CVE-2018-25201
School Management System CMS 1.0 contains an SQL injection vulnerability in the admin login functionality that allows attackers to bypass authentication by injecting S…
Published Mar 26, 2026 · updated Jun 17, 2026 · wecodex school management system cms
School Management System CMS 1.0 contains an SQL injection vulnerability in the admin login functionality that allows attackers to bypass authentication by injecting SQL code through the username parameter. Attackers can submit malicious payloads using boolean-based blind SQL injection techniques to the processlogin endpoint to authenticate as administrator without valid credentials.
Code
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No public source repository is identified for this product.
Timeline
Detection, updates, and resolution for this record.
Mar 26, 2026 · NIST NVD
Detected
School Management System CMS 1.0 contains an SQL injection vulnerability in the admin login functionality that allows attackers to bypass authentication by injecting SQL code through the username parameter. Attackers can submit malicious payloads using boolean-based blind SQL injection techniques to the processlogin endpoint to authenticate as administrator without valid credentials.
Jun 17, 2026 · NIST NVD
Updated
School Management System CMS 1.0 contains an SQL injection vulnerability in the admin login functionality that allows attackers to bypass authentication by injecting SQL code through the username parameter. Attackers can submit malicious payloads using boolean-based blind SQL injection techniques to the processlogin endpoint to authenticate as administrator without valid credentials.
Affected
- cpe wecodex/school management system cms1.0
Sources
- CVE.orgVulnerability recordCVE-2018-25201
Official CVE identifier
cve.org - NIST NVDVulnerability recordCVE-2018-25201
School Management System CMS 1.0 contains an SQL injection vulnerability in the admin login functionality that allows attackers to bypass authentication by injecting SQL code through the username parameter. Attackers can submit malicious payloads using boolean-based blind SQL inj
nvd.nist.gov