Jupyter/Jupyter
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cpe:2.3:a:jupyter:jupyter/jupyter:*:*:*:*:*:*:*:*
part: a version: * update: *
| Vendor | Jupyter (3170fc95-7dab-5fb9-942d-251eb444755d) |
|---|---|
| Product | Jupyter/Jupyter (f878c2f0-5d43-5497-afa6-3bfaa585a8b5) |
| Edition | * |
| Language | * |
| Software edition | * |
| Target software | * |
| Target hardware | * |
| Other | * |
| Notes | Imported from gcve-enriched-dumps CVE data |
PURL mappings
| PURL | Source | Last updated |
|---|---|---|
| No PURL mappings for this CPE yet. | ||
Vulnerability references
| Identifier | cpeApplicability | Submitted | db.gcve.eu details | Rationale |
|---|---|---|---|---|
CVE:CVE-2026-6658 |
vulnerable | 2026-07-29 01:06:21.067457 |
Cross-site Scripting (XSS) in jupyter/nbconvert
MEDIUM (5.4)
A vulnerability in jupyter/nbconvert versions <= 7.17.0 allows for Cross-site Scripting (XSS) via unsanitized `text/vnd.mermaid` output in HTML exports. The `data_mermaid` block in `share/templates/lab/base.html.j2` renders `text/vnd.mermaid` cell output directly into HTML without escaping, enabling attackers to inject arbitrary HTML/JavaScript by breaking out of the `<pre>` tag. This vulnerability impacts any server using nbconvert to render notebooks as HTML, allowing attackers to execute arbitrary JavaScript in the context of users viewing the HTML export.
Published: 2026-06-26T09:40:30.952Z
Updated: 2026-06-26T10:19:12.444Z Reference links |
Imported from gcve-enriched-dumps CVE data |
CVE:CVE-2026-6657 |
vulnerable | 2026-06-08 08:07:04.976793 |
CORS Origin Validation Bypass in jupyter-server
MEDIUM (6.1)
A vulnerability in jupyter-server versions 1.12.0 through 2.17.0 allows an attacker to bypass CORS origin validation when the `allow_origin_pat` configuration is used. The issue arises from the use of `re.match()` for validating the `Origin` header, which only anchors at the start of the string. This allows attacker-controlled domains such as `trusted.example.com.evil.com` to pass validation against patterns intended to match `trusted.example.com`. The vulnerability affects multiple locations in the codebase, including CORS headers, WebSocket connections, referer validation, and login redirects, potentially enabling phishing attacks, arbitrary code execution, and unauthorized access to sensitive API responses.
Published: 2026-06-03T15:06:56.598Z
Updated: 2026-06-03T17:25:20.310Z Reference links |
Imported from gcve-enriched-dumps CVE data |
CVE:CVE-2026-5422 |
vulnerable | 2026-06-08 08:07:03.691323 |
Path Traversal in jupyter/jupyter
MEDIUM (6.8)
A path traversal vulnerability exists in jupyter-server version 2.17.0 due to an incorrect root directory boundary check in the _get_os_path() function within jupyter_server/services/contents/fileio.py. The check uses startswith(root) without appending a trailing path separator, allowing sibling directories with names starting with the same prefix as root_dir to bypass the check. Additionally, the to_os_path() function in utils.py does not strip ".." from path parts, enabling traversal sequences to bypass the vulnerable check. This vulnerability can lead to unauthorized read/write access to files in sibling directories, potentially exposing sensitive data in shared hosting environments.
Published: 2026-06-02T09:11:15.755Z
Updated: 2026-06-02T12:14:02.747Z Reference links |
Imported from gcve-enriched-dumps CVE data |
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