jupyter-server jupyter_server up to 2.17.0 Jupyter Server API re.match regular expression without anchors
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.6 | $0-$5k | 0.00 |
Summary
A vulnerability marked as critical has been reported in jupyter-server jupyter_server up to 2.17.0. This affects the function re.match of the component Jupyter Server API. The manipulation leads to regular expression without anchors.
This vulnerability is listed as CVE-2026-40110. The attack may be initiated remotely. There is no available exploit.
It is suggested to upgrade the affected component.
Details
A vulnerability, which was classified as critical, has been found in jupyter-server jupyter_server up to 2.17.0. This issue affects the function re.match of the component Jupyter Server API. The manipulation with an unknown input leads to a regular expression without anchors vulnerability. Using CWE to declare the problem leads to CWE-777. The product uses a regular expression to perform neutralization, but the regular expression is not anchored and may allow malicious or malformed data to slip through. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
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.
The advisory is shared at github.com. The identification of this vulnerability is CVE-2026-40110 since 04/09/2026. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. It demands that the victim is doing some kind of user interaction. Technical details are known, but no exploit is available.
Upgrading to version 2.18.0 eliminates this vulnerability. Applying the patch 057869a327c46730afede3eab0ca2d2e3e74acea is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.
The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2026-27510). If you want to get the best quality for vulnerability data then you always have to consider VulDB.
Product
Vendor
Name
Version
License
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 6.8VulDB Meta Temp Score: 6.6
VulDB Base Score: 6.3
VulDB Temp Score: 6.0
VulDB Vector: 🔒
VulDB Reliability: 🔍
NVD Base Score: 7.3
NVD Vector: 🔒
CVSSv2
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Regular expression without anchorsCWE: CWE-777 / CWE-184 / CWE-183
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: jupyter_server 2.18.0
Patch: 057869a327c46730afede3eab0ca2d2e3e74acea
Timeline
04/09/2026 CVE reserved05/06/2026 Advisory disclosed
05/06/2026 VulDB entry created
07/02/2026 VulDB entry last update
Sources
Product: github.comAdvisory: GHSA-24qx-w28j-9m6p
Status: Confirmed
CVE: CVE-2026-40110 (🔒)
GCVE (CVE): GCVE-0-2026-40110
GCVE (VulDB): GCVE-100-361253
EUVD: 🔒
Entry
Created: 05/06/2026 06:52Updated: 07/02/2026 19:00
Changes: 05/06/2026 06:52 (70), 05/06/2026 07:03 (1), 07/02/2026 19:00 (11)
Complete: 🔍
Cache ID: 216::103
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
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