Which versions of Jupyter Server are affected by EUVD-2026-27470?

CVE-2026-35397 affects Jupyter Server versions ≤2.17.0 and allows authenticated users to bypass directory access controls and access files outside their assigned workspace, potentially exposing other…. A patch is available.

How to fix or mitigate EUVD-2026-27470?

Within 24 hours: Inventory all Jupyter Server deployments ≤2.17.0 in production and identify those supporting multi-tenant access; apply access restrictions to limit authenticated user scope if possible. Within 7 days: Monitor for exploit attempts targeting sibling directory traversal patterns in access logs; implement rate-limiting on file access endpoints. Within 30 days: Upgrade to Jupyter Server >2.17.0 once patch availability is confirmed with vendor; validate path validation logic in post-upgrade testing before returning to production.

Jupyter Server EUVD-2026-27470

Q: What is the CVSS score of EUVD-2026-27470?

EUVD-2026-27470 has a CVSS 4.0 base score of 7.6 (High). CVSS vector: CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:H/VI:H/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X. EPSS exploitation probability: 0.0%.

| CVE-2026-35397 HIGH

Path Traversal (CWE-22)

2026-05-05 https://github.com/jupyter-server/jupyter_server

GHSA-5789-5fc7-67v3

Path Traversal

7.6

CVSS 4.0 · Vendor: https://github.com/jupyter-server/jupyter_server

Severity by source

Vendor (https://github.com/jupyter-server/jupyter_server) PRIMARY

7.6 HIGH

CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:H/VI:H/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

SUSE

8.8 HIGH

AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

Red Hat

7.1 HIGH

qualitative

Primary rating from Vendor (https://github.com/jupyter-server/jupyter_server).

CVSS VectorVendor: https://github.com/jupyter-server/jupyter_server

CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:H/VI:H/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

Attack Vector

Network

Attack Complexity

Low

Privileges Required

Low

User Interaction

None

Scope

Lifecycle Timeline

Patch available

May 05, 2026 - 21:02 EUVD

Re-analysis Queued

May 05, 2026 - 20:22 vuln.today

cvss_changed

CVSS changed

May 05, 2026 - 20:22 NVD

7.1 (HIGH) 7.6 (HIGH)

Source Code Evidence Fetched

May 05, 2026 - 17:30 vuln.today

Analysis Generated

May 05, 2026 - 17:30 vuln.today

DescriptionCVE.org

Summary

Jupyter Server <=2.17.0 can access directories sibling to the root directory, if it starts with the root dir's name.

PoC

Minimal:

.
├── test/              <- root directory.
│   └── test.txt
└── testtest/
    └── secret.txt     <- file to exfiltrate that we should not be able to access via API

bash

HOST="http://localhost:8888"
TOKEN=""
SIBLING="testtest"
TARGET="secret.txt"

curl -s -X POST \
  "$HOST/api/contents/%2e%2e/$SIBLING/$TARGET/checkpoints" \
  -H "Authorization: token $TOKEN"

Full PoC by @stef41: https://gist.github.com/Yann-P/66d4982a965dee8fcb8dd89db29e7006

Impact

It is possible for an authenticated user to access content outside the server's root_dir in siblings directories sharing the same prefix as the root_dir. The attacker can escalate access, reading, writing, and deleting from sibling directories.

This can have a tangible impact for deployments using predictable naming scheme with multi-tenant server, for example user1, user2, user3, ..., user10 etc, as user1 could access and modify files of all user10 - user19 and higher.

In a hypothetical system where users can choose a name of their folder, an attacker could choose a single-letter username to gain access to a significant number of sibling directories.

Workarounds

Use folder names that do not overlap.

Acknowledgments

Thank you to @stef41 for providing a useful PoC.

AnalysisAI

Authenticated users can access, modify, and delete files in sibling directories outside Jupyter Server's configured root_dir by exploiting a flawed string prefix check in path validation (CWE-22). Jupyter Server <=2.17.0 incorrectly uses startswith() validation, allowing attackers to traverse to directories like 'testtest/' when root is 'test/'. Publicly available exploit code exists. This primarily threatens multi-tenant deployments with predictable naming schemes (e.g., user1, user10-user19) where low-privileged users can escalate to access other users' workspaces. CVSS 7.1 reflects network-accessible attack requiring low privileges but high attack complexity; EPSS data not provided but real-world risk is significant for affected multi-tenant environments.

Technical ContextAI

Jupyter Server is a backend web service for Jupyter interactive computing environments, providing RESTful APIs for file management within a configured root_dir. The vulnerability stems from improper path traversal prevention (CWE-22) in the file access validation logic. The server uses Python's string startswith() method to verify paths are within root_dir boundaries, but fails to account for sibling directories sharing the same prefix. For example, if root_dir is '/notebooks/user1/', the check incorrectly permits access to '/notebooks/user10/' because 'user10' starts with 'user1'. The exploit uses URL-encoded parent directory traversal (%2e%2e for '..') via the /api/contents/ endpoint to bypass intended containment. This affects the pip package jupyter-server (pkg:pip/jupyter-server) version 2.17.0 and earlier.

RemediationAI

Upgrade to Jupyter Server version 2.18.0 or later using pip install --upgrade jupyter-server>=2.18.0, as confirmed by vendor advisory GHSA-5789-5fc7-67v3. For systems unable to immediately patch, implement directory naming schemes that eliminate prefix collisions: use UUIDs, random strings, or sufficiently distinct prefixes (e.g., 'workspace_user1' vs 'workspace_user10' instead of 'user1' vs 'user10'). Trade-off: renaming existing directories requires data migration and may break hardcoded paths in notebooks or automation. Additional compensating control: implement filesystem-level permissions ensuring each user's system account can only access their designated root_dir, providing defense-in-depth even if application-level path validation fails (trade-off: increased administrative overhead and potential interference with legitimate cross-user collaboration features). Advisory and patch details: https://github.com/jupyter-server/jupyter_server/security/advisories/GHSA-5789-5fc7-67v3