{"answers":{"affected":"It affects 1 product.","exploited":"There is no known exploitation of CVE-2026-76396 in the wild and no public exploit code.","fix":"No fix has been published for CVE-2026-76396 yet. Limit exposure of the affected software until one is available.","what":"CVE-2026-76396 is a high-severity missing authorization vulnerability in Splunk AI Toolkit, published on 19 Aug 2026. Any signed-in user can exploit it over the network, with no action from the victim."},"fix_prompt":"Check this codebase for CVE-2026-76396 and fix it if it is affected.\n\nWhat it is: CVE-2026-76396 is a high-severity missing authorization vulnerability in Splunk AI Toolkit, published on 19 Aug 2026. Any signed-in user can exploit it over the network, with no action from the victim.\nExploitation: There is no known exploitation of CVE-2026-76396 in the wild and no public exploit code.\n\nAffected product: Splunk AI Toolkit. No package-level version data is available, so check the vendor advisory linked from the reference page.\n\nTask:\n1. Search the dependency manifests and lockfiles (for example package.json, package-lock.json, requirements.txt, poetry.lock, uv.lock, pom.xml, build.gradle, go.mod, Cargo.lock, Gemfile.lock) and any Dockerfiles for the affected packages, including transitive dependencies.\n2. If an affected version is in use, upgrade it to the fixed version for its release line with the project's package manager, so the lockfile is regenerated. Prefer the smallest upgrade that fixes it.\n3. If there is no fix, or the upgrade would break the build, do not guess: explain the risk and the safest workaround instead.\n4. Run the tests and summarise what changed and why.\n5. If nothing in the project is affected, say so and change nothing.\n\nReference: https://insights.sbomify.com/CVE-2026-76396/ (Markdown: https://insights.sbomify.com/CVE-2026-76396/index.md)","id":"CVE-2026-76396","markdown":"https://insights.sbomify.com/CVE-2026-76396/index.md","name":"CVE-2026-76396","record":{"aliases":["GHSA-7f6r-w4cf-54v3"],"analysis":{"component_type":"server_software","fix_type":"upgrade","impacts":["code_execution"],"network_reachable":"yes","non_default_config":false,"product_category":"Splunk AI Toolkit","requires_auth":"low_privilege","summary":"A user with schedule_search capability can trigger deserialization of a model file, potentially leading to code execution due to missing risk marking on the apply search command.","user_interaction":"not_required","vuln_class":"missing_authorization"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"cisco","cpe":[{"product":"ai_toolkit","vendor":"splunk"}],"cvss":{"score":7.5,"severity":"high","source":"cna","vector":"CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H","version":"3.1"},"cwes":[{"id":"CWE-269","name":"Improper Privilege Management"}],"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.","ecosystems":[],"exploits":{"exploitdb":0,"first_seen":null,"github_poc":0,"max_poc_stars":null,"metasploit":0,"nuclei":0,"refs":[],"tier":"none_known"},"has_fix":null,"headline":"Improper Access Control through Scheduled Searches in Splunk AI Toolkit","id":"CVE-2026-76396","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":null,"product":null,"products":[],"type":"missing_authorization","year":"2026"},"n_packages":0,"n_references":1,"next":{"headline":"Improper Access Control in Experiment History through the REST API in Splunk AI Toolkit","id":"CVE-2026-76397"},"packages":[],"prev":{"headline":"Deserialization in Splunk AI Toolkit","id":"CVE-2026-76395"},"products":["Splunk AI Toolkit"],"published":"2026-08-19","related":[{"cvss_score":9.1,"headline":"OS Command Injection in the btool Configuration Helper in Splunk AI Toolkit","id":"CVE-2026-20266","kev_date_added":null,"published":"2026-06-17"},{"cvss_score":8.8,"headline":"Deserialization in Splunk AI Toolkit","id":"CVE-2026-76395","kev_date_added":null,"published":"2026-08-19"},{"cvss_score":8.3,"headline":"Improper Privilege Management through Agent Run History in Splunk AI Toolkit","id":"CVE-2026-76391","kev_date_added":null,"published":"2026-08-19"},{"cvss_score":8.3,"headline":"Missing Authorization in Container and Connection Management through the REST API in Splunk AI Toolkit","id":"CVE-2026-76394","kev_date_added":null,"published":"2026-08-19"},{"cvss_score":8.1,"headline":"Improper Access Control in Experiment History through the REST API in Splunk AI Toolkit","id":"CVE-2026-76397","kev_date_added":null,"published":"2026-08-19"},{"cvss_score":8.1,"headline":"Incorrect Permission Assignment for Scheduled Searches in Splunk AI Toolkit","id":"CVE-2026-76399","kev_date_added":null,"published":"2026-08-19"}],"sources":[{"class":"attribution","licence":"CVE Terms of Use (MITRE)","name":"CVE List","prefix":"CVE"},{"class":"attribution","licence":"US public information, NVD API terms","name":"NVD"},{"class":"attribution","licence":"CWE Terms of Use","name":"CWE (MITRE)"},{"class":"attribution","licence":"FIRST CVSS licence","name":"CVSS (FIRST)"}],"ssvc":{"automatable":"no","exploitation":"none","technical_impact":"total"},"state":"PUBLISHED","updated":"2026-08-20","vendors":["Splunk"]},"summary":"A user with schedule_search capability can trigger deserialization of a model file, potentially leading to code execution due to missing risk marking on the apply search command.","url":"https://insights.sbomify.com/CVE-2026-76396/"}