{"answers":{"affected":"4 open source packages ship an affected version, including mlflow. It affects 1 product.","exploited":"There is no known exploitation of CVE-2023-6975 in the wild and no public exploit code.","fix":"Upgrade mlflow to 2.9.2 or later.","what":"CVE-2023-6975 is a critical path traversal vulnerability in Lfprojects Mlflow, published on 20 Dec 2023. An attacker can exploit it over the internet without logging in, with no action from the victim."},"fix_prompt":"Check this codebase for CVE-2023-6975 and fix it if it is affected.\n\nWhat it is: CVE-2023-6975 is a critical path traversal vulnerability in Lfprojects Mlflow, published on 20 Dec 2023. An attacker can exploit it over the internet without logging in, with no action from the victim.\nExploitation: There is no known exploitation of CVE-2023-6975 in the wild and no public exploit code.\n\nAffected packages and fixed versions:\n- mlflow (Bitnami): affected all versions; fixed in 2.9.2\n- mlflow (PyPI): affected all versions; fixed in 2.9.2\n- mlflow (PyPI): affected all versions; fixed in 2.9.2\n- mlflow (PyPI): affected all versions; fixed in 2.9.2\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-2023-6975/ (Markdown: https://insights.sbomify.com/CVE-2023-6975/index.md)","id":"CVE-2023-6975","markdown":"https://insights.sbomify.com/CVE-2023-6975/index.md","name":"CVE-2023-6975","record":{"aliases":["BIT-mlflow-2023-6975","GHSA-hh8p-p8mp-gqhm","PYSEC-2026-422"],"analysis":{"component_type":"library","fix_type":"upgrade","impacts":["code_execution","data_read"],"network_reachable":"yes","non_default_config":false,"product_category":"MLflow machine learning library","requires_auth":"none","summary":"A malicious user can exploit path traversal to achieve command execution and access sensitive data and models in MLflow.","user_interaction":"not_required","vuln_class":"path_traversal"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"@huntr_ai","cpe":[{"product":"mlflow","vendor":"lfprojects"}],"cvss":{"score":9.8,"severity":"critical","source":"cna","vector":"CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H","version":"3.0"},"cwes":[{"id":"CWE-29","name":"Path Traversal: '\\..\\filename'"}],"description":"A malicious user could use this issue to get command execution on the vulnerable machine and get access to data \u0026 models information.","ecosystems":["Bitnami","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":"Path Traversal: '\\..\\filename'","id":"CVE-2023-6975","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"Bitnami","product":"lfprojects:mlflow","products":["lfprojects:mlflow"],"type":"path_traversal","year":"2023"},"n_packages":4,"n_references":2,"next":{"headline":"Unrestricted Upload of File with Dangerous Type","id":"CVE-2023-6976"},"packages":[{"ecosystem":"Bitnami","fixed":["2.9.2"],"introduced":["0"],"last_affected":[],"package":"mlflow","purl":"pkg:bitnami/mlflow","source":"BIT-mlflow-2023-6975"},{"ecosystem":"PyPI","fixed":["2.9.2"],"introduced":["0"],"last_affected":[],"package":"mlflow","purl":null,"source":"GHSA-hh8p-p8mp-gqhm"},{"ecosystem":"PyPI","fixed":["2.9.2"],"introduced":["0"],"last_affected":[],"package":"mlflow","purl":"pkg:pypi/mlflow","source":"GHSA-hh8p-p8mp-gqhm"},{"ecosystem":"PyPI","fixed":["2.9.2"],"introduced":["0"],"last_affected":[],"package":"mlflow","purl":"pkg:pypi/mlflow","source":"PYSEC-2026-422"}],"prev":{"headline":"Server-Side Request Forgery (SSRF)","id":"CVE-2023-6974"},"products":["mlflow/mlflow"],"published":"2023-12-20","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":"Apache-2.0","name":"Bitnami","prefix":"BIT"},{"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":null,"exploitation":null,"technical_impact":null},"state":"PUBLISHED","updated":"2024-08-02","vendors":["mlflow"]},"summary":"A malicious user can exploit path traversal to achieve command execution and access sensitive data and models in MLflow.","url":"https://insights.sbomify.com/CVE-2023-6975/"}