Okta SSO (Preview)

This package provides a preview parser for Okta events in JSON format. The parser normalizes data to a common schema based on an OpenTelemetry standard.

This schema allows you to search the data without knowing Okta's data specifically. It also enables you to combine the data more easily with other data sources which conform to the same schema.

Preview Status

Note that this package is considered a PREVIEW. This means we are seeking feedback on the package, and may make breaking changes to the parser in the future. It means also it may not include all documentation which usually we publish for packages.

Installing the Package in LogScale

Find the repository where you want to send the Okta events, or create a new one.

  1. Navigate to your repository in the LogScale interface, click Settings and then Packages on the left.

  2. Click Marketplace and install the LogScale package for Okta SSO (i.e. okta/sso).

  3. When the package has finished installing, click Ingest tokens on the left (still under the Settings, see Figure 52, “Ingest Token”). See Ingest Tokens for more information on ingest tokens.

  4. In the right panel, click + Add Token to create a new token. Give the token an appropriate name (e.g. the name of the server the token is ingesting logs for), and assign the okta-sso parser to it or leave the parser unassigned if you intend to assign the parser separately, for example during the LogScale Collector configuration phase.

    Ingest token

    Figure 52. Ingest Token

    Before leaving this page, view the ingest token and copy it to your clipboard — to save it temporarily elsewhere.

  5. Now that you have a repository set up in LogScale along with an ingest token you're ready to send logs to LogScale.

Configurations and sending the logs to LogScale

First you need to configure the Okta Log Streaming™ to send the events to AWS EventBridge™. For that, in the OKTA Administration Console navigate to Reports then Log Streaming where you will be given an option to add feeds. Configure a feed to send all Okta events to Falcon LogScale.


Figure 53. Feeds

  1. To complete the Log Stream configuration specify the event source name and AWS details, like; AWS account id and region:

    AWS EventBridge

    Figure 54. AWS EventBridge

  2. Once you've completed the configuration in Okta, login to the AWS Console to verify that the feed was created. Navigate to Amazon EventBridge™ and click Partner Event Source to see details. As shown in the screen-shot below the feed was successfully created:

    Partner event sources

    Figure 55. Partner event sources

  3. In the next step we will configure the aws.partner/okta.com/crowdstrike-nfr/OktaLogsEB Partner Event Source to send all Okta log events to the LogScale. Click Rules in the left navigation panel of the Amazon EventBridge™.


    Figure 56. Rules

  4. Create a Rule for our Event bus and name it. In the Event pattern tab, add the JSON formatted Event Pattern matching Okta Log Stream events for all events:

    {  "source": [{"prefix": "aws.partner/okta.com"}],  }
  5. Click here to read more about event patterns.

    Event patterns

    Figure 57. Event patterns

  6. The final step is to configure the API destination for the LogScale cluster. Click on the Create API destination button under the API Destinations of the Amazon EventBridge™.


    • Name, for example: LogScaleSACluster

    • API destination endpoint in format https://<your-logscale-cluster>/api/v1/ingest/raw/<ingest-token>

      Where: <your-logscale-cluster> needs to be a valid FQDN of your LogScale instance and <ingest-token> is Ingest Tokens the assigned to the okta-sso parser.

      For example: https://sa-cluster.humio-support.com/api/v1/ingest/raw/4264f1f1-919f-4eed-a53d-1234567

    • HTTP method - select POST

    • Connection, select create a new one where you must:

      • Insert a name which helps you to identify the connection.

      • Set the authorization type to API Key and paste the ingest token for your repository, see Ingest Tokens for more information on ingest tokens.

      Create Connection

      Figure 58. Create Connection

      Create Connection Details

      Figure 59. Create Connection Details

  7. Set the Target of your Rule to the API Destination of your LogScale instance

    Okta Logs EB

    Figure 60. Okta Logs EB

Verify Data is Arriving in LogScale

Once you have completed the above steps the Okta SSO data should be arriving in your LogScale repository.

You can verify this by doing a simple search for Vendor = "okta" | Product = "sso" to see the events.

Package Contents Explained

This package is only for parsing incoming data, and normalizing the data as part of that parsing. The parser normalizes the data to a subset of this schema based on OpenTelemetry standards, while still preserving the original data.

If you want to search using the original field names and values, you can access those in the fields whose names are prefixed with the word "Vendor". Fields which are not prefixed with "Vendor" are standard fields which are either based on the schema (e.g. source.ip) or on LogScale conventions (e.g. @rawstring).

The fields which the parser currently maps the data to, are chosen based on what seems the most relevant, and will potentially be expanded in the future. But the parser won't necessarily normalize every field that has potential to be normalized.

Event Categorisation

As part of the schema, events are categorized by four different fields:

  • event.category

  • event.type

  • event.kind

  • #event.outcome

(#event.outcome is a tag, hence the "#")

event.kind and #event.outcome can be searched as normal fields, but event.category and event.type are arrays, so need to be searched like so:

array:contains("event.category[]", value="api")

This will find events where some event.category[n] field contains the value api, regardless of what n is.

Note that not all events will be categorized to this level of detail.

Normalized Fields

Here are some of the normalized fields which are being set by this parser:

  • user.* (e.g. user.name, use.target.full_name)

  • source.* (e.g. source.domain)

  • client.* (e.g. client.geo.city_name, client.domain)

Next Steps and Use Cases

You can get actionable insights from your Okta data by hunting for suspicious activity in LogScale using the search UI, dashboards or alerts.

Some specific example of suspicious activity is admin activity from multiple IP addresses within a few hours or from unexpected ASN / IP ranges. Another thing to keep an eye on is Okta MFA disablement.

You can set up a table showing it using the following query:

#Vendor = "okta"
| Product = "sso"
| IN(field=event.action, values=["user.mfa.factor.deactivate", system.mfa.factor.deactivate, user.mfa.factor.reset_all, user.mfa.factor.suspend])
| groupBy([user.name], function=([max(@timestamp, as=latest), min(@timestamp, as=earliest), collect([Vendor.outcome.reason, user.target.name, event.action, client.as.organization.name, client.ip, Vendor.displayMessage, user_agent.original]), count(user.name, as=count)]))
| formatTime("%Y/%m/%d %H:%M:%S", as=earliest, field=earliest, locale=en_US, timezone=Z)
| formatTime("%Y/%m/%d %H:%M:%S", as=latest, field=latest, locale=en_US, timezone=Z)
| format(format="%s %s", field=[client.ip, user.name], as="throttle")
| table([user.name, user.target.name, client.ip, user_agent.original, earliest, latest, Vendor.displayMessage, event.action, Vendor.outcome.reason, count, client.as.organization.name])

Also try

#Vendor = "okta"
| Product = "sso"
| (event.action = "core.user.impersonation.session.initiated" OR Vendor.legacyEventType="core.user.impersonation.session.initiated")
| NOT (user.name = *your_custom_domain_here)
| groupBy([source.user.name, user.target.name, Vendor.displayMessage, Vendor.authenticationContext.externalSessionId, @timestamp ])
| rename(Vendor.authenticationContext.externalSessionId, as=sessionID)