CVE-2026-16019 in Datalogger
Summary
by MITRE • 08/19/2026
Improper neutralization of special elements used in an SQL command ('SQL injection') vulnerability in Faydam Innovation Inc. FAYDAM Datalogger allows SQL Injection.
This issue affects FAYDAM Datalogger: from 2.7.1 before 2.8.0.
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Analysis
by VulDB Data Team • 08/19/2026
The identified security flaw represents a classic instance of improper neutralization of special elements used in an SQL command, commonly known as SQL injection. This vulnerability exists within the Faydam Innovation Inc. FAYDAM Datalogger software suite, specifically affecting versions ranging from 2.7.1 up to but not including version 2.8.0. The core technical deficiency lies in the application's failure to adequately sanitize or validate user-supplied input before incorporating it into dynamic SQL queries executed against its underlying database management system. When an attacker constructs a malicious payload containing special characters such as single quotes, semicolons, or comment sequences, they can manipulate the structure of the intended SQL statement. This manipulation allows the injected code to be interpreted and executed by the database engine rather than being treated strictly as data parameters.
From a technical perspective, this vulnerability typically arises when developers concatenate user input directly into query strings without employing parameterized queries or prepared statements. In the context of an industrial datalogger, such software often handles sensitive operational data including sensor readings, configuration settings, and historical logs stored in relational databases like SQLite, MySQL, or PostgreSQL. The lack of proper encoding ensures that any special SQL syntax embedded within input fields is processed as executable commands. This allows for a wide range of exploitation techniques depending on the database backend's capabilities and the specific entry points exposed by the application interface.
The operational impact of this vulnerability can be severe due to the nature of datalogger systems which are frequently deployed in critical infrastructure, industrial control environments, or remote monitoring stations. An attacker with network access to the affected device could exploit this flaw to perform unauthorized data retrieval, effectively bypassing authentication mechanisms if login credentials are stored insecurely or if session tokens are derived from database queries. Furthermore, skilled attackers can leverage SQL injection to modify existing records, insert malicious configuration parameters that alter sensor calibration or reporting intervals, or even delete critical historical logs to cover tracks of other intrusions. In worst-case scenarios involving databases with extended privileges, such as MySQL's file read/write capabilities or PostgreSQL's ability to execute system commands via specific extensions, the attacker could achieve remote code execution on the host operating system hosting the datalogger software.
This vulnerability aligns directly with Common Weakness Enumeration identifier CWE-89, which categorizes improper neutralization of special elements used in an SQL command. In terms of offensive security frameworks, this flaw facilitates techniques documented under MITRE ATT&CK ID T1059, specifically Command and Scripting Interpreter subcategories where database commands are abused to execute arbitrary instructions. It also relates to CWE-284 regarding improper access control if the injection leads to privilege escalation or unauthorized data exposure. The persistence of such vulnerabilities in industrial IoT devices highlights a broader industry challenge where security is often deprioritized during firmware development cycles, leaving critical infrastructure exposed to exploitation by both external threat actors and insider adversaries with local network access.
Mitigation strategies must focus on immediate remediation through software updates as well as defensive architectural changes for environments that cannot yet be patched. The primary resolution involves upgrading the FAYDAM Datalogger software to version 2.8.0 or later, where Faydam Innovation Inc has presumably addressed this input validation deficiency. For systems requiring extended support of older versions, administrators should implement strict input filtering at the application layer using allow-listing techniques that restrict acceptable characters in all user-facing fields. Additionally, deploying Web Application Firewalls with SQL injection detection rules can provide a temporary compensating control by blocking malicious payloads before they reach the database engine. Database-level hardening is also recommended, including enforcing the principle of least privilege for the service account used by the datalogger application to ensure that even if an injection succeeds, the attacker cannot perform destructive operations such as dropping tables or accessing sensitive system files. Regular security audits and penetration testing focused on input validation are essential to maintain resilience against evolving SQL injection techniques in industrial control systems.