PYSEC-2024-240

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...

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...

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-2024-27133

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-2024-27132 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...

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 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...

PT-2024-4085 · Unknown +1 · Jupyter Notebook +1

Name of the Vulnerable Software and Affected Versions: MLflow versions prior to 2.4.1 Description: The issue stems from insufficient sanitization in MLflow, leading to cross-site scripting XSS when running an untrusted recipe. This can be escalated to a client-side remote code execution RCE when...

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...

Ubuntu 'command-not-found' Tool Could Trick Users into Installing Rogue Packages

Cybersecurity researchers have found that it's possible for threat actors to exploit a well-known utility called command-not-found to recommend their own rogue packages and compromise systems running Ubuntu operating system. "While 'command-not-found' serves as a convenient tool for suggesting...

[SECURITY] Fedora 39 Update: jupyterlab-4.0.11-1.fc39

JupyterLab is the next-generation user interface for Project Jupyter offering all the familiar building blocks of the classic Jupyter Notebook notebook, terminal, text editor, file browser, rich outputs, etc. in a flexible and powerful user interface...

[SECURITY] Fedora 39 Update: python-notebook-7.0.7-1.fc39

The Jupyter Notebook is a web application that allows you to create and share documents that contain live code, equations, visualizations, and explanatory text. The Notebook has support for multiple programming languages, sharing, and interactive widgets...

Fedora 39 : jupyterlab / python-notebook (2024-1673c2696e)

The remote Fedora 39 host has packages installed that are affected by multiple vulnerabilities as referenced in the FEDORA-2024-1673c2696e advisory. Update of jupyterlab and notebook including fix for CVE-2024-22420 . Tenable has extracted the preceding description block directly from the Fedora...

Fedora: Security Advisory for python-notebook (FEDORA-2024-1673c2696e)

The remote host is missing an update for the SPDX-FileCopyrightText: 2024 Greenbone AG Some text descriptions might be excerpted from a referenced sources, and are Copyright C by the respective right holders. SPDX-License-Identifier: GPL-2.0-only ifdescription...

Design/Logic Flaw

JupyterLab is an extensible environment for interactive and reproducible computing, based on the Jupyter Notebook and Architecture. Users of JupyterLab who click on a malicious link may get their Authorization and XSRFToken tokens exposed to a third party when running an older jupyter-server...

CVE-2024-22421 Potential authentication and CSRF tokens leak in JupyterLab

JupyterLab is an extensible environment for interactive and reproducible computing, based on the Jupyter Notebook and Architecture. Users of JupyterLab who click on a malicious link may get their Authorization and XSRFToken tokens exposed to a third party when running an older jupyter-server...

CVE-2024-22421 Potential authentication and CSRF tokens leak in JupyterLab

JupyterLab is an extensible environment for interactive and reproducible computing, based on the Jupyter Notebook and Architecture. Users of JupyterLab who click on a malicious link may get their Authorization and XSRFToken tokens exposed to a third party when running an older jupyter-server...