Critical severity · published Feb 23, 2024
CVE-2024-27133
Insufficient sanitization in MLflow leads to XSS when running a recipe that uses an untrusted dataset
9.6
CVSS
0.7%
EPSS
No
On KEV
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.
CVSS vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H
Attack vector
Network
Complexity
Low
Privileges
None
User interaction
Required
Confidentiality
High
Integrity
High
Availability
High
Scope
Changed
Exploitation
Is it being used?
Exploit prediction (EPSS)0.7% · higher than 51% of CVEs
Exploited in the wildNo evidence yet
CISA KEVNot listed
Ransomware campaign useNot known
Affected products
Which versions
ML
Mlflow · Lfprojects
through 2.9.2 · source: NVD
References
NVD
https://nvd.nist.gov/vuln/detail/CVE-2024-27133
CVE.org
https://www.cve.org/CVERecord?id=CVE-2024-27133
Issue Tracking
https://github.com/mlflow/mlflow/pull/10893
Exploit
https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932/
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