:warning: 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.

Try in Splunk Security Cloud

Description

This hunting search provides information to track possible exploitation of a lower privilege user able to push notifications that may include malicious code as notifications for all users in Splunk.

  • Type: Hunting

  • Product: Splunk Enterprise

  • Last Updated: 2024-07-01
  • Author: Rod Soto
  • ID: 4b7f368f-4322-47f8-8363-2c466f0b7030

Annotations

ATT&CK

ATT&CK

ID Technique Tactic
T1548 Abuse Elevation Control Mechanism Privilege Escalation, Defense Evasion
Kill Chain Phase
  • Exploitation
NIST
  • DE.AE
CIS20
  • CIS 10
CVE
ID Summary CVSS
    


1
2
3
4



| rest /services/messages 
| table title message severity timeCreated_iso published splunk_server author 
| `splunk_unauthorized_notification_input_by_user_filter`

Macros

The SPL above uses the following Macros:

:information_source: splunk_unauthorized_notification_input_by_user_filter is a empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.

Required fields

List of fields required to use this analytic.

  • message
  • title
  • splunk_server
  • author

How To Implement

Requires access to Splunk rest data.

Known False Positives

This search will produce false positives which may include benign notifications from other Splunk entities, attention to suspicious or anomalous elements in notifications helps identify actual exploitation of this vulnerability.

Associated Analytic Story

RBA

Risk Score Impact Confidence Message
20.0 20 100 Please review messages at $splunk_server for possible unauthorized notification input.

:information_source: The Risk Score is calculated by the following formula: Risk Score = (Impact * Confidence/100). Initial Confidence and Impact is set by the analytic author.

Reference

Test Dataset

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 | version: 1