CVE-2026-76392 (GCVE-0-2026-76392)
Vulnerability from cvelistv5 – Published: 2026-08-19 21:35 – Updated: 2026-08-19 21:35
VLAI
EPSS
VEX
Title
Use of Hard-coded Credentials in Container Connections in Splunk AI Toolkit
Summary
In Splunk AI Toolkit versions below 6.0.0, a user who does not hold the "admin" or "power" Splunk roles could obtain predictable or default credentials for connected container services. The use of hard-coded credentials is possible because Splunk AI Toolkit generates or stores credentials for connected container services using predictable or hard-coded default values. For more information see Connections tab in the AI Toolkit (https://help.splunk.com/en/splunk-cloud-platform/apply-machine-learning/use-ai-toolkit/5.7.2/ai-toolkit-commands-macros-and-visualizations/connections-tab-in-the-ai-toolkit) in the Splunk documentation.
Severity
5.4 (Medium)
CWE
- CWE-798 - The software contains hard-coded credentials, such as a password or cryptographic key, which it uses for its own inbound authentication, outbound communication to external components, or encryption of internal data.
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Splunk | Splunk AI Toolkit |
Affected:
5.7 , < 6.0.0
(custom)
|
guessed |
Date Public
2026-08-19 00:00
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"credits": [
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"lang": "en",
"type": "reporter",
"value": "Gabriel Nitu, Splunk"
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"metrics": [
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"providerMetadata": {
"dateUpdated": "2026-08-19T21:35:10.371Z",
"orgId": "d1c1063e-7a18-46af-9102-31f8928bc633",
"shortName": "cisco"
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"url": "https://advisory.splunk.com/advisories/SVD-2026-0808"
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"solutions": [
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"value": "Upgrade each affected Splunk app or add-on to the applicable fixed version listed in Product Status."
}
],
"source": {
"advisory": "SVD-2026-0808"
},
"title": "Use of Hard-coded Credentials in Container Connections in Splunk AI Toolkit",
"workarounds": [
{
"lang": "en",
"value": "Turn off or remove the Splunk AI Toolkit app. For more information see [Manage app and add-on objects](https://help.splunk.com/en/splunk-enterprise/administer/admin-manual/10.2/meet-splunk-apps/manage-app-and-add-on-objects) in the Splunk documentation. Note: turning off Splunk AI Toolkit turns off AI Toolkit Search Processing Language (SPL) commands and model operations. Splunk App for Data Science and Deep Learning and custom search commands that depend on AI Toolkit models or APIs might stop functioning. Unrelated Splunk custom search commands are not affected. For more information see [Troubleshoot the Splunk Machine Learning Toolkit](https://help.splunk.com/en/splunk-cloud-platform/apply-machine-learning/use-ai-toolkit/5.5.0/troubleshooting-mltk/troubleshoot-the-splunk-machine-learning-toolkit) and [DSDL install/version dependencies](https://help.splunk.com/en/splunk-enterprise/apply-machine-learning/splunk-app-for-data-science-and-deep-learning/5.1/install-and-configure-the-splunk-app-for-data-science-and-deep-learning/install-or-upgrade-the-splunk-app-for-data-science-and-deep-learning) in the Splunk documentation."
}
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"cveId": "CVE-2026-76392",
"datePublished": "2026-08-19T21:35:10.371Z",
"dateReserved": "2026-08-19T12:02:03.631Z",
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"state": "PUBLISHED"
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"dataType": "CVE_RECORD",
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"vulnerability-lookup:meta": {
"epss": {
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"date": "2026-08-20",
"epss": "0.00168",
"percentile": "0.06499"
},
"nvd": "{\"cve\":{\"id\":\"CVE-2026-76392\",\"sourceIdentifier\":\"psirt@cisco.com\",\"published\":\"2026-08-19T22:17:25.613\",\"lastModified\":\"2026-08-20T13:01:40.103\",\"vulnStatus\":\"Undergoing Analysis\",\"cveTags\":[],\"descriptions\":[{\"lang\":\"en\",\"value\":\"In Splunk AI Toolkit versions below 6.0.0, a user who does not hold the \\\"admin\\\" or \\\"power\\\" Splunk roles could obtain predictable or default credentials for connected container services. The use of hard-coded credentials is possible because Splunk AI Toolkit generates or stores credentials for connected container services using predictable or hard-coded default values. For more information see Connections tab in the AI Toolkit (https://help.splunk.com/en/splunk-cloud-platform/apply-machine-learning/use-ai-toolkit/5.7.2/ai-toolkit-commands-macros-and-visualizations/connections-tab-in-the-ai-toolkit) in the Splunk documentation.\"}],\"affected\":[{\"source\":\"psirt@cisco.com\",\"affectedData\":[{\"vendor\":\"Splunk\",\"product\":\"Splunk AI Toolkit\",\"versions\":[{\"version\":\"5.7\",\"lessThan\":\"6.0.0\",\"versionType\":\"custom\",\"status\":\"affected\"}]}]}],\"metrics\":{\"cvssMetricV31\":[{\"source\":\"psirt@cisco.com\",\"type\":\"Primary\",\"cvssData\":{\"version\":\"3.1\",\"vectorString\":\"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:N\",\"baseScore\":5.4,\"baseSeverity\":\"MEDIUM\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"LOW\",\"privilegesRequired\":\"LOW\",\"userInteraction\":\"NONE\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"LOW\",\"integrityImpact\":\"LOW\",\"availabilityImpact\":\"NONE\"},\"exploitabilityScore\":2.8,\"impactScore\":2.5}]},\"weaknesses\":[{\"source\":\"psirt@cisco.com\",\"type\":\"Primary\",\"description\":[{\"lang\":\"en\",\"value\":\"CWE-798\"}]}],\"references\":[{\"url\":\"https://advisory.splunk.com/advisories/SVD-2026-0808\",\"source\":\"psirt@cisco.com\"}]}}"
}
}
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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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