Splunk Account Discovery Drilldown Dashboard Disclosure
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.
Splunk drilldown vulnerability disclosure in Dashboard application that can potentially allow exposure of tokens from privilege users. An attacker can create dashboard and share it to privileged user (admin) and detokenize variables using external urls within dashboards drilldown function.
- Type: TTP
Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- Last Updated: 2022-08-02
- Author: Marissa Bower, Rod Soto, Splunk
- ID: f844c3f6-fd99-43a2-ba24-93e35fe84be6
Kill Chain Phase
- CIS 10
|CVE-2022-37438||In Splunk Enterprise versions in the following table, an authenticated user can craft a dashboard that could potentially leak information (for example, username, email, and real name) about Splunk users, when visited by another user through the drilldown component. The vulnerability requires user access to create and share dashboards using Splunk Web.||None|
1 2 3 4 5 6 | rest splunk_server=local /servicesNS/-/-/data/ui/views | search eai:data="*$env:*" eai:data="*url*" eai:data="*options*" | rename author AS Author eai:acl.sharing AS Permissions eai:appName AS App eai:data AS "Dashboard XML" | fields Author Permissions App "Dashboard XML" | `splunk_account_discovery_drilldown_dashboard_disclosure_filter`
The SPL above uses the following Macros:
splunk_account_discovery_drilldown_dashboard_disclosure_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 uses REST function to query for dashboards with environment variables present in URL options.
Known False Positives
This search may reveal non malicious URLs with environment variables used in organizations.
Associated Analytic Story
|40.0||50||80||Potential exposure of environment variables from url embedded in dashboard|
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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source | version: 1