CVE-2019-25438
Published: 20 February 2026
Summary
CVE-2019-25438 is a high-severity SQL Injection (CWE-89) vulnerability in Agilebio Labcollector. 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 37.6th 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-2019-25438 is a SQL injection vulnerability (CWE-89) affecting LabCollector version 5.423. The issue arises in multiple components where unauthenticated attackers can inject malicious SQL code through POST parameters, specifically the login parameter in login.php and the user_name parameter in retrieve_password.php, enabling execution of arbitrary SQL commands.
Unauthenticated remote attackers can exploit this vulnerability over the network with low complexity and no privileges required, as indicated by the CVSS v3.1 base score of 7.5 (AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N). Successful exploitation allows extraction of sensitive database information, with high confidentiality impact but no integrity or availability disruption.
Advisories referenced include a Vulncheck entry on the SQL injection via login.php, an Exploit-DB proof-of-concept exploit (47460), and the vendor site at labcollector.com.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2019-19608
Vulnerability details
LabCollector 5.423 contains multiple SQL injection vulnerabilities that allow unauthenticated attackers to execute arbitrary SQL commands by injecting malicious code through POST parameters. Attackers can submit crafted SQL payloads in the login parameter of login.php or the user_name parameter of…
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retrieve_password.php to extract sensitive database information without authentication.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
Direct unauthenticated SQL injection in public-facing web app (login.php/retrieve_password.php) enabling remote data exfiltration from DB.
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Affected Assets
Mitigating Controls
Mitigating Controls (NIST 800-53 r5) AI
SI-10 directly prevents SQL injection by requiring validation of untrusted POST inputs like login and user_name parameters before database queries.
SI-2 mandates identification and timely remediation of the specific SQL injection flaw in LabCollector 5.423 to eliminate the vulnerability.
SC-7 boundary protection at external interfaces can deploy web application firewalls to filter and block SQL injection payloads in unauthenticated POST requests.