GHSA-9C88-8R2M-69JP
Vulnerability from github – Published: 2026-08-20 00:34 – Updated: 2026-08-20 00:34
VLAI
Details
In Splunk Enterprise versions below 10.4.2, 10.2.6, 10.0.9, and 9.4.14, an unauthenticated user could inject arbitrary Search Processing Language (SPL) into requests that search for events near a selected event. This could allow for unauthorized search execution. The vulnerability is possible because Splunk Web does not consistently escape caller-supplied values when it builds SPL for nearby-event searches, and embedded report access accepts those requests without the expected authorization check. For more information see Use time to find nearby events (https://help.splunk.com/en/splunk-enterprise/search/search-manual/10.2/specify-time-ranges/use-time-to-find-nearby-events) in the Splunk documentation.
Severity
7.3 (High)
{
"affected": [],
"aliases": [
"CVE-2026-76321"
],
"database_specific": {
"cwe_ids": [
"CWE-77"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-08-19T22:17:16Z",
"severity": "HIGH"
},
"details": "In Splunk Enterprise versions below 10.4.2, 10.2.6, 10.0.9, and 9.4.14, an unauthenticated user could inject arbitrary Search Processing Language (SPL) into requests that search for events near a selected event. This could allow for unauthorized search execution. The vulnerability is possible because Splunk Web does not consistently escape caller-supplied values when it builds SPL for nearby-event searches, and embedded report access accepts those requests without the expected authorization check. For more information see Use time to find nearby events (https://help.splunk.com/en/splunk-enterprise/search/search-manual/10.2/specify-time-ranges/use-time-to-find-nearby-events) in the Splunk documentation.",
"id": "GHSA-9c88-8r2m-69jp",
"modified": "2026-08-20T00:34:57Z",
"published": "2026-08-20T00:34:57Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-76321"
},
{
"type": "WEB",
"url": "https://advisory.splunk.com/advisories/SVD-2026-0801"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L",
"type": "CVSS_V3"
}
]
}
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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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