Attack Chain

1. Attacker performs reconnaissance to identify internet-facing FAYDAM Datalogger instances.
2. Attacker crafts an HTTP request containing malicious SQL payloads in unsanitized input fields.
3. The FAYDAM Datalogger web application receives the malformed input.
4. The application backend processes the request and concatenates the malicious input directly into an SQL query.
5. The database executes the injected commands, bypassing application-level access controls.
6. The attacker leverages the resulting SQL command execution to exfiltrate sensitive data, modify database entries, or delete records.
7. Final objective achieved, ranging from data exfiltration to complete system impact depending on the database service permissions.

Impact

Successful exploitation of CVE-2026-16019 permits unauthenticated remote attackers to achieve unauthorized access to the underlying database of the FAYDAM Datalogger. This can result in complete data breach, including theft of configuration, sensitive telemetry data, or credentials stored within the database. Furthermore, attackers may modify or delete critical data, leading to operational disruption or total loss of integrity for the monitoring systems using the FAYDAM platform.

Recommendation

• Upgrade all instances of FAYDAM Datalogger to version 2.8.0 or higher to remediate CVE-2026-16019.
• Audit web server logs for HTTP requests containing common SQL injection characters (such as single quotes, semicolons, comments, or union operators) targeting the application URI stems.
• Implement Web Application Firewall (WAF) rules to filter and block incoming requests with suspicious SQL syntax targeting FAYDAM Datalogger endpoints.