CVE-2018-25170
Published: 06 March 2026
Summary
CVE-2018-25170 is a high-severity CSRF (CWE-352) vulnerability. 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 3.2th 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-2018-25170 is an SQL injection vulnerability in DoceboLMS 1.2, affecting the lesson.php endpoint. The flaw allows attackers to inject SQL code through the id, idC, and idU parameters in GET requests, enabling manipulation of database queries. It has a CVSS v3.1 base score of 8.2 (AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:N) and is associated with CWE-352.
Unauthenticated remote attackers can exploit this vulnerability by sending crafted GET requests to lesson.php with malicious SQL payloads in the specified parameters. Successful exploitation allows extraction of sensitive database information, with high confidentiality impact and low integrity impact, but no availability disruption.
Advisories and references, including an Exploit-DB entry (https://www.exploit-db.com/exploits/45858) and a Vulncheck advisory (https://www.vulncheck.com/advisories/docebolms-sql-injection-via-lessonphp), document the vulnerability and provide details such as proof-of-concept exploits. The CVE was published on 2026-03-06T13:15:58.247.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2018-21625
Vulnerability details
DoceboLMS 1.2 contains an SQL injection vulnerability that allows unauthenticated attackers to manipulate database queries by injecting SQL code through the id, idC, and idU parameters. Attackers can send GET requests to the lesson.php endpoint with malicious SQL payloads to…
more
extract sensitive database information.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
SQL injection in public-facing web application (lesson.php) directly enables remote exploitation for initial access and database data extraction.
CVEs Like This One
Affected Assets
Mitigating Controls
Mitigating Controls (NIST 800-53 r5) AI
Directly prevents SQL injection by validating and sanitizing user inputs in the id, idC, and idU parameters before executing database queries in lesson.php.
Addresses the root cause by identifying, prioritizing, and remediating the specific SQL injection flaw in DoceboLMS 1.2 lesson.php endpoint.
Restricts the id, idC, and idU GET parameters to expected types and formats such as integers, blocking malicious SQL payloads.