New Okta Authentication Behavior Detected
editNew Okta Authentication Behavior Detected
editDetects events where Okta behavior detection has identified a new authentication behavior.
Rule type: query
Rule indices:
- filebeat-*
- logs-okta*
Severity: medium
Risk score: 47
Runs every: 15m
Searches indices from: now-30m (Date Math format, see also Additional look-back time
)
Maximum alerts per execution: 100
References:
- https://www.elastic.co/security-labs/testing-okta-visibility-and-detection-dorothy
- https://sec.okta.com/articles/2023/08/cross-tenant-impersonation-prevention-and-detection
- https://unit42.paloaltonetworks.com/muddled-libra/
- https://help.okta.com/oie/en-us/content/topics/security/behavior-detection/about-behavior-detection.htm
- https://www.elastic.co/security-labs/monitoring-okta-threats-with-elastic-security
- https://www.elastic.co/security-labs/starter-guide-to-understanding-okta
Tags:
- Use Case: Identity and Access Audit
- Tactic: Initial Access
- Data Source: Okta
Version: 106
Rule authors:
- Elastic
Rule license: Elastic License v2
Investigation guide
editTriage and analysis
Investigating New Okta Authentication Behavior Detected
This rule detects events where Okta behavior detection has identified a new authentication behavior such as a new device or location.
Possible investigation steps:
-
Identify the user involved in this action by examining the
okta.actor.id
,okta.actor.type
,okta.actor.alternate_id
, andokta.actor.display_name
fields. -
Determine the authentication anomaly by examining the
okta.debug_context.debug_data.risk_behaviors
andokta.debug_context.debug_data.flattened
fields. -
Determine the client used by the actor. Review the
okta.client.ip
,okta.client.user_agent.raw_user_agent
,okta.client.zone
,okta.client.device
, andokta.client.id
fields. -
If the client is a device, check the
okta.device.id
,okta.device.name
,okta.device.os_platform
,okta.device.os_version
, andokta.device.managed
fields. - Review the past activities of the actor involved in this action by checking their previous actions.
-
Examine the
okta.request.ip_chain
field to potentially determine if the actor used a proxy or VPN to perform this action. -
Evaluate the actions that happened just before and after this event in the
okta.event_type
field to help understand the full context of the activity.
False positive analysis:
- A user may be using a new device or location to sign in.
- The Okta behavior detection may be incorrectly identifying a new authentication behavior and need adjusted.
Response and remediation:
- If the user is legitimate and the authentication behavior is not suspicious, no action is required.
- If the user is legitimate but the authentication behavior is suspicious, consider resetting the user’s password and enabling multi-factor authentication (MFA).
- If MFA is already enabled, consider resetting MFA for the user.
- If the user is not legitimate, consider deactivating the user’s account.
- If this is a false positive, consider adjusting the Okta behavior detection settings.
-
Block the IP address or device used in the attempts if they appear suspicious, using the data from the
okta.client.ip
andokta.device.id
fields. - Conduct a review of Okta policies and ensure they are in accordance with security best practices.
Setup
editThe Okta Fleet integration, Filebeat module, or similarly structured data is required to be compatible with this rule.
Rule query
editevent.dataset:okta.system and okta.debug_context.debug_data.risk_behaviors:*
Framework: MITRE ATT&CKTM
-
Tactic:
- Name: Initial Access
- ID: TA0001
- Reference URL: https://attack.mitre.org/tactics/TA0001/