Okta Phishing Detection with FastPass Origin Check
THIS IS A EXPERIMENTAL DETECTION
This detection has been marked experimental by the Splunk Threat Research team. This means we have not been able to test, simulate, or build datasets for this detection. Use at your own risk. This analytic is NOT supported.
The following analytic identifies when Okta''s FastPass prevents known phishing sites. When your users are enrolled in FastPass, Okta can provide defenders a high-fidelity signal for when user applications are being targeted by attackers wielding real-time (AiTM) proxies. Okta''s Defensive Cyber Operations team routinely identifies phishing infrastructure configured to imitate an Okta sign-in page and proactively notify Okta customers when suspicious infrastructure we detect appears to be targeting their users. Since March 2020, we have delivered over 1000 notifications to customers.
- Type: TTP
Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- Last Updated: 2023-03-09
- Author: Okta, Inc, Michael Haag, Splunk
- ID: f4ca0057-cbf3-44f8-82ea-4e330ee901d3
Kill Chain Phase
- CIS 10
1 2 3 4 5 `okta` eventType="user.authentication.auth_via_mfa" AND result="FAILURE" AND outcome.reason="FastPass declined phishing attempt" | stats count min(_time) as firstTime max(_time) as lastTime values(displayMessage) by user eventType client.userAgent.rawUserAgent client.userAgent.browser outcome.reason | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)` | `okta_phishing_detection_with_fastpass_origin_check_filter`
The SPL above uses the following Macros:
okta_phishing_detection_with_fastpass_origin_check_filter is a empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.
List of fields required to use this analytic.
How To Implement
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
|100.0||100||100||Okta FastPass has prevented $user$ from authenticating to a malicious site.|
The Risk Score is calculated by the following formula: Risk Score = (Impact * Confidence/100). Initial Confidence and Impact is set by the analytic author.
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