CVE-2026-76395
HIGH
8,8
Source: [email protected]
Attack Vector: network
Attack Complexity: low
Privileges Required: low
User Interaction: none
Scope: unchanged
Confidentiality: high
Integrity: high
Availability: high
Description
AI Translation Available
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.
502
Deserialization of Untrusted Data
DraftCommon Consequences
Security Scopes Affected:
Integrity
Availability
Other
Potential Impacts:
Modify Application Data
Unexpected State
Dos: Resource Consumption (Cpu)
Varies By Context
Applicable Platforms
Languages:
Java, Ruby, PHP, Python, JavaScript
Technologies:
Not Technology-Specific, ICS/OT, AI/ML
https://advisory.splunk.com/advisories/SVD-2026-0808