appRain CMF 4.0.5 manage data[AppReportCode][id]/data[AppReportCode][name] cross site scripting
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.4 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in appRain CMF 4.0.5 and classified as problematic. This impacts an unknown function of the file /apprain/appreport/manage/. This manipulation of the argument data[AppReportCode][id]/data[AppReportCode][name] causes cross site scripting. This vulnerability is tracked as CVE-2025-41043. The attack is possible to be carried out remotely. No exploit exists.
Details
A vulnerability classified as problematic was found in appRain CMF 4.0.5. Affected by this vulnerability is an unknown part of the file /apprain/appreport/manage/. The manipulation of the argument data[AppReportCode][id]/data[AppReportCode][name] with an unknown input leads to a cross site scripting vulnerability. The CWE definition for the vulnerability is 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. As an impact it is known to affect 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[AppReportCode][id]' and 'data[AppReportCode][name]' parameters in /apprain/appreport/manage/.
The weakness was disclosed by Rafael Pedrero. It is possible to read the advisory at incibe.es. This vulnerability is known as CVE-2025-41043 since 04/16/2025. The exploitation appears to be easy. The attack can be launched 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.
Product
Vendor
Name
Version
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: 4.4VulDB Meta Temp Score: 4.4
VulDB Base Score: 3.5
VulDB Temp Score: 3.5
VulDB Vector: 🔒
VulDB Reliability: 🔍
NVD Base Score: 5.4
NVD Vector: 🔒
CVSSv2
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Cross site scriptingCWE: 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 Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
04/16/2025 CVE reserved09/04/2025 Advisory disclosed
09/04/2025 VulDB entry created
09/05/2025 VulDB entry last update
Sources
Advisory: incibe.esResearcher: Rafael Pedrero
Status: Not defined
CVE: CVE-2025-41043 (🔒)
GCVE (CVE): GCVE-0-2025-41043
GCVE (VulDB): GCVE-100-322507
Entry
Created: 09/04/2025 15:59Updated: 09/05/2025 06:17
Changes: 09/04/2025 15:59 (67), 09/05/2025 06:17 (11)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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