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Description

In Splunk Enterprise versions below 9.0.4, 8.2.10, and 8.1.13, a low-privileged user can bypass URL validation to perform a path traversal and access restricted and confidential information by targeting other users on the instance, including the admin user. The only affected version of bootstrap which shipped with Splunk was version 2.3.1, so the search is targeted at that version alone.

  • Type: Hunting

  • Product: Splunk Enterprise

  • Last Updated: 2023-05-09
  • Author: Rod Soto
  • ID: 8a43558f-a53c-4ee4-86c1-30b1e8ef3606

Annotations

ATT&CK

ATT&CK

ID Technique Tactic
T1189 Drive-by Compromise Initial Access
Kill Chain Phase
  • Delivery
NIST
  • DE.AE
CIS20
  • CIS 10
CVE
ID Summary CVSS
CVE-2019-8331 In Bootstrap before 3.4.1 and 4.3.x before 4.3.1, XSS is possible in the tooltip or popover data-template attribute. 4.3 


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`splunkd_web` method=GET uri_path="*bootstrap-2.3.1*" file="*.js" 
| table _time clientip uri_path file status 
| `splunk_persistent_xss_via_url_validation_bypass_w_dashboard_filter`

Macros

The SPL above uses the following Macros:

:information_source: splunk_persistent_xss_via_url_validation_bypass_w_dashboard_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.

  • file
  • uri
  • clientip
  • user

How To Implement

This search does not require additional data to be ingested. This search requires ability to search _internal index. This search helps discover access to vulnerable bootstrap versions.

Known False Positives

This search will produce numerous false positives as it shows ANY accesses to vulnerable bootstrap Javascript files. Accesses to these files occur during normal Splunk usage. To reduce or eliminate false positives, update the a version of Splunk which has addressed the vulnerability.

Associated Analytic Story

RBA

Risk Score Impact Confidence Message
16.0 80 20 Attempted access to vulnerable bootstrap file by $clientip$

: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