CVE-2024-53244
Published: 10 December 2024
Summary
CVE-2024-53244 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Splunk Splunk. Its CVSS base score is 5.7 (Medium).
Operationally, ranked at the 33.8th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-51916
Vulnerability details
In Splunk Enterprise versions below 9.3.2, 9.2.4, and 9.1.7 and Splunk Cloud Platform versions below 9.2.2406.107, 9.2.2403.109, and 9.1.2312.206, a low-privileged user that does not hold the “admin“ or “power“ Splunk roles could run a saved search with a risky…
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command using the permissions of a higher-privileged user to bypass the SPL safeguards for risky commands on “/en-US/app/search/report“ endpoint through “s“ parameter.<br>The vulnerability requires the attacker to phish the victim by tricking them into initiating a request within their browser. The authenticated user should not be able to exploit the vulnerability at will.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Automated marking applies security attributes to system outputs, making it harder for attackers to exploit unmarked sensitive information leading to unauthorized exposure.
Proper attribute retention and permitted-value enforcement limits unauthorized actors from accessing sensitive information lacking correct labels.
Prevents unauthorized exposure of sensitive information by prohibiting untrusted external systems from processing or storing it.
By enforcing authorization matching prior to sharing, the control reduces the risk of exposing sensitive information to unauthorized actors.
Review and removal of nonpublic information from publicly accessible systems directly prevents exposure of sensitive data to unauthorized actors.
Data mining protection mechanisms detect and block unauthorized bulk extraction of sensitive data, directly mitigating exposure to unauthorized actors.
Literacy training teaches users to recognize and avoid actions that result in unauthorized exposure of sensitive information.
Retaining and monitoring training records confirms personnel have completed privacy and security awareness training on handling sensitive data, reducing the chance of unauthorized exposure due to lack of knowledge.