Summary
A high-severity SQL injection vulnerability in HospitalManagementSystem allows attacker-controlled input in the transaction_idS argument to influence database queries.
Because the issue is remotely reachable, an unauthenticated or otherwise authorized attacker may be able to manipulate database operations when the affected controller function processes the request.
A high-severity SQL injection vulnerability in HospitalManagementSystem allows attacker-controlled input in the transaction_idS argument to influence database queries.
Because the issue is remotely reachable, an unauthenticated or otherwise authorized attacker may be able to manipulate database operations when the affected controller function processes the request.
Affected context
The vulnerability occurs in the PHP application controller at php/controller.php when the transaction_idS argument is incorporated into a database query without sufficient separation between data and SQL syntax. Risk depends on whether the affected endpoint is exposed remotely, how requests are authenticated, and what database permissions the application uses.
The vulnerability occurs in the PHP application controller at php/controller.php when the transaction_idS argument is incorporated into a database query without sufficient separation between data and SQL syntax. Risk depends on whether the affected endpoint is exposed remotely, how requests are authenticated, and what database permissions the application uses.
Exploit preconditions
- Attack surface: Remotely reachable web application endpoint
- Required access: Ability to submit requests to the affected controller; authentication requirements depend on deployment configuration
- Trigger point: Processing of the
transaction_idSargument inphp/controller.php - Why exploitation is possible: Attacker-controlled input may reach a database query without reliable parameterization or equivalent query isolation
- Attack surface: Remotely reachable web application endpoint
- Required access: Ability to submit requests to the affected controller; authentication requirements depend on deployment configuration
- Trigger point: Processing of the
transaction_idSargument inphp/controller.php - Why exploitation is possible: Attacker-controlled input may reach a database query without reliable parameterization or equivalent query isolation
Why this happens
The underlying issue is an injection-prone database query that treats request data as part of SQL syntax. This behavior maps directly 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 input is concatenated into SQL statements instead of being passed as typed, parameterized data.
The underlying issue is an injection-prone database query that treats request data as part of SQL syntax. This behavior maps directly 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 input is concatenated into SQL statements instead of being passed as typed, parameterized data.
Potential impact
- An attacker may read unauthorized database records
- An attacker could alter or delete application data
- The application may return database errors or sensitive query information
- Database credentials or other stored secrets could be exposed
- In some configurations, exploitation can affect connected services or broader application integrity
- An attacker may read unauthorized database records
- An attacker could alter or delete application data
- The application may return database errors or sensitive query information
- Database credentials or other stored secrets could be exposed
- In some configurations, exploitation can affect connected services or broader application integrity
General mitigation guidance
Mitigation generally focuses on ensuring that all database operations treat external input as data rather than executable SQL.
Common defensive patterns include:
- Use parameterized queries or prepared statements for every user-influenced value
- Apply allowlist validation and appropriate type constraints to transaction identifiers
- Avoid dynamic SQL construction where a fixed query structure is sufficient
- Return generic database errors without exposing query details
- Restrict application database accounts to the minimum required privileges
- Protect administrative and transaction endpoints with appropriate authentication and authorization
- Reduce trust in client-supplied identifiers by deriving values from server-side state where practical
Mitigation generally focuses on ensuring that all database operations treat external input as data rather than executable SQL.
Common defensive patterns include:
- Use parameterized queries or prepared statements for every user-influenced value
- Apply allowlist validation and appropriate type constraints to transaction identifiers
- Avoid dynamic SQL construction where a fixed query structure is sufficient
- Return generic database errors without exposing query details
- Restrict application database accounts to the minimum required privileges
- Protect administrative and transaction endpoints with appropriate authentication and authorization
- Reduce trust in client-supplied identifiers by deriving values from server-side state where practical
How teams detect issues like this
Organizations can identify similar issues through:
- Static analysis rules for SQL string concatenation and interpolation involving request parameters
- Code review checks focused on controller-to-database data flows
- Dynamic testing that uses safe, non-destructive injection probes against isolated environments
- Web application firewall or API policy rules monitoring anomalous database-oriented input
- Database audit logs that identify unexpected query structures, error spikes, or unusual access patterns
Automated security review tools can help flag unsafe query construction, but findings should be confirmed against the application's actual data flow.
Organizations can identify similar issues through:
- Static analysis rules for SQL string concatenation and interpolation involving request parameters
- Code review checks focused on controller-to-database data flows
- Dynamic testing that uses safe, non-destructive injection probes against isolated environments
- Web application firewall or API policy rules monitoring anomalous database-oriented input
- Database audit logs that identify unexpected query structures, error spikes, or unusual access patterns
Automated security review tools can help flag unsafe query construction, but findings should be confirmed against the application's actual data flow.
Sources
| Source | Link |
|---|---|
| github. | github.com/ |
| github. | github.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
