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.
This hunting analytic identifies multiple failed logon attempts from a single IP. Use this analytic to identify patterns of suspicious logins from a single source and filter as needed or use this to drive tuning for higher fidelity analytics.
- Type: Hunting
Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- Last Updated: 2022-09-21
- Author: Michael Haag, Rico Valdez, Splunk
- ID: 19cba45f-cad3-4032-8911-0c09e0444552
Kill Chain Phase
- CIS 16
1 2 3 4 5 6 7 `okta` outcome.reason=INVALID_CREDENTIALS | rename client.geographicalContext.country as country, client.geographicalContext.state as state, client.geographicalContext.city as city | stats min(_time) as firstTime max(_time) as lastTime dc(src_user) as distinct_users values(src_user) as users by src_ip, displayMessage, outcome.reason, country, state, city | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)` | search distinct_users > 5 | `multiple_okta_users_with_invalid_credentials_from_the_same_ip_filter`
The SPL above uses the following Macros:
multiple_okta_users_with_invalid_credentials_from_the_same_ip_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 are being ingested in your Splunk deployment.
Known False Positives
A single public IP address servicing multiple legitmate users may trigger this search. In addition, the threshold of 5 distinct users may be too low for your needs. You may modify the included filter macro
multiple_okta_users_with_invalid_credentials_from_the_same_ip_filter to raise the threshold or except specific IP adresses from triggering this search.
Associated Analytic Story
|9.0||30||30||Multple user accounts have failed to authenticate from a single IP.|
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: 3