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CVE-2026-16019 – SQL Injection – FAYDAM Datalogger 2.7.1 through versions before 2.8.0

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Summary

CVE-2026-16019 is a critical SQL injection vulnerability affecting FAYDAM Datalogger, a data logging and monitoring platform developed by Faydam Innovation Inc. The flaw arises from improper neutralization of special elements used in SQL commands, allowing unauthenticated, remote attackers to manipulate backend database queries. The vulnerability carries a CVSS v3.1 base score of 9.8 (Critical), reflecting its network-exploitability and the potential for full compromise of confidentiality, integrity, and availability.

Technical details

  • Root cause: The application fails to properly sanitize or parameterize user-supplied input before incorporating it into SQL statements, corresponding to CWE-89 (SQL Injection).
  • Trigger conditions: An attacker sends crafted input containing malicious SQL syntax to a vulnerable input point in the FAYDAM Datalogger application; no authentication or user interaction is required to trigger the flaw.
  • Attack vector: Network — the vulnerability can be exploited remotely over the network without local access.
  • Impact: Successful exploitation can allow unauthorized reading, modification, or deletion of database contents, potentially leading to full compromise of the affected system, exposure of sensitive monitoring/telemetry data, and disruption of dependent logging/monitoring operations.

Affected software

  • FAYDAM Datalogger, versions 2.7.1 up to (but not including) 2.8.0

Severity

  • CVSS v3.1 Base Score: 9.8 (Critical)
  • Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Mitigation and recommended actions

  • Immediate: Upgrade FAYDAM Datalogger to version 2.8.0 or later, where the SQL injection issue has been addressed.
  • If immediate patching is not possible:
    • Restrict network access to the FAYDAM Datalogger web interface to trusted internal networks or VPN only, removing direct internet exposure.
    • Deploy a web application firewall (WAF) with SQL injection detection rules in front of the application as a temporary compensating control.
    • Monitor application and database logs for anomalous query patterns or unexpected SQL error messages that may indicate injection attempts.
    • Apply the principle of least privilege to the database account used by the application to limit the blast radius of a successful injection.

References

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