CVE-2024-45736

Oct. 16, 2024, 10:19 p.m.

6.5
Medium

Description

In Splunk Enterprise versions below 9.3.1, 9.2.3, and 9.1.6 and Splunk Cloud Platform versions below 9.2.2403.107, 9.1.2312.204, and 9.1.2312.111, a low-privileged user that does not hold the "admin" or "power" Splunk roles could craft a search query with an improperly formatted "INGEST_EVAL" parameter as part of a [Field Transformation](https://docs.splunk.com/Documentation/Splunk/latest/Knowledge/Managefieldtransforms) which could crash the Splunk daemon (splunkd).

Product(s) Impacted

Vendor Product Versions
Splunk
  • Splunk
  • Splunk Cloud Platform
  • *, 9.3.0
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-400
Uncontrolled Resource Consumption
The product does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a splunk splunk / / / / enterprise / / /
a splunk splunk / / / / enterprise / / /
a splunk splunk 9.3.0 / / / enterprise / / /
a splunk splunk_cloud_platform / / / / / / / /
a splunk splunk_cloud_platform / / / / / / / /
a splunk splunk_cloud_platform / / / / / / / /

CVSS Score

6.5 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: LOW
  • Scope: UNCHANGED
  • Confidentiality Impact: NONE
  • Integrity Impact: NONE
  • Availability Impact: HIGH
  • CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

    View Vector String

Timeline

Published: Oct. 14, 2024, 5:15 p.m.
Last Modified: Oct. 16, 2024, 10:19 p.m.

Status : Analyzed

CVE has been recently published to the CVE List and has been received by the NVD.

More info

Source

prodsec@splunk.com

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.