Summary
A high-severity SQL injection vulnerability affects the student-saving functionality of the cak-filemanagement-system. Remote attackers may manipulate several request parameters to alter database queries when the application processes student records, particularly where input reaches mysqli_query without adequate parameterization.
A high-severity SQL injection vulnerability affects the student-saving functionality of the cak-filemanagement-system. Remote attackers may manipulate several request parameters to alter database queries when the application processes student records, particularly where input reaches mysqli_query without adequate parameterization.
Affected context
The vulnerability occurs in the admin/save_student.php functionality of cak-filemanagement-system versions represented by the affected revision range. It may be present when remotely supplied values such as date, department, subject, forwarded_to, action_taken_by, section, or password are incorporated into SQL statements without sufficient separation from query syntax.
The vulnerability occurs in the admin/save_student.php functionality of cak-filemanagement-system versions represented by the affected revision range. It may be present when remotely supplied values such as date, department, subject, forwarded_to, action_taken_by, section, or password are incorporated into SQL statements without sufficient separation from query syntax.
Exploit preconditions
- Attack surface: Remote web request to the student-saving functionality
- Required access: Network reachability to the affected endpoint; additional authentication requirements depend on deployment configuration
- Trigger point: Processing of attacker-controlled parameters by
admin/save_student.php - Why exploitation is possible: Input is apparently passed into database query construction without reliable parameter binding or equivalent context-aware handling
- Attack surface: Remote web request to the student-saving functionality
- Required access: Network reachability to the affected endpoint; additional authentication requirements depend on deployment configuration
- Trigger point: Processing of attacker-controlled parameters by
admin/save_student.php - Why exploitation is possible: Input is apparently passed into database query construction without reliable parameter binding or equivalent context-aware handling
Why this happens
The underlying bug is an injection flaw in which externally controlled values influence SQL command structure rather than remaining strictly data values. This maps primarily to CWE-89: Improper Neutralization of Special Elements used in an SQL Command (SQL Injection). CWE-74 is a broader injection category that also describes the failure to isolate untrusted input from an interpreted command language.
The underlying bug is an injection flaw in which externally controlled values influence SQL command structure rather than remaining strictly data values. This maps primarily to CWE-89: Improper Neutralization of Special Elements used in an SQL Command (SQL Injection). CWE-74 is a broader injection category that also describes the failure to isolate untrusted input from an interpreted command language.
Potential impact
- An attacker may read unauthorized database records
- Database contents could be modified, deleted, or corrupted
- Authentication or authorization data may be exposed or altered
- Application integrity and confidentiality could be compromised
- Further compromise may be possible if database privileges or server configuration are excessive
- An attacker may read unauthorized database records
- Database contents could be modified, deleted, or corrupted
- Authentication or authorization data may be exposed or altered
- Application integrity and confidentiality could be compromised
- Further compromise may be possible if database privileges or server configuration are excessive
General mitigation guidance
Mitigation generally focuses on ensuring that untrusted request data cannot modify SQL command structure.
Common defensive patterns include:
- Use parameterized queries or prepared statements for every database operation
- Apply allowlisted validation appropriate to each field's expected type and format
- Avoid constructing SQL statements through string concatenation
- Use database accounts with only the permissions required by the application
- Centralize database access patterns so secure query handling is the default
- Add consistent error handling that does not disclose query details or sensitive database information
- Treat client-side validation as supplemental rather than a trust boundary
Mitigation generally focuses on ensuring that untrusted request data cannot modify SQL command structure.
Common defensive patterns include:
- Use parameterized queries or prepared statements for every database operation
- Apply allowlisted validation appropriate to each field's expected type and format
- Avoid constructing SQL statements through string concatenation
- Use database accounts with only the permissions required by the application
- Centralize database access patterns so secure query handling is the default
- Add consistent error handling that does not disclose query details or sensitive database information
- Treat client-side validation as supplemental rather than a trust boundary
How teams detect issues like this
Detection approaches may include:
- Static analysis rules identifying SQL construction through string concatenation or interpolation
- Code review checks for direct use of request parameters in database query APIs
- Tests that verify prepared statements and parameter binding for all user-controlled fields
- Runtime monitoring for unusual query errors, unexpected database access patterns, or repeated malformed requests
- Web application firewall or API policy rules that provide a compensating control for suspicious input patterns
- Automated security review tools that flag injection-prone data flows for manual verification
Detection approaches may include:
- Static analysis rules identifying SQL construction through string concatenation or interpolation
- Code review checks for direct use of request parameters in database query APIs
- Tests that verify prepared statements and parameter binding for all user-controlled fields
- Runtime monitoring for unusual query errors, unexpected database access patterns, or repeated malformed requests
- Web application firewall or API policy rules that provide a compensating control for suspicious input patterns
- Automated security review tools that flag injection-prone data flows for manual verification
Sources
| Source | Link |
|---|---|
| github. | github.com/ |
| github. | github.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
