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 identifies a reflected Cross-Site Scripting (XSS) vulnerability in the WP to LinkedIn Auto Publish plugin for WordPress, versions up to and including 1.9.8. The vulnerability stems from improper neutralization of input during web page generation, specifically in the handling of PostMessage data. Because the plugin fails to adequately sanitize and escape user-supplied input, an unauthenticated attacker can craft malicious URLs that, when clicked by a victim, cause arbitrary JavaScript to execute in the victim's browser context. This reflected XSS does not require prior authentication but does require user interaction (clicking a link). The vulnerability affects confidentiality and integrity by potentially exposing sensitive session information or enabling actions on behalf of the user. The CVSS 3.1 vector (AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N) reflects network attack vector, low attack complexity, no privileges required, user interaction required, scope changed, and low impact on confidentiality and integrity, with no impact on availability. No known public exploits exist yet, but the vulnerability is publicly disclosed and should be addressed promptly. The plugin is commonly used to automate LinkedIn post publishing from WordPress sites, making it a target for attackers aiming to compromise social media presence or steal user credentials via session hijacking or phishing.
Potential Impact
For European organizations, this vulnerability poses a moderate risk primarily to the confidentiality and integrity of user sessions and data. Attackers could exploit the XSS flaw to steal authentication tokens, perform actions on behalf of users, or deliver further malware payloads through the victim's browser. Organizations relying on the WP to LinkedIn Auto Publish plugin for marketing or communications may face reputational damage if attackers manipulate their LinkedIn posts or user interactions. While availability is not directly impacted, the indirect consequences of compromised user trust and potential data leakage could be significant. The risk is heightened in sectors with strong LinkedIn usage for business networking and recruitment, such as professional services, technology, and media companies prevalent in Europe. Additionally, the reflected nature of the XSS means phishing campaigns could be used to target employees or customers, increasing the attack surface.
Mitigation Recommendations
1. Immediately monitor for plugin updates from the vendor and apply patches as soon as they become available. 2. In the absence of a patch, consider temporarily disabling the WP to LinkedIn Auto Publish plugin to eliminate exposure. 3. Deploy Web Application Firewalls (WAFs) with rules specifically targeting reflected XSS payloads and PostMessage abuse patterns. 4. Implement Content Security Policy (CSP) headers to restrict script execution origins and reduce the impact of injected scripts. 5. Educate users and employees about the risks of clicking unsolicited or suspicious links, especially those purporting to relate to LinkedIn or WordPress. 6. Conduct regular security audits of WordPress plugins and remove any that are unnecessary or unsupported. 7. Use security plugins that provide real-time scanning and blocking of XSS attempts within WordPress environments. 8. Monitor web server and application logs for unusual URL parameters or repeated suspicious requests indicative of exploitation attempts.
Affected Countries
United Kingdom, Germany, France, Netherlands, Sweden, Italy, Spain
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
Technical Analysis
CVE-2025-12077 identifies a reflected Cross-Site Scripting (XSS) vulnerability in the WP to LinkedIn Auto Publish plugin for WordPress, versions up to and including 1.9.8. The vulnerability stems from improper neutralization of input during web page generation, specifically in the handling of PostMessage data. Because the plugin fails to adequately sanitize and escape user-supplied input, an unauthenticated attacker can craft malicious URLs that, when clicked by a victim, cause arbitrary JavaScript to execute in the victim's browser context. This reflected XSS does not require prior authentication but does require user interaction (clicking a link). The vulnerability affects confidentiality and integrity by potentially exposing sensitive session information or enabling actions on behalf of the user. The CVSS 3.1 vector (AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N) reflects network attack vector, low attack complexity, no privileges required, user interaction required, scope changed, and low impact on confidentiality and integrity, with no impact on availability. No known public exploits exist yet, but the vulnerability is publicly disclosed and should be addressed promptly. The plugin is commonly used to automate LinkedIn post publishing from WordPress sites, making it a target for attackers aiming to compromise social media presence or steal user credentials via session hijacking or phishing.
Potential Impact
For European organizations, this vulnerability poses a moderate risk primarily to the confidentiality and integrity of user sessions and data. Attackers could exploit the XSS flaw to steal authentication tokens, perform actions on behalf of users, or deliver further malware payloads through the victim's browser. Organizations relying on the WP to LinkedIn Auto Publish plugin for marketing or communications may face reputational damage if attackers manipulate their LinkedIn posts or user interactions. While availability is not directly impacted, the indirect consequences of compromised user trust and potential data leakage could be significant. The risk is heightened in sectors with strong LinkedIn usage for business networking and recruitment, such as professional services, technology, and media companies prevalent in Europe. Additionally, the reflected nature of the XSS means phishing campaigns could be used to target employees or customers, increasing the attack surface.
Mitigation Recommendations
1. Immediately monitor for plugin updates from the vendor and apply patches as soon as they become available. 2. In the absence of a patch, consider temporarily disabling the WP to LinkedIn Auto Publish plugin to eliminate exposure. 3. Deploy Web Application Firewalls (WAFs) with rules specifically targeting reflected XSS payloads and PostMessage abuse patterns. 4. Implement Content Security Policy (CSP) headers to restrict script execution origins and reduce the impact of injected scripts. 5. Educate users and employees about the risks of clicking unsolicited or suspicious links, especially those purporting to relate to LinkedIn or WordPress. 6. Conduct regular security audits of WordPress plugins and remove any that are unnecessary or unsupported. 7. Use security plugins that provide real-time scanning and blocking of XSS attempts within WordPress environments. 8. Monitor web server and application logs for unusual URL parameters or repeated suspicious requests indicative of exploitation attempts.
Affected Countries
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: 12/20/2025, 6:15:00 AM
Last updated: 2/7/2026, 8:24:12 AM
Views: 65
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