CVE-2025-25147: Cross-Site Request Forgery (CSRF) in Phillip.Gooch Auto SEO
Cross-Site Request Forgery (CSRF) vulnerability in Phillip.Gooch Auto SEO auto-seo allows Stored XSS.This issue affects Auto SEO: from n/a through <= 2.5.6.
AI Analysis
Technical Summary
CVE-2025-25147 identifies a Cross-Site Request Forgery (CSRF) vulnerability in the Phillip.Gooch Auto SEO plugin, affecting all versions up to and including 2.5.6. The vulnerability allows attackers to trick authenticated users into executing unwanted actions without their consent. This CSRF flaw is particularly dangerous because it facilitates Stored Cross-Site Scripting (XSS) attacks, where malicious scripts injected by the attacker are permanently stored on the target system and executed in the context of other users' browsers. The combination of CSRF and stored XSS increases the attack surface, enabling attackers to hijack user sessions, steal sensitive information, or perform unauthorized administrative actions. The vulnerability does not require prior knowledge of the victim's credentials but does require the victim to be authenticated to the vulnerable application. No CVSS score has been assigned yet, and no patches or known exploits have been reported at the time of publication. The vulnerability was reserved and published in early February 2025, indicating recent discovery. The affected product, Auto SEO, is a plugin used to automate search engine optimization tasks, commonly integrated into web platforms, making it a valuable target for attackers seeking to compromise web infrastructure or user data.
Potential Impact
The impact of CVE-2025-25147 is significant for organizations using the Phillip.Gooch Auto SEO plugin. Successful exploitation can lead to persistent XSS attacks, allowing attackers to execute arbitrary JavaScript in users' browsers, potentially stealing session cookies, credentials, or other sensitive data. This can result in unauthorized access, data breaches, and reputational damage. The CSRF component means attackers can induce authenticated users to perform unintended actions, such as changing settings or injecting malicious content, without their knowledge. This undermines the integrity and confidentiality of the affected systems. Since Auto SEO is used to manage SEO tasks, attackers might also manipulate SEO content to redirect traffic or distribute malware. The absence of known exploits currently provides a window for proactive defense, but the widespread use of SEO plugins in web environments means the scope of affected systems is broad. Organizations relying on this plugin for their web presence or marketing automation face risks to availability if attackers disrupt SEO configurations or inject malicious scripts that degrade user trust and site functionality.
Mitigation Recommendations
To mitigate CVE-2025-25147, organizations should first assess whether they are using the Phillip.Gooch Auto SEO plugin and identify the version in use. If running version 2.5.6 or earlier, consider disabling or uninstalling the plugin until a security patch is released. Implement Web Application Firewall (WAF) rules that specifically detect and block CSRF attempts and suspicious POST requests targeting the plugin's endpoints. Enforce strict Content Security Policy (CSP) headers to limit the execution of unauthorized scripts and reduce the impact of stored XSS. Review and strengthen anti-CSRF tokens in the application if customization is possible. Monitor web server and application logs for unusual activity indicative of CSRF or XSS exploitation attempts. Educate users and administrators about the risks of clicking on untrusted links while authenticated. Stay informed about vendor updates and apply patches promptly once available. Additionally, conduct regular security audits and penetration testing focused on web application vulnerabilities to detect similar issues proactively.
Affected Countries
United States, United Kingdom, Germany, Canada, Australia, India, France, Netherlands, Brazil, Japan
CVE-2025-25147: Cross-Site Request Forgery (CSRF) in Phillip.Gooch Auto SEO
Description
Cross-Site Request Forgery (CSRF) vulnerability in Phillip.Gooch Auto SEO auto-seo allows Stored XSS.This issue affects Auto SEO: from n/a through <= 2.5.6.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2025-25147 identifies a Cross-Site Request Forgery (CSRF) vulnerability in the Phillip.Gooch Auto SEO plugin, affecting all versions up to and including 2.5.6. The vulnerability allows attackers to trick authenticated users into executing unwanted actions without their consent. This CSRF flaw is particularly dangerous because it facilitates Stored Cross-Site Scripting (XSS) attacks, where malicious scripts injected by the attacker are permanently stored on the target system and executed in the context of other users' browsers. The combination of CSRF and stored XSS increases the attack surface, enabling attackers to hijack user sessions, steal sensitive information, or perform unauthorized administrative actions. The vulnerability does not require prior knowledge of the victim's credentials but does require the victim to be authenticated to the vulnerable application. No CVSS score has been assigned yet, and no patches or known exploits have been reported at the time of publication. The vulnerability was reserved and published in early February 2025, indicating recent discovery. The affected product, Auto SEO, is a plugin used to automate search engine optimization tasks, commonly integrated into web platforms, making it a valuable target for attackers seeking to compromise web infrastructure or user data.
Potential Impact
The impact of CVE-2025-25147 is significant for organizations using the Phillip.Gooch Auto SEO plugin. Successful exploitation can lead to persistent XSS attacks, allowing attackers to execute arbitrary JavaScript in users' browsers, potentially stealing session cookies, credentials, or other sensitive data. This can result in unauthorized access, data breaches, and reputational damage. The CSRF component means attackers can induce authenticated users to perform unintended actions, such as changing settings or injecting malicious content, without their knowledge. This undermines the integrity and confidentiality of the affected systems. Since Auto SEO is used to manage SEO tasks, attackers might also manipulate SEO content to redirect traffic or distribute malware. The absence of known exploits currently provides a window for proactive defense, but the widespread use of SEO plugins in web environments means the scope of affected systems is broad. Organizations relying on this plugin for their web presence or marketing automation face risks to availability if attackers disrupt SEO configurations or inject malicious scripts that degrade user trust and site functionality.
Mitigation Recommendations
To mitigate CVE-2025-25147, organizations should first assess whether they are using the Phillip.Gooch Auto SEO plugin and identify the version in use. If running version 2.5.6 or earlier, consider disabling or uninstalling the plugin until a security patch is released. Implement Web Application Firewall (WAF) rules that specifically detect and block CSRF attempts and suspicious POST requests targeting the plugin's endpoints. Enforce strict Content Security Policy (CSP) headers to limit the execution of unauthorized scripts and reduce the impact of stored XSS. Review and strengthen anti-CSRF tokens in the application if customization is possible. Monitor web server and application logs for unusual activity indicative of CSRF or XSS exploitation attempts. Educate users and administrators about the risks of clicking on untrusted links while authenticated. Stay informed about vendor updates and apply patches promptly once available. Additionally, conduct regular security audits and penetration testing focused on web application vulnerabilities to detect similar issues proactively.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- Patchstack
- Date Reserved
- 2025-02-03T13:35:08.294Z
- Cvss Version
- null
- State
- PUBLISHED
Threat ID: 69cd7291e6bfc5ba1deeada1
Added to database: 4/1/2026, 7:31:29 PM
Last enriched: 4/1/2026, 10:01:56 PM
Last updated: 4/4/2026, 8:24:25 AM
Views: 2
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