{"answers":{"affected":"4 open source packages ship an affected version, including mlflow. It affects 1 product.","exploited":"It is not confirmed as exploited in the wild, but public exploit code for CVE-2024-27133 exists.","fix":"Upgrade mlflow to 2.10.0 or later.","what":"CVE-2024-27133 is a high-severity cross-site scripting vulnerability in Lfprojects Mlflow, published on 23 Feb 2024. An attacker can exploit it over the internet without logging in, and only if a user opens a file or follows a link."},"fix_prompt":"Check this codebase for CVE-2024-27133 and fix it if it is affected.\n\nWhat it is: CVE-2024-27133 is a high-severity cross-site scripting vulnerability in Lfprojects Mlflow, published on 23 Feb 2024. An attacker can exploit it over the internet without logging in, and only if a user opens a file or follows a link.\nExploitation: It is not confirmed as exploited in the wild, but public exploit code for CVE-2024-27133 exists.\n\nAffected packages and fixed versions:\n- mlflow (Bitnami): affected all versions; fixed in 2.10.0\n- mlflow (PyPI): affected all versions; fixed in 2.10.0\n- mlflow (PyPI): affected all versions; fixed in 2.10.0\n- mlflow (PyPI): affected all versions; fixed in 2.10.0\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-2024-27133/ (Markdown: https://insights.sbomify.com/CVE-2024-27133/index.md)","id":"CVE-2024-27133","markdown":"https://insights.sbomify.com/CVE-2024-27133/index.md","name":"CVE-2024-27133","record":{"aliases":["BIT-mlflow-2024-27133","GHSA-3v79-q7ph-j75h","PYSEC-2024-241"],"analysis":{"component_type":"library","fix_type":"upgrade","impacts":["code_execution"],"network_reachable":"yes","non_default_config":false,"product_category":"MLflow machine learning library","requires_auth":"none","summary":"Attackers can execute arbitrary code via XSS in Jupyter Notebook when processing untrusted datasets in MLflow.","user_interaction":"required","vuln_class":"xss"},"analysis_generated_by":"qwen3.8-flash-next","assigner":"JFROG","cpe":[{"product":"mlflow","vendor":"lfprojects"}],"cvss":{"score":7.5,"severity":"high","source":"cna","vector":"CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H","version":"3.1"},"cwes":[{"id":"CWE-79","name":"Improper Neutralization of Input During Web Page Generation"}],"description":"Insufficient sanitization in MLflow leads to XSS when running a recipe that uses an untrusted dataset. This issue leads to a client-side RCE when running the recipe in Jupyter Notebook. The vulnerability stems from lack of sanitization over dataset table fields.","ecosystems":["Bitnami","PyPI"],"exploits":{"exploitdb":0,"first_seen":null,"github_poc":0,"max_poc_stars":null,"metasploit":0,"nuclei":0,"refs":[],"tier":"weaponised"},"has_fix":true,"headline":"Insufficient sanitization in MLflow leads to XSS when running a recipe that uses an untrusted dataset.","id":"CVE-2024-27133","indexable":true,"kev":null,"kind":"cve","links":{"ecosystem":"Bitnami","product":"lfprojects:mlflow","products":["lfprojects:mlflow"],"type":"xss","year":"2024"},"n_packages":4,"n_references":2,"next":{"headline":"Excessive directory permissions in MLflow leads to local privilege escalation when using spark_udf","id":"CVE-2024-27134"},"packages":[{"ecosystem":"Bitnami","fixed":["2.10.0"],"introduced":["0"],"last_affected":[],"package":"mlflow","purl":"pkg:bitnami/mlflow","source":"BIT-mlflow-2024-27133"},{"ecosystem":"PyPI","fixed":["2.10.0"],"introduced":["0"],"last_affected":[],"package":"mlflow","purl":null,"source":"GHSA-3v79-q7ph-j75h"},{"ecosystem":"PyPI","fixed":["2.10.0"],"introduced":["0"],"last_affected":[],"package":"mlflow","purl":"pkg:pypi/mlflow","source":"GHSA-3v79-q7ph-j75h"},{"ecosystem":"PyPI","fixed":["2.10.0"],"introduced":["0"],"last_affected":[],"package":"mlflow","purl":"pkg:pypi/mlflow","source":"PYSEC-2024-241"}],"prev":{"headline":"Insufficient sanitization in MLflow leads to XSS when running an untrusted recipe.","id":"CVE-2024-27132"},"products":["lfprojects:mlflow"],"published":"2024-02-23","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":"no","exploitation":"poc","technical_impact":"partial"},"state":"PUBLISHED","updated":"2024-08-22","vendors":["lfprojects"]},"summary":"Attackers can execute arbitrary code via XSS in Jupyter Notebook when processing untrusted datasets in MLflow.","url":"https://insights.sbomify.com/CVE-2024-27133/"}