{"answers":{"affected":"3 open source packages ship an affected version, including mlflow. It affects 1 product.","exploited":"There is no known exploitation of CVE-2025-15381 in the wild and no public exploit code.","fix":"Apply the vendor's patch.","what":"CVE-2025-15381 is a high-severity missing authorization vulnerability in Lfprojects Mlflow, published on 27 Mar 2026. Any signed-in user can exploit it over the network, with no action from the victim."},"fix_prompt":"Check this codebase for CVE-2025-15381 and fix it if it is affected.\n\nWhat it is: CVE-2025-15381 is a high-severity missing authorization vulnerability in Lfprojects Mlflow, published on 27 Mar 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-2025-15381 in the wild and no public exploit code.\n\nAffected packages and fixed versions:\n- mlflow (PyPI): affected all versions up to 3.8.1; no fix listed\n- mlflow (PyPI): affected all versions up to 3.8.1; no fix listed\n- mlflow (PyPI): affected all versions up to 3.8.1; no fix listed\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-2025-15381/ (Markdown: https://insights.sbomify.com/CVE-2025-15381/index.md)","id":"CVE-2025-15381","markdown":"https://insights.sbomify.com/CVE-2025-15381/index.md","name":"CVE-2025-15381","record":{"aliases":["CLSA-2026-1790340259","GHSA-g6pg-52vf-843h","PYSEC-2026-2657"],"analysis":{"component_type":"server_software","fix_type":"patch","impacts":["data_read","data_modify"],"network_reachable":"yes","non_default_config":true,"product_category":"MLflow server","requires_auth":"low_privilege","summary":"Authenticated users can bypass permission checks to read trace data and create assessments in MLflow when basic-auth is enabled.","user_interaction":"not_required","vuln_class":"missing_authorization"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"@huntr_ai","cpe":[{"product":"mlflow","vendor":"lfprojects"}],"cvss":{"score":8.1,"severity":"high","source":"cna","vector":"CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N","version":"3.0"},"cwes":[{"id":"CWE-425","name":"Direct Request"},{"id":"CWE-200","name":"Exposure of Sensitive Information to an Unauthorized Actor"}],"description":"In the latest version of mlflow/mlflow, when the `basic-auth` app is enabled, tracing and assessment endpoints are not protected by permission validators. This allows any authenticated user, including those with `NO_PERMISSIONS` on the experiment, to read trace information and create assessments for traces they should not have access to. This vulnerability impacts confidentiality by exposing trace metadata and integrity by allowing unauthorized creation of assessments. Deployments using `mlflow server --app-name=basic-auth` are affected.","ecosystems":["PyPI"],"exploits":{"exploitdb":0,"first_seen":null,"github_poc":0,"max_poc_stars":null,"metasploit":0,"nuclei":0,"refs":[],"tier":"none_known"},"has_fix":true,"headline":"Unauthorized Access to Tracing and Assessment Endpoints in mlflow/mlflow","id":"CVE-2025-15381","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"PyPI","product":"lfprojects:mlflow","products":["lfprojects:mlflow"],"type":"missing_authorization","year":"2025"},"n_packages":3,"n_references":1,"next":{"headline":"Client SCP Request Triggers Buffer Overread by 1 Byte","id":"CVE-2025-15382"},"packages":[{"ecosystem":"PyPI","fixed":[],"introduced":["0"],"last_affected":["3.8.1"],"package":"mlflow","purl":null,"source":"GHSA-g6pg-52vf-843h"},{"ecosystem":"PyPI","fixed":[],"introduced":["0"],"last_affected":["3.8.1"],"package":"mlflow","purl":"pkg:pypi/mlflow","source":"GHSA-g6pg-52vf-843h"},{"ecosystem":"PyPI","fixed":[],"introduced":["0"],"last_affected":["3.8.1"],"package":"mlflow","purl":"pkg:pypi/mlflow","source":"PYSEC-2026-2657"}],"prev":{"headline":"NotificationX \u003c= 3.2.0 - Unauthenticated DOM-Based Cross-Site Scripting via 'nx-preview'","id":"CVE-2025-15380"},"products":["mlflow/mlflow"],"published":"2026-03-27","related":[{"cvss_score":9.3,"headline":"MLflow Server-Side Request Forgery","id":"CVE-2026-64849","kev_date_added":"2026-08-19","published":"2026-08-17"},{"cvss_score":10,"headline":"Command Injection in mlflow/mlflow","id":"CVE-2025-15379","kev_date_added":null,"published":"2026-03-30"},{"cvss_score":10,"headline":"Remote Code Execution due to Full Controlled File Write in mlflow/mlflow","id":"CVE-2024-0520","kev_date_added":null,"published":"2024-06-06"},{"cvss_score":10,"headline":"Path Traversal: '\\..\\filename'","id":"CVE-2023-6977","kev_date_added":null,"published":"2023-12-20"},{"cvss_score":10,"headline":"Improper Neutralization of Special Elements Used in a Template Engine in mlflow/mlflow","id":"CVE-2023-6709","kev_date_added":null,"published":"2023-12-12"},{"cvss_score":10,"headline":"MLflow Arbitrary File Upload","id":"CVE-2023-6015","kev_date_added":null,"published":"2023-11-16"},{"cvss_score":10,"headline":"MLflow Arbitrary File Write","id":"CVE-2023-6018","kev_date_added":null,"published":"2023-11-16"}],"sources":[{"class":"attribution","licence":"CVE Terms of Use (MITRE)","name":"CVE List","prefix":"CVE"},{"class":"attribution","licence":"CC BY 4.0","name":"GitHub Advisory Database","prefix":"GHSA"},{"class":"attribution","licence":"CC BY 4.0","name":"PyPA Advisory Database","prefix":"PYSEC"},{"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":"2026-07-15","vendors":["mlflow"]},"summary":"Authenticated users can bypass permission checks to read trace data and create assessments in MLflow when basic-auth is enabled.","url":"https://insights.sbomify.com/CVE-2025-15381/"}