15 results (0.004 seconds)

CVSS: 6.5EPSS: 0%CPEs: 3EXPL: 0

JupyterLab is an extensible environment for interactive and reproducible computing, based on the Jupyter Notebook and Architecture. This vulnerability depends on user interaction by opening a malicious Markdown file using JupyterLab preview feature. A malicious user can access any data that the attacked user has access to as well as perform arbitrary requests acting as the attacked user. JupyterLab version 4.0.11 has been patched. Users are advised to upgrade. • https://github.com/jupyterlab/jupyterlab/commit/e1b3aabab603878e46add445a3114e838411d2df https://github.com/jupyterlab/jupyterlab/security/advisories/GHSA-4m77-cmpx-vjc4 https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/UQJKNRDRFMKGVRIYNNN6CKMNJDNYWO2H • CWE-79: Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') •

CVSS: 7.6EPSS: 0%CPEs: 4EXPL: 0

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` version. JupyterLab versions 4.1.0b2, 4.0.11, and 3.6.7 are patched. No workaround has been identified, however users should ensure to upgrade `jupyter-server` to version 2.7.2 or newer which includes a redirect vulnerability fix. JupyterLab es un entorno extensible para informática interactiva y reproducible, basado en Jupyter Notebook y Architecture. • https://github.com/jupyterlab/jupyterlab/commit/19bd9b96cb2e77170a67e43121637d0b5619e8c6 https://github.com/jupyterlab/jupyterlab/security/advisories/GHSA-44cc-43rp-5947 https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/UQJKNRDRFMKGVRIYNNN6CKMNJDNYWO2H • CWE-23: Relative Path Traversal CWE-200: Exposure of Sensitive Information to an Unauthorized Actor •

CVSS: 4.3EPSS: 0%CPEs: 1EXPL: 0

Jupyter Notebook is a web-based notebook environment for interactive computing. Prior to version 6.4.12, authenticated requests to the notebook server with `ContentsManager.allow_hidden = False` only prevented listing the contents of hidden directories, not accessing individual hidden files or files in hidden directories (i.e. hidden files were 'hidden' but not 'inaccessible'). This could lead to notebook configurations allowing authenticated access to files that may reasonably be expected to be disallowed. Because fully authenticated requests are required, this is of relatively low impact. But if a server's root directory contains sensitive files whose only protection from the server is being hidden (e.g. `~/.ssh` while serving $HOME), then any authenticated requests could access files if their names are guessable. • https://github.com/jupyter/notebook/security/advisories/GHSA-v7vq-3x77-87vg • CWE-425: Direct Request ('Forced Browsing') •

CVSS: 7.5EPSS: 0%CPEs: 1EXPL: 0

The Jupyter notebook is a web-based notebook environment for interactive computing. Prior to version 6.4.9, unauthorized actors can access sensitive information from server logs. Anytime a 5xx error is triggered, the auth cookie and other header values are recorded in Jupyter server logs by default. Considering these logs do not require root access, an attacker can monitor these logs, steal sensitive auth/cookie information, and gain access to the Jupyter server. Jupyter notebook version 6.4.x contains a patch for this issue. • https://github.com/jupyter/notebook/security/advisories/GHSA-m87f-39q9-6f55 • CWE-532: Insertion of Sensitive Information into Log File •

CVSS: 10.0EPSS: 0%CPEs: 2EXPL: 1

The Jupyter notebook is a web-based notebook environment for interactive computing. In affected versions untrusted notebook can execute code on load. Jupyter Notebook uses a deprecated version of Google Caja to sanitize user inputs. A public Caja bypass can be used to trigger an XSS when a victim opens a malicious ipynb document in Jupyter Notebook. The XSS allows an attacker to execute arbitrary code on the victim computer using Jupyter APIs. • https://github.com/jupyter/notebook/commit/79fc76e890a8ec42f73a3d009e44ef84c14ef0d5 https://github.com/jupyter/notebook/security/advisories/GHSA-hwvq-6gjx-j797 • CWE-79: Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') •