Summary
A remotely exploitable SQL injection vulnerability affects the Admin CRUD endpoint in girishsaraf Online-Appointment-Booking-System. Manipulating the cid or did argument in Admin/deleteclinic.php may allow an attacker to alter database queries, potentially exposing or modifying application data.
A remotely exploitable SQL injection vulnerability affects the Admin CRUD endpoint in girishsaraf Online-Appointment-Booking-System. Manipulating the cid or did argument in Admin/deleteclinic.php may allow an attacker to alter database queries, potentially exposing or modifying application data.
Affected context
The vulnerability occurs in the administrative clinic deletion functionality when request parameters are incorporated into database queries without sufficient separation between SQL code and user-controlled values. Deployments that expose the Admin CRUD endpoint to remote clients, especially without strong authentication and authorization controls, may be at risk.
The vulnerability occurs in the administrative clinic deletion functionality when request parameters are incorporated into database queries without sufficient separation between SQL code and user-controlled values. Deployments that expose the Admin CRUD endpoint to remote clients, especially without strong authentication and authorization controls, may be at risk.
Exploit preconditions
- Attack surface: The remotely accessible Admin CRUD endpoint
- Required access: Ability to send requests to the affected administrative functionality; authentication requirements depend on deployment controls
- Trigger point: Processing of the
cidordidarguments byAdmin/deleteclinic.php - Why exploitation is possible: User-controlled parameter data may influence SQL query structure rather than being treated strictly as a value
- Attack surface: The remotely accessible Admin CRUD endpoint
- Required access: Ability to send requests to the affected administrative functionality; authentication requirements depend on deployment controls
- Trigger point: Processing of the
cidordidarguments byAdmin/deleteclinic.php - Why exploitation is possible: User-controlled parameter data may influence SQL query structure rather than being treated strictly as a value
Why this happens
The underlying issue is an insufficient separation between SQL statements and untrusted request parameters. If input is concatenated into database queries or otherwise reaches a query interpreter without parameter binding, crafted values can change the intended query logic. This maps primarily to CWE-89: Improper Neutralization of Special Elements used in an SQL Command (SQL Injection); CWE-74 broadly reflects the injection of control syntax into an interpreter.
The underlying issue is an insufficient separation between SQL statements and untrusted request parameters. If input is concatenated into database queries or otherwise reaches a query interpreter without parameter binding, crafted values can change the intended query logic. This maps primarily to CWE-89: Improper Neutralization of Special Elements used in an SQL Command (SQL Injection); CWE-74 broadly reflects the injection of control syntax into an interpreter.
Potential impact
- An attacker may read unauthorized database records
- Database contents could be modified or deleted
- Administrative or application data may be exposed
- The application could experience integrity loss or service disruption
- Database privileges could increase the impact across connected components
- An attacker may read unauthorized database records
- Database contents could be modified or deleted
- Administrative or application data may be exposed
- The application could experience integrity loss or service disruption
- Database privileges could increase the impact across connected components
General mitigation guidance
Mitigation generally focuses on ensuring that request data cannot become executable SQL syntax.
Common defensive patterns include:
- Use parameterized queries or prepared statements for all database operations
- Apply allowlist validation for identifier and selector values such as clinic or doctor IDs
- Avoid dynamically assembled SQL where a fixed query structure is sufficient
- Enforce authentication and least-privilege authorization for administrative endpoints
- Use database accounts with only the permissions required by the application
- Treat validation as an additional control rather than a substitute for query parameterization
Mitigation generally focuses on ensuring that request data cannot become executable SQL syntax.
Common defensive patterns include:
- Use parameterized queries or prepared statements for all database operations
- Apply allowlist validation for identifier and selector values such as clinic or doctor IDs
- Avoid dynamically assembled SQL where a fixed query structure is sufficient
- Enforce authentication and least-privilege authorization for administrative endpoints
- Use database accounts with only the permissions required by the application
- Treat validation as an additional control rather than a substitute for query parameterization
How teams detect issues like this
Organizations can identify similar weaknesses through:
- Static analysis for string concatenation or interpolation in SQL execution calls
- Code review of request handlers that pass parameters into database access layers
- Dynamic testing with benign input variations and database error monitoring
- Web application firewall or API policy rules covering unexpected query syntax in identifier fields
- Logging and alerting on anomalous requests to administrative CRUD endpoints
Automated security scanning and code review tools may help identify unsafely constructed queries, but findings should be confirmed against the application's data-access behavior.
Organizations can identify similar weaknesses through:
- Static analysis for string concatenation or interpolation in SQL execution calls
- Code review of request handlers that pass parameters into database access layers
- Dynamic testing with benign input variations and database error monitoring
- Web application firewall or API policy rules covering unexpected query syntax in identifier fields
- Logging and alerting on anomalous requests to administrative CRUD endpoints
Automated security scanning and code review tools may help identify unsafely constructed queries, but findings should be confirmed against the application's data-access behavior.
Sources
| Source | Link |
|---|---|
| github. | github.com/ |
| github. | github.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
