Splunk Enterprise <9.4.3 CSRF can alter SHC membership
CVE-2025-20321 Published on July 7, 2025
Membership State Change in Splunk Search Head Cluster through a Cross-Site Request Forgery (CSRF) in Splunk Enterprise
In Splunk Enterprise versions below 9.4.3, 9.3.5, 9.2.7 and 9.1.10, and Splunk Cloud Platform versions below 9.3.2411.104, 9.3.2408.114, and 9.2.2406.119, an unauthenticated attacker can send a specially-crafted SPL search that could change the membership state in a Splunk Search Head Cluster (SHC) through a Cross-Site Request Forgery (CSRF), potentially leading to the removal of the captain or a member of the SHC.<br><br>The vulnerability requires the attacker to phish the administrator-level victim by tricking them into initiating a request within their browser. The attacker should not be able to exploit the vulnerability at will.
Weakness Type
What is a Session Riding Vulnerability?
The web application does not, or can not, sufficiently verify whether a well-formed, valid, consistent request was intentionally provided by the user who submitted the request. When a web server is designed to receive a request from a client without any mechanism for verifying that it was intentionally sent, then it might be possible for an attacker to trick a client into making an unintentional request to the web server which will be treated as an authentic request. This can be done via a URL, image load, XMLHttpRequest, etc. and can result in exposure of data or unintended code execution.
CVE-2025-20321 has been classified to as a Session Riding vulnerability or weakness.
Products Associated with CVE-2025-20321
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Affected Versions
Splunk Enterprise:- Version 9.4 and below 9.4.3 is affected.
- Version 9.3 and below 9.3.5 is affected.
- Version 9.2 and below 9.2.7 is affected.
- Version 9.1 and below 9.1.10 is affected.
- Version 9.3.2411 and below 9.3.2411.104 is affected.
- Version 9.3.2408 and below 9.3.2408.114 is affected.
- Version 9.2.2406 and below 9.2.2406.119 is affected.
Exploit Probability
EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.