      bin/elasticsearch-keystore add-file xpack.security.authc.realms.jwt.jwt1.hmac_jwkset <path> 

      Path to a JWKS, which is a resource for a set of JSON-encoded secret keys. The file can be removed after you load the contents into the Elasticsearch keystore.

      Using the JWKS is preferred. However, you can add an HMAC key in string format using the following command. This format is compatible with HMAC UTF-8 keys, but only supports a single key with no attributes. You can only use one HMAC format (either hmac_jwkset or hmac_key) simultaneously.

      bin/elasticsearch-keystore add xpack.security.authc.realms.jwt.jwt1.hmac_key

JWT encoding and validation

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JWTs can be parsed into three pieces:

Header
Provides information about how to validate the token.
Claims
Contains data about the calling user or application.
Signature
The data that’s used to validate the token.
Header: {"typ":"JWT","alg":"HS256"}
Claims: {"aud":"aud8","sub":"security_test_user","iss":"iss8","exp":4070908800,"iat":946684800}
Signature: UnnFmsoFKfNmKMsVoDQmKI_3-j95PCaKdgqqau3jPMY

This example illustrates a partial decoding of a JWT. The validity period is from 2000 to 2099 (inclusive), as defined by the issue time (iat) and expiration time (exp). JWTs typically have a validity period shorter than 100 years, such as 1-2 hours or 1-7 days, not an entire human life.

The signature in this example is deterministic because the header, claims, and HMAC key are fixed. JWTs typically have a nonce claim to make the signature non-deterministic. The supported JWT encoding is JSON Web Signature (JWS), and the JWS Header and Signature are validated using OpenID Connect ID Token validation rules. Some validation is customizable through JWT realm settings.

Header claims

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The header claims indicate the token type and the algorithm used to sign the token.

alg
(Required, String) Indicates the algorithm that was used to sign the token, such as HS256. The algorithm must be in the realm’s allow list.
typ
(Optional, String) Indicates the token type, which must be JWT.

Payload claims

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Tokens contain several claims, which provide information about the user who is issuing the token, and the token itself. Depending on the token type, these information can optionally be identified by different claims.

JWT payload claims
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The following claims are validated by a subset of OIDC ID token rules.

Elasticsearch doesn’t validate nonce claims, but a custom JWT issuer can add a random nonce claim to introduce entropy into the signature.

You can relax validation of any of the time-based claims by setting allowed_clock_skew. This value sets the maximum allowed clock skew before validating JWTs with respect to their authentication time (auth_time), creation (iat), not before (nbf), and expiration times (exp).

iss
(Required, String) Denotes the issuer that created the ID token. The value must be an exact, case-sensitive match to the value in the allowed_issuer setting.
sub
(Required*, String) Indicates the subject that the ID token is created for. If the JWT realm is of the id_token type, this claim is mandatory. A JWT realm of the id_token type by defaults accepts all subjects. A JWT realm of the access_token type must specify the allowed_subjects setting and the subject value must be an exact, case-sensitive match to any of the CSV values in the allowed_subjects setting. A JWT realm of the access_token type can specify a fallback claim that will be used in place where the sub claim does not exist.
aud
(Required*, String) Indicates the audiences that the ID token is for, expressed as a comma-separated value (CSV). One of the values must be an exact, case-sensitive match to any of the CSV values in the allowed_audiences setting. If the JWT realm is of the id_token type, this claim is mandatory. A JWT realm of the access_token type can specify a fallback claim that will be used in place where the aud claim does not exist.
exp
(Required, integer) Expiration time for the ID token, expressed in UTC seconds since epoch.
iat
(Required, integer) Time that the ID token was issued, expressed in UTC seconds since epoch.
nbf
(Optional, integer) Indicates the time before which the JWT must not be accepted, expressed as UTC seconds since epoch. This claim is optional. If it exists, a JWT realm of id_token type will verify it, while a JWT realm of access_token will just ignore it.
auth_time
(Optional, integer) Time when the user authenticated to the JWT issuer, expressed as UTC seconds since epoch. This claim is optional. If it exists, a JWT realm of id_token type will verify it, while a JWT realm of access_token will just ignore it.
Elasticsearch settings for consuming JWT claims
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Elasticsearch uses JWT claims for the following settings.

principal
(Required, String) Contains the user’s principal (username). The value is configurable using the realm setting claims.principal. If not set, the value defaults to sub. You can configure an optional regular expression using the claims.principal_pattern to extract a substring.
groups
(Optional, JSON array) Contains the user’s group membership. The value is configurable using the realm setting claims.groups. You can configure an optional regular expression using the realm setting claims.groups_pattern to extract a substring value.
name
(Optional, String) Contains a human-readable identifier that identifies the subject of the token. The value is configurable using the realm setting claims.name. You can configure an optional regular expression using the realm setting claims.name_pattern to extract a substring value.
mail
(Optional, String) Contains the e-mail address to associate with the user. The value is configurable using the realm setting claims.mail. You can configure an optional regular expression using the realm setting claims.mail_pattern to extract a substring value.
dn
(Optional, String) Contains the user’s Distinguished Name (DN), which uniquely identifies a user or group. The value is configurable using the realm setting claims.dn. You can configure an optional regular expression using the realm setting claims.dn_pattern to extract a substring value.

JWT realm authorization

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The JWT realm supports authorization with the create or update role mappings API, or delegating authorization to another realm. You cannot use these methods simultaneously, so choose whichever works best for your environment.

You cannot map roles in the JWT realm using the role_mapping.yml file.

Authorizing with the role mapping API

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You can use the create or update role mappings API to define role mappings that determine which roles should be assigned to each user based on their username, groups, or other metadata.

PUT /_security/role_mapping/jwt1_users?refresh=true
{
  "roles" : [ "user" ],
  "rules" : { "all" : [
      { "field": { "realm.name": "jwt1" } },
      { "field": { "username": "principalname1" } },
      { "field": { "dn": "CN=Principal Name 1,DC=example.com" } },
      { "field": { "groups": "group1" } },
      { "field": { "metadata.jwt_claim_other": "other1" } }
  ] },
  "enabled": true
}

If you use this API in the JWT realm, the following claims are available for role mapping:

principal
(Required, String) Principal claim that is used as the Elasticsearch user’s username.
dn
(Optional, String) Distinguished Name (DN) that is used as the Elasticsearch user’s DN.
groups
(Optional, String) Comma-separated value (CSV) list that is used as the Elasticsearch user’s list of groups.
metadata
(Optional, object) Additional metadata about the user, such as strings, integers, boolean values, and collections that are used as the Elasticsearch user’s metadata. These values are key value pairs formatted as metadata.jwt_claim_<key> = <value>.

Delegating JWT authorization to another realm

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If you delegate authorization to other realms from the JWT realm, only the principal claim is available for role lookup. When delegating the assignment and lookup of roles to another realm from the JWT realm, claims for dn, groups, mail, metadata, and name are not used for the Elasticsearch user’s values. Only the JWT principal claim is passed to the delegated authorization realms. The realms that are delegated for authorization - not the JWT realm - become responsible for populating all of the Elasticsearch user’s values.

The following example shows how you define delegation authorization in the elasticsearch.yml file to multiple other realms from the JWT realm. A JWT realm named jwt2 is delegating authorization to multiple realms:

xpack.security.authc.realms.jwt.jwt2.authorization_realms: file1,native1,ldap1,ad1

You can then use the create or update role mappings API to map roles to the authorizing realm. The following example maps roles in the native1 realm for the principalname1 JWT principal.

PUT /_security/role_mapping/native1_users?refresh=true
{
  "roles" : [ "user" ],
  "rules" : { "all" : [
      { "field": { "realm.name": "native1" } },
      { "field": { "username": "principalname1" } }
  ] },
  "enabled": true
}

If realm jwt2 successfully authenticates a client with a JWT for principal principalname1, and delegates authorization to one of the listed realms (such as native1), then that realm can look up the Elasticsearch user’s values. With this defined role mapping, the realm can also look up this role mapping rule linked to realm native1.

Applying the run_as privilege to JWT realm users

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Elasticsearch can retrieve roles for a JWT user through either role mapping or delegated authorization. Regardless of which option you choose, you can apply the run_as privilege to a role so that a user can submit authenticated requests to "run as" a different user. To submit requests as another user, include the es-security-runas-user header in your requests. Requests run as if they were issued from that user and Elasticsearch uses their roles.

For example, let’s assume that there’s a user with the username user123_runas. The following request creates a user role named jwt_role1, which specifies a run_as user with the user123_runas username. Any user with the jwt_role1 role can issue requests as the specified run_as user.

POST /_security/role/jwt_role1?refresh=true
{
  "cluster": ["manage"],
  "indices": [ { "names": [ "*" ], "privileges": ["read"] } ],
  "run_as": [ "user123_runas" ],
  "metadata" : { "version" : 1 }
}

You can then map that role to a user in a specific realm. The following request maps the jwt_role1 role to a user with the username user2 in the jwt2 JWT realm. This means that Elasticsearch will use the jwt2 realm to authenticate the user named user2. Because user2 has a role (the jwt_role1 role) that includes the run_as privilege, Elasticsearch retrieves the role mappings for the user123_runas user and uses the roles for that user to submit requests.

POST /_security/role_mapping/jwt_user1?refresh=true
{
  "roles": [ "jwt_role1"],
  "rules" : { "all" : [
      { "field": { "realm.name": "jwt2" } },
      { "field": { "username": "user2" } }
  ] },
  "enabled": true,
  "metadata" : { "version" : 1 }
}

After mapping the roles, you can make an authenticated call to Elasticsearch using a JWT and include the ES-Client-Authentication header:

curl -s -X GET -H "Authorization: Bearer eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJhdWQiOlsiZXMwMSIsImVzMDIiLCJlczAzIl0sInN1YiI6InVzZXIyIiwiaXNzIjoibXktaXNzdWVyIiwiZXhwIjo0MDcwOTA4ODAwLCJpYXQiOjk0NjY4NDgwMCwiZW1haWwiOiJ1c2VyMkBzb21ldGhpbmcuZXhhbXBsZS5jb20ifQ.UgO_9w--EoRyUKcWM5xh9SimTfMzl1aVu6ZBsRWhxQA" -H "ES-Client-Authentication: sharedsecret test-secret" https://localhost:9200/_security/_authenticate

The response includes the user who submitted the request (user2), including the jwt_role1 role that you mapped to this user in the JWT realm:

{"username":"user2","roles":["jwt_role1"],"full_name":null,"email":"user2@something.example.com",
"metadata":{"jwt_claim_email":"user2@something.example.com","jwt_claim_aud":["es01","es02","es03"],
"jwt_claim_sub":"user2","jwt_claim_iss":"my-issuer"},"enabled":true,"authentication_realm":
{"name":"jwt2","type":"jwt"},"lookup_realm":{"name":"jwt2","type":"jwt"},"authentication_type":"realm"}
%

If you want to specify a request as the run_as user, include the the es-security-runas-user header with the name of the user that you want to submit requests as. The following request uses the user123_runas user:

curl -s -X GET -H "Authorization: Bearer eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJhdWQiOlsiZXMwMSIsImVzMDIiLCJlczAzIl0sInN1YiI6InVzZXIyIiwiaXNzIjoibXktaXNzdWVyIiwiZXhwIjo0MDcwOTA4ODAwLCJpYXQiOjk0NjY4NDgwMCwiZW1haWwiOiJ1c2VyMkBzb21ldGhpbmcuZXhhbXBsZS5jb20ifQ.UgO_9w--EoRyUKcWM5xh9SimTfMzl1aVu6ZBsRWhxQA" -H "ES-Client-Authentication: sharedsecret test-secret" -H "es-security-runas-user: user123_runas" https://localhost:9200/_security/_authenticate

In the response, you’ll see that the user123_runas user submitted the request, and Elasticsearch used the jwt_role1 role:

{"username":"user123_runas","roles":["jwt_role1"],"full_name":null,"email":null,"metadata":{},
"enabled":true,"authentication_realm":{"name":"jwt2","type":"jwt"},"lookup_realm":{"name":"native",
"type":"native"},"authentication_type":"realm"}%

PKC JWKS reloading

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JWT authentication supports signature verification using PKC (Public Key Cryptography) or HMAC algorithms.

PKC JSON Web Token Key Sets (JWKS) can contain public RSA and EC keys. HMAC JWKS or an HMAC UTF-8 JWK contain secret keys. JWT issuers typically rotate PKC JWKS more frequently (such as daily), because RSA and EC public keys are designed to be easier to distribute than secret keys like HMAC.

JWT realms load a PKC JWKS and an HMAC JWKS or HMAC UTF-8 JWK at startup. JWT realms can also reload PKC JWKS contents at runtime; a reload is triggered by signature validation failures.

HMAC JWKS or HMAC UTF-8 JWK reloading is not supported at this time.

Load failures, parse errors, and configuration errors prevent a node from starting (and restarting). However, runtime PKC reload errors and recoveries are handled gracefully.

All other JWT realm validations are checked before a signature failure can trigger a PKC JWKS reload. If multiple JWT authentication signature failures occur simultaneously with a single Elasticsearch node, reloads are combined to reduce the reloads that are sent externally.

Separate reload requests cannot be combined if JWT signature failures trigger:

  • PKC JWKS reloads in different Elasticsearch nodes
  • PKC JWKS reloads in the same Elasticsearch node at different times

Enabling client authentication (client_authentication.type) is strongly recommended. Only trusted client applications and realm-specific JWT users can trigger PKC reload attempts. Additionally, configuring the following JWT security settings is recommended:

  • allowed_audiences
  • allowed_clock_skew
  • allowed_issuer
  • allowed_signature_algorithms

Authorizing to the JWT realm with an HMAC UTF-8 key

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The following settings are for a JWT issuer, Elasticsearch, and a client of Elasticsearch. The example HMAC key is in an OIDC format that’s compatible with HMAC. The key bytes are the UTF-8 encoding of the UNICODE characters.

HMAC UTF-8 keys need to be longer than HMAC random byte keys to achieve the same key strength.

JWT issuer

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The following values are for the bespoke JWT issuer.

Issuer:     iss8
Audiences:  aud8
Algorithms: HS256
HMAC UTF-8: hmac-oidc-key-string-for-hs256-algorithm

JWT realm settings

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To define a JWT realm, add the following realm settings to elasticsearch.yml.

xpack.security.authc.realms.jwt.jwt8.order: 8 
xpack.security.authc.realms.jwt.jwt8.allowed_issuer: iss8
xpack.security.authc.realms.jwt.jwt8.allowed_audiences: [aud8]
xpack.security.authc.realms.jwt.jwt8.allowed_signature_algorithms: [HS256]
xpack.security.authc.realms.jwt.jwt8.claims.principal: sub
xpack.security.authc.realms.jwt.jwt8.client_authentication.type: shared_secret

In Elastic Cloud, the realm order starts at 2. 0 and 1 are reserved in the realm chain on Elastic Cloud.

JWT realm secure settings

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After defining the realm settings, use the elasticsearch-keystore tool to add the following secure settings to the Elasticsearch keystore. In Elastic Cloud, you define settings for the Elasticsearch keystore under Security in your deployment.

xpack.security.authc.realms.jwt.jwt8.hmac_key: hmac-oidc-key-string-for-hs256-algorithm
xpack.security.authc.realms.jwt.jwt8.client_authentication.shared_secret: client-shared-secret-string

JWT realm role mapping rule

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The following request creates role mappings for Elasticsearch in the jwt8 realm for the user principalname1:

PUT /_security/role_mapping/jwt8_users?refresh=true
{
  "roles" : [ "user" ],
  "rules" : { "all" : [
      { "field": { "realm.name": "jwt8" } },
      { "field": { "username": "principalname1" } }
  ] },
  "enabled": true
}

Request headers

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The following header settings are for an Elasticsearch client.

Authorization: Bearer eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpc3MiOiJpc3M4IiwiYXVkIjoiYXVkOCIsInN1YiI6InNlY3VyaXR5X3Rlc3RfdXNlciIsImV4cCI6NDA3MDkwODgwMCwiaWF0Ijo5NDY2ODQ4MDB9.UnnFmsoFKfNmKMsVoDQmKI_3-j95PCaKdgqqau3jPMY
ES-Client-Authentication: SharedSecret client-shared-secret-string

You can use this header in a curl request to make an authenticated call to Elasticsearch. Both the bearer token and the client authorization token must be specified as separate headers with the -H option:

curl -s -X GET -H "Authorization: Bearer eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpc3MiOiJpc3M4IiwiYXVkIjoiYXVkOCIsInN1YiI6InNlY3VyaXR5X3Rlc3RfdXNlciIsImV4cCI6NDA3MDkwODgwMCwiaWF0Ijo5NDY2ODQ4MDB9.UnnFmsoFKfNmKMsVoDQmKI_3-j95PCaKdgqqau3jPMY" -H "ES-Client-Authentication: SharedSecret client-shared-secret-string" https://localhost:9200/_security/_authenticate

If you used role mapping in the JWT realm, the response includes the user’s username, their roles, metadata about the user, and the details about the JWT realm itself.

{"username":"user2","roles":["jwt_role1"],"full_name":null,"email":"user2@something.example.com",
"metadata":{"jwt_claim_email":"user2@something.example.com","jwt_claim_aud":["es01","es02","es03"],
"jwt_claim_sub":"user2","jwt_claim_iss":"my-issuer"},"enabled":true,"authentication_realm":
{"name":"jwt2","type":"jwt"},"lookup_realm":{"name":"jwt2","type":"jwt"},"authentication_type":"realm"}