backwardcompatibilityml (>=1.4.0, <=1.4.2), layer-client (>=0.3.7b1, <=0.3.9) potentially affected by CVE-2024-27132 via mlflow (1.12.1)

mlflow PYPI version 1.12.1 is affected by a known vulnerability. The following packages have a transitive dependency on mlflow and may be impacted: - backwardcompatibilityml =1.4.0, =0.3.7b1, =0.3.9 Source cves: CVE-2024-27132 Source advisory: OSV:PYSEC-2024-240...

Design/Logic Flaw

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...

Design/Logic Flaw

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...

a2 (>=0.1.0, <=0.3.17), agentos (>=0.0.5, <=0.0.7) +177 more potentially affected by CVE-2024-27133 via mlflow (>=0.8.2, <=2.9.2)

mlflow PYPI version =0.8.2, =0.1.0, =0.0.5, =1.0.0, =1.0.1, =0.1.2, =0.1.0, =1.0.18.2, =0.0.1, =1.0.41, =1.4.0, =3.0.0, =0.1.2, =0.3.5, =0.3.8 and more Source cves: CVE-2024-27133 Source advisory: MEND:CVE-2024-27133...

CVE-2024-27133

CVE-2024-27133 : Affects MLflow. Insufficient sanitization of dataset table fields in MLflow recipes can cause a client-side XSS, which in turn can lead to a client-side RCE when running the recipe in Jupyter Notebook . Root cause: lack of input sanitization for untrusted datasets in the data tab...

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...

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...

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...

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...

CVE-2024-27132 Insufficient sanitization in MLflow leads to XSS when running an untrusted recipe.

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...

CVE-2024-27132 Insufficient sanitization in MLflow leads to XSS when running an untrusted recipe.

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...

a2 (>=0.1.0, <=0.3.17), agentos (>=0.0.5, <=0.0.7) +177 more potentially affected by CVE-2024-27132 via mlflow (>=0.8.2, <=2.9.2)

mlflow PYPI version =0.8.2, =0.1.0, =0.0.5, =1.0.0, =1.0.1, =0.1.2, =0.1.0, =1.0.18.2, =0.0.1, =1.0.41, =1.4.0, =3.0.0, =0.1.2, =0.3.5, =0.3.8 and more Source cves: CVE-2024-27132 Source advisory: MEND:CVE-2024-27132...

CVE-2024-27132

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...

CVE-2024-27132 Insufficient sanitization in MLflow leads to XSS when running an untrusted recipe.

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...

CVE-2024-27132

MLflow suffers from insufficient sanitization of template variables, enabling XSS when loading an untrusted recipe and potentially enabling client-side RCE in Jupyter Notebook. The root cause is lack of input sanitization in rendering templates. Public details about affected versions or patches a...

CVE-2024-27132: Improper Neutralization of Input During Web Page Generation

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...

Mlflow Cross-Site Scripting Vulnerability

Mlflow is an open source platform for machine learning lifecycles. Mlflow suffers from a cross-site scripting vulnerability that stems from a lack of cleanup of template variables, leading to cross-site scripting...

Mlflow Cross-Site Scripting Vulnerability

Mlflow is an open source platform for machine learning lifecycle. Mlflow suffers from a cross-site scripting vulnerability that stems from a lack of cleanup of dataset table fields, leading to cross-site scripting...

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...

CVE-2024-27133: Improper Neutralization of Input During Web Page Generation

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...