CVE-2025-30633 is a critical SQL Injection vulnerability identified in the AA-Team Amazon Native Shopping Recommendations plugin, which is used to integrate Amazon product recommendations into websites. The vulnerability arises from improper neutralization of special characters in SQL commands, classified under CWE-89. This flaw allows unauthenticated remote attackers to inject malicious SQL code via crafted input parameters, potentially leading to unauthorized data disclosure. The vulnerability affects all versions up to 1.3, with no specific version range exclusions noted. The CVSS v3.1 base score of 9.3 reflects its critical severity, with an attack vector of network (AV:N), low attack complexity (AC:L), no privileges required (PR:N), no user interaction (UI:N), and a scope change (S:C). The impact primarily compromises confidentiality (C:H) with limited impact on availability (A:L) and no impact on integrity (I:N). Although no public exploits have been reported yet, the vulnerability's characteristics make it a prime target for attackers seeking to extract sensitive data from backend databases. The plugin is commonly used in e-commerce and content management systems to display Amazon shopping recommendations, making affected websites potential targets for data leakage or further exploitation. The vulnerability's exploitation could expose customer data, internal business information, or other sensitive content stored in the database. The lack of an available patch at the time of publication necessitates immediate risk mitigation through alternative controls. The vulnerability was reserved in March 2025 and published in January 2026, indicating a window for responsible disclosure and remediation planning.

For European organizations, especially those operating e-commerce platforms or content-rich websites integrating Amazon Native Shopping Recommendations, this vulnerability poses a significant risk of data breach. The ability for unauthenticated attackers to execute SQL commands can lead to unauthorized access to customer information, transaction records, and potentially sensitive business data. This could result in regulatory non-compliance under GDPR due to exposure of personal data, leading to legal penalties and reputational damage. The limited impact on data integrity reduces the risk of data manipulation but does not eliminate the threat of data exfiltration. The availability impact is low but could still cause minor service disruptions. Organizations relying on this plugin without timely updates or mitigations may face targeted attacks, especially given the critical CVSS score and ease of exploitation. The threat is heightened in sectors with high-value data such as retail, finance, and healthcare, which are prevalent in Europe. Additionally, the cross-site nature of the plugin's deployment across multiple websites increases the attack surface. The absence of known exploits in the wild currently provides a window for proactive defense, but the critical severity demands urgent attention.

1. Immediate monitoring and vulnerability scanning for the presence of AA-Team Amazon Native Shopping Recommendations plugin version 1.3 or earlier across all web assets. 2. Apply vendor patches promptly once released; if unavailable, consider disabling or removing the plugin temporarily to eliminate exposure. 3. Implement strict input validation and sanitization on all user-supplied data interacting with the plugin to prevent injection of malicious SQL code. 4. Deploy Web Application Firewalls (WAFs) with updated rulesets capable of detecting and blocking SQL Injection attempts targeting this specific plugin. 5. Conduct thorough code reviews and penetration testing focusing on SQL query construction within the plugin's integration points. 6. Restrict database user permissions associated with the plugin to the minimum necessary to limit potential damage from exploitation. 7. Monitor logs for unusual database query patterns or errors indicative of injection attempts. 8. Educate development and security teams about the vulnerability to ensure rapid response and remediation. 9. Consider network segmentation to isolate critical databases from web-facing components using the vulnerable plugin. 10. Maintain an incident response plan tailored to SQL Injection attacks to enable swift containment and recovery.