appRain CMF 4.0.5 tablesorter data[Addon][layouts]/data[Addon][layouts_except] cross site scripting

CVSS Meta Temp Score
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CTI Interest Score
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3.5$0-$5k0.00

Summaryinfo

A vulnerability was found in appRain CMF 4.0.5. It has been classified as problematic. This vulnerability affects unknown code of the file /apprain/developer/addons/update/tablesorter. The manipulation of the argument data[Addon][layouts]/data[Addon][layouts_except] leads to cross site scripting. This vulnerability is listed as CVE-2025-41059. The attack may be initiated remotely. There is no available exploit.

Detailsinfo

A vulnerability was found in appRain CMF 4.0.5. It has been rated as problematic. This issue affects an unknown code block of the file /apprain/developer/addons/update/tablesorter. The manipulation of the argument data[Addon][layouts]/data[Addon][layouts_except] with an unknown input leads to a cross site scripting vulnerability. Using CWE to declare the problem leads to 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. Impacted is integrity. The summary by CVE is:

A vulnerability has been discovered in appRain CMF version 4.0.5, consisting of a stored authenticated XSS due to a lack of proper validation of user input, through the 'data[Addon][layouts]' and 'data[Addon][layouts_except]' parameters in /apprain/developer/addons/update/tablesorter.

The weakness was presented by Rafael Pedrero. It is possible to read the advisory at incibe.es. The identification of this vulnerability is CVE-2025-41059 since 04/16/2025. The exploitation is known to be easy. The attack may be initiated 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.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

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

Productinfo

Vendor

Name

Version

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: 3.5

VulDB Base Score: 3.5
VulDB Temp Score: 3.5
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

EPSS Score: 🔒
EPSS Percentile: 🔒

Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

04/16/2025 CVE reserved
09/04/2025 +141 days Advisory disclosed
09/04/2025 +0 days VulDB entry created
09/04/2025 +0 days VulDB entry last update

Sourcesinfo

Advisory: incibe.es
Researcher: Rafael Pedrero
Status: Not defined

CVE: CVE-2025-41059 (🔒)
GCVE (CVE): GCVE-0-2025-41059
GCVE (VulDB): GCVE-100-322523

Entryinfo

Created: 09/04/2025 16:06
Changes: 09/04/2025 16:06 (67)
Complete: 🔍
Cache ID: 216::103

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