{"id":"CVE-2024-27133","aliases":["BIT-mlflow-2024-27133","CLSA-2026-1775781174","EUVD-2024-0494","GHSA-3v79-q7ph-j75h","PYSEC-2024-241"],"status":"published","title":"Insufficient sanitization in MLflow leads to XSS when running a recipe that uses an untrusted dataset.","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.","severity":{"version":"3.1","score":7.5,"vector":"CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H","level":"high","assessor":"cna","from":"cve"},"epss":{"day":"2026-11-10","score":0.00651,"percentile":0.51535,"model":"v2026.06.15"},"facts":{"in_kev":false,"known_exploited":false,"public_exploit":false,"fix_available":true},"cwes":["CWE-79"],"published":"2024-02-23T22:00:33Z","modified":"2026-10-28T02:31:10Z","fixes":[{"ecosystem":"PyPI","package":"mlflow","fixed_in":["2.10.0"],"sources":["ghsa","osv"]},{"ecosystem":"Bitnami","package":"mlflow","fixed_in":["2.10.0"],"sources":["osv"]}],"affected":[{"source":"ghsa","ecosystem":"PyPI","package":"mlflow","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"2.10.0"}]}]},{"source":"osv","ecosystem":"Bitnami","package":"mlflow","ranges":[{"type":"SEMVER","events":[{"introduced":"0"},{"fixed":"2.10.0"}]}]},{"source":"osv","ecosystem":"TuxCare:PyPI","package":"mlflow","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.9.1"},{"fixed":"2.9.1.post2+tuxcare"}]}],"versions":["2.9.1","2.9.1.post1+tuxcare"],"bundled":14},{"source":"osv","ecosystem":"PyPI","package":"mlflow","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"2.10.0"}]}],"versions":["0.0.1","0.1.0","0.2.0","0.2.1","0.3.0","0.4.0","0.4.1","0.4.2","0.5.0","0.5.1","0.5.2","0.6.0","0.7.0","0.8.0","0.8.1","0.8.2","0.9.0","0.9.0.1","0.9.1","1.0.0","1.1.0","1.1.1.dev0","1.10.0","1.11.0","1.12.0","1.12.1","1.13","1.13.1","1.14.0","1.14.1","1.15.0","1.16.0","1.17.0","1.18.0","1.19.0","1.2.0","1.20.0","1.20.1","1.20.2","1.21.0","1.22.0","1.23.0","1.23.1","1.24.0","1.25.0","1.25.1","1.26.0","1.26.1","1.27.0","1.28.0","1.29.0","1.3.0","1.30.0","1.30.1","1.4.0","1.5.0","1.6.0","1.7.0","1.7.1","1.7.2","1.8.0","1.9.0","1.9.1","2.0.0","2.0.0rc0","2.0.1","2.1.0","2.1.1","2.2.0","2.2.1","2.2.2","2.3.0","2.3.1","2.3.2","2.4.0","2.4.1","2.4.2","2.5.0","2.6.0","2.7.0","2.7.1","2.8.0","2.8.1","2.9.0","2.9.1","2.9.2"]},{"source":"osv","ecosystem":"PyPI","package":"mlflow","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"2.10.0"}]}],"versions":["0.0.1","0.1.0","0.2.0","0.2.1","0.3.0","0.4.0","0.4.1","0.4.2","0.5.0","0.5.1","0.5.2","0.6.0","0.7.0","0.8.0","0.8.1","0.8.2","0.9.0","0.9.0.1","0.9.1","1.0.0","1.1.0","1.1.1.dev0","1.10.0","1.11.0","1.12.0","1.12.1","1.13","1.13.1","1.14.0","1.14.1","1.15.0","1.16.0","1.17.0","1.18.0","1.19.0","1.2.0","1.20.0","1.20.1","1.20.2","1.21.0","1.22.0","1.23.0","1.23.1","1.24.0","1.25.0","1.25.1","1.26.0","1.26.1","1.27.0","1.28.0","1.29.0","1.3.0","1.30.0","1.30.1","1.4.0","1.5.0","1.6.0","1.7.0","1.7.1","1.7.2","1.8.0","1.9.0","1.9.1","2.0.0","2.0.0rc0","2.0.1","2.1.0","2.1.1","2.2.0","2.2.1","2.2.2","2.3.0","2.3.1","2.3.2","2.4.0","2.4.1","2.4.2","2.5.0","2.6.0","2.7.0","2.7.1","2.8.0","2.8.1","2.9.0","2.9.1","2.9.2"]}],"products":[{"vendor":"lfprojects","product":"mlflow"}],"references":[{"url":"https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932/","tags":["x_transferred","Exploit","Third Party Advisory","advisory","web","evidence"]},{"url":"https://github.com/mlflow/mlflow/pull/10893","tags":["x_transferred","Issue Tracking","Patch","fix","web","report"]},{"url":"https://nvd.nist.gov/vuln/detail/CVE-2024-27133","tags":["web","advisory"]},{"url":"https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932","tags":["web"]},{"url":"https://github.com/mlflow/mlflow/commit/c43823750bffa5b6abcc086683b15a068513b67b","tags":["web"]},{"url":"https://github.com/mlflow/mlflow/commit/cfa71879a884cc3520e23ccab998c9aa78fdf2b1","tags":["web"]},{"url":"https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2024-241.yaml","tags":["web"]},{"url":"https://github.com/advisories/GHSA-3v79-q7ph-j75h","tags":["web","advisory"]},{"url":"https://github.com/CVEProject/cvelistV5/tree/main/cves/2024/27xxx/CVE-2024-27133.json","tags":["advisory"]},{"url":"https://pypi.org/project/pip","tags":["package"]},{"url":"https://github.com/mlflow/mlflow","tags":["package"]}],"sources":{"cve":[{"id":"CVE-2024-27133","title":"Insufficient sanitization in MLflow leads to XSS when running a recipe that uses an untrusted dataset.","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.","status":"published","published":"2024-02-23T22:00:33.124Z","modified":"2024-08-22T18:01:49.002Z","cvss":[{"version":"3.1","score":7.5,"vector":"CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H","level":"high","assessor":"cna"}],"cwes":["CWE-79"],"updated_at":"2026-11-02T14:34:12.982241Z"}],"euvd":[{"id":"EUVD-2024-0494","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.","status":"published","published":"2024-02-23T22:00:33Z","modified":"2024-08-22T18:01:49Z","cvss":[{"version":"3.1","score":7.5,"vector":"CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H","level":"high"}],"updated_at":"2026-11-03T00:56:13.216602Z"}],"ghsa":[{"id":"GHSA-3v79-q7ph-j75h","title":"MLFlow Cross-site Scripting vulnerability leads to client-side Remote Code Execution","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.","status":"published","published":"2024-02-24T00:30:20Z","modified":"2026-03-15T05:01:48Z","cvss":[{"version":"3.1","score":9.6,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H","level":"critical"}],"cwes":["CWE-79"],"updated_at":"2026-11-02T14:39:36.642723Z"}],"nvd":[{"id":"CVE-2024-27133","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.","status":"published","published":"2024-02-23T22:15:55.287Z","modified":"2026-06-17T07:19:13.42Z","cvss":[{"version":"3.1","score":7.5,"vector":"CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H","level":"high","assessor":"secondary"},{"version":"3.1","score":9.6,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H","level":"critical","assessor":"primary"}],"cwes":["CWE-79"],"updated_at":"2026-11-02T14:09:37.655131Z"}],"osv":[{"id":"CVE-2024-27133","title":"Insufficient sanitization in MLflow leads to XSS when running a recipe that uses an untrusted dataset.","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.","status":"published","published":"2024-02-23T22:00:33.124Z","modified":"2026-10-28T02:31:10.976392412Z","cvss":[{"version":"3.1","score":7.5,"vector":"CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H","level":"high"}],"cwes":["CWE-79"],"updated_at":"2026-11-02T15:44:39.569658Z"},{"id":"GHSA-3v79-q7ph-j75h","title":"MLFlow Cross-site Scripting vulnerability leads to client-side Remote Code Execution","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.","status":"published","published":"2024-02-24T00:30:20Z","modified":"2025-04-08T22:30:59.347458Z","cvss":[{"version":"3.1","score":9.6,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H","level":"critical"}],"cwes":["CWE-79"],"updated_at":"2026-11-02T15:46:36.092962Z"},{"id":"PYSEC-2024-241","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.","status":"published","published":"2024-02-23T22:15:55Z","modified":"2026-06-10T17:01:26.483700507Z","cvss":[{"version":"3.1","score":9.6,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H","level":"critical"}],"updated_at":"2026-11-02T15:52:54.242332Z"},{"id":"BIT-mlflow-2024-27133","title":"Insufficient sanitization in MLflow leads to XSS when running a recipe that uses an untrusted dataset.","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.","status":"published","published":"2024-03-31T18:21:40.53Z","modified":"2026-09-08T08:48:13.721978187Z","updated_at":"2026-11-02T15:28:33.072289Z"},{"id":"CLSA-2026-1775781174","title":"TuxCare security update for mlflow (14 CVEs)","description":"TuxCare rebuilt mlflow to address 14 CVEs. Fixed in 2.9.1.post2+tuxcare.","status":"published","published":"2026-08-04T14:52:24Z","modified":"2026-10-20T13:58:26.249280478Z","updated_at":"2026-11-02T15:43:44.009773Z"}]}}