CVE-2026-76396

Published Aug 19, 2026

Last updated 20 days ago

CVSS high 7.5

Overview

Description
In Splunk AI Toolkit versions below 6.0.0, a user that holds a role with the schedule_search capability could cause a scheduled search to load and deserialize a model file through the apply search command. The improper access control is possible because Splunk AI Toolkit does not mark the apply search command as risky. For more information see Troubleshoot the AI Toolkit (https://help.splunk.com/en/splunk-enterprise/apply-machine-learning/use-ai-toolkit/5.7.3/troubleshooting-the-ai-toolkit/troubleshoot-the-ai-toolkit) in the Splunk documentation.
Source
psirt@cisco.com
NVD status
Analyzed
Products
ai_toolkit

Risk scores

CVSS 3.1

Type
Secondary
Base score
7.5
Impact score
5.9
Exploitability score
1.6
Vector string
CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H
Severity
HIGH

Weaknesses

psirt@cisco.com
CWE-269

Social media

Hype score
Not currently trending

Configurations

Related CVEs

  1. In Splunk AI Toolkit versions below 6.0.1, a user who holds the "power" Splunk role could modify app-provided scheduled searches to run arbitrary Search Processing Language (SPL) using the permissions of the search owner, which could allow access to all relevant data and affect system integrity. The vulnerability is possible because Splunk AI Toolkit gives the "power" Splunk role permission to modify scheduled searches that run using the permissions of the search owner.•CVE-2026-76399
  2. In Splunk AI Toolkit versions below 6.0.1, a user who does not hold the "admin" or "power" Splunk roles could delete the experiment history of another user without permission through the Representational State Transfer (REST) API. The vulnerability is possible because Splunk AI Toolkit deletes experiment history before it verifies that the user can delete the associated experiment. For more information see Experiment Assistants (https://help.splunk.com/en/splunk-cloud-platform/apply-machine-learning/use-ai-toolkit/5.6.4/experiment-assistants) in the Splunk documentation.•CVE-2026-76398
  3. In Splunk AI Toolkit versions below 6.0.0, a user who holds the "power" Splunk role could access and delete all relevant data in experiment history, including data associated with other users. The vulnerability is possible because Splunk AI Toolkit does not preserve the trusted experiment scope when it processes caller-controlled query values before accessing restricted history data. For more information see Experiment Assistants (https://help.splunk.com/en/splunk-cloud-platform/apply-machine-learning/use-ai-toolkit/5.6.4/experiment-assistants) in the Splunk documentation.•CVE-2026-76397
  4. 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.•CVE-2026-76395
  5. In Splunk AI Toolkit versions below 6.0.0, a low-privileged user who does not hold the "admin" or "power" Splunk roles could start, stop, and configure containers, and read or modify connection and configuration data through the Representational State Transfer (REST) API. The missing authorization is possible because multiple REST API handlers in Splunk AI Toolkit do not enforce authorization checks. 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.•CVE-2026-76394

References

Sources include official advisories and independent security research.