Description

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.

Executive Summary

Technical Details

Mitigations

References

Additional Metadata

{
  "score": "5.4",
  "pubDate": "2026-08-19T22:17:25.613Z",
  "pubdate": "2026-08-19T22:17:25.613Z",
  "executiveSummary": "Splunk AI Toolkit versions below 6.0.0 are affected by a hard-coded or predictable credentials vulnerability within connected container services management.\nThe vulnerability allows a low-privileged user lacking 'admin' or 'power' Splunk roles to obtain default or predictable authentication secrets associated with backend containerized infrastructure.\nThe risk implications include unauthorized access to connected container services, potential lateral movement, and compromise of underlying machine learning pipelines or associated data stores.\nAn attacker must possess low-level access to the Splunk platform without requiring administrative privileges, leveraging the predictable credential generation or storage mechanisms implemented by the Connections tab functionality.\nExploitation requires the targeted deployment to be running a vulnerable version of the product where container service credentials are initialized using insecure default values.",
  "technicalDetails": "The root cause of the vulnerability stems from the use of hard-coded or predictable default values when the Splunk AI Toolkit generates or stores credentials for connected container services.\nThe vulnerable component involves the credential management logic tied to the Connections tab within the AI Toolkit, documented under the official Splunk documentation path for AI Toolkit connections.\nAffected software versions include all iterations of the Splunk AI Toolkit below version 6.0.0.\nAuthentication and privilege requirements are minimal for exploitation; a standard user who does not hold the elevated 'admin' or 'power' Splunk roles can successfully retrieve these sensitive secrets due to improper access control and insecure secret generation.\nThe attack flow begins with a standard, unprivileged user accessing the affected Splunk AI Toolkit environment.\nDue to the implementation flaw, the application relies on deterministic generation routines or static fallback values to establish credentials for backend container services.\nThe user queries or accesses the underlying storage mechanisms or interface endpoints governing the Connections tab, allowing them to read the predictable or hard-coded credentials.\nOnce the credentials are exposed, the attacker can leverage them to authenticate directly to the connected container services, bypassing standard security barriers.\nPost-exploitation impact includes unauthorized interaction with containerized microservices, potential data exfiltration from machine learning datasets, execution of arbitrary commands within the container ecosystem depending on service configurations, and further compromise of the auxiliary infrastructure supporting the Splunk AI Toolkit."
}