Detection: Okta Phishing Detection with FastPass Origin Check

EXPERIMENTAL DETECTION

This detection status is set to experimental. The Splunk Threat Research team has not yet fully tested, simulated, or built comprehensive datasets for this detection. As such, this analytic is not officially supported. If you have any questions or concerns, please reach out to us at research@splunk.com.

Updated Date: 2024-05-15 ID: f4ca0057-cbf3-44f8-82ea-4e330ee901d3 Author: Okta, Inc, Michael Haag, Splunk Type: TTP Product: Splunk Enterprise Security

Description

The following analytic identifies failed user authentication attempts in Okta due to FastPass declining a phishing attempt. It leverages Okta logs, specifically looking for events where multi-factor authentication (MFA) fails with the reason "FastPass declined phishing attempt." This activity is significant as it indicates that attackers are targeting users with real-time phishing proxies, attempting to capture credentials. If confirmed malicious, this could lead to unauthorized access to user accounts, potentially compromising sensitive information and furthering lateral movement within the organization.

1`okta` eventType="user.authentication.auth_via_mfa" AND result="FAILURE" AND outcome.reason="FastPass declined phishing attempt" 
2| stats count min(_time) as firstTime max(_time) as lastTime values(displayMessage) by user eventType client.userAgent.rawUserAgent client.userAgent.browser outcome.reason 
3| `security_content_ctime(firstTime)` 
4| `security_content_ctime(lastTime)` 
5| `okta_phishing_detection_with_fastpass_origin_check_filter`

Data Source

Name Platform Sourcetype Source Supported App
Okta N/A 'OktaIM2:log' 'Okta' N/A

Macros Used

Name Value
okta eventtype=okta_log OR sourcetype = "OktaIM2:log"
okta_phishing_detection_with_fastpass_origin_check_filter search *
okta_phishing_detection_with_fastpass_origin_check_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
T1556 Modify Authentication Process Persistence
KillChainPhase.DELIVERY
KillChainPhase.EXPLOITAITON
KillChainPhase.INSTALLATION
NistCategory.DE_CM
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
FIN13

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 search is specific to Okta and requires Okta logs to be ingested in your Splunk deployment.

Known False Positives

Fidelity of this is high as Okta is specifying malicious infrastructure. Filter and modify as needed.

Associated Analytic Story

Risk Based Analytics (RBA)

Risk Message Risk Score Impact Confidence
Okta FastPass has prevented $user$ from authenticating to a malicious site. 100 100 100
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