CVE-2024-38766 is a Cross-Site Request Forgery (CSRF) vulnerability identified in the Matomo Analytics platform, specifically affecting all versions up to and including 5.1.1. Matomo Analytics is an open-source web analytics platform widely used for tracking and reporting website traffic. The CSRF vulnerability allows an attacker to craft malicious web requests that, when executed by an authenticated user’s browser, perform unauthorized actions on the Matomo server. Because CSRF attacks exploit the trust a web application places in the user's browser, an attacker can induce state-changing requests without the user's explicit consent or knowledge. This vulnerability arises due to insufficient or absent anti-CSRF protections in the affected versions. Although no known public exploits are reported, the vulnerability poses a risk to the integrity and confidentiality of analytics data and configurations. Attackers could manipulate analytics settings, alter tracking data, or disrupt reporting accuracy. The vulnerability does not require the attacker to have direct access to the victim’s credentials but does require the victim to be authenticated and to visit a malicious site. The lack of a CVSS score necessitates an independent severity assessment based on the potential impact and exploitability. The vulnerability was reserved in June 2024 and published in January 2025, with no patches explicitly linked in the provided data, indicating that users should verify the availability of updates from Matomo or apply recommended mitigations promptly.

The impact of CVE-2024-38766 on organizations worldwide can be significant, particularly for those relying heavily on Matomo Analytics for critical business intelligence and decision-making. Successful exploitation could lead to unauthorized modification of analytics configurations, resulting in corrupted or misleading data. This compromises data integrity and can affect strategic decisions based on inaccurate analytics. Additionally, attackers might manipulate tracking data to conceal malicious activities or inflate traffic metrics, impacting marketing and security monitoring efforts. In environments where analytics data is sensitive or regulated, such as in healthcare, finance, or government sectors, confidentiality breaches could occur if attackers gain indirect access to sensitive information through manipulated reports. The availability of the analytics service might also be affected if attackers disrupt normal operations via unauthorized configuration changes. Since exploitation requires an authenticated session, organizations with many users having access to Matomo’s administrative or configuration interfaces are at higher risk. The absence of known exploits reduces immediate risk but does not eliminate the threat, especially as attackers may develop exploits following public disclosure. Overall, the threat undermines trust in analytics data and could have cascading effects on business operations and compliance.

To mitigate CVE-2024-38766, organizations should first verify if Matomo Analytics has released patches or updates addressing this CSRF vulnerability and apply them promptly. If patches are unavailable, implement strict anti-CSRF protections by ensuring that all state-changing requests require valid, unique anti-CSRF tokens that are verified server-side. Restrict administrative and configuration access to trusted networks or VPNs to reduce exposure. Employ multi-factor authentication (MFA) for all users with elevated privileges to limit the impact of compromised sessions. Regularly audit user accounts and permissions to enforce the principle of least privilege. Monitor web server and application logs for unusual or unauthorized requests that could indicate exploitation attempts. Educate users about the risks of visiting untrusted websites while authenticated to critical services. Consider implementing Content Security Policy (CSP) headers to reduce the risk of malicious cross-site requests. Finally, isolate Matomo Analytics instances from other critical infrastructure where feasible to contain potential breaches.