CVE-2024-27133

    Dashboard / Vulnerabilities / CVE-2024-27133

    CVE-2024-27133

    Published: 23 Feb 2024Last Modified: 12 Aug 2026

    Summary: Insufficient sanitization in MLflow leads to XSS when running a recipe that uses an untrusted dataset.

    Details: 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.

    References: https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932/, https://github.com/CVEProject/cvelistV5/tree/main/cves/2024/27xxx/CVE-2024-27133.json, https://nvd.nist.gov/vuln/detail/CVE-2024-27133, https://github.com/mlflow/mlflow/pull/10893, https://pypi.org/project/pip

    Affected packages

    Package

    Name:

    Purl:

    Affected ranges

    Type: GIT

    Events:

    Introduced- 0
    Fixed -None

    Affected versions

    v2.9.2
    v2.9.1
    v2.9.0

    Common Vulnerability Scoring System

    Attack Vector
    Network
    Adjacent
    Local
    Physical
    Privileges Required
    None
    Low
    High
    User Interaction
    None
    Required
    Scope
    Unchanged
    Changed
    Confidentiality
    None
    Low
    High
    Integrity
    None
    Low
    High
    Availability
    None
    Low
    High
    CVE-2024-27133 | CVE-DB