In Splunk Enterprise versions below 10.4.2, 10.2.6, 10.0.9, and 9.4.14, a user who holds the "power" Splunk role could store risky Search Processing Language (SPL) commands in a Table Editor dataset and share the dataset. A user who holds the "admin" Splunk role triggers the commands when that user opens the dataset in the Table Editor. The commands run using the permissions of the second user and could expose all relevant data and modify lookup files. The vulnerability is possible because the Table Editor does not apply SPL safeguards for risky commands to the field-summary search that it runs for the Initial Data step. The vulnerability requires the attacker to phish the affected user by tricking them into initiating a request within their browser. The user who holds the "power" Splunk role should not be able to exploit the vulnerability at will. For more information see SPL safeguards for risky commands (https://help.splunk.com/en/splunk-enterprise/administer/manage-users-and-security/10.2/best-practices-for-splunk-platform-security/spl-safeguards-for-risky-commands) and Define roles on the Splunk platform with capabilities (https://help.splunk.com/en/splunk-enterprise/administer/manage-users-and-security/10.2/manage-splunk-platform-users-and-roles/define-roles-on-the-splunk-platform-with-capabilities) in the Splunk documentation.
This vulnerability carries a MEDIUM severity rating with a CVSS v3.1 score of 5.4, indicating it can be exploited remotely over the network but requires specific conditions to be met though user interaction is required requiring only low-level privileges . The vulnerability impacts confidentiality (data exposure), limited integrity, for affected systems. Impacting 1 product from splunk organizations running these solutions should prioritize assessment and patching.
Reported in 2026, this vulnerability emerged during an era marked by increased sophistication in supply chain attacks, cloud infrastructure vulnerabilities, and software-as-a-service (SaaS) security challenges. Security practices during this period emphasized zero-trust architectures, container security, and API protection.
2026-08-19T22:17:18.890
2026-08-26T16:16:40.860
Analyzed
CVSSv3.1: 5.4 (MEDIUM)
| Type | Vendor | Product | Version/Range | Vulnerable? |
|---|---|---|---|---|
| Application | splunk | splunk | < 9.4.14 | Yes |
| Application | splunk | splunk | < 10.0.9 | Yes |
| Application | splunk | splunk | < 10.2.6 | Yes |
| Application | splunk | splunk | < 10.4.2 | Yes |
SecUtils normalizes and enriches National Vulnerability Database (NVD) records by standardizing vendor and product identifiers, aggregating vulnerability metadata from both NVD and MITRE sources, and providing structured context for security teams. For splunk's affected products, we extract Common Platform Enumeration (CPE) data, Common Weakness Enumeration (CWE) classifications, CVSS severity metrics, and reference data to enable rapid vulnerability prioritization and asset correlation. This record contains no exploit code, proof-of-concept instructions, or attack methodologies—only defensive intelligence necessary for patch management, risk assessment, and security operations.