CVE-2024-27133: Insufficient sanitization in MLflow leads to XSS when running a recipe that uses an untrusted dataset.
First published: Fri Feb 23 2024(Updated: )
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.
Credit: reefs@jfrog.com reefs@jfrog.com
| Affected Software | Affected Version | How to fix |
|---|---|---|
| pip/mlflow | <2.10.0 | 2.10.0 |
| Lfprojects Mlflow | <=2.9.2 |
Never miss a vulnerability like this again
Sign up to SecAlerts for real-time vulnerability data matched to your software, aggregated from hundreds of sources.
Reference Links
- https://github.com/mlflow/mlflow/pull/10893
- https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932/
- https://nvd.nist.gov/vuln/detail/CVE-2024-27133
- https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932
- https://github.com/mlflow/mlflow/commit/c43823750bffa5b6abcc086683b15a068513b67b
- https://github.com/advisories/GHSA-3v79-q7ph-j75h (Advisory)
- https://github.com/mlflow/mlflow/commit/cfa71879a884cc3520e23ccab998c9aa78fdf2b1
- agent/title
- agent/weakness
- agent/type
- agent/first-publish-date
- agent/description
- collector/nvd-api
- source/NVD
- agent/event
- agent/author
- collector/epss-latest
- source/FIRST
- agent/epss
- agent/references
- collector/github-advisory
- source/GitHub
- alias/GHSA-3v79-q7ph-j75h
- alias/CVE-2024-27133
- agent/software-canonical-lookup
- collector/mitre-cve
- source/MITRE
- agent/trending
- agent/source
- collector/github-advisory-latest
- collector/nvd-cve
- agent/remedy
- agent/last-modified-date
- agent/severity
- agent/tags
- agent/softwarecombine
- package-manager/pip
- vendor/lfprojects
- canonical/lfprojects mlflow
- version/lfprojects mlflow/2.9.2