CVE-2026-76331
Splunk 9.4.0 – 9.4.14
Raw vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:NSummary
CVE-2026-76331 is a high-severity Improper Neutralization of Special Elements in Data Query Logic (CWE-943) vulnerability in Splunk Splunk. Its CVSS base score is 8.1 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 14th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified map to SI-10 (Information Input Validation) — see the control section below for these in your framework.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-62896
Vulnerability Data
In Splunk Enterprise versions below 10.4.2, 10.2.6, 10.0.9, and 9.4.14, a user who does not hold the "admin" or "power" Splunk roles could inject Search Processing Language (SPL) into saved-search dispatch requests. This could allow for unauthorized access to all…
more
relevant data and affect system integrity within Splunk Enterprise. The vulnerability is possible because Splunk Enterprise does not correctly validate caller-supplied time values before using them in saved-search dispatch. For more information see Search endpoint descriptions (https://help.splunk.com/en/splunk-enterprise/rest-api-reference/10.2/search-endpoints/search-endpoint-descriptions) in the Splunk documentation.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Mitigating Controls (NIST 800-53 r5) AI
Input validation directly stops unneutralized special elements from reaching query logic.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure SDLC practices directly require parameterized queries and input neutralization to prevent query-logic injection.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Security testing in development catches injection vulnerabilities before release but does not itself implement the fix.
Secure development life cycle mandates input validation and query parameterization that directly prevent injection flaws.
Application security requirements explicitly call for controls against injection and improper query construction.
Secure architecture principles reduce the likelihood of query-logic flaws but do not prescribe the specific coding practice.
Secure coding standards require proper neutralization of special elements in all data queries.
Outsourced development agreements can require secure coding practices, indirectly mitigating the weakness.