Critical severityOSV Advisory· Published Feb 23, 2024· Updated Aug 14, 2024
Insufficient sanitization in MLflow leads to XSS when running an untrusted recipe.
CVE-2024-27132
Description
Insufficient sanitization in MLflow leads to XSS when running an untrusted recipe.
This issue leads to a client-side RCE when running an untrusted recipe in Jupyter Notebook.
The vulnerability stems from lack of sanitization over template variables.
AI Insight
LLM-synthesized narrative grounded in this CVE's description and references.
Affected packages
Versions sourced from the GitHub Security Advisory.
| Package | Affected versions | Patched versions |
|---|---|---|
mlflowPyPI | < 2.10.0 | 2.10.0 |
Affected products
3- osv-coords2 versions
< 2.10.0+ 1 more
- (no CPE)range: < 2.10.0
- (no CPE)range: < 2.10.0
Patches
Vulnerability mechanics
References
6- github.com/advisories/GHSA-6749-m5cp-6cg7ghsaADVISORY
- nvd.nist.gov/vuln/detail/CVE-2024-27132ghsaADVISORY
- github.com/mlflow/mlflow/pull/10873ghsaWEB
- github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2024-240.yamlghsaWEB
- research.jfrog.com/vulnerabilities/mlflow-untrusted-recipe-xss-jfsa-2024-000631930ghsaWEB
- research.jfrog.com/vulnerabilities/mlflow-untrusted-recipe-xss-jfsa-2024-000631930/mitre
News mentions
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