Learning with Texts 2.0.3 URL Parameter cross site scripting
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.8 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Learning with Texts 2.0.3. It has been classified as problematic. Affected is an unknown function of the component URL Parameter Handler. The manipulation leads to cross site scripting. This vulnerability is listed as CVE-2024-41572. The attack may be initiated remotely. There is no available exploit.
Details
A vulnerability, which was classified as problematic, has been found in Learning with Texts 2.0.3. This issue affects an unknown code block of the component URL Parameter Handler. The manipulation 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:
Learning with Texts (LWT) 2.0.3 is vulnerable to Cross Site Scripting (XSS). The application has a specific function that does not filter special characters in URL parameters. Remote attackers can inject JavaScript code without authorization.
It is possible to read the advisory at drive.google.com. The identification of this vulnerability is CVE-2024-41572 since 07/18/2024. 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. The technical details are unknown and an exploit is not publicly available. 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
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 4.8VulDB Meta Temp Score: 4.8
VulDB Base Score: 3.5
VulDB Temp Score: 3.5
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 6.1
NVD Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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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: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
07/18/2024 🔍08/21/2024 🔍
08/21/2024 🔍
03/13/2025 🔍
Sources
Advisory: drive.google.comStatus: Not defined
Confirmation: 🔍
CVE: CVE-2024-41572 (🔍)
GCVE (CVE): GCVE-0-2024-41572
GCVE (VulDB): GCVE-100-275483
Entry
Created: 08/21/2024 23:44Updated: 03/13/2025 12:09
Changes: 08/21/2024 23:44 (53), 08/23/2024 06:00 (1), 09/07/2024 04:50 (11), 03/13/2025 12:09 (3)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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