CVE-2024-27133

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

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.

Category

7.5
CVSS
Severity: High
CVSS 3.1 •
EPSS 0.18%
Third-Party Advisory jfrog.com
Published at:
Updated at:

References

Link Tags
https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932/ third party advisory exploit
https://github.com/mlflow/mlflow/pull/10893 patch issue tracking

Frequently Asked Questions

What is the severity of CVE-2024-27133?
CVE-2024-27133 has been scored as a high severity vulnerability.
How to fix CVE-2024-27133?
To fix CVE-2024-27133, make sure you are using an up-to-date version of the affected component(s) by checking the vendor release notes. As for now, there are no other specific guidelines available.
Is CVE-2024-27133 being actively exploited in the wild?
It is possible that CVE-2024-27133 is being exploited or will be exploited in a near future based on public information. According to its EPSS score, there is a ~0% probability that this vulnerability will be exploited by malicious actors in the next 30 days.
What software or system is affected by CVE-2024-27133?
CVE-2024-27133 affects .
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