Loggedin Plugin up to 1.3.1 on WordPress cross site scripting
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.7 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in Loggedin Plugin up to 1.3.1 on WordPress and classified as problematic. Affected by this issue is some unknown functionality. The manipulation leads to cross site scripting. This vulnerability is traded as CVE-2024-9228. It is possible to initiate the attack remotely. There is no exploit available.
Details
A vulnerability, which was classified as problematic, has been found in Loggedin Plugin up to 1.3.1 on WordPress. This issue affects an unknown part. 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:
The Loggedin – Limit Active Logins plugin for WordPress is vulnerable to Reflected Cross-Site Scripting due to the use of add_query_arg without appropriate escaping on the URL in all versions up to, and including, 1.3.1. This makes it possible for unauthenticated attackers to inject arbitrary web scripts in pages that execute if they can successfully trick a user into performing an action such as clicking on a link. This is only exploitable when the leave a review notice is present.
It is possible to read the advisory at wordfence.com. The identification of this vulnerability is CVE-2024-9228 since 09/26/2024. 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
Type
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 4.8VulDB Meta Temp Score: 4.7
VulDB Base Score: 3.5
VulDB Temp Score: 3.4
VulDB Vector: 🔍
VulDB Reliability: 🔍
CNA Base Score: 6.1
CNA Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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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
09/26/2024 🔍10/01/2024 🔍
10/01/2024 🔍
03/09/2025 🔍
Sources
Advisory: wordfence.comStatus: Not defined
CVE: CVE-2024-9228 (🔍)
GCVE (CVE): GCVE-0-2024-9228
GCVE (VulDB): GCVE-100-278939
Entry
Created: 10/01/2024 07:43Updated: 03/09/2025 01:40
Changes: 10/01/2024 07:43 (51), 10/02/2024 03:52 (13), 03/09/2025 01:40 (3)
Complete: 🔍
Cache ID: 216:3EF:103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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