Detection: Okta Two or More Rejected Okta Pushes

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: 2024-08-16 ID: d93f785e-4c2c-4262-b8c7-12b77a13fd39 Author: Michael Haag, Marissa Bower, Splunk Type: TTP Product: Splunk Enterprise Security

Description

DEPRECATION NOTE - This search has been deprecated and replaced with Okta Multiple Failed MFA Requests For User. The following analytic identifies an account that has rejected more than 2 Push notifications in a 10 minute window. Modify this query for your environment by upping the count or time window.

1`okta` outcome.reason="User rejected Okta push verify" OR (debugContext.debugData.factor="OKTA_VERIFY_PUSH" outcome.result=FAILURE legacyEventType="core.user.factor.attempt_fail" "target{}.detailEntry.methodTypeUsed"="Get a push notification") 
2| bin _time as bin_time span=10m 
3| eval user=coalesce(actor.alternateId,user), user=mvindex(split(user, "@"), 0), event_time = _time 
4| stats earliest(event_time) as event_time, min(_time) as firsttime max(_time) as lasttime values(client.ipAddress) as client.ipAddress, values(outcome.reason) as outcome, values(src_ip) AS src_ip, values(client.userAgent.rawUserAgent) as user_agent, values(eventType) as eventType, values(outcome.result) as action, values(legacyEventType) as legacyEventType values(index) as idx, values(sourcetype) as st count by bin_time user host 
5| rename bin_time as timeWindow 
6| convert ctime(*timeWindow) ctime(firsttime) ctime(lasttime) 
7| where count >= 2 
8| `okta_two_or_more_rejected_okta_pushes_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_two_or_more_rejected_okta_pushes_filter search *
okta_two_or_more_rejected_okta_pushes_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
T1110 Brute Force Credential Access
KillChainPhase.EXPLOITAITON
NistCategory.DE_CM
Cis18Value.CIS_10
APT28
APT38
APT39
DarkVishnya
Dragonfly
FIN5
Fox Kitten
HEXANE
OilRig
Turla

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 Notable Yes
Rule Title %name%
Rule Description %description%
Notable Event Fields user, dest
Creates Risk Event True
This configuration file applies to all detections of type TTP. These detections will use Risk Based Alerting and generate Notable Events.

Implementation

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

Known False Positives

False positives may be present. Tune Okta and tune the analytic to ensure proper fidelity. Modify risk score as needed. Drop to anomaly until tuning is complete.

Associated Analytic Story

Risk Based Analytics (RBA)

Risk Message Risk Score Impact Confidence
$user$ account has rejected multiple Okta pushes. 64 80 80
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 ❌ Failing N/A N/A N/A
Integration ❌ Failing N/A N/A N/A

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