CVE-2024-27133

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Source

https://cve.org/CVERecord?id=CVE-2024-27133

Import Source

https://storage.googleapis.com/osv-test-cve-osv-conversion/osv-output/CVE-2024-27133.json

JSON Data

https://api.test.osv.dev/v1/vulns/CVE-2024-27133

Aliases

Published

2024-02-23T22:00:33.124Z

Modified

2026-07-11T03:53:33.256661592Z

Severity

7.5 (High) CVSS_V3 - CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H CVSS Calculator

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.

Database specific

{
    "cna_assigner": "JFROG",
    "cwe_ids": [
        "CWE-79"
    ],
    "osv_generated_from": "https://github.com/CVEProject/cvelistV5/tree/main/cves/2024/27xxx/CVE-2024-27133.json"
}

References

Affected packages

Git / github.com/mlflow/mlflow

Affected ranges

Type

GIT

Repo

https://github.com/mlflow/mlflow

Events

Introduced

Last affected

6ca72469b289e77acc2f1201ca39237fc025c090

Database specific

{
    "source": [
        "AFFECTED_FIELD",
        "CPE_RANGE"
    ],
    "cpe": "cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:*",
    "extracted_events": [
        {
            "introduced": "0"
        },
        {
            "last_affected": "2.9.2"
        }
    ]
}

Affected versions

1.*

1.0.0

v0.*

v0.2.0

v0.2.1

v0.3.0

v0.4.0

v0.4.1

v0.4.2

v0.5.0

v0.6.0

v0.7

v0.8.0

v0.8.1

v1.*

v1.7.0

v2.*

v2.2.0

v2.9.0

v2.9.1

v2.9.2

Database specific

source

"https://storage.googleapis.com/osv-test-cve-osv-conversion/osv-output/CVE-2024-27133.json"