CVE-2025-12077: CWE-79 Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') in f1logic WP to LinkedIn Auto Publish
The WP to LinkedIn Auto Publish plugin for WordPress is vulnerable to Reflected Cross-Site Scripting via PostMessage in all versions up to, and including, 1.9.8 due to insufficient input sanitization and output escaping. 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.
AI Analysis
Technical Summary
CVE-2025-12077 is a reflected cross-site scripting vulnerability in the WP to LinkedIn Auto Publish plugin for WordPress, affecting all versions up to and including 1.9.8. The issue arises from improper neutralization of input during web page generation, specifically via PostMessage, allowing unauthenticated attackers to inject malicious scripts. Successful exploitation requires user interaction, such as clicking a crafted link, and can lead to partial confidentiality and integrity impacts without affecting availability.
Potential Impact
An attacker can inject and execute arbitrary web scripts in the context of the affected plugin's pages, potentially leading to information disclosure or manipulation of user interactions. The vulnerability requires user interaction and does not grant direct system access or availability disruption. There are no known exploits in the wild as of the published date.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is available, users should exercise caution with links related to this plugin and consider disabling or removing the plugin if possible. Monitor the vendor's communications for updates on patches or mitigations.
CVE-2025-12077: CWE-79 Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') in f1logic WP to LinkedIn Auto Publish
Description
The WP to LinkedIn Auto Publish plugin for WordPress is vulnerable to Reflected Cross-Site Scripting via PostMessage in all versions up to, and including, 1.9.8 due to insufficient input sanitization and output escaping. 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.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2025-12077 is a reflected cross-site scripting vulnerability in the WP to LinkedIn Auto Publish plugin for WordPress, affecting all versions up to and including 1.9.8. The issue arises from improper neutralization of input during web page generation, specifically via PostMessage, allowing unauthenticated attackers to inject malicious scripts. Successful exploitation requires user interaction, such as clicking a crafted link, and can lead to partial confidentiality and integrity impacts without affecting availability.
Potential Impact
An attacker can inject and execute arbitrary web scripts in the context of the affected plugin's pages, potentially leading to information disclosure or manipulation of user interactions. The vulnerability requires user interaction and does not grant direct system access or availability disruption. There are no known exploits in the wild as of the published date.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is available, users should exercise caution with links related to this plugin and consider disabling or removing the plugin if possible. Monitor the vendor's communications for updates on patches or mitigations.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- Wordfence
- Date Reserved
- 2025-10-22T15:08:56.774Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 693cef62d977419e584a4fdd
Added to database: 12/13/2025, 4:45:22 AM
Last enriched: 4/9/2026, 9:14:43 AM
Last updated: 5/8/2026, 9:12:25 PM
Views: 122
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