Built-in users

The Elastic Stack security features provide built-in user credentials to help you get up and running. These users have a fixed set of privileges and cannot be authenticated until their passwords have been set. The elastic user can be used to set all of the built-in user passwords.

These built-in users are stored in a special .security index, which is managed by Elasticsearch. If a built-in user is disabled or its password changes, the change is automatically reflected on each node in the cluster. If your .security index is deleted or restored from a snapshot, however, any changes you have applied are lost.

Although they share the same API, the built-in users are separate and distinct from users managed by the native realm. Disabling the native realm will not have any effect on the built-in users. The built-in users can be disabled individually, using the disable users API.

When you install Elasticsearch, if the elastic user does not already have a password, it uses a default bootstrap password. The bootstrap password is a transient password that enables you to run the tools that set all the built-in user passwords.

By default, the bootstrap password is derived from a randomized keystore.seed setting, which is added to the keystore during installation. You do not need to know or change this bootstrap password. If you have defined a bootstrap.password setting in the keystore, however, that value is used instead. For more information about interacting with the keystore, see Secure Settings.

You must set the passwords for all built-in users.

The elasticsearch-setup-passwords tool is the simplest method to set the built-in users' passwords for the first time. It uses the elastic user’s bootstrap password to run user management API requests. For example, you can run the command in an "interactive" mode, which prompts you to enter new passwords for the elastic, kibana, logstash_system, beats_system, apm_system, and remote_monitoring_user users:

bin/elasticsearch-setup-passwords interactive

For more information about the command options, see elasticsearch-setup-passwords.

Alternatively, you can set the initial passwords for the built-in users by using the Management > Users page in Kibana or the Change Password API. These methods are more complex. You must supply the elastic user and its bootstrap password to log into Kibana or run the API. This requirement means that you cannot use the default bootstrap password that is derived from the keystore.seed setting. Instead, you must explicitly set a bootstrap.password setting in the keystore before you start Elasticsearch. For example, the following command prompts you to enter a new bootstrap password:

bin/elasticsearch-keystore add "bootstrap.password"

You can then start Elasticsearch and Kibana and use the elastic user and bootstrap password to log into Kibana and change the passwords. Alternatively, you can submit Change Password API requests for each built-in user. These methods are better suited for changing your passwords after the initial setup is complete, since at that point the bootstrap password is no longer required.

After the kibana user password is set, you need to update the Kibana server with the new password by setting elasticsearch.password in the kibana.yml configuration file:

elasticsearch.password: kibanapassword

See Configuring security in Kibana.

The logstash_system user is used internally within Logstash when monitoring is enabled for Logstash.

To enable this feature in Logstash, you need to update the Logstash configuration with the new password by setting xpack.monitoring.elasticsearch.password in the logstash.yml configuration file:

xpack.monitoring.elasticsearch.password: logstashpassword

If you have upgraded from an older version of Elasticsearch, the logstash_system user may have defaulted to disabled for security reasons. Once the password has been changed, you can enable the user via the following API call:

PUT _security/user/logstash_system/_enable

See Configuring credentials for Logstash monitoring.

The beats_system user is used internally within Beats when monitoring is enabled for Beats.

To enable this feature in Beats, you need to update the configuration for each of your beats to reference the correct username and password. For example:

xpack.monitoring.elasticsearch.username: beats_system
xpack.monitoring.elasticsearch.password: beatspassword

For example, see Monitoring Metricbeat.

The remote_monitoring_user is used when Metricbeat collects and stores monitoring data for the Elastic Stack. See Monitoring in a production environment.

If you have upgraded from an older version of Elasticsearch, then you may not have set a password for the beats_system or remote_monitoring_user users. If this is the case, then you should use the Management > Users page in Kibana or the Change Password API to set a password for these users.

The apm_system user is used internally within APM when monitoring is enabled.

To enable this feature in APM, you need to update the APM configuration file to reference the correct username and password. For example:

xpack.monitoring.elasticsearch.username: apm_system
xpack.monitoring.elasticsearch.password: apmserverpassword

See Monitoring APM Server.

If you have upgraded from an older version of Elasticsearch, then you may not have set a password for the apm_system user. If this is the case, then you should use the Management > Users page in Kibana or the Change Password API to set a password for these users.