wger-project wger up to 2.4 attribution_link license_author cross site scripting

CVSS Meta Temp Score
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CTI Interest Score
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3.4$0-$5k2.82

Summaryinfo

A vulnerability marked as problematic has been reported in wger-project wger up to 2.4. This issue affects the function attribution_link. Performing a manipulation of the argument license_author results in cross site scripting. This vulnerability is identified as CVE-2026-40353. The attack can be initiated remotely. There is not any exploit available. It is suggested to upgrade the affected component.

Detailsinfo

A vulnerability, which was classified as problematic, was found in wger-project wger up to 2.4. This affects the function attribution_link. The manipulation of the argument license_author with an unknown input leads to a cross site scripting vulnerability. CWE is classifying the issue as CWE-79. The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users. This is going to have an impact on integrity. The summary by CVE is:

wger is a free, open-source workout and fitness manager. In versions 2.5 and below, the attribution_link property in AbstractLicenseModel constructs HTML by directly interpolating user-controlled license fields (such as license_author) without escaping, and templates render the result using Django's |safe filter. An authenticated user can create an ingredient with a malicious license_author value containing JavaScript, which executes in the browser of any visitor viewing the ingredient page, resulting in stored XSS. This issue has been fixed in version 2.5.

It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2026-40353 since 04/11/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. It demands that the victim is doing some kind of user interaction. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1059.007 according to MITRE ATT&CK.

Upgrading to version 2.5 eliminates this vulnerability.

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

Vendor

Name

Version

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒

CVSSv3info

VulDB Meta Base Score: 3.5
VulDB Meta Temp Score: 3.4

VulDB Base Score: 3.5
VulDB Temp Score: 3.4
VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Cross site scripting
CWE: CWE-79 / CWE-94 / CWE-74
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔒

Upgrade: wger 2.5

Timelineinfo

04/11/2026 CVE reserved
04/17/2026 +6 days Advisory disclosed
04/17/2026 +0 days VulDB entry created
04/17/2026 +0 days VulDB entry last update

Sourcesinfo

Product: github.com

Advisory: github.com
Status: Confirmed

CVE: CVE-2026-40353 (🔒)
GCVE (CVE): GCVE-0-2026-40353
GCVE (VulDB): GCVE-100-358131

Entryinfo

Created: 04/17/2026 23:51
Changes: 04/17/2026 23:51 (69)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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