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146 vulnerabilities by jupyter
CVE-2026-114140 (GCVE-0-2026-114140)
Vulnerability from nvd – Published: 2026-10-21 20:19 – Updated: 2026-10-21 20:19
VLAI
EPSS
VEX
Title
nbconvert: File write via path traversal in cell output filenames
Summary
The nbconvert tool, jupyter nbconvert, converts Jupyter notebooks to various other formats via Jinja templates. From 5.4.0 until 7.17.2, ExtractOutputPreprocessor in nbconvert/preprocessors/extractoutput.py joins the attacker-controlled cell output metadata filename to output_files_dir without limiting the result to the intended directory. When a victim converts a malicious notebook with the markdown, LaTeX, reStructuredText, or AsciiDoc exporter, path traversal in the output filename can write attacker-controlled output data to arbitrary locations accessible to the victim. Running the notebook cell again replaces the malicious output metadata, but merely converting the supplied notebook does not. This issue is fixed in version 7.17.2.
Severity
CWE
- CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/jupyter/nbconvert/security/adv… | x_refsource_CONFIRM |
| https://github.com/jupyter/nbconvert/commit/ce4bd… | x_refsource_MISC |
| https://github.com/jupyter/nbconvert/releases/tag… | x_refsource_MISC |
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CVE-2026-86258 (GCVE-0-2026-86258)
Vulnerability from nvd – Published: 2026-09-06 12:37 – Updated: 2026-09-24 14:21
VLAI
EPSS
VEX
Title
nbviewer through 1.0.1 Path Traversal via LocalFileHandler
Summary
nbviewer through 1.0.1 contains a path traversal vulnerability in LocalFileHandler.can_show() that uses string-prefix comparison instead of proper path validation. Attackers can read files from sibling directories outside the configured root by requesting paths that share the root as a textual prefix, disclosing unintended notebooks and credentials.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-10 14:19 UTC
CWE
- CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://github.com/jupyter/nbviewer/issues/1115 | issue-tracking |
| https://github.com/jupyter/nbviewer/blob/1.0.1/nb… | technical-description |
| https://github.com/jupyter/nbviewer/commit/aad361… | patch |
| https://github.com/jupyter/nbviewer | product |
| https://www.vulncheck.com/advisories/nbviewer-thr… | third-party-advisory |
Date Public
2026-06-18 00:00
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CVE-2026-44182 (GCVE-0-2026-44182)
Vulnerability from nvd – Published: 2026-07-16 22:05 – Updated: 2026-07-17 15:04
VLAI
EPSS
VEX
Title
Jupyter Enterprise Gateway Has Kubernetes Manifest Injection via Jinja2 Template Rendering
Summary
Jupyter Enterprise Gateway launches remote Jupyter Notebook kernels across distributed clusters like Apache Spark, Kubernetes, and Docker Swarm. In versions prior to 3.3.0, the server interpolates untrusted environment variables (e.g., KERNEL_XXX) into Kubernetes manifests without YAML-aware escaping, enabling YAML injection attacks. Attackers can inject new fields, overwrite critical fields (e.g., duplicate securityContext keys, where the last one prevails), and inject document boundaries (--- for new documents, ... for end-of-document) to generate multiple resources, potentially creating arbitrary types, such as privileged pods. The Jinja2 template for the Kubernetes manifest contains several kernel_xxx variables, such as kernel_working_dir that are used when rendering the manifest and are all vectors for YAML injection. This issue has been fixed in version 3.3.0.
Severity
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-17 15:04 UTC
CWE
- CWE-74 - Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection')
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/jupyter-server/enterprise_gate… | x_refsource_CONFIRM |
| https://github.com/jupyter-server/enterprise_gate… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| jupyter-server | enterprise_gateway |
Affected:
< 3.3.0
|
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CVE-2026-44181 (GCVE-0-2026-44181)
Vulnerability from nvd – Published: 2026-07-16 22:03 – Updated: 2026-07-17 14:05
VLAI
EPSS
VEX
Title
Jupyter Enterprise Gateway: Jinja2 Template Server Side Template Injection results in Remote Code Execution
Summary
Jupyter Enterprise Gateway launches remote Jupyter Notebook kernels across distributed clusters like Apache Spark, Kubernetes, and Docker Swarm. In versions 2.0.0rc2 and above, prior to 3.3.0, the environment variables (KERNEL_XXX) used during the rendering of the Kubernetes manifest are vulnerable to Server Side Template Injection (SSTI). By including Jinja2 template expressions it is possible to execution Python code and OS Commands in the Enterprise Gateway service. The code can use or steal the Kubernetes service account token, which can steal Kubernetes secrets and be used to fully compromise the Kubernetes cluster by scheduling a privileged pod or a pod with a hostPath volume mount. This issue has been fixed in version 3.3.0.
Severity
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-17 14:04 UTC
CWE
- CWE-1336 - Improper Neutralization of Special Elements Used in a Template Engine
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/jupyter-server/enterprise_gate… | x_refsource_CONFIRM |
| https://github.com/jupyter-server/enterprise_gate… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| jupyter-server | enterprise_gateway |
Affected:
>= 2.0.0rc2, < 3.3.0
|
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CVE-2026-44180 (GCVE-0-2026-44180)
Vulnerability from nvd – Published: 2026-07-16 21:59 – Updated: 2026-07-17 14:23
VLAI
EPSS
VEX
Title
Jupyter Enterprise Gateway: ContainerProcessProxy._enforce_prohibited_ids can be Bypassed
Summary
Jupyter Enterprise Gateway launches remote Jupyter Notebook kernels across distributed clusters like Apache Spark, Kubernetes, and Docker Swarm. Versions 2.0.0rc1 and above prior to 3.3.0 have a prohibited UID and GID feature that by default prevents launching kernels with UID or GID 0 (root), and this restriction can be bypassed using a specially crafted KERNEL_UID or KERNEL_GID value. This input validation vulnerability allows running Jupyter kernels as root, which can be dangerous as it allows more attack surface, and may lead to container escapes, compromising the worker node and all workloads running on it. Repeated exploitation can compromise all worker nodes, and thus the entire Kubernetes cluster. It is possible to specify volume mounts, so one vector for a container escape is to use a hostPath R/W volume mount, use this UID/GID bypass to run as root, and then gain code execution in the underlying worker node by creating a crontab entry in the mounted host file system. This issue has been fixed in version 3.0.0.
Severity
9.8 (Critical)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-17 14:20 UTC
CWE
- CWE-20 - Improper Input Validation
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/jupyter-server/enterprise_gate… | x_refsource_CONFIRM |
| https://github.com/jupyter-server/enterprise_gate… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| jupyter-server | enterprise_gateway |
Affected:
>= 2.0.0rc1, < 3.3.0
|
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CVE-2026-54528 (GCVE-0-2026-54528)
Vulnerability from nvd – Published: 2026-07-08 21:04 – Updated: 2026-07-09 13:04
VLAI
EPSS
VEX
Title
jupyterlab-git excluded_paths Case-Sensitivity Bypass Allows Reading Excluded Directories
Summary
JupyterLab Git is a Git extension for JupyterLab. Prior to 0.54.0, jupyterlab-git uses fnmatch.fnmatchcase() in GitHandler.prepare() in jupyterlab_git/handlers.py to enforce excluded_paths, allowing an authenticated user on a case-insensitive filesystem to vary URL path casing and read excluded directories. This issue is fixed in version 0.54.0.
Severity
7.1 (High)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-09 13:04 UTC
CWE
- CWE-178 - Improper Handling of Case Sensitivity
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/jupyterlab/jupyterlab-git/secu… | x_refsource_CONFIRM |
| https://github.com/jupyterlab/jupyterlab-git/comm… | x_refsource_MISC |
| https://github.com/jupyterlab/jupyterlab-git/rele… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| jupyterlab | jupyterlab-git |
Affected:
< 0.54.0
|
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CVE-2026-54527 (GCVE-0-2026-54527)
Vulnerability from nvd – Published: 2026-07-08 21:03 – Updated: 2026-07-09 14:16
VLAI
EPSS
VEX
Title
JupyterLab Git: Stored XSS leading to RCE
Summary
JupyterLab Git is a Git extension for JupyterLab. From 0.30.0b3 before 0.54.0, the PlainTextDiff.ts createHeader() method passes Git filenames directly to innerHTML when rendering renamed files in commit history, allowing a crafted filename to execute JavaScript when a victim views the rename diff in the Git History tab. This issue is fixed in version 0.54.0.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-09 14:15 UTC
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/jupyterlab/jupyterlab-git/secu… | x_refsource_CONFIRM |
| https://github.com/jupyterlab/jupyterlab-git/comm… | x_refsource_MISC |
| https://github.com/jupyterlab/jupyterlab-git/rele… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| jupyterlab | jupyterlab-git |
Affected:
>= 0.30.0b3, < 0.54.0
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CVE-2026-6658 (GCVE-0-2026-6658)
Vulnerability from nvd – Published: 2026-06-26 09:40 – Updated: 2026-06-26 10:19
VLAI
EPSS
VEX
Title
Cross-site Scripting (XSS) in jupyter/nbconvert
Summary
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.
Severity
5.4 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-06-26 10:19 UTC
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| jupyter | jupyter/jupyter |
Affected:
unspecified , ≤ latest
(custom)
|
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CVE-2026-44727 (GCVE-0-2026-44727)
Vulnerability from nvd – Published: 2026-06-22 19:56 – Updated: 2026-08-28 12:04
VLAI
EPSS
VEX
Title
Jupyter Server: Stored XSS in `NbconvertFileHandler` / `NbconvertPostHandler` via missing `sandbox` CSP
Summary
Jupyter Server is the backend for Jupyter web applications. Prior to 2.20, the nbconvert HTTP handlers in jupyter_server render user-authored notebook HTML under the Jupyter origin without a sandbox directive in their Content-Security-Policy. Combined with nbconvert.HTMLExporter's default non-sanitizing behavior, a notebook carrying an HTML payload in a display_data output triggers stored XSS with cookie access, full /api/* authority, and kernel RCE. This vulnerability is fixed in 2.20.
Severity
9 (Critical)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-06-23 12:15 UTC
CWE
Assigner
References
7 references
| URL | Tags |
|---|---|
| https://github.com/jupyter-server/jupyter_server/… | x_refsource_CONFIRM |
| https://github.com/jupyter-server/jupyter_server/… | x_refsource_MISC |
| https://access.redhat.com/security/cve/CVE-2026-44727 | vdb-entryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=2491516 | issue-trackingx_refsource_REDHAT |
| https://security.access.redhat.com/data/csaf/v2/v… | x_sadp-csaf-vex |
| https://access.redhat.com/errata/RHSA-2026:43038 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2026:60520 | vendor-advisoryx_refsource_REDHAT |
Impacted products
15 products
| Vendor | Product | Version | |
|---|---|---|---|
| jupyter-server | jupyter_server |
Affected:
< 2.20
|
|
| Red Hat | Red Hat Migration Toolkit for Applications 8.2 |
Unaffected:
1784109883 , < *
(rpm)
cpe:/a:redhat:migration_toolkit_applications:8.2::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787076778 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787077779 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787076481 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787074331 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073913 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787074078 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073929 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073605 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073546 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073717 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073713 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073593 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI (RHOAI) |
cpe:/a:redhat:openshift_ai
|
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CVE-2026-6657 (GCVE-0-2026-6657)
Vulnerability from nvd – Published: 2026-06-03 15:06 – Updated: 2026-06-03 17:25
VLAI
EPSS
VEX
Title
CORS Origin Validation Bypass in jupyter-server
Summary
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.
Severity
6.1 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-06-03 17:24 UTC
CWE
- CWE-346 - Origin Validation Error
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| jupyter | jupyter/jupyter |
Affected:
unspecified , ≤ latest
(custom)
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CVE-2026-5422 (GCVE-0-2026-5422)
Vulnerability from nvd – Published: 2026-06-02 09:11 – Updated: 2026-06-02 12:14
VLAI
EPSS
VEX
Title
Path Traversal in jupyter/jupyter
Summary
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.
Severity
6.8 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-06-02 12:13 UTC
CWE
- CWE-23 - Relative Path Traversal
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| jupyter | jupyter/jupyter |
Affected:
unspecified , ≤ latest
(custom)
|
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CVE-2026-40864 (GCVE-0-2026-40864)
Vulnerability from nvd – Published: 2026-05-22 20:13 – Updated: 2026-05-26 13:13
VLAI
EPSS
VEX
Title
JupyterHub: Cross-origin form POSTs bypass XSRF
Summary
JupyterHub is software that allows users to create a multi-user server for Jupyter notebooks. In versions 4.1.0 through 5.4.4, XSRF protection (updated in 4.1.0) inappropriately treated requests with Sec-Fetch-Mode: no-cors as same-origin requests, bypassing XSRF checks. The JSON API is not affected, only HTTP form endpoints, such as /hub/spawn and /hub/accept-share, meaning attackers could trigger server spawn (but not access the server) and if the attacker is a JupyterHub user permitted to share access to their server, cause a user to accept a share and have access to the attacker's server. This issue has been fixed in version 5.4.5. If developers are unable to immediately upgrade, they can temporarily mitigate this issue by dropping requests to JupyterHub with Sec-Fetch-Mode: no-cors if they are using a reverse proxy.
Severity
5.4 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-05-26 13:13 UTC
CWE
- CWE-352 - Cross-Site Request Forgery (CSRF)
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/jupyterhub/jupyterhub/security… | x_refsource_CONFIRM |
| https://github.com/jupyterhub/jupyterhub/commit/9… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| jupyterhub | jupyterhub |
Affected:
>= 4.1.0, < 5.4.5
|
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CVE-2026-42557 (GCVE-0-2026-42557)
Vulnerability from nvd – Published: 2026-05-13 15:06 – Updated: 2026-08-28 12:04
VLAI
EPSS
VEX
Title
jupyterlab: Command linker attributes in HTML enable one-click command execution from untrusted content
Summary
jupyterlab is an extensible environment for interactive and reproducible computing, based on the Jupyter Notebook Architecture. Prior to 4.5.7, JupyterLab's HTML sanitizer allowlists data-commandlinker-command and data-commandlinker-args on button elements, while CommandLinker listens for all click events on document.body and executes the named command without checking whether the element came from trusted JupyterLab UI. A notebook with a pre-saved HTML cell output containing a deceptive button can trigger arbitrary JupyterLab commands - including arbitrary code execution - on a single user click, without any code being submitted for execution by the user. This vulnerability is fixed in 4.5.7.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-05-14 17:57 UTC
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Assigner
References
6 references
| URL | Tags |
|---|---|
| https://github.com/jupyterlab/jupyterlab/security… | x_refsource_CONFIRM |
| https://access.redhat.com/security/cve/CVE-2026-42557 | vdb-entryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=2477086 | issue-trackingx_refsource_REDHAT |
| https://security.access.redhat.com/data/csaf/v2/v… | x_sadp-csaf-vex |
| https://access.redhat.com/errata/RHSA-2026:43038 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2026:60520 | vendor-advisoryx_refsource_REDHAT |
Impacted products
16 products
| Vendor | Product | Version | |
|---|---|---|---|
| jupyterlab | jupyterlab |
Affected:
< 4.5.7
|
|
| jupyter | notebook |
Affected:
>= 7.0.0, < 7.5.6
|
|
| Red Hat | Red Hat Migration Toolkit for Applications 8.2 |
Unaffected:
1784109883 , < *
(rpm)
cpe:/a:redhat:migration_toolkit_applications:8.2::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787076778 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787077779 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787076481 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787074331 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073913 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787074078 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073929 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073605 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073546 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073717 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073713 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073593 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI (RHOAI) |
cpe:/a:redhat:openshift_ai
|
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"product": "Red Hat OpenShift AI 3.4",
"vendor": "Red Hat",
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CVE-2026-42266 (GCVE-0-2026-42266)
Vulnerability from nvd – Published: 2026-05-13 15:08 – Updated: 2026-08-28 12:04
VLAI
EPSS
VEX
Title
JupyterLab has an Extension Manager API/GUI Policy Discrepancy allowing 3rd party (malicious) extensions install via POST request.
Summary
JupyterLab is an extensible environment for interactive and reproducible computing, based on the Jupyter Notebook Architecture. From 4.0.0 to 4.5.6, the allow-list of extensions that can be installed from PyPI Extension Manager (allowed_extensions_uris) is not correctly enforced by JupyterLab. The PyPI Extension Manager was not contained to packages listed on the default PyPI index. This vulnerability is fixed in 4.5.7.
Severity
8.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-05-13 00:00 UTC
CWE
Assigner
References
9 references
| URL | Tags |
|---|---|
| https://github.com/jupyterlab/jupyterlab/security… | x_refsource_CONFIRM |
| https://github.com/jupyterlab/jupyterlab/releases… | x_refsource_MISC |
| https://jupyterhub.readthedocs.io/en/5.2.1/explan… | x_refsource_MISC |
| https://jupyterlab.readthedocs.io/en/latest/user/… | x_refsource_MISC |
| https://access.redhat.com/security/cve/CVE-2026-42266 | vdb-entryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=2477072 | issue-trackingx_refsource_REDHAT |
| https://security.access.redhat.com/data/csaf/v2/v… | x_sadp-csaf-vex |
| https://access.redhat.com/errata/RHSA-2026:43038 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2026:60520 | vendor-advisoryx_refsource_REDHAT |
Impacted products
15 products
| Vendor | Product | Version | |
|---|---|---|---|
| jupyterlab | jupyterlab |
Affected:
>= 4.0.0, < 4.5.7
|
|
| Red Hat | Red Hat Migration Toolkit for Applications 8.2 |
Unaffected:
1784109883 , < *
(rpm)
cpe:/a:redhat:migration_toolkit_applications:8.2::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787076778 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787077779 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787076481 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787074331 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073913 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787074078 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073929 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073605 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073546 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073717 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073713 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073593 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI (RHOAI) |
cpe:/a:redhat:openshift_ai
|
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CVE-2026-40171 (GCVE-0-2026-40171)
Vulnerability from nvd – Published: 2026-05-06 19:36 – Updated: 2026-05-08 03:55
VLAI
EPSS
VEX
Title
Jupyter Notebook and JupyterLab token theft via stored XSS in help command linker
Summary
In Jupyter Notebook versions 7.0.0 through 7.5.5, JupyterLab versions 4.5.6 and earlier, and the corresponding @jupyter-notebook/help-extension and @jupyterlab/help-extension packages before 7.5.6 and 4.5.7, a stored cross-site scripting issue in the help command linker can be chained with attacker-controlled notebook content to steal authentication tokens with a single click.
An attacker can craft a malicious notebook file containing elements that appear indistinguishable from legitimate controls and trigger execution when a user interacts with them. Successful exploitation allows theft of the user's authentication token and complete takeover of the Jupyter session through the REST API, including reading files, creating or modifying files, accessing kernels to execute arbitrary code, and creating terminals for shell access. This issue has been fixed in Notebook 7.5.6, JupyterLab 4.5.7, @jupyter-notebook/help-extension 7.5.6, and @jupyterlab/help-extension 4.5.7. As a workaround, disable the affected help extensions or set allowCommandLinker to false in the sanitizer configuration.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-05-07 00:00 UTC
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/jupyter/notebook/security/advi… | x_refsource_CONFIRM |
Impacted products
4 products
| Vendor | Product | Version | |
|---|---|---|---|
| jupyter | notebook |
Affected:
>=7.0.0, <= 7.5.5
|
|
| jupyterlab | help-extension |
Affected:
<=4.5.6
|
|
| jupyterlab | jupyterlab |
Affected:
<= 4.5.6
|
|
| jupyter-notebook | help-extension |
Affected:
>=7.0.0,<= 7.5.5
|
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CVE-2026-114140 (GCVE-0-2026-114140)
Vulnerability from cvelistv5 – Published: 2026-10-21 20:19 – Updated: 2026-10-21 20:19
VLAI
EPSS
VEX
Title
nbconvert: File write via path traversal in cell output filenames
Summary
The nbconvert tool, jupyter nbconvert, converts Jupyter notebooks to various other formats via Jinja templates. From 5.4.0 until 7.17.2, ExtractOutputPreprocessor in nbconvert/preprocessors/extractoutput.py joins the attacker-controlled cell output metadata filename to output_files_dir without limiting the result to the intended directory. When a victim converts a malicious notebook with the markdown, LaTeX, reStructuredText, or AsciiDoc exporter, path traversal in the output filename can write attacker-controlled output data to arbitrary locations accessible to the victim. Running the notebook cell again replaces the malicious output metadata, but merely converting the supplied notebook does not. This issue is fixed in version 7.17.2.
Severity
CWE
- CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/jupyter/nbconvert/security/adv… | x_refsource_CONFIRM |
| https://github.com/jupyter/nbconvert/commit/ce4bd… | x_refsource_MISC |
| https://github.com/jupyter/nbconvert/releases/tag… | x_refsource_MISC |
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CVE-2026-86258 (GCVE-0-2026-86258)
Vulnerability from cvelistv5 – Published: 2026-09-06 12:37 – Updated: 2026-09-24 14:21
VLAI
EPSS
VEX
Title
nbviewer through 1.0.1 Path Traversal via LocalFileHandler
Summary
nbviewer through 1.0.1 contains a path traversal vulnerability in LocalFileHandler.can_show() that uses string-prefix comparison instead of proper path validation. Attackers can read files from sibling directories outside the configured root by requesting paths that share the root as a textual prefix, disclosing unintended notebooks and credentials.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-10 14:19 UTC
CWE
- CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://github.com/jupyter/nbviewer/issues/1115 | issue-tracking |
| https://github.com/jupyter/nbviewer/blob/1.0.1/nb… | technical-description |
| https://github.com/jupyter/nbviewer/commit/aad361… | patch |
| https://github.com/jupyter/nbviewer | product |
| https://www.vulncheck.com/advisories/nbviewer-thr… | third-party-advisory |
Date Public
2026-06-18 00:00
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CVE-2026-44182 (GCVE-0-2026-44182)
Vulnerability from cvelistv5 – Published: 2026-07-16 22:05 – Updated: 2026-07-17 15:04
VLAI
EPSS
VEX
Title
Jupyter Enterprise Gateway Has Kubernetes Manifest Injection via Jinja2 Template Rendering
Summary
Jupyter Enterprise Gateway launches remote Jupyter Notebook kernels across distributed clusters like Apache Spark, Kubernetes, and Docker Swarm. In versions prior to 3.3.0, the server interpolates untrusted environment variables (e.g., KERNEL_XXX) into Kubernetes manifests without YAML-aware escaping, enabling YAML injection attacks. Attackers can inject new fields, overwrite critical fields (e.g., duplicate securityContext keys, where the last one prevails), and inject document boundaries (--- for new documents, ... for end-of-document) to generate multiple resources, potentially creating arbitrary types, such as privileged pods. The Jinja2 template for the Kubernetes manifest contains several kernel_xxx variables, such as kernel_working_dir that are used when rendering the manifest and are all vectors for YAML injection. This issue has been fixed in version 3.3.0.
Severity
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-17 15:04 UTC
CWE
- CWE-74 - Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection')
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/jupyter-server/enterprise_gate… | x_refsource_CONFIRM |
| https://github.com/jupyter-server/enterprise_gate… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| jupyter-server | enterprise_gateway |
Affected:
< 3.3.0
|
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CVE-2026-44181 (GCVE-0-2026-44181)
Vulnerability from cvelistv5 – Published: 2026-07-16 22:03 – Updated: 2026-07-17 14:05
VLAI
EPSS
VEX
Title
Jupyter Enterprise Gateway: Jinja2 Template Server Side Template Injection results in Remote Code Execution
Summary
Jupyter Enterprise Gateway launches remote Jupyter Notebook kernels across distributed clusters like Apache Spark, Kubernetes, and Docker Swarm. In versions 2.0.0rc2 and above, prior to 3.3.0, the environment variables (KERNEL_XXX) used during the rendering of the Kubernetes manifest are vulnerable to Server Side Template Injection (SSTI). By including Jinja2 template expressions it is possible to execution Python code and OS Commands in the Enterprise Gateway service. The code can use or steal the Kubernetes service account token, which can steal Kubernetes secrets and be used to fully compromise the Kubernetes cluster by scheduling a privileged pod or a pod with a hostPath volume mount. This issue has been fixed in version 3.3.0.
Severity
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-17 14:04 UTC
CWE
- CWE-1336 - Improper Neutralization of Special Elements Used in a Template Engine
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/jupyter-server/enterprise_gate… | x_refsource_CONFIRM |
| https://github.com/jupyter-server/enterprise_gate… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| jupyter-server | enterprise_gateway |
Affected:
>= 2.0.0rc2, < 3.3.0
|
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{
"metrics": [
{
"other": {
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}
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}
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CVE-2026-44180 (GCVE-0-2026-44180)
Vulnerability from cvelistv5 – Published: 2026-07-16 21:59 – Updated: 2026-07-17 14:23
VLAI
EPSS
VEX
Title
Jupyter Enterprise Gateway: ContainerProcessProxy._enforce_prohibited_ids can be Bypassed
Summary
Jupyter Enterprise Gateway launches remote Jupyter Notebook kernels across distributed clusters like Apache Spark, Kubernetes, and Docker Swarm. Versions 2.0.0rc1 and above prior to 3.3.0 have a prohibited UID and GID feature that by default prevents launching kernels with UID or GID 0 (root), and this restriction can be bypassed using a specially crafted KERNEL_UID or KERNEL_GID value. This input validation vulnerability allows running Jupyter kernels as root, which can be dangerous as it allows more attack surface, and may lead to container escapes, compromising the worker node and all workloads running on it. Repeated exploitation can compromise all worker nodes, and thus the entire Kubernetes cluster. It is possible to specify volume mounts, so one vector for a container escape is to use a hostPath R/W volume mount, use this UID/GID bypass to run as root, and then gain code execution in the underlying worker node by creating a crontab entry in the mounted host file system. This issue has been fixed in version 3.0.0.
Severity
9.8 (Critical)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-17 14:20 UTC
CWE
- CWE-20 - Improper Input Validation
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/jupyter-server/enterprise_gate… | x_refsource_CONFIRM |
| https://github.com/jupyter-server/enterprise_gate… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| jupyter-server | enterprise_gateway |
Affected:
>= 2.0.0rc1, < 3.3.0
|
{
"containers": {
"adp": [
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2026-44180",
"options": [
{
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},
{
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},
{
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}
],
"role": "CISA Coordinator",
"timestamp": "2026-07-17T14:20:43.912230Z",
"version": "2.0.3"
},
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],
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}
],
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"product": "enterprise_gateway",
"vendor": "jupyter-server",
"versions": [
{
"status": "affected",
"version": "\u003e= 2.0.0rc1, \u003c 3.3.0"
}
]
}
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}
],
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"attackVector": "NETWORK",
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},
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"tags": [
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"discovery": "UNKNOWN"
},
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}
},
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}
CVE-2026-54528 (GCVE-0-2026-54528)
Vulnerability from cvelistv5 – Published: 2026-07-08 21:04 – Updated: 2026-07-09 13:04
VLAI
EPSS
VEX
Title
jupyterlab-git excluded_paths Case-Sensitivity Bypass Allows Reading Excluded Directories
Summary
JupyterLab Git is a Git extension for JupyterLab. Prior to 0.54.0, jupyterlab-git uses fnmatch.fnmatchcase() in GitHandler.prepare() in jupyterlab_git/handlers.py to enforce excluded_paths, allowing an authenticated user on a case-insensitive filesystem to vary URL path casing and read excluded directories. This issue is fixed in version 0.54.0.
Severity
7.1 (High)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-09 13:04 UTC
CWE
- CWE-178 - Improper Handling of Case Sensitivity
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/jupyterlab/jupyterlab-git/secu… | x_refsource_CONFIRM |
| https://github.com/jupyterlab/jupyterlab-git/comm… | x_refsource_MISC |
| https://github.com/jupyterlab/jupyterlab-git/rele… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| jupyterlab | jupyterlab-git |
Affected:
< 0.54.0
|
{
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"adp": [
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2026-54528",
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},
{
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},
{
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}
],
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"timestamp": "2026-07-09T13:04:29.311015Z",
"version": "2.0.3"
},
"type": "ssvc"
}
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"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
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},
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],
"url": "https://github.com/jupyterlab/jupyterlab-git/security/advisories/GHSA-436q-jwfr-rm2h"
}
],
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
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"product": "jupyterlab-git",
"vendor": "jupyterlab",
"versions": [
{
"status": "affected",
"version": "\u003c 0.54.0"
}
]
}
],
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}
],
"metrics": [
{
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"baseScore": 7.1,
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"confidentialityImpact": "HIGH",
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"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:N",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
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"description": "CWE-178: Improper Handling of Case Sensitivity",
"lang": "en",
"type": "CWE"
}
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"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
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},
"references": [
{
"name": "https://github.com/jupyterlab/jupyterlab-git/security/advisories/GHSA-436q-jwfr-rm2h",
"tags": [
"x_refsource_CONFIRM"
],
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},
{
"name": "https://github.com/jupyterlab/jupyterlab-git/commit/460035275b5963dc96e364e60ba6a73717fbd033",
"tags": [
"x_refsource_MISC"
],
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},
{
"name": "https://github.com/jupyterlab/jupyterlab-git/releases/tag/v0.54.0",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/jupyterlab/jupyterlab-git/releases/tag/v0.54.0"
}
],
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"discovery": "UNKNOWN"
},
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}
},
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CVE-2026-54527 (GCVE-0-2026-54527)
Vulnerability from cvelistv5 – Published: 2026-07-08 21:03 – Updated: 2026-07-09 14:16
VLAI
EPSS
VEX
Title
JupyterLab Git: Stored XSS leading to RCE
Summary
JupyterLab Git is a Git extension for JupyterLab. From 0.30.0b3 before 0.54.0, the PlainTextDiff.ts createHeader() method passes Git filenames directly to innerHTML when rendering renamed files in commit history, allowing a crafted filename to execute JavaScript when a victim views the rename diff in the Git History tab. This issue is fixed in version 0.54.0.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-09 14:15 UTC
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/jupyterlab/jupyterlab-git/secu… | x_refsource_CONFIRM |
| https://github.com/jupyterlab/jupyterlab-git/comm… | x_refsource_MISC |
| https://github.com/jupyterlab/jupyterlab-git/rele… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| jupyterlab | jupyterlab-git |
Affected:
>= 0.30.0b3, < 0.54.0
|
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CVE-2026-6658 (GCVE-0-2026-6658)
Vulnerability from cvelistv5 – Published: 2026-06-26 09:40 – Updated: 2026-06-26 10:19
VLAI
EPSS
VEX
Title
Cross-site Scripting (XSS) in jupyter/nbconvert
Summary
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.
Severity
5.4 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-06-26 10:19 UTC
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| jupyter | jupyter/jupyter |
Affected:
unspecified , ≤ latest
(custom)
|
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CVE-2026-44727 (GCVE-0-2026-44727)
Vulnerability from cvelistv5 – Published: 2026-06-22 19:56 – Updated: 2026-08-28 12:04
VLAI
EPSS
VEX
Title
Jupyter Server: Stored XSS in `NbconvertFileHandler` / `NbconvertPostHandler` via missing `sandbox` CSP
Summary
Jupyter Server is the backend for Jupyter web applications. Prior to 2.20, the nbconvert HTTP handlers in jupyter_server render user-authored notebook HTML under the Jupyter origin without a sandbox directive in their Content-Security-Policy. Combined with nbconvert.HTMLExporter's default non-sanitizing behavior, a notebook carrying an HTML payload in a display_data output triggers stored XSS with cookie access, full /api/* authority, and kernel RCE. This vulnerability is fixed in 2.20.
Severity
9 (Critical)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-06-23 12:15 UTC
CWE
Assigner
References
7 references
| URL | Tags |
|---|---|
| https://github.com/jupyter-server/jupyter_server/… | x_refsource_CONFIRM |
| https://github.com/jupyter-server/jupyter_server/… | x_refsource_MISC |
| https://access.redhat.com/security/cve/CVE-2026-44727 | vdb-entryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=2491516 | issue-trackingx_refsource_REDHAT |
| https://security.access.redhat.com/data/csaf/v2/v… | x_sadp-csaf-vex |
| https://access.redhat.com/errata/RHSA-2026:43038 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2026:60520 | vendor-advisoryx_refsource_REDHAT |
Impacted products
15 products
| Vendor | Product | Version | |
|---|---|---|---|
| jupyter-server | jupyter_server |
Affected:
< 2.20
|
|
| Red Hat | Red Hat Migration Toolkit for Applications 8.2 |
Unaffected:
1784109883 , < *
(rpm)
cpe:/a:redhat:migration_toolkit_applications:8.2::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787076778 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787077779 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787076481 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787074331 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073913 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787074078 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073929 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073605 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073546 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073717 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073713 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073593 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI (RHOAI) |
cpe:/a:redhat:openshift_ai
|
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CVE-2026-6657 (GCVE-0-2026-6657)
Vulnerability from cvelistv5 – Published: 2026-06-03 15:06 – Updated: 2026-06-03 17:25
VLAI
EPSS
VEX
Title
CORS Origin Validation Bypass in jupyter-server
Summary
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.
Severity
6.1 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-06-03 17:24 UTC
CWE
- CWE-346 - Origin Validation Error
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| jupyter | jupyter/jupyter |
Affected:
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(custom)
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CVE-2026-5422 (GCVE-0-2026-5422)
Vulnerability from cvelistv5 – Published: 2026-06-02 09:11 – Updated: 2026-06-02 12:14
VLAI
EPSS
VEX
Title
Path Traversal in jupyter/jupyter
Summary
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.
Severity
6.8 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-06-02 12:13 UTC
CWE
- CWE-23 - Relative Path Traversal
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| jupyter | jupyter/jupyter |
Affected:
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CVE-2026-40864 (GCVE-0-2026-40864)
Vulnerability from cvelistv5 – Published: 2026-05-22 20:13 – Updated: 2026-05-26 13:13
VLAI
EPSS
VEX
Title
JupyterHub: Cross-origin form POSTs bypass XSRF
Summary
JupyterHub is software that allows users to create a multi-user server for Jupyter notebooks. In versions 4.1.0 through 5.4.4, XSRF protection (updated in 4.1.0) inappropriately treated requests with Sec-Fetch-Mode: no-cors as same-origin requests, bypassing XSRF checks. The JSON API is not affected, only HTTP form endpoints, such as /hub/spawn and /hub/accept-share, meaning attackers could trigger server spawn (but not access the server) and if the attacker is a JupyterHub user permitted to share access to their server, cause a user to accept a share and have access to the attacker's server. This issue has been fixed in version 5.4.5. If developers are unable to immediately upgrade, they can temporarily mitigate this issue by dropping requests to JupyterHub with Sec-Fetch-Mode: no-cors if they are using a reverse proxy.
Severity
5.4 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-05-26 13:13 UTC
CWE
- CWE-352 - Cross-Site Request Forgery (CSRF)
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/jupyterhub/jupyterhub/security… | x_refsource_CONFIRM |
| https://github.com/jupyterhub/jupyterhub/commit/9… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| jupyterhub | jupyterhub |
Affected:
>= 4.1.0, < 5.4.5
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CVE-2026-42266 (GCVE-0-2026-42266)
Vulnerability from cvelistv5 – Published: 2026-05-13 15:08 – Updated: 2026-08-28 12:04
VLAI
EPSS
VEX
Title
JupyterLab has an Extension Manager API/GUI Policy Discrepancy allowing 3rd party (malicious) extensions install via POST request.
Summary
JupyterLab is an extensible environment for interactive and reproducible computing, based on the Jupyter Notebook Architecture. From 4.0.0 to 4.5.6, the allow-list of extensions that can be installed from PyPI Extension Manager (allowed_extensions_uris) is not correctly enforced by JupyterLab. The PyPI Extension Manager was not contained to packages listed on the default PyPI index. This vulnerability is fixed in 4.5.7.
Severity
8.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-05-13 00:00 UTC
CWE
Assigner
References
9 references
| URL | Tags |
|---|---|
| https://github.com/jupyterlab/jupyterlab/security… | x_refsource_CONFIRM |
| https://github.com/jupyterlab/jupyterlab/releases… | x_refsource_MISC |
| https://jupyterhub.readthedocs.io/en/5.2.1/explan… | x_refsource_MISC |
| https://jupyterlab.readthedocs.io/en/latest/user/… | x_refsource_MISC |
| https://access.redhat.com/security/cve/CVE-2026-42266 | vdb-entryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=2477072 | issue-trackingx_refsource_REDHAT |
| https://security.access.redhat.com/data/csaf/v2/v… | x_sadp-csaf-vex |
| https://access.redhat.com/errata/RHSA-2026:43038 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2026:60520 | vendor-advisoryx_refsource_REDHAT |
Impacted products
15 products
| Vendor | Product | Version | |
|---|---|---|---|
| jupyterlab | jupyterlab |
Affected:
>= 4.0.0, < 4.5.7
|
|
| Red Hat | Red Hat Migration Toolkit for Applications 8.2 |
Unaffected:
1784109883 , < *
(rpm)
cpe:/a:redhat:migration_toolkit_applications:8.2::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787076778 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787077779 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787076481 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787074331 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073913 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787074078 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073929 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073605 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073546 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073717 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073713 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073593 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI (RHOAI) |
cpe:/a:redhat:openshift_ai
|
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CVE-2026-42557 (GCVE-0-2026-42557)
Vulnerability from cvelistv5 – Published: 2026-05-13 15:06 – Updated: 2026-08-28 12:04
VLAI
EPSS
VEX
Title
jupyterlab: Command linker attributes in HTML enable one-click command execution from untrusted content
Summary
jupyterlab is an extensible environment for interactive and reproducible computing, based on the Jupyter Notebook Architecture. Prior to 4.5.7, JupyterLab's HTML sanitizer allowlists data-commandlinker-command and data-commandlinker-args on button elements, while CommandLinker listens for all click events on document.body and executes the named command without checking whether the element came from trusted JupyterLab UI. A notebook with a pre-saved HTML cell output containing a deceptive button can trigger arbitrary JupyterLab commands - including arbitrary code execution - on a single user click, without any code being submitted for execution by the user. This vulnerability is fixed in 4.5.7.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-05-14 17:57 UTC
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Assigner
References
6 references
| URL | Tags |
|---|---|
| https://github.com/jupyterlab/jupyterlab/security… | x_refsource_CONFIRM |
| https://access.redhat.com/security/cve/CVE-2026-42557 | vdb-entryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=2477086 | issue-trackingx_refsource_REDHAT |
| https://security.access.redhat.com/data/csaf/v2/v… | x_sadp-csaf-vex |
| https://access.redhat.com/errata/RHSA-2026:43038 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2026:60520 | vendor-advisoryx_refsource_REDHAT |
Impacted products
16 products
| Vendor | Product | Version | |
|---|---|---|---|
| jupyterlab | jupyterlab |
Affected:
< 4.5.7
|
|
| jupyter | notebook |
Affected:
>= 7.0.0, < 7.5.6
|
|
| Red Hat | Red Hat Migration Toolkit for Applications 8.2 |
Unaffected:
1784109883 , < *
(rpm)
cpe:/a:redhat:migration_toolkit_applications:8.2::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787076778 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787077779 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787076481 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787074331 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073913 , < *
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cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
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|
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|
| Red Hat | Red Hat OpenShift AI 3.4 |
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|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073546 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073717 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073713 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073593 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI (RHOAI) |
cpe:/a:redhat:openshift_ai
|
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CVE-2026-40171 (GCVE-0-2026-40171)
Vulnerability from cvelistv5 – Published: 2026-05-06 19:36 – Updated: 2026-05-08 03:55
VLAI
EPSS
VEX
Title
Jupyter Notebook and JupyterLab token theft via stored XSS in help command linker
Summary
In Jupyter Notebook versions 7.0.0 through 7.5.5, JupyterLab versions 4.5.6 and earlier, and the corresponding @jupyter-notebook/help-extension and @jupyterlab/help-extension packages before 7.5.6 and 4.5.7, a stored cross-site scripting issue in the help command linker can be chained with attacker-controlled notebook content to steal authentication tokens with a single click.
An attacker can craft a malicious notebook file containing elements that appear indistinguishable from legitimate controls and trigger execution when a user interacts with them. Successful exploitation allows theft of the user's authentication token and complete takeover of the Jupyter session through the REST API, including reading files, creating or modifying files, accessing kernels to execute arbitrary code, and creating terminals for shell access. This issue has been fixed in Notebook 7.5.6, JupyterLab 4.5.7, @jupyter-notebook/help-extension 7.5.6, and @jupyterlab/help-extension 4.5.7. As a workaround, disable the affected help extensions or set allowCommandLinker to false in the sanitizer configuration.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-05-07 00:00 UTC
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/jupyter/notebook/security/advi… | x_refsource_CONFIRM |
Impacted products
4 products
| Vendor | Product | Version | |
|---|---|---|---|
| jupyter | notebook |
Affected:
>=7.0.0, <= 7.5.5
|
|
| jupyterlab | help-extension |
Affected:
<=4.5.6
|
|
| jupyterlab | jupyterlab |
Affected:
<= 4.5.6
|
|
| jupyter-notebook | help-extension |
Affected:
>=7.0.0,<= 7.5.5
|
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"cveId": "CVE-2026-40171",
"datePublished": "2026-05-06T19:36:32.072Z",
"dateReserved": "2026-04-09T19:31:56.015Z",
"dateUpdated": "2026-05-08T03:55:41.465Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}