CVE-2019-25678
Published: 05 April 2026
Summary
CVE-2019-25678 is a high-severity Missing Authentication for Critical Function (CWE-306) vulnerability in Gatech Computing For Good\'S Basic Laboratory Information System. Its CVSS base score is 8.8 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 18.8th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
The strongest mitigations our analysis identified are NIST 800-53 SI-10 (Information Input Validation) and SI-2 (Flaw Remediation).
Deeper analysis
CVE-2019-25678 is a set of multiple SQL injection vulnerabilities (CWE-89, CWE-306) in C4G Basic Laboratory Information System version 3.4. The flaws allow attackers to inject malicious SQL code through the "site" parameter in the users_select.php endpoint, enabling execution of arbitrary SQL commands.
Unauthenticated remote attackers can exploit this vulnerability over the network with low complexity and no user interaction required (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:N, base score 8.2). By sending crafted GET requests to the endpoint, they can extract sensitive database information, including patient records and system credentials.
Advisories and exploit details are available at https://www.exploit-db.com/exploits/46438 and https://www.vulncheck.com/advisories/c4g-blis-sql-injection-via-users-select-php. An exploit is publicly documented on Exploit-DB (ID 46438), indicating potential for real-world abuse targeting laboratory systems.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2019-20091
Vulnerability details
C4G Basic Laboratory Information System 3.4 contains multiple SQL injection vulnerabilities that allow unauthenticated attackers to execute arbitrary SQL commands by injecting malicious code through the site parameter. Attackers can send GET requests to the users_select.php endpoint with crafted SQL…
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payloads to extract sensitive database information including patient records and system credentials.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
Unauthenticated SQL injection in public-facing web app (users_select.php) directly enables remote arbitrary SQL execution and data exfiltration, mapping to T1190.
CVEs Like This One
Affected Assets
Mitigating Controls
Mitigating Controls (NIST 800-53 r5) AI
Directly prevents SQL injection by requiring validation of the 'site' parameter in users_select.php to block malicious SQL payloads.
Mandates timely remediation of the specific SQL injection flaw in C4G Basic Laboratory Information System 3.4 through patching or code correction.
Boundary protection mechanisms like web application firewalls monitor and filter incoming GET requests to block SQL injection attempts on the vulnerable endpoint.