Detection rules › Splunk
Okta MFA Exhaustion Hunt
The following analytic detects patterns of successful and failed Okta MFA push attempts to identify potential MFA exhaustion attacks. It leverages Okta event logs, specifically focusing on push verification events, and uses statistical evaluations to determine suspicious activity. This activity is significant as it may indicate an attacker attempting to bypass MFA by overwhelming the user with push notifications. If confirmed malicious, this could lead to unauthorized access, compromising the security of the affected accounts and potentially the entire environment.
MITRE ATT&CK coverage
| Tactic | Techniques |
|---|---|
| Credential Access | T1110 Brute Force |
Rules detecting the same action
Other rules on this platform that filter on the same API call or operation.
Rule body splunk
name: Okta MFA Exhaustion Hunt
id: 97e2fe57-3740-402c-988a-76b64ce04b8d
version: 9
creation_date: '2022-12-19'
modification_date: '2026-05-13'
author: Michael Haag, Marissa Bower, Mauricio Velazco, Splunk
status: production
type: Hunting
description: The following analytic detects patterns of successful and failed Okta MFA push attempts to identify potential MFA exhaustion attacks. It leverages Okta event logs, specifically focusing on push verification events, and uses statistical evaluations to determine suspicious activity. This activity is significant as it may indicate an attacker attempting to bypass MFA by overwhelming the user with push notifications. If confirmed malicious, this could lead to unauthorized access, compromising the security of the affected accounts and potentially the entire environment.
data_source:
- Okta
search: |-
`okta` eventType=system.push.send_factor_verify_push OR ((legacyEventType=core.user.factor.attempt_success) AND (debugContext.debugData.factor=OKTA_VERIFY_PUSH)) OR ((legacyEventType=core.user.factor.attempt_fail) AND (debugContext.debugData.factor=OKTA_VERIFY_PUSH))
| stats count(eval(legacyEventType="core.user.factor.attempt_success")) as successes count(eval(legacyEventType="core.user.factor.attempt_fail")) as failures count(eval(eventType="system.push.send_factor_verify_push")) as pushes
BY user,_time
| stats latest(_time) as lasttime earliest(_time) as firsttime sum(successes) as successes sum(failures) as failures sum(pushes) as pushes
BY user
| eval seconds=lasttime-firsttime
| eval lasttime=strftime(lasttime, "%c")
| search (pushes>1)
| eval totalattempts=successes+failures
| eval finding="Normal authentication pattern"
| eval finding=if(failures==pushes AND pushes>1,"Authentication attempts not successful because multiple pushes denied",finding)
| eval finding=if(totalattempts==0,"Multiple pushes sent and ignored",finding)
| eval finding=if(successes>0 AND pushes>3,"Probably should investigate. Multiple pushes sent, eventual successful authentication!",finding)
| `okta_mfa_exhaustion_hunt_filter`
how_to_implement: The analytic leverages Okta OktaIm2 logs to be ingested using the Splunk Add-on for Okta Identity Cloud (https://splunkbase.splunk.com/app/6553).
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.
references:
- https://developer.okta.com/docs/reference/api/event-types/?q=user.acount.lock
- https://sec.okta.com/everythingisyes
- https://splunkbase.splunk.com/app/6553
analytic_story:
- Okta Account Takeover
- Okta MFA Exhaustion
- Scattered Lapsus$ Hunters
asset_type: Okta Tenant
mitre_attack_id:
- T1110
product:
- Splunk Enterprise
- Splunk Enterprise Security
- Splunk Cloud
category: application
security_domain: access
tests:
- name: True Positive Test
attack_data:
- data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/attack_techniques/T1621/okta_multiple_failed_mfa_pushes/okta_multiple_failed_mfa_pushes.log
source: Okta
sourcetype: OktaIM2:log
test_type: unit
Stages and Predicates
Stage 1: search
`okta` eventType=system.push.send_factor_verify_push OR ((legacyEventType=core.user.factor.attempt_success) AND (debugContext.debugData.factor=OKTA_VERIFY_PUSH)) OR ((legacyEventType=core.user.factor.attempt_fail) AND (debugContext.debugData.factor=OKTA_VERIFY_PUSH))
Stage 2: stats
| stats count(eval(legacyEventType="core.user.factor.attempt_success")) as successes count(eval(legacyEventType="core.user.factor.attempt_fail")) as failures count(eval(eventType="system.push.send_factor_verify_push")) as pushes
BY user,_time
Stage 3: stats
| stats latest(_time) as lasttime earliest(_time) as firsttime sum(successes) as successes sum(failures) as failures sum(pushes) as pushes
BY user
Stage 4: eval
| eval seconds=lasttime-firsttime
Stage 5: eval
| eval lasttime=strftime(lasttime, "%c")
Stage 6: search
| search (pushes>1)
Stage 7: eval
| eval totalattempts=successes+failures
Stage 8: eval
| eval finding="Normal authentication pattern"
Stage 9: eval
| eval finding=if(failures==pushes AND pushes>1,"Authentication attempts not successful because multiple pushes denied",finding)
finding ="Authentication attempts not successful because multiple pushes denied"findingStage 10: eval
| eval finding=if(totalattempts==0,"Multiple pushes sent and ignored",finding)
finding ="Multiple pushes sent and ignored"findingStage 11: eval
| eval finding=if(successes>0 AND pushes>3,"Probably should investigate. Multiple pushes sent, eventual successful authentication!",finding)
finding =successes > 0 AND pushes > 3"Probably should investigate. Multiple pushes sent, eventual successful authentication!"findingStage 12: search
| `okta_mfa_exhaustion_hunt_filter`
Indicators
Each row is a field, operator, and value that the rule matches. The corpus column counts how many other rules in the catalog look for the same combination: high numbers point to widely-used, community-vetted indicators. Blank or 1 shows that the indicator is specific to this rule.
| Field | Kind | Values |
|---|---|---|
debugContext.debugData.factor | eq |
|
eventType | eq |
|
legacyEventType | eq |
|
pushes | gt |
|
sourcetype | eq |
|