Lexicata Plugin up to 1.0.16 on WordPress cross site scripting
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.7 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as problematic, has been found in Lexicata Plugin up to 1.0.16 on WordPress. Affected by this issue is some unknown functionality. The manipulation leads to cross site scripting. This vulnerability is uniquely identified as CVE-2025-31900. The attack is possible to be carried out remotely. No exploit exists.
Details
A vulnerability was found in Lexicata Plugin up to 1.0.16 on WordPress. It has been rated as problematic. This issue affects an unknown functionality. 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:
Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') vulnerability in lexicata Lexicata allows Reflected XSS. This issue affects Lexicata: from n/a through 1.0.16.
The weakness was disclosed by Soprobro. It is possible to read the advisory at patchstack.com. The identification of this vulnerability is CVE-2025-31900 since 04/01/2025. 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. 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
Type
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.7VulDB Meta Temp Score: 5.7
VulDB Base Score: 4.3
VulDB Temp Score: 4.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
CNA Base Score: 7.1
CNA Vector (Patchstack): 🔍
CVSSv2
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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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 |
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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
04/01/2025 🔍04/03/2025 🔍
04/03/2025 🔍
04/03/2025 🔍
Sources
Advisory: patchstack.comResearcher: Soprobro
Status: Confirmed
CVE: CVE-2025-31900 (🔍)
GCVE (CVE): GCVE-0-2025-31900
GCVE (VulDB): GCVE-100-303227
Entry
Created: 04/03/2025 16:06Changes: 04/03/2025 16:06 (63)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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