CVE-2026-76339 (GCVE-0-2026-76339)
Vulnerability from cvelistv5 – Published: 2026-08-19 21:34 – Updated: 2026-08-19 21:34
VLAI
EPSS
VEX
Title
SPL Injection through the geostats Command in Splunk Enterprise
Summary
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 arbitrary Search Processing Language (SPL) commands through the geostats command. The injected SPL runs with the permissions of another authenticated user after that user initiates the attacker-controlled geostats search in Splunk Web. The injected SPL could expose all relevant data available to the second user, including stored credentials, and modify lookup files that the second user has permission to change. The vulnerability is possible because the geostats command does not sufficiently validate input before Splunk Enterprise processes it. The vulnerability requires the attacker to phish the affected user by tricking them into initiating a request within their browser. The user who does not hold the "admin" or "power" Splunk roles should not be able to exploit the vulnerability at will. For more information see geostats (https://help.splunk.com/en/splunk-enterprise/spl-search-reference/10.0/search-commands/geostats) in the Splunk documentation.
Severity
5.4 (Medium)
CWE
- CWE-77 - The software constructs all or part of a command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended 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 , < 10.4.2
(custom)
Affected: 10.2 , < 10.2.6 (custom) Affected: 10.0 , < 10.0.9 (custom) Affected: 9.4 , < 9.4.14 (custom) |
guessed |
Date Public
2026-08-19 00:00
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"providerMetadata": {
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}
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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.
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.
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