Vulnerability Description
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 Score
HIGH
Affected Products
| Vendor | Product | Versions |
|---|---|---|
| Splunk | Ai Toolkit | >= 5.7.0, < 6.0.0 |
Related Weaknesses (CWE)
References
- https://advisory.splunk.com/advisories/SVD-2026-0808Vendor Advisory
FAQ
What is CVE-2026-76395?
CVE-2026-76395 is a vulnerability with a CVSS score of 8.8 (HIGH). 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...
How severe is CVE-2026-76395?
CVE-2026-76395 has been rated HIGH with a CVSS base score of 8.8/10. Review the CVSS metrics above for detailed severity breakdown.
Is there a patch for CVE-2026-76395?
Check the references section above for vendor advisories and patch information. Affected products include: Splunk Ai Toolkit.