Summary
CloudClassroom-PHP-Project contains a SQL injection weakness in the Faculty Authentication flow, where the fid and pass parameters may influence database queries without sufficient protection. A remote attacker could exploit the issue to read or modify database records, depending on database permissions and application behavior.
Affected context
The weakness occurs in the Faculty Authentication component, specifically around loginlinkfaculty.php, when remotely supplied fid or pass values are incorporated into database operations without adequate parameterization or validation. Exposure depends on the affected login endpoint being reachable and the application database account having meaningful privileges.
Exploit preconditions
- Attack surface: Remotely accessible Faculty Authentication endpoint
- Required access: No prior authenticated access may be necessary if the login endpoint is publicly reachable
- Trigger point: Processing of the
fidorpassrequest arguments byloginlinkfaculty.php - Why exploitation is possible: User-controlled input may reach SQL query construction without reliable separation from query syntax
Why this happens
The underlying bug is an improper separation between untrusted request data and SQL statements. If authentication parameters are concatenated into queries or otherwise handled without parameterized database operations, input can alter the intended query logic. This maps primarily to CWE-89, SQL Injection, and is also related to CWE-74, Improper Neutralization of Special Elements in Output Used by a Downstream Component.
Potential impact
- An attacker may bypass authentication checks
- Sensitive database records could be disclosed
- Database records could be modified or deleted
- Application integrity and account data could be compromised
- The database service or connected systems could be affected, depending on privileges
General mitigation guidance
Mitigation generally centers on removing SQL construction from untrusted
input and reducing the authority of the application database account.
Common defensive patterns include:
- Use parameterized queries, prepared statements, or safe query-builder APIs
- Apply allowlist-based validation appropriate to each parameter's expected type and format
- Avoid dynamic SQL assembled from request values
- Enforce secure-by-default authentication and error-handling behavior
- Grant the application database account only the minimum required privileges
- Keep database credentials and connection details outside user-controlled configuration
- Use layered authorization checks rather than relying solely on query filters
How teams detect issues like this
Organizations can identify similar weaknesses through:
- Static analysis rules for string concatenation or interpolation in SQL calls
- Code review checks for request parameters reaching database APIs
- Dynamic testing of authentication endpoints with invalid, unexpected, and boundary input
- Database activity monitoring for anomalous queries, authentication patterns, or enumeration behavior
- Policy enforcement requiring prepared statements or approved data-access libraries
- Automated security review tools that flag unsanitized input flows into database operations
