CVE-2025-60142 is a medium-severity vulnerability classified under CWE-79, which pertains to improper neutralization of input during web page generation, commonly known as Cross-site Scripting (XSS). Specifically, this vulnerability affects the DaganLev Simple Meta Tags plugin, versions up to 1.5. The issue is a DOM-based XSS, meaning that the malicious script is executed as a result of modifying the Document Object Model (DOM) environment in the victim's browser, rather than being directly injected into the server-generated HTML. This type of XSS arises when client-side scripts write data provided by the user or attacker into the DOM without proper sanitization or encoding. The vulnerability allows an attacker with at least low privileges (PR:L) and requiring user interaction (UI:R) to execute arbitrary scripts in the context of the affected web application. The CVSS v3.1 score is 6.5, reflecting a medium severity level with network attack vector (AV:N), low attack complexity (AC:L), partial privileges required, and impact on confidentiality, integrity, and availability rated as low to medium. The vulnerability has a scope change (S:C), indicating that exploitation can affect components beyond the vulnerable component. No known exploits are currently reported in the wild, and no patches have been linked yet. The vulnerability was published on September 26, 2025, and is assigned by Patchstack. The affected product, Simple Meta Tags, is typically used in content management systems to manage meta tags dynamically, which are critical for SEO and page metadata. Improper input handling in this context can lead to injection of malicious scripts that execute in users’ browsers, potentially leading to session hijacking, defacement, or redirection to malicious sites.

For European organizations, the impact of this DOM-based XSS vulnerability can be significant, especially for those relying on the Simple Meta Tags plugin in their web infrastructure. Exploitation could lead to unauthorized access to user sessions, theft of sensitive information such as authentication tokens or personal data, and manipulation of website content. This can damage the organization's reputation, lead to regulatory non-compliance under GDPR due to data breaches, and cause operational disruptions. E-commerce platforms, government portals, and public-facing services using this plugin are particularly at risk. The requirement for low privileges and user interaction means attackers might leverage social engineering or phishing to trigger the exploit. The scope change indicates that the attack could compromise other components or services linked to the vulnerable plugin, amplifying the impact. Although no exploits are known in the wild yet, the medium severity and ease of exploitation suggest that attackers may develop exploits soon, increasing risk exposure.

To mitigate this vulnerability, European organizations should prioritize the following actions: 1) Immediate assessment of all web assets to identify usage of the DaganLev Simple Meta Tags plugin, especially versions up to 1.5. 2) Apply vendor patches or updates as soon as they become available; if no official patch exists yet, consider disabling or removing the plugin temporarily to eliminate the attack surface. 3) Implement rigorous input validation and output encoding on all user-controllable inputs that interact with meta tag generation, ensuring that any data inserted into the DOM is properly sanitized to prevent script injection. 4) Employ Content Security Policy (CSP) headers to restrict the execution of unauthorized scripts and reduce the impact of potential XSS attacks. 5) Conduct security awareness training for users to recognize and avoid phishing or social engineering attempts that could trigger the vulnerability. 6) Monitor web application logs and user activity for unusual behavior indicative of exploitation attempts. 7) Use web application firewalls (WAFs) with rules tuned to detect and block XSS payloads targeting meta tag manipulation. 8) Regularly audit and test web applications for DOM-based XSS vulnerabilities using automated tools and manual penetration testing.