Splunk XSS in Monitoring Console

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

The following analytic identifies attempts to exploit a reflective Cross-Site Scripting (XSS) vulnerability in the Splunk Distributed Monitoring Console app. It detects GET requests with suspicious query parameters by analyzing splunkd_web logs in the _internal index. This activity is significant because it targets a known vulnerability (CVE-2022-27183) that could allow attackers to execute arbitrary scripts in the context of the user's browser. If confirmed malicious, this could lead to unauthorized actions, data theft, or further compromise of the Splunk environment.

Type: TTP
Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
Last Updated: 2024-05-17
Author: Lou Stella, Splunk
ID: b11accac-6fa3-4103-8a1a-7210f1a67087

Annotations

ATT&CK

ID	Technique	Tactic
T1189	Drive-by Compromise	Initial Access

Kill Chain Phase

Delivery

NIST

DE.CM

CIS20

CIS 10

CVE

Search

 `splunkd_web` method="GET" uri_query="description=%3C*" 
| table _time host status clientip user uri 
| `splunk_xss_in_monitoring_console_filter`

Macros

The SPL above uses the following Macros:

splunkd_web

splunk_xss_in_monitoring_console_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.

method
uri_query
status
clientip
user
uri

How To Implement

This detection does not require you to ingest any new data. The detection does require the ability to search the _internal index. This detection will find attempted exploitation of CVE-2022-27183.

Known False Positives

Use of the monitoring console where the less-than sign (<) is the first character in the description field.

Associated Analytic Story

Splunk Vulnerabilities

RBA

Risk Score	Impact	Confidence	Message
40.0	50	80	A potential XSS attempt has been detected from $user$

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

https://www.splunk.com/en_us/product-security/announcements/svd-2022-0505.html

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: 2

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