AutoListicle Plugin up to 1.2.3 on WordPress cross site scripting
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.9 | $0-$5k | 0.00 |
Summary
A vulnerability was found in AutoListicle Plugin up to 1.2.3 on WordPress. It has been rated as problematic. This vulnerability affects unknown code. Performing a manipulation results in cross site scripting. This vulnerability is known as CVE-2024-11426. Remote exploitation of the attack is possible. No exploit is available.
Details
A vulnerability, which was classified as problematic, was found in AutoListicle Plugin up to 1.2.3 on WordPress. This affects an unknown function. The manipulation 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 AutoListicle: Automatically Update Numbered List Articles plugin for WordPress is vulnerable to Stored Cross-Site Scripting via the plugin's 'auto-list-number' shortcode in all versions up to, and including, 1.2.3 due to insufficient input sanitization and output escaping on user supplied attributes. This makes it possible for authenticated attackers, with contributor-level access and above, to inject arbitrary web scripts in pages that will execute whenever a user accesses an injected page.
It is possible to read the advisory at wordfence.com. This vulnerability is uniquely identified as CVE-2024-11426 since 11/19/2024. The exploitability is told to be easy. It is possible to initiate the attack 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: 4.9VulDB Meta Temp Score: 4.9
VulDB Base Score: 3.5
VulDB Temp Score: 3.4
VulDB Vector: 🔍
VulDB Reliability: 🔍
CNA Base Score: 6.4
CNA 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 |
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
11/19/2024 🔍11/22/2024 🔍
11/22/2024 🔍
02/23/2025 🔍
Sources
Advisory: wordfence.comStatus: Not defined
CVE: CVE-2024-11426 (🔍)
GCVE (CVE): GCVE-0-2024-11426
GCVE (VulDB): GCVE-100-285915
Entry
Created: 11/22/2024 17:54Updated: 02/23/2025 11:07
Changes: 11/22/2024 17:54 (51), 11/23/2024 11:47 (12), 02/23/2025 11:07 (3)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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