Detection: Okta Account Lockout Events

DEPRECATED DETECTION

This detection has been marked as deprecated by the Splunk Threat Research team. This means that it will no longer be maintained or supported. If you have any questions or concerns, please reach out to us at research@splunk.com.

Updated Date: 2022-09-19 ID: 62b70968-a0a5-4724-8ac4-67871e6f544d Author: Michael Haag, Rico Valdez, Splunk Type: Anomaly Product: Splunk Enterprise Security

Description

DEPRECATION NOTE - This search has been deprecated and replaced with Okta Multiple Accounts Locked Out. The following anomaly will generate based on account lockout events utilizing Okta eventTypes of user.account.lock.limit or user.account.lock. Per the Okta docs site, this event is fired when a user account has reached the lockout limit. The account will not auto-unlock and a user or client cannot gain access to the account. This event indicates an account that will not be able to log in until remedial action is taken by the account admin. This event can be used to understand the specifics of an account lockout. Often this indicates a client application that is repeatedly attempting to authenticate with invalid credentials such as an old password.

1`okta` eventType IN (user.account.lock.limit,user.account.lock) 
2| rename client.geographicalContext.country as country, client.geographicalContext.state as state, client.geographicalContext.city as city 
3| stats count min(_time) as firstTime max(_time) as lastTime values(src_user) by displayMessage, country, state, city, src_ip 
4| `security_content_ctime(firstTime)` 
5| `security_content_ctime(lastTime)` 
6| `okta_account_lockout_events_filter`

Data Source

Name Platform Sourcetype Source Supported App
N/A N/A N/A N/A N/A

Macros Used

Name Value
okta eventtype=okta_log OR sourcetype = "OktaIM2:log"
okta_account_lockout_events_filter search *
okta_account_lockout_events_filter is an empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.

Annotations

- MITRE ATT&CK
+ Kill Chain Phases
+ NIST
+ CIS
- Threat Actors
ID Technique Tactic
T1078 Valid Accounts Defense Evasion
T1078.001 Default Accounts Initial Access
KillChainPhase.DELIVERY
KillChainPhase.EXPLOITAITON
KillChainPhase.INSTALLATION
NistCategory.DE_AE
Cis18Value.CIS_10
APT18
APT28
APT29
APT33
APT39
APT41
Akira
Axiom
Carbanak
Chimera
Cinnamon Tempest
Dragonfly
FIN10
FIN4
FIN5
FIN6
FIN7
FIN8
Fox Kitten
GALLIUM
Ke3chang
LAPSUS$
Lazarus Group
Leviathan
OilRig
POLONIUM
PittyTiger
Sandworm Team
Silence
Silent Librarian
Suckfly
Threat Group-3390
Wizard Spider
menuPass
FIN13
Magic Hound

Default Configuration

This detection is configured by default in Splunk Enterprise Security to run with the following settings:

Setting Value
Disabled true
Cron Schedule 0 * * * *
Earliest Time -70m@m
Latest Time -10m@m
Schedule Window auto
Creates Risk Event True
This configuration file applies to all detections of type anomaly. These detections will use Risk Based Alerting.

Implementation

This analytic is specific to Okta and requires Okta logs to be ingested.

Known False Positives

None. Account lockouts should be followed up on to determine if the actual user was the one who caused the lockout, or if it was an unauthorized actor.

Associated Analytic Story

Risk Based Analytics (RBA)

Risk Message Risk Score Impact Confidence
The following user $src_user$ has locked out their account within Okta. 25 50 50
The Risk Score is calculated by the following formula: Risk Score = (Impact * Confidence/100). Initial Confidence and Impact is set by the analytic author.

References

Detection Testing

Test Type Status Dataset Source Sourcetype
Validation Not Applicable N/A N/A N/A
Unit ✅ Passing Dataset Okta OktaIM2:log
Integration ✅ Passing Dataset Okta OktaIM2:log

Replay any dataset to Splunk Enterprise by using our replay.py tool or the UI. Alternatively you can replay a dataset into a Splunk Attack Range

Source: GitHub | Version: 2