CVE-2026-76270 (GCVE-0-2026-76270)
Vulnerability from cvelistv5 – Published: 2026-10-07 20:46 – Updated: 2026-10-07 20:46
VLAI
EPSS
VEX
Title
Structured Query Language (SQL) Injection in the SPL2 Module Catalog in Splunk Enterprise
Summary
In Splunk Enterprise versions below 10.4.3, a user that holds a role with the list_spl2_modules capability could use SQL injection in SPL2 module filtering to access all relevant data available through the affected Representational State Transfer (REST) API, including private SPL2 module definitions belonging to other users. The vulnerability is possible because Splunk Enterprise and Splunk Cloud Platform do not parameterize user-supplied values before using them in database queries for SPL2 module filtering. For more information see Manage SPL2 modules (https://help.splunk.com/en/splunk-enterprise/search/spl2-search-manual/multiple-searches-in-an-spl2-module/manage-spl2-modules) and Module permissions (https://help.splunk.com/en/splunk-enterprise/search/spl2-search-manual/modules-statements-and-views/module-permissions) in the Splunk documentation.
Splunk Enterprise versions 10.2.x, 10.0.x, and 9.4.x are not affected.
Severity
6.5 (Medium)
CWE
- CWE-89 - The software constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component.
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Splunk | Splunk Enterprise |
Affected:
10.4 , < 10.4.3
(custom)
|
guessed |
Date Public
2026-10-07 00:00
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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