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 utilizes the user.acount.lock event to identify associates who are locked out of Okta. An adversary attempting to brute force or password spray account names may lock accounts out depending on the threshold.
- Type: Anomaly
Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- Last Updated: 2022-09-21
- Author: Michael Haag, Splunk
- ID: d650c0ae-bdc5-400e-9f0f-f7aa0a010ef1
Kill Chain Phase
- CIS 16
1 2 3 4 5 6 `okta` eventType=user.account.lock | stats count min(_time) as firstTime max(_time) as lastTime values(displayMessage) by src_user src_ip eventType status | where count >=3 | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)` | `okta_account_locked_out_filter`
The SPL above uses the following Macros:
okta_account_locked_out_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 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
|64.0||80||80||$src_user$ account has been locked out.|
The Risk Score is calculated by the following formula: Risk Score = (Impact * Confidence/100). Initial Confidence and Impact is set by the analytic author.
source | version: 1