CVE-2025-64293 is a SQL Injection vulnerability classified under CWE-89, found in Golemiq's 0 Day Analytics software versions up to 4.0.0. The vulnerability stems from improper neutralization of special characters in SQL commands, allowing attackers to inject malicious SQL code. The CVSS 3.1 score of 7.6 indicates a high-severity issue with network attack vector (AV:N), low attack complexity (AC:L), requiring high privileges (PR:H), no user interaction (UI:N), and a scope change (S:C). The impact primarily affects confidentiality (C:H) with limited availability impact (A:L) and no integrity impact (I:N). Attackers with high privileges can remotely exploit this flaw to execute unauthorized SQL queries, potentially extracting sensitive data from the backend database or causing partial denial of service. No public exploits or patches are currently available, increasing the urgency for organizations to implement compensating controls. The vulnerability affects a critical analytics platform, which is often integrated into business intelligence and decision-making workflows, amplifying the risk of data leakage or operational disruption if exploited.

For European organizations, exploitation of this vulnerability could lead to unauthorized disclosure of sensitive analytics data, including potentially personal or proprietary information, violating GDPR and other data protection regulations. The partial availability impact could disrupt analytics services, affecting business operations and decision-making processes. Organizations in sectors relying heavily on data analytics, such as finance, healthcare, and manufacturing, may face increased operational risk and reputational damage. The requirement for high privileges to exploit the vulnerability somewhat limits the attack surface but does not eliminate risk, especially if insider threats or compromised credentials are present. The absence of known exploits suggests a window of opportunity to remediate before widespread attacks occur, but also means organizations must proactively assess and secure their environments.

1. Immediately audit and restrict high-privilege user accounts to minimize potential exploitation vectors. 2. Implement strict input validation and parameterized queries or prepared statements in all database interactions within 0 Day Analytics to prevent SQL injection. 3. Monitor database logs and analytics platform activity for unusual queries or access patterns indicative of injection attempts. 4. Employ network segmentation and access controls to limit exposure of the analytics platform to only trusted internal networks and users. 5. Engage with Golemiq for updates or patches and apply them promptly once available. 6. Conduct penetration testing focused on SQL injection vectors within the analytics environment. 7. Review and enhance incident response plans to quickly address potential exploitation scenarios. 8. Consider deploying Web Application Firewalls (WAFs) with SQL injection detection rules tailored to the analytics platform's traffic patterns.