Deserialization in Splunk Ai Toolkit

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.

Vulnerability class: Insecure Deserialization

CVSS v3 metric

CVSS v3 base score 8.8 (High). Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H.

Affected products

Weakness classification (CWE)

References

Frequently asked questions

What is CVE-2026-76395?
CVE-2026-76395 is a high-severity vulnerability in Splunk Ai Toolkit, classified under Deserialization of Untrusted Data. CVSS score: 8.8/10. Published 2026-08-19.
How severe is CVE-2026-76395?
High severity. CVSS v3 base score is 8.8 out of 10.