Login Configurator Plugin up to 2.1 on WordPress URL Parameter cross site scripting
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.6 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Login Configurator Plugin up to 2.1 on WordPress. It has been classified as problematic. Affected by this vulnerability is an unknown functionality of the component URL Parameter Handler. Performing a manipulation of the argument URL results in cross site scripting. This vulnerability is reported as CVE-2023-1893. The attack is possible to be carried out remotely. Moreover, an exploit is present.
Details
A vulnerability was found in Login Configurator Plugin up to 2.1 on WordPress (WordPress Plugin). It has been classified as problematic. This affects an unknown code block of the component URL Parameter Handler. The manipulation of the argument URL 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:
The Login Configurator WordPress plugin through 2.1 does not properly escape a URL parameter before outputting it to the page, leading to a reflected cross-site scripting vulnerability targeting site administrators.
The weakness was disclosed 07/17/2023. It is possible to read the advisory at wpscan.com. This vulnerability is uniquely identified as CVE-2023-1893 since 04/05/2023. It demands that the victim is doing some kind of user interaction. Technical details and a public exploit are known. The attack technique deployed by this issue is T1059.007 according to MITRE ATT&CK.
The exploit is shared for download at packetstormsecurity.com. It is declared as proof-of-concept.
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: 4.8VulDB Meta Temp Score: 4.6
VulDB Base Score: 3.5
VulDB Temp Score: 3.2
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 6.1
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: 🔍
Access: Public
Status: Proof-of-Concept
Download: 🔍
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
04/05/2023 🔍07/17/2023 🔍
07/17/2023 🔍
04/25/2025 🔍
Sources
Advisory: 173723Status: Not defined
CVE: CVE-2023-1893 (🔍)
GCVE (CVE): GCVE-0-2023-1893
GCVE (VulDB): GCVE-100-234267
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 07/17/2023 17:07Updated: 04/25/2025 05:19
Changes: 07/17/2023 17:07 (40), 08/06/2023 14:16 (1), 08/06/2023 14:18 (11), 07/03/2024 03:04 (22), 04/25/2025 05:19 (4)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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