| Affected_by_vulnerabilities |
| 0 |
| url |
VCID-28rs-8cqr-bybp |
| vulnerability_id |
VCID-28rs-8cqr-bybp |
| summary |
The Jupyter Server provides the backend for Jupyter web applications. Jupyter Server on Windows has a vulnerability that lets unauthenticated attackers leak the NTLMv2 password hash of the Windows user running the Jupyter server. An attacker can crack this password to gain access to the Windows machine hosting the Jupyter server, or access other network-accessible machines or 3rd party services using that credential. Or an attacker perform an NTLM relay attack without cracking the credential to gain access to other network-accessible machines. This vulnerability is fixed in 2.14.1. |
| references |
|
| fixed_packages |
|
| aliases |
CVE-2024-35178, PYSEC-2024-165
|
| risk_score |
null |
| exploitability |
null |
| weighted_severity |
null |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-28rs-8cqr-bybp |
|
| 1 |
| url |
VCID-4afw-qvxb-27eg |
| vulnerability_id |
VCID-4afw-qvxb-27eg |
| 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. |
| references |
|
| fixed_packages |
|
| aliases |
CVE-2025-61669, GHSA-qh7q-6qm3-653w, PYSEC-2026-67
|
| risk_score |
null |
| exploitability |
null |
| weighted_severity |
null |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-4afw-qvxb-27eg |
|
| 2 |
| url |
VCID-bj7m-yew4-3qgz |
| vulnerability_id |
VCID-bj7m-yew4-3qgz |
| 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. |
| references |
|
| fixed_packages |
|
| aliases |
CVE-2026-40934, GHSA-5mrq-x3x5-8v8f, PYSEC-2026-69
|
| risk_score |
null |
| exploitability |
null |
| weighted_severity |
null |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-bj7m-yew4-3qgz |
|
| 3 |
| url |
VCID-bnpq-rekd-ekdc |
| vulnerability_id |
VCID-bnpq-rekd-ekdc |
| 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. |
| references |
|
| fixed_packages |
|
| aliases |
CVE-2026-35397, GHSA-5789-5fc7-67v3, PYSEC-2026-68
|
| risk_score |
null |
| exploitability |
null |
| weighted_severity |
null |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-bnpq-rekd-ekdc |
|
| 4 |
| url |
VCID-jstj-8yag-tfcj |
| vulnerability_id |
VCID-jstj-8yag-tfcj |
| summary |
Jupyter Server provides the backend (i.e. the core services, APIs, and REST endpoints) for Jupyter web applications like Jupyter Notebook. Prior to version 1.17.1, if notebook server is started with a value of `root_dir` that contains the starting user's home directory, then the underlying REST API can be used to leak the access token assigned at start time by guessing/brute forcing the PID of the jupyter server. While this requires an authenticated user session, this URL can be used from a cross-site scripting payload or from a hooked or otherwise compromised browser to leak this access token to a malicious third party. This token can be used along with the REST API to interact with Jupyter services/notebooks such as modifying or overwriting critical files, such as .bashrc or .ssh/authorized_keys, allowing a malicious user to read potentially sensitive data and possibly gain control of the impacted system. This issue is patched in version 1.17.1. |
| references |
|
| fixed_packages |
|
| aliases |
CVE-2022-29241, GHSA-q874-g24w-4q9g, PYSEC-2022-211
|
| risk_score |
null |
| exploitability |
null |
| weighted_severity |
null |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-jstj-8yag-tfcj |
|
| 5 |
| url |
VCID-n5zr-m5c8-v7hc |
| vulnerability_id |
VCID-n5zr-m5c8-v7hc |
| summary |
The Jupyter Server provides the backend (i.e. the core services, APIs, and REST endpoints) for Jupyter web applications like Jupyter notebook, JupyterLab, and Voila. Unhandled errors in API requests coming from an authenticated user include traceback information, which can include path information. There is no known mechanism by which to trigger these errors without authentication, so the paths revealed are not considered particularly sensitive, given that the requesting user has arbitrary execution permissions already in the same environment. A fix has been introduced in commit `0056c3aa52` which no longer includes traceback information in JSON error responses. For compatibility, the traceback field is present, but always empty. This commit has been included in version 2.11.2. Users are advised to upgrade. There are no known workarounds for this vulnerability. |
| references |
|
| fixed_packages |
|
| aliases |
CVE-2023-49080, GHSA-h56g-gq9v-vc8r, PYSEC-2023-272
|
| risk_score |
null |
| exploitability |
null |
| weighted_severity |
null |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-n5zr-m5c8-v7hc |
|
| 6 |
| url |
VCID-qxjd-ybkh-dyek |
| vulnerability_id |
VCID-qxjd-ybkh-dyek |
| summary |
jupyter-server is the backend for Jupyter web applications. Open Redirect Vulnerability. Maliciously crafted login links to known Jupyter Servers can cause successful login or an already logged-in session to be redirected to arbitrary sites, which should be restricted to Jupyter Server-served URLs. This issue has been addressed in commit `29036259` which is included in release 2.7.2. Users are advised to upgrade. There are no known workarounds for this vulnerability. |
| references |
|
| fixed_packages |
|
| aliases |
CVE-2023-39968, GHSA-r726-vmfq-j9j3, PYSEC-2023-155
|
| risk_score |
null |
| exploitability |
null |
| weighted_severity |
null |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-qxjd-ybkh-dyek |
|
| 7 |
| url |
VCID-rr3u-zpuc-dbhp |
| vulnerability_id |
VCID-rr3u-zpuc-dbhp |
| summary |
jupyter-server is the backend for Jupyter web applications. Improper cross-site credential checks on `/files/` URLs could allow exposure of certain file contents, or accessing files when opening untrusted files via "Open image in new tab". This issue has been addressed in commit `87a49272728` which has been included in release `2.7.2`. Users are advised to upgrade. Users unable to upgrade may use the lower performance `--ContentsManager.files_handler_class=jupyter_server.files.handlers.FilesHandler`, which implements the correct checks. |
| references |
|
| fixed_packages |
|
| aliases |
CVE-2023-40170, GHSA-64x5-55rw-9974, PYSEC-2023-157
|
| risk_score |
null |
| exploitability |
null |
| weighted_severity |
null |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-rr3u-zpuc-dbhp |
|
| 8 |
| url |
VCID-ubb8-ayvf-muf9 |
| vulnerability_id |
VCID-ubb8-ayvf-muf9 |
| summary |
The Jupyter Server provides the backend (i.e. the core services, APIs, and REST endpoints) for Jupyter web applications. Prior to version 1.15.4, unauthorized actors can access sensitive information from server logs. Anytime a 5xx error is triggered, the auth cookie and other header values are recorded in Jupyter Server logs by default. Considering these logs do not require root access, an attacker can monitor these logs, steal sensitive auth/cookie information, and gain access to the Jupyter server. Jupyter Server version 1.15.4 contains a patch for this issue. There are currently no known workarounds. |
| references |
|
| fixed_packages |
|
| aliases |
CVE-2022-24757, GHSA-p737-p57g-4cpr, PYSEC-2022-179
|
| risk_score |
null |
| exploitability |
null |
| weighted_severity |
null |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-ubb8-ayvf-muf9 |
|
|
|---|