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126 vulnerabilities by jupyter
CVE-2026-6657 (GCVE-0-2026-6657)
Vulnerability from nvd – Published: 2026-06-03 15:06 – Updated: 2026-06-03 17:25
VLAI
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 (v2.0.3)
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
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 (v2.0.3)
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
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 (v2.0.3)
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: 2026-05-14 17:59
VLAI
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 (v2.0.3)
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/jupyterlab/jupyterlab/security… | x_refsource_CONFIRM |
Impacted products
2 products
| Vendor | Product | Version | |
|---|---|---|---|
| jupyterlab | jupyterlab |
Affected:
< 4.5.7
|
|
| jupyter | notebook |
Affected:
>= 7.0.0, < 7.5.6
|
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CVE-2026-42266 (GCVE-0-2026-42266)
Vulnerability from nvd – Published: 2026-05-13 15:08 – Updated: 2026-05-21 00:41
VLAI
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 (v2.0.3)
CWE
Assigner
References
4 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 |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| jupyterlab | jupyterlab |
Affected:
>= 4.0.0, < 4.5.7
|
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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
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 (v2.0.3)
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-2026-40934 (GCVE-0-2026-40934)
Vulnerability from nvd – Published: 2026-05-05 21:31 – Updated: 2026-05-07 12:48
VLAI
Title
jupyter-server authentication cookies remain valid after password reset due to static cookie secret
Summary
Jupyter Server is the backend for Jupyter web applications. In versions 2.17.0 and earlier, the secret used to sign authentication cookies is persisted to a static file at ~/.local/share/jupyter/runtime/jupyter_cookie_secret and is never rotated when a user changes their password. After a password reset and server restart, any previously issued authentication cookie remains cryptographically valid because the signing key has not changed. An attacker who has captured a session cookie through any means retains full authenticated access to the server regardless of subsequent password changes. This affects deployments using password-based authentication, particularly shared or public-facing servers where credential rotation is expected to revoke existing sessions. This issue has been fixed in version 2.18.0.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-613 - Insufficient Session Expiration
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/jupyter-server/jupyter_server/… | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| jupyter-server | jupyter_server |
Affected:
< 2.18.0
|
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CVE-2026-40110 (GCVE-0-2026-40110)
Vulnerability from nvd – Published: 2026-05-05 21:29 – Updated: 2026-05-07 12:47
VLAI
Title
jupyter-server CORS origin validation bypass via unanchored regex in allow_origin_pat
Summary
Jupyter Server is the backend for Jupyter web applications. In versions 2.17.0 and earlier, the Origin header validation uses Python's re.match() to check incoming origins against the allow_origin_pat configuration value. Because re.match() only anchors at the start of the string and does not require a full match, a pattern intended to match only a trusted domain (e.g., trusted.example.com) will also match any origin that begins with that domain followed by additional characters (e.g., trusted.example.com.evil.com). An attacker who controls such a domain can bypass the CORS origin restriction and make cross-origin requests to the Jupyter Server API from an untrusted site. This issue has been fixed in version 2.18.0.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-777 - Regular Expression without Anchors
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/jupyter-server/jupyter_server/… | x_refsource_CONFIRM |
| https://github.com/jupyter-server/jupyter_server/… | x_refsource_MISC |
| https://github.com/jupyter-server/jupyter_server/… | x_refsource_MISC |
| https://github.com/jupyter-server/jupyter_server/… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| jupyter-server | jupyter_server |
Affected:
<= 2.17.0
|
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CVE-2026-35397 (GCVE-0-2026-35397)
Vulnerability from nvd – Published: 2026-05-05 19:37 – Updated: 2026-05-08 03:55
VLAI
Title
jupyter-server path traversal allows access to sibling directories sharing root_dir name prefix
Summary
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.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/jupyter-server/jupyter_server/… | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| jupyter-server | jupyter_server |
Affected:
< 2.18.0
|
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CVE-2025-61669 (GCVE-0-2025-61669)
Vulnerability from nvd – Published: 2026-05-05 15:28 – Updated: 2026-05-05 20:16
VLAI
Title
jupyter_server next parameter open redirect can redirect users to external domains
Summary
Jupyter Server is the backend for Jupyter web applications. In jupyter_server versions through 2.17.0, the next query parameter in the login flow is insufficiently validated in `LoginFormHandler._redirect_safe()`, which allows redirects to arbitrary external domains via values such as `///example.com`. An attacker can use a crafted login URL to redirect users to a malicious site and facilitate phishing attacks. This issue is fixed in version 2.18.0.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-601 - URL Redirection to Untrusted Site ('Open Redirect')
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/jupyter-server/jupyter_server/… | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| jupyter-server | jupyter_server |
Affected:
<= 2.17.0
|
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CVE-2026-39378 (GCVE-0-2026-39378)
Vulnerability from nvd – Published: 2026-04-21 00:17 – Updated: 2026-04-21 13:43
VLAI
Title
nbconvert has an Arbitrary File Read via Path Traversal in HTMLExporter Image Embedding
Summary
The nbconvert tool, jupyter nbconvert, converts Jupyter notebooks to various other formats via Jinja templates. In versions 6.5 through 7.17.0, when `HTMLExporter.embed_images=True`, nbconvert's markdown renderer allows arbitrary file read via path traversal in image references. A malicious notebook can exfiltrate sensitive files from the conversion host by embedding them as base64 data URIs in the output HTML. nbconvert 7.17.1 contains a fix. As a workaround, do not enable `HTMLExporter.embed_images`; it is not enabled by default.
Severity
6.5 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/jupyter/nbconvert/security/adv… | x_refsource_CONFIRM |
| https://github.com/jupyter/nbconvert/releases/tag… | x_refsource_MISC |
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CVE-2026-39377 (GCVE-0-2026-39377)
Vulnerability from nvd – Published: 2026-04-21 00:14 – Updated: 2026-04-21 19:49
VLAI
Title
nbconvert has an Arbitrary File Write via Path Traversal in Cell Attachment Filenames
Summary
The nbconvert tool, jupyter nbconvert, converts Jupyter notebooks to various other formats via Jinja templates. Versions 6.5 through 7.17.0 allow arbitrary file writes to locations outside the intended output directory when processing notebooks containing crafted cell attachment filenames. The `ExtractAttachmentsPreprocessor` passes attachment filenames directly to the filesystem without sanitization, enabling path traversal attacks. This vulnerability provides complete control over both the destination path and file extension. Version 7.17.1 contains a patch.
Severity
6.5 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/jupyter/nbconvert/security/adv… | x_refsource_CONFIRM |
| https://github.com/jupyter/nbconvert/releases/tag… | x_refsource_MISC |
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CVE-2026-34052 (GCVE-0-2026-34052)
Vulnerability from nvd – Published: 2026-04-03 22:04 – Updated: 2026-04-06 18:59
VLAI
Title
LTI JupyterHub Authenticator: Unbounded Memory Growth via Nonce Storage (Denial of Service)
Summary
LTI JupyterHub Authenticator is a JupyterHub authenticator for LTI. Prior to version 1.6.3, the LTI 1.1 validator stores OAuth nonces in a class-level dictionary that grows without bounds. Nonces are added before signature validation, so an attacker with knowledge of a valid consumer key can send repeated requests with unique nonces to gradually exhaust server memory, causing a denial of service. This issue has been patched in version 1.6.3.
Severity
5.9 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/jupyterhub/ltiauthenticator/se… | x_refsource_CONFIRM |
| https://github.com/jupyterhub/ltiauthenticator/re… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| jupyterhub | ltiauthenticator |
Affected:
< 1.6.3
|
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CVE-2026-33709 (GCVE-0-2026-33709)
Vulnerability from nvd – Published: 2026-04-03 22:00 – Updated: 2026-04-06 17:33
VLAI
Title
JupyterHub has an Open Redirect Vulnerability
Summary
JupyterHub is software that allows one to create a multi-user server for Jupyter notebooks. Prior to version 5.4.4, an open redirect vulnerability in JupyterHub allows attackers to construct links which, when clicked, take users to the JupyterHub login page, after which they are sent to an arbitrary attacker-controlled site outside JupyterHub instead of a JupyterHub page, bypassing JupyterHub's check to prevent this. This issue has been patched in version 5.4.4.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-601 - URL Redirection to Untrusted Site ('Open Redirect')
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/jupyterhub/jupyterhub/security… | x_refsource_CONFIRM |
| https://github.com/jupyterhub/jupyterhub/releases… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| jupyterhub | jupyterhub |
Affected:
< 5.4.4
|
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CVE-2026-33175 (GCVE-0-2026-33175)
Vulnerability from nvd – Published: 2026-04-03 21:56 – Updated: 2026-04-07 16:01
VLAI
Title
OAuthenticator: Authentication Bypass in Auth0OAuthenticator via Unverified Email Claims
Summary
OAuthenticator is software that allows OAuth2 identity providers to be plugged in and used with JupyterHub. Prior to version 17.4.0, an authentication bypass vulnerability in oauthenticator allows an attacker with an unverified email address on an Auth0 tenant to login to JupyterHub. When email is used as the usrname_claim, this gives users control over their username and the possibility of account takeover. This issue has been patched in version 17.4.0.
Severity
8.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/jupyterhub/oauthenticator/secu… | x_refsource_CONFIRM |
| https://github.com/jupyterhub/oauthenticator/comm… | x_refsource_MISC |
| https://github.com/jupyterhub/oauthenticator/rele… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| jupyterhub | oauthenticator |
Affected:
< 17.4.0
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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
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 (v2.0.3)
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 cvelistv5 – Published: 2026-06-02 09:11 – Updated: 2026-06-02 12:14
VLAI
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 (v2.0.3)
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 cvelistv5 – Published: 2026-05-22 20:13 – Updated: 2026-05-26 13:13
VLAI
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 (v2.0.3)
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: 2026-05-21 00:41
VLAI
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 (v2.0.3)
CWE
Assigner
References
4 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 |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| jupyterlab | jupyterlab |
Affected:
>= 4.0.0, < 4.5.7
|
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CVE-2026-42557 (GCVE-0-2026-42557)
Vulnerability from cvelistv5 – Published: 2026-05-13 15:06 – Updated: 2026-05-14 17:59
VLAI
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 (v2.0.3)
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/jupyterlab/jupyterlab/security… | x_refsource_CONFIRM |
Impacted products
2 products
| Vendor | Product | Version | |
|---|---|---|---|
| jupyterlab | jupyterlab |
Affected:
< 4.5.7
|
|
| jupyter | notebook |
Affected:
>= 7.0.0, < 7.5.6
|
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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
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 (v2.0.3)
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-2026-40934 (GCVE-0-2026-40934)
Vulnerability from cvelistv5 – Published: 2026-05-05 21:31 – Updated: 2026-05-07 12:48
VLAI
Title
jupyter-server authentication cookies remain valid after password reset due to static cookie secret
Summary
Jupyter Server is the backend for Jupyter web applications. In versions 2.17.0 and earlier, the secret used to sign authentication cookies is persisted to a static file at ~/.local/share/jupyter/runtime/jupyter_cookie_secret and is never rotated when a user changes their password. After a password reset and server restart, any previously issued authentication cookie remains cryptographically valid because the signing key has not changed. An attacker who has captured a session cookie through any means retains full authenticated access to the server regardless of subsequent password changes. This affects deployments using password-based authentication, particularly shared or public-facing servers where credential rotation is expected to revoke existing sessions. This issue has been fixed in version 2.18.0.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-613 - Insufficient Session Expiration
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/jupyter-server/jupyter_server/… | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| jupyter-server | jupyter_server |
Affected:
< 2.18.0
|
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CVE-2026-40110 (GCVE-0-2026-40110)
Vulnerability from cvelistv5 – Published: 2026-05-05 21:29 – Updated: 2026-05-07 12:47
VLAI
Title
jupyter-server CORS origin validation bypass via unanchored regex in allow_origin_pat
Summary
Jupyter Server is the backend for Jupyter web applications. In versions 2.17.0 and earlier, the Origin header validation uses Python's re.match() to check incoming origins against the allow_origin_pat configuration value. Because re.match() only anchors at the start of the string and does not require a full match, a pattern intended to match only a trusted domain (e.g., trusted.example.com) will also match any origin that begins with that domain followed by additional characters (e.g., trusted.example.com.evil.com). An attacker who controls such a domain can bypass the CORS origin restriction and make cross-origin requests to the Jupyter Server API from an untrusted site. This issue has been fixed in version 2.18.0.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-777 - Regular Expression without Anchors
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/jupyter-server/jupyter_server/… | x_refsource_CONFIRM |
| https://github.com/jupyter-server/jupyter_server/… | x_refsource_MISC |
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| https://github.com/jupyter-server/jupyter_server/… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| jupyter-server | jupyter_server |
Affected:
<= 2.17.0
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CVE-2026-35397 (GCVE-0-2026-35397)
Vulnerability from cvelistv5 – Published: 2026-05-05 19:37 – Updated: 2026-05-08 03:55
VLAI
Title
jupyter-server path traversal allows access to sibling directories sharing root_dir name prefix
Summary
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.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/jupyter-server/jupyter_server/… | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| jupyter-server | jupyter_server |
Affected:
< 2.18.0
|
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CVE-2025-61669 (GCVE-0-2025-61669)
Vulnerability from cvelistv5 – Published: 2026-05-05 15:28 – Updated: 2026-05-05 20:16
VLAI
Title
jupyter_server next parameter open redirect can redirect users to external domains
Summary
Jupyter Server is the backend for Jupyter web applications. In jupyter_server versions through 2.17.0, the next query parameter in the login flow is insufficiently validated in `LoginFormHandler._redirect_safe()`, which allows redirects to arbitrary external domains via values such as `///example.com`. An attacker can use a crafted login URL to redirect users to a malicious site and facilitate phishing attacks. This issue is fixed in version 2.18.0.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-601 - URL Redirection to Untrusted Site ('Open Redirect')
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/jupyter-server/jupyter_server/… | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| jupyter-server | jupyter_server |
Affected:
<= 2.17.0
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CVE-2026-39378 (GCVE-0-2026-39378)
Vulnerability from cvelistv5 – Published: 2026-04-21 00:17 – Updated: 2026-04-21 13:43
VLAI
Title
nbconvert has an Arbitrary File Read via Path Traversal in HTMLExporter Image Embedding
Summary
The nbconvert tool, jupyter nbconvert, converts Jupyter notebooks to various other formats via Jinja templates. In versions 6.5 through 7.17.0, when `HTMLExporter.embed_images=True`, nbconvert's markdown renderer allows arbitrary file read via path traversal in image references. A malicious notebook can exfiltrate sensitive files from the conversion host by embedding them as base64 data URIs in the output HTML. nbconvert 7.17.1 contains a fix. As a workaround, do not enable `HTMLExporter.embed_images`; it is not enabled by default.
Severity
6.5 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/jupyter/nbconvert/security/adv… | x_refsource_CONFIRM |
| https://github.com/jupyter/nbconvert/releases/tag… | x_refsource_MISC |
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CVE-2026-39377 (GCVE-0-2026-39377)
Vulnerability from cvelistv5 – Published: 2026-04-21 00:14 – Updated: 2026-04-21 19:49
VLAI
Title
nbconvert has an Arbitrary File Write via Path Traversal in Cell Attachment Filenames
Summary
The nbconvert tool, jupyter nbconvert, converts Jupyter notebooks to various other formats via Jinja templates. Versions 6.5 through 7.17.0 allow arbitrary file writes to locations outside the intended output directory when processing notebooks containing crafted cell attachment filenames. The `ExtractAttachmentsPreprocessor` passes attachment filenames directly to the filesystem without sanitization, enabling path traversal attacks. This vulnerability provides complete control over both the destination path and file extension. Version 7.17.1 contains a patch.
Severity
6.5 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/jupyter/nbconvert/security/adv… | x_refsource_CONFIRM |
| https://github.com/jupyter/nbconvert/releases/tag… | x_refsource_MISC |
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CVE-2026-34052 (GCVE-0-2026-34052)
Vulnerability from cvelistv5 – Published: 2026-04-03 22:04 – Updated: 2026-04-06 18:59
VLAI
Title
LTI JupyterHub Authenticator: Unbounded Memory Growth via Nonce Storage (Denial of Service)
Summary
LTI JupyterHub Authenticator is a JupyterHub authenticator for LTI. Prior to version 1.6.3, the LTI 1.1 validator stores OAuth nonces in a class-level dictionary that grows without bounds. Nonces are added before signature validation, so an attacker with knowledge of a valid consumer key can send repeated requests with unique nonces to gradually exhaust server memory, causing a denial of service. This issue has been patched in version 1.6.3.
Severity
5.9 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/jupyterhub/ltiauthenticator/se… | x_refsource_CONFIRM |
| https://github.com/jupyterhub/ltiauthenticator/re… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| jupyterhub | ltiauthenticator |
Affected:
< 1.6.3
|
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CVE-2026-33709 (GCVE-0-2026-33709)
Vulnerability from cvelistv5 – Published: 2026-04-03 22:00 – Updated: 2026-04-06 17:33
VLAI
Title
JupyterHub has an Open Redirect Vulnerability
Summary
JupyterHub is software that allows one to create a multi-user server for Jupyter notebooks. Prior to version 5.4.4, an open redirect vulnerability in JupyterHub allows attackers to construct links which, when clicked, take users to the JupyterHub login page, after which they are sent to an arbitrary attacker-controlled site outside JupyterHub instead of a JupyterHub page, bypassing JupyterHub's check to prevent this. This issue has been patched in version 5.4.4.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-601 - URL Redirection to Untrusted Site ('Open Redirect')
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/jupyterhub/jupyterhub/security… | x_refsource_CONFIRM |
| https://github.com/jupyterhub/jupyterhub/releases… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| jupyterhub | jupyterhub |
Affected:
< 5.4.4
|
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CVE-2026-33175 (GCVE-0-2026-33175)
Vulnerability from cvelistv5 – Published: 2026-04-03 21:56 – Updated: 2026-04-07 16:01
VLAI
Title
OAuthenticator: Authentication Bypass in Auth0OAuthenticator via Unverified Email Claims
Summary
OAuthenticator is software that allows OAuth2 identity providers to be plugged in and used with JupyterHub. Prior to version 17.4.0, an authentication bypass vulnerability in oauthenticator allows an attacker with an unverified email address on an Auth0 tenant to login to JupyterHub. When email is used as the usrname_claim, this gives users control over their username and the possibility of account takeover. This issue has been patched in version 17.4.0.
Severity
8.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/jupyterhub/oauthenticator/secu… | x_refsource_CONFIRM |
| https://github.com/jupyterhub/oauthenticator/comm… | x_refsource_MISC |
| https://github.com/jupyterhub/oauthenticator/rele… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| jupyterhub | oauthenticator |
Affected:
< 17.4.0
|
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"x_refsource_MISC"
],
"url": "https://github.com/jupyterhub/oauthenticator/commit/f0c7002dc36e41efae0f674033cf7888a21d96f9"
},
{
"name": "https://github.com/jupyterhub/oauthenticator/releases/tag/17.4.0",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/jupyterhub/oauthenticator/releases/tag/17.4.0"
}
],
"source": {
"advisory": "GHSA-rrvg-cxh4-qhrv",
"discovery": "UNKNOWN"
},
"title": "OAuthenticator: Authentication Bypass in Auth0OAuthenticator via Unverified Email Claims"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-33175",
"datePublished": "2026-04-03T21:56:26.830Z",
"dateReserved": "2026-03-17T22:16:36.719Z",
"dateUpdated": "2026-04-07T16:01:12.600Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}