GitHub Repo

Detection: Investigate Previous Unseen User

REMOVED DETECTION

This detection has been removed from the Splunk Threat Research content library and is no longer maintained or supported.

Reason: As of Splunk Enterprise Security version 8.0, Splunk Enterprise Security no longer supports Investigations. As such, all Investigations have been deprecated in ES Content Update.

Removed in version: 5.2.0

If you have any questions or concerns, please reach out to us at research@splunk.com.

Updated Date: 2026-05-13 ID: ad114d5c-8079-4a84-a646-2fd00dfc07cc Author: Patrick Bareiss, Splunk Type: Investigation Product: Splunk Enterprise Security

Description

This search returns previous unseen user, which didn't log in for 30 days.

 1
 2| tstats count `security_content_summariesonly` earliest(_time) as first_login latest(_time) as last_login values(Authentication.dest) AS Authentication.dest values(Authentication.app) AS Authentication.app values(Authentication.action) AS Authentication.action from datamodel=Authentication where Authentication.action=success by _time, Authentication.user 
 3| bucket _time span=30d 
 4| stats count min(first_login) as first_login max(last_login) as last_login values(Authentication.dest) AS Authentication.dest by Authentication.user 
 5| where count=1 
 6| where first_login >= relative_time(now(), "-30d") 
 7| `security_content_ctime(first_login)` 
 8| `security_content_ctime(last_login)` 
 9| `drop_dm_object_name("Authentication")` 
10| search dest=$dest$

Data Source

No data sources specified for this detection.

Macros Used

Name Value
security_content_summariesonly summariesonly=summariesonly_config allow_old_summaries=oldsummaries_config fillnull_value=fillnull_config``

Annotations

- MITRE ATT&CK
+ Kill Chain Phases
+ NIST
+ CIS
- Threat Actors
ID Technique Tactic

Default Configuration

This detection is configured by default in Splunk Enterprise Security to run with the following settings:

Setting Value
Disabled true
Cron Schedule N/A
Earliest Time N/A
Latest Time N/A
Schedule Window N/A
Creates Finding (Notable) No
Creates Intermediate Finding (Risk Event) No

Implementation

To successfully implement this search you need to be ingesting authentication logs from your various systems and populating the Authentication data model.

Known False Positives

Associated Analytic Story

Detection Testing

Test Type Status Dataset Source Sourcetype
Validation Not Applicable N/A N/A N/A
Unit Not Applicable N/A N/A N/A
Integration Not Applicable 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: 1