CVE-2026-16019: FAYDAM Datalogger SQL Injection Flaw

CVE-2026-16019 Overview

CVE-2026-16019 is a SQL injection vulnerability in Faydam Innovation Inc. FAYDAM Datalogger. The flaw stems from improper neutralization of special elements used in SQL commands [CWE-89]. Affected versions range from 2.7.1 up to but not including 2.8.0. Remote attackers can exploit the vulnerability over the network without authentication or user interaction. Successful exploitation compromises confidentiality, integrity, and availability of the underlying database.

Critical Impact
Unauthenticated remote attackers can inject arbitrary SQL queries to read, modify, or destroy logged data and potentially achieve broader system compromise.

Affected Products

FAYDAM Datalogger 2.7.1
FAYDAM Datalogger versions after 2.7.1 and before 2.8.0
Faydam Innovation Inc. Datalogger deployments running vulnerable firmware

Discovery Timeline

2026-08-19 - CVE-2026-16019 published to NVD
2026-08-20 - Last updated in NVD database

Technical Details for CVE-2026-16019

Vulnerability Analysis

FAYDAM Datalogger fails to properly sanitize user-supplied input before incorporating it into SQL statements. Attackers can send crafted HTTP requests containing malicious SQL fragments that the application concatenates directly into database queries. The database engine then executes the attacker-controlled SQL alongside intended application logic.

Because the attack vector is network-based and requires no authentication, exploitation can occur from any host that reaches the Datalogger interface. The vulnerability affects all three security properties. Attackers can exfiltrate stored measurements and credentials, tamper with logged sensor data, or issue destructive statements that disrupt logging operations. Industrial and telemetry deployments that expose the Datalogger to broader networks face the highest exposure.

Root Cause

The root cause is failure to neutralize special SQL metacharacters in user input before query construction. The application likely builds SQL statements through string concatenation or interpolation rather than parameterized queries. Input validation and output encoding controls are either absent or insufficient across affected endpoints.

Attack Vector

Exploitation requires only network reachability to the vulnerable Datalogger instance. An attacker submits crafted parameters through a web request, API call, or other exposed input surface. The injected payload manipulates the resulting SQL statement to bypass authentication, extract data via UNION SELECT operations, or execute stacked queries where the database driver permits them. Time-based and error-based blind injection techniques apply where results are not directly reflected.

See the Siber Güvenlik Notification for the official advisory.

Detection Methods for CVE-2026-16019

Indicators of Compromise

HTTP requests containing SQL metacharacters such as single quotes, --, /*, UNION, or SLEEP( in parameters targeting Datalogger endpoints
Database error messages returned in HTTP responses referencing SQL syntax failures
Unexpected database read or write activity originating from the Datalogger service account
Outbound connections from the Datalogger host to unfamiliar external IP addresses following suspicious input

Detection Strategies

Deploy web application firewall signatures for common SQL injection patterns targeting Datalogger URIs
Enable database query logging and alert on anomalous query structures such as tautologies (OR 1=1) or stacked statements
Correlate authentication failures with subsequent successful sessions to identify injection-based auth bypass

Monitoring Recommendations

Ingest Datalogger web and database logs into a centralized SIEM for cross-source correlation
Baseline normal query patterns and alert on deviations in query length, structure, or execution time
Monitor for exfiltration indicators including large result sets and outbound data transfers from database hosts

How to Mitigate CVE-2026-16019

Immediate Actions Required

Upgrade FAYDAM Datalogger to version 2.8.0 or later where the vulnerability is remediated
Restrict network access to the Datalogger management interface using firewall rules and segmentation
Audit database logs and application logs for indicators of prior exploitation attempts
Rotate credentials stored within or accessible from the Datalogger database following patching

Patch Information

Faydam Innovation Inc. addresses the vulnerability in FAYDAM Datalogger 2.8.0. All deployments running 2.7.1 through versions prior to 2.8.0 must upgrade. Refer to the Siber Güvenlik Notification for vendor-coordinated details.

Workarounds

Place the Datalogger behind a web application firewall with SQL injection protection enabled until patching is complete
Limit network exposure by restricting access to trusted management VLANs and operator workstations
Apply least-privilege database permissions so the application account cannot execute administrative statements

bash

# Example firewall restriction limiting Datalogger access to trusted management subnet
iptables -A INPUT -p tcp --dport 80 -s 10.10.20.0/24 -j ACCEPT
iptables -A INPUT -p tcp --dport 80 -j DROP
iptables -A INPUT -p tcp --dport 443 -s 10.10.20.0/24 -j ACCEPT
iptables -A INPUT -p tcp --dport 443 -j DROP