CVE-2026-76395

In Splunk AI Toolkit versions below 6.0.0, a user who holds the "power" Splunk role could execute arbitrary code on the Splunk server by loading a model file containing crafted sparse matrix data. The deserialization of untrusted data is possible because a model codec in Splunk AI Toolkit deserializes sparse matrix data without guarding against embedded pickle content. For more information see Troubleshoot the Splunk Machine Learning Toolkit (https://help.splunk.com/en/splunk-cloud-platform/apply-machine-learning/machine-learning-toolkit-user-guide/5.5.0/troubleshooting-mltk/troubleshoot-the-splunk-machine-learning-toolkit) in the Splunk documentation.

CVSS v3 8.8 HIGH

8.8^/10

CVSS v3 : HIGH

Vector :

Exploitability : 2.8 / Impact : 5.9

Attack Vector NETWORK

Attack Complexity LOW

Privileges Required LOW

User Interaction NONE

Confidentiality Impact HIGH

Integrity Impact HIGH

Availability Impact HIGH

Scope UNCHANGED

References

Link	Resource
https://advisory.splunk.com/advisories/SVD-2026-0808	Vendor Advisory

Configurations

Configuration 1 (hide)

cpe:2.3:a:splunk:ai_toolkit:*:*:*:*:*:*:*:*

History

No history.

Information

Published : 2026-08-19 22:17

Updated : 2026-08-26 20:18

NVD link : CVE-2026-76395

Mitre link : CVE-2026-76395

CVE.ORG link : CVE-2026-76395

JSON object : View

Products Affected

splunk

ai_toolkit

CWE

CWE-502

Deserialization of Untrusted Data

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