Summary
A high-severity SQL injection vulnerability in the Online-Appointment-Booking-System affects the get_town.php AJAX endpoint. Remote attackers may manipulate country, town, department, or related identifier parameters to influence database queries when the endpoint fails to safely handle input.
A high-severity SQL injection vulnerability in the Online-Appointment-Booking-System affects the get_town.php AJAX endpoint. Remote attackers may manipulate country, town, department, or related identifier parameters to influence database queries when the endpoint fails to safely handle input.
Affected context
The vulnerability occurs in the get_town.php AJAX endpoint of the Online-Appointment-Booking-System. It may exist when request parameters such as countryid, townid, cid, didval, or cidval are incorporated into database queries without reliable parameterization and validation. The endpoint is remotely reachable, and public disclosure may increase exposure to opportunistic exploitation.
The vulnerability occurs in the get_town.php AJAX endpoint of the Online-Appointment-Booking-System. It may exist when request parameters such as countryid, townid, cid, didval, or cidval are incorporated into database queries without reliable parameterization and validation. The endpoint is remotely reachable, and public disclosure may increase exposure to opportunistic exploitation.
Exploit preconditions
- Attack surface: Remotely accessible AJAX endpoint
- Required access: Access sufficient to send requests to
get_town.php; authentication requirements depend on deployment configuration - Trigger point: Processing of user-controlled identifier parameters
- Why exploitation is possible: Input may reach SQL query construction without effective parameterization, allowing query structure to be altered
- Attack surface: Remotely accessible AJAX endpoint
- Required access: Access sufficient to send requests to
get_town.php; authentication requirements depend on deployment configuration - Trigger point: Processing of user-controlled identifier parameters
- Why exploitation is possible: Input may reach SQL query construction without effective parameterization, allowing query structure to be altered
Why this happens
The underlying bug is improper separation of data from SQL commands. When request parameters are concatenated into database queries or handled through unsafe query-building logic, attacker-controlled input can modify the intended database operation.
This maps primarily to CWE-89: Improper Neutralization of Special Elements used in an SQL Command (SQL Injection). CWE-74 is also relevant as a broader classification for improper neutralization of special elements in output used by a downstream interpreter.
The underlying bug is improper separation of data from SQL commands. When request parameters are concatenated into database queries or handled through unsafe query-building logic, attacker-controlled input can modify the intended database operation.
This maps primarily to CWE-89: Improper Neutralization of Special Elements used in an SQL Command (SQL Injection). CWE-74 is also relevant as a broader classification for improper neutralization of special elements in output used by a downstream interpreter.
Potential impact
- An attacker may read unauthorized database records
- Database contents could be modified or deleted
- Authentication or application data may be exposed
- The application could experience errors or denial of service
- In some database configurations, compromise could extend to connected services
- An attacker may read unauthorized database records
- Database contents could be modified or deleted
- Authentication or application data may be exposed
- The application could experience errors or denial of service
- In some database configurations, compromise could extend to connected services
General mitigation guidance
Mitigation generally focuses on ensuring that database operations treat request values strictly as data.
Common defensive patterns include:
- Use parameterized queries or prepared statements for every database operation
- Apply allowlist validation and type enforcement to identifier parameters
- Avoid constructing SQL statements through string concatenation
- Use database accounts with only the permissions required by the endpoint
- Keep error responses generic while recording diagnostic details securely
- Reduce trust in client-supplied identifiers by deriving relationships server-side where practical
- Apply web application firewall or gateway rules as a supplemental control, not a replacement for safe query handling
Mitigation generally focuses on ensuring that database operations treat request values strictly as data.
Common defensive patterns include:
- Use parameterized queries or prepared statements for every database operation
- Apply allowlist validation and type enforcement to identifier parameters
- Avoid constructing SQL statements through string concatenation
- Use database accounts with only the permissions required by the endpoint
- Keep error responses generic while recording diagnostic details securely
- Reduce trust in client-supplied identifiers by deriving relationships server-side where practical
- Apply web application firewall or gateway rules as a supplemental control, not a replacement for safe query handling
How teams detect issues like this
Detection can include:
- Static analysis rules for string concatenation or interpolation within SQL execution calls
- Code review checks for request parameters reaching database APIs without parameter binding
- Dynamic testing with benign malformed input and database error monitoring
- Web application logs reviewed for repeated parameter manipulation, abnormal query errors, or unexpected response patterns
- Policy enforcement requiring prepared statements and approved database-access abstractions
- Automated security review tools that identify tainted data flows from HTTP parameters to SQL sinks
Detection can include:
- Static analysis rules for string concatenation or interpolation within SQL execution calls
- Code review checks for request parameters reaching database APIs without parameter binding
- Dynamic testing with benign malformed input and database error monitoring
- Web application logs reviewed for repeated parameter manipulation, abnormal query errors, or unexpected response patterns
- Policy enforcement requiring prepared statements and approved database-access abstractions
- Automated security review tools that identify tainted data flows from HTTP parameters to SQL sinks
Sources
| Source | Link |
|---|---|
| github. | github.com/ |
| github. | github.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
