Allows arbitrary filesystem writes outside the extraction directory during extraction with filter="data". You are affected by this vulnerability if using the tarfile module to extract untrusted tar archives using TarFile.extractall() or TarFile.extract() using the filter= parameter with a value of "data" or "tar". See the tarfile extraction filters documentation https://docs.python.org/3/library/tarfile.html#tarfile-extraction-filter for more information. Note that for Python 3.14 or later the default value of filter= changed from "no filtering" to `"data", so if you are relying on this new default behavior then your usage is also affected. Note that none of these vulnerabilities significantly affect the installation of source distributions which are tar archives as source distributions already allow arbitrary code execution during the build process. However when evaluating source distributions it's important to avoid installing source distributions with suspicious links.
Jupyter Server is the backend for Jupyter web applications. In versions 2.17.0 and earlier, a path traversal vulnerability in the REST API allows an authenticated user to escape the configured root_dir and access sibling directories whose names begin with the same prefix as the root_dir. For example, with a root_dir named "test", the API permits access to a sibling directory named "testtest" through a crafted request to the /api/contents endpoint using encoded path components. An attacker can read, write, and delete files in affected sibling directories. Multi-tenant deployments using predictable naming schemes are particularly at risk, as a user with a directory named "user1" could access directories for user10 through user19 and beyond. A user who can choose a single-character folder name could gain access to a significant number of sibling directories. Version 2.18.0 contains a fix. As a workaround, ensure folder names do not share a common prefix with any sibling directory.
via cve_org
| Version | Type | Source | Base | Exp | Imp |
|---|---|---|---|---|---|
| 3.1 | Primary | NVD | 8.8 | 2.8 | 5.9 |
| 3.1 | Primary | cve.org | 7.1 | — | — |
| 3.1 | Primary | cve.org | 7.1 | — | — |
| 3.1 | Primary | cve.org | 7.1 | — | — |
| 3.1 | Primary | cve.org | 7.1 | — | — |
| 3.1 | Primary | cve.org | 7.1 | — | — |
| 3.1 | Primary | cve.org | 7.1 | — | — |
| 3.1 | Secondary | NVD | 7.1 | 1.6 | 5.5 |
| 3.1 | Secondary | GHSA | 7.1 | — | — |
| 4.0 | Primary | cve.org | 7.6 | — | — |
| 4.0 | Primary | cve.org | 7.6 | — | — |
| 4.0 | Primary | cve.org | 7.6 | — | — |
| 4.0 | Primary | cve.org | 7.6 | — | — |
| 4.0 | Primary | cve.org | 7.6 | — | — |
| 4.0 | Primary | cve.org | 7.6 | — | — |
| 4.0 | Primary | cve.org | 7.6 | — | — |
| 4.0 | Primary | cve.org | 7.6 | — | — |
| 4.0 | Secondary | GHSA | 7.6 | — | — |
| 4.0 | Secondary | ENISA EUVD | 7.6 | — | — |
| 4.0 | Secondary | NVD | 7.6 | — | — |