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Veracode
Veracode
added 2024/02/26 10:22 a.m.15 views

Cross Site Scripting (XSS)

mlflow is vulnerable to Cross Site Scripting XSS. The vulnerability is due to insufficient sanitization while executing a recipe with an untrusted dataset, which results in client-side RCE in the Jupyter Notebook...

9.6CVSS6.3AI score0.00204EPSS
Exploits1References3Affected Software1
OSV
OSV
added 2024/02/24 12:30 a.m.8 views

GHSA-3V79-Q7PH-J75H MLFlow Cross-site Scripting vulnerability leads to client-side Remote Code Execution

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...

9.6CVSS8AI score0.00204EPSS
Exploits1References7
OSV
OSV
added 2024/02/23 10:15 p.m.5 views

CVE-2024-27133

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...

9.6CVSS9AI score
Exploits0References2
NVD
NVD
added 2024/02/23 10:15 p.m.12 views

CVE-2024-27133

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...

9.6CVSS7.2AI score0.00204EPSS
Exploits1References2
Vulnrichment
Vulnrichment
added 2024/02/23 10:0 p.m.13 views

CVE-2024-27133 Insufficient sanitization in MLflow leads to XSS when running a recipe that uses an untrusted dataset.

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...

7.5CVSS5.9AI score0.00204EPSS
Exploits1References2
Positive Technologies
Positive Technologies
added 2024/02/23 12:0 a.m.3 views

PT-2024-21666 · Mlflow · Mlflow

The issue is with MLflow, which has a problem with insufficient sanitization, leading to XSS when running a recipe that uses an untrusted dataset. This can further result in a client-side RCE when the recipe is run in Jupyter Notebook. The affected software is MLflow, and the issue arises from a...

9.6CVSS6.2AI score0.00204EPSS
Exploits1References15
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