Summary
A SQL injection vulnerability in SourceCodester Performance Indicator System 1.0 affects the remotely reachable adddealer.php endpoint through the Contact argument. If the application incorporates that input into database queries without adequate separation or validation, an attacker may read, alter, or otherwise manipulate backend data.
A SQL injection vulnerability in SourceCodester Performance Indicator System 1.0 affects the remotely reachable adddealer.php endpoint through the Contact argument. If the application incorporates that input into database queries without adequate separation or validation, an attacker may read, alter, or otherwise manipulate backend data.
Affected context
The issue occurs in deployments of SourceCodester Performance Indicator System 1.0 where the /opils/staff/adddealer.php endpoint is accessible remotely and the Contact parameter reaches database query construction without effective protections. Exploitability may depend on network exposure, authentication controls, and the privileges assigned to the database account used by the application.
The issue occurs in deployments of SourceCodester Performance Indicator System 1.0 where the /opils/staff/adddealer.php endpoint is accessible remotely and the Contact parameter reaches database query construction without effective protections. Exploitability may depend on network exposure, authentication controls, and the privileges assigned to the database account used by the application.
Exploit preconditions
- Attack surface: The remotely accessible
/opils/staff/adddealer.phpendpoint - Required access: Network access to the endpoint; authentication requirements depend on deployment configuration
- Trigger point: Processing of the
Contactrequest argument - Why exploitation is possible: User-controlled input may be interpreted as part of a database statement rather than treated solely as data
- Attack surface: The remotely accessible
/opils/staff/adddealer.phpendpoint - Required access: Network access to the endpoint; authentication requirements depend on deployment configuration
- Trigger point: Processing of the
Contactrequest argument - Why exploitation is possible: User-controlled input may be interpreted as part of a database statement rather than treated solely as data
Why this happens
The underlying bug is an insufficient separation between untrusted request data and SQL query structure. This behavior maps primarily to CWE-89: Improper Neutralization of Special Elements used in an SQL Command (SQL Injection) and is also related to CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component. The insecure pattern occurs when application-controlled query construction allows input from the Contact parameter to influence database command semantics.
The underlying bug is an insufficient separation between untrusted request data and SQL query structure. This behavior maps primarily to CWE-89: Improper Neutralization of Special Elements used in an SQL Command (SQL Injection) and is also related to CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component. The insecure pattern occurs when application-controlled query construction allows input from the Contact parameter to influence database command semantics.
Potential impact
- An attacker may access unauthorized database records
- Sensitive application or user information could be disclosed
- Database records may be modified or deleted
- Application authentication or authorization data could be affected
- The application may experience data integrity or availability issues
- An attacker may access unauthorized database records
- Sensitive application or user information could be disclosed
- Database records may be modified or deleted
- Application authentication or authorization data could be affected
- The application may experience data integrity or availability issues
General mitigation guidance
Mitigation generally focuses on ensuring that request data cannot alter database command structure.
Common defensive patterns include:
- Use parameterized queries or prepared statements for all database operations
- Apply allowlist-based validation appropriate to the expected contact-data format
- Avoid dynamic SQL construction from request parameters
- Use a database account limited to the application's required operations
- Enforce authentication and authorization checks consistently at administrative endpoints
- Return generic database errors without exposing query details
- Apply secure-by-default input handling across comparable endpoints
Mitigation generally focuses on ensuring that request data cannot alter database command structure.
Common defensive patterns include:
- Use parameterized queries or prepared statements for all database operations
- Apply allowlist-based validation appropriate to the expected contact-data format
- Avoid dynamic SQL construction from request parameters
- Use a database account limited to the application's required operations
- Enforce authentication and authorization checks consistently at administrative endpoints
- Return generic database errors without exposing query details
- Apply secure-by-default input handling across comparable endpoints
How teams detect issues like this
Organizations can look for SQL injection risks through:
- Static analysis rules identifying string concatenation or interpolation in SQL construction
- Code review checks for request parameters passed directly into database APIs
- Dynamic application testing using non-destructive validation techniques
- Database monitoring for unusual query patterns, errors, or access volumes
- Policy enforcement requiring prepared statements and restricted database privileges
Automated code review and application security testing tools may help identify similar flaws across related endpoints.
Organizations can look for SQL injection risks through:
- Static analysis rules identifying string concatenation or interpolation in SQL construction
- Code review checks for request parameters passed directly into database APIs
- Dynamic application testing using non-destructive validation techniques
- Database monitoring for unusual query patterns, errors, or access volumes
- Policy enforcement requiring prepared statements and restricted database privileges
Automated code review and application security testing tools may help identify similar flaws across related endpoints.
Sources
| Source | Link |
|---|---|
| github. | github.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| sourcecodester. | sourcecodester.com/ |
