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.
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.
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.
In Cisco Talos Intelligence for Enterprise Security Cloud versions below 1.0.3, a user that holds a role with the get_talos_enrichment capability could send a crafted request to the Talos intelligence enrichment Representational State Transfer (REST) API endpoint and cause the instance to make an outbound request to an attacker-controlled server. The request could expose tokens that compromise all relevant data and system integrity in the Splunk instance. The vulnerability is possible because the Talos intelligence enrichment REST endpoint accepts the destination for authenticated Splunk management requests from request data. For more information see Deploy Cisco Talos Intelligence for Splunk Enterprise Security (https://help.splunk.com/en/splunk-enterprise-security-8/user-guide/8.0/introduction/deploy-cisco-talos-intelligence-for-splunk-enterprise-security-cloud-only) in the Splunk documentation.
In Cisco Talos Intelligence for Enterprise Security Cloud versions below 1.0.3, an unauthenticated user could access the add-on OpenAPI specification through Splunk Web static file paths. The exposed specification could allow for reconnaissance of the add-on Representational State Transfer (REST) API endpoints and authentication model. The vulnerability is possible because the generated OpenAPI specification is packaged in a static file path that Splunk Web serves without authentication. For more information see Deploy Cisco Talos Intelligence for Splunk Enterprise Security (https://help.splunk.com/en/splunk-enterprise-security-8/user-guide/8.0/introduction/deploy-cisco-talos-intelligence-for-splunk-enterprise-security-cloud-only) in the Splunk documentation.
In Splunk AI Toolkit versions below 6.0.0, a user who does not hold the "admin" or "power" Splunk roles could run searches with system-level privileges, access all relevant data, affect system integrity, and read or delete search jobs belonging to other users through Agent Run History. The improper privilege management is possible because the Agent Run History handler replaces the calling user session key with a system authentication token before it performs search operations. For more information see AI Toolkit Agent Launchpad (https://help.splunk.com/en/splunk-enterprise/apply-machine-learning/use-ai-toolkit/6.0.0/ai-toolkit-connections-containers-and-agents/ai-toolkit-agent-launchpad) in the Splunk documentation.
In Splunk AI Toolkit versions below 6.0.0, a user who does not hold the "admin" or "power" Splunk roles could obtain predictable or default credentials for connected container services. The use of hard-coded credentials is possible because Splunk AI Toolkit generates or stores credentials for connected container services using predictable or hard-coded default values. For more information see Connections tab in the AI Toolkit (https://help.splunk.com/en/splunk-cloud-platform/apply-machine-learning/use-ai-toolkit/5.7.2/ai-toolkit-commands-macros-and-visualizations/connections-tab-in-the-ai-toolkit) in the Splunk documentation.
In Splunk AI Toolkit versions below 6.0.0, a user who can upload models could overwrite a model being uploaded by another user by sending a concurrent upload request for the same model name, causing the resulting model lookup entry to reference attacker-controlled content. The race condition is possible because Splunk AI Toolkit does not verify that the uploaded content belongs to the request that creates the model lookup entry. 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.
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.
In Splunk SOAR versions below 8.6.0, a user with a valid Splunk SOAR account could use Representational State Transfer (REST) API filtering on playbook runs to recover session tokens that compromise all data available to the affected user. The information disclosure is possible because Splunk SOAR does not block REST API filters from matching values that responses otherwise hide. For more information see REST Run Playbook (https://help.splunk.com/en/splunk-soar/soar-cloud/rest-api-reference/run-playbook-endpoints/rest-run-playbook) in the Splunk documentation.