CVE-2024-27133
unknown
CVSS v3
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CVSS v4 NEW
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VIR risk
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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.
Predictions
Exploit likelihood
30%
Patch ETA
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Heuristic predictions, AS-IS, for prioritization only.
Mitigations
No mitigations published for this CVE yet.
The vendor-content worker queues fetches as references arrive (check back in a few minutes). Or — if you've already worked around this in production — publish your fix to the community-verified tier.
✚ Propose a mitigation on Community → Mitigations published via the community go through AI scoring + 2 human reviewers + 7-day silent objection window before landing here withsource_tier=community-verified.
Package impact
| Ecosystem | Package | Vulnerable | Fixed |
|---|---|---|---|
| PyPI | mlflow | <2.10.0 | 2.10.0 |
References
- https://nvd.nist.gov/vuln/detail/CVE-2024-27133
- https://github.com/mlflow/mlflow/pull/10893
- https://github.com/mlflow/mlflow/commit/c43823750bffa5b6abcc086683b15a068513b67b
- https://github.com/mlflow/mlflow/commit/cfa71879a884cc3520e23ccab998c9aa78fdf2b1
- https://github.com/mlflow/mlflow
- https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2024-241.yaml
- https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932
- https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932/
Community-verified mitigations for this CVE will appear above when contributors publish them.
Verify integrity in audit chain (admin only). AS-IS.