CVE-2025-53311 is a high-severity vulnerability classified as a Cross-Site Request Forgery (CSRF) issue in the Navayan Subscribe product developed by Amol Nirmala Waman. The vulnerability allows an attacker to perform unauthorized actions on behalf of an authenticated user without their consent. Specifically, this CSRF vulnerability leads to Stored Cross-Site Scripting (XSS), meaning that malicious scripts injected via forged requests are persistently stored on the server and subsequently executed in the context of users who access the affected content. The vulnerability affects all versions of Navayan Subscribe up to 1.13, with no specific version exclusions noted. The CVSS 3.1 base score is 7.1, indicating a high severity level. The vector string (AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:L) reveals that the attack can be launched remotely over the network with low attack complexity, requires no privileges, but does require user interaction (such as clicking a crafted link). The scope is changed, meaning the vulnerability affects resources beyond the initially vulnerable component. The impact affects confidentiality, integrity, and availability to a low to moderate degree. The vulnerability arises from improper validation of requests, allowing attackers to trick users into submitting malicious requests that store XSS payloads. These payloads can then execute in the browsers of other users, potentially leading to session hijacking, credential theft, or further exploitation. No patches or known exploits in the wild are currently reported, but the presence of stored XSS combined with CSRF significantly raises the risk profile. The vulnerability is tracked under CWE-352 (CSRF).

For European organizations using Navayan Subscribe, this vulnerability poses a significant risk to web application security. The stored XSS resulting from CSRF can lead to unauthorized actions performed with the privileges of legitimate users, potentially compromising user accounts and sensitive data. Confidentiality may be breached through session token theft or data exfiltration. Integrity can be undermined by unauthorized changes to subscription data or user settings. Availability impact, while rated low to moderate, could arise from malicious scripts causing service disruptions or denial of service conditions. Organizations handling personal data under GDPR must be particularly cautious, as exploitation could lead to data breaches with regulatory and reputational consequences. The requirement for user interaction means phishing or social engineering campaigns could be used to trigger the exploit. Given the web-based nature of the product, any organization with a public-facing subscription service using Navayan Subscribe is at risk. The absence of known exploits in the wild suggests a window of opportunity for proactive mitigation before widespread attacks occur.

1. Immediate implementation of CSRF protection mechanisms such as synchronizer tokens (CSRF tokens) or double-submit cookies in Navayan Subscribe to validate the authenticity of requests. 2. Sanitize and encode all user inputs and stored data to prevent stored XSS payloads from executing in browsers. 3. Employ Content Security Policy (CSP) headers to restrict the execution of unauthorized scripts. 4. Conduct thorough code reviews and security testing focused on input validation and request authentication. 5. Educate users to be cautious about clicking unsolicited links or performing actions from untrusted sources. 6. Monitor web application logs for unusual activity indicative of CSRF or XSS exploitation attempts. 7. If possible, isolate the subscription service behind additional authentication layers or web application firewalls (WAFs) configured to detect and block CSRF and XSS attack patterns. 8. Coordinate with the vendor for timely patches or updates addressing this vulnerability and apply them as soon as available. 9. Implement multi-factor authentication (MFA) to reduce the impact of compromised user sessions. 10. Regularly update and patch all related web infrastructure components to minimize attack surface.