Summary
A SQL injection vulnerability in the Registration Handler's signup.php file allows crafted input in the fname argument to influence database queries. Because the affected registration endpoint is remotely reachable, an attacker may be able to read, alter, or otherwise interact with backend data.
A SQL injection vulnerability in the Registration Handler's signup.php file allows crafted input in the fname argument to influence database queries. Because the affected registration endpoint is remotely reachable, an attacker may be able to read, alter, or otherwise interact with backend data.
Affected context
The issue occurs in deployments of girishsaraf Online-Appointment-Booking-System where the signup.php registration handler processes the fname parameter and incorporates it into database operations without sufficient separation between user input and query structure. Exposure is most relevant when the registration endpoint is reachable over a network and the application database account has meaningful privileges.
The issue occurs in deployments of girishsaraf Online-Appointment-Booking-System where the signup.php registration handler processes the fname parameter and incorporates it into database operations without sufficient separation between user input and query structure. Exposure is most relevant when the registration endpoint is reachable over a network and the application database account has meaningful privileges.
Exploit preconditions
- Attack surface: The remotely accessible registration handler in
signup.php - Required access: Ability to submit requests to the registration endpoint; prior authentication may not be required
- Trigger point: Processing of the
fnameargument during account registration - Why exploitation is possible: User-controlled input can influence SQL statement behavior when it is not safely parameterized or otherwise constrained
- Attack surface: The remotely accessible registration handler in
signup.php - Required access: Ability to submit requests to the registration endpoint; prior authentication may not be required
- Trigger point: Processing of the
fnameargument during account registration - Why exploitation is possible: User-controlled input can influence SQL statement behavior when it is not safely parameterized or otherwise constrained
Why this happens
The underlying bug is an input-to-query trust violation in which externally supplied data is treated as part of SQL command structure. This commonly results from string concatenation, inadequate parameter binding, or incomplete input validation in database access code. It maps directly to CWE-89, SQL Injection; CWE-74 is also relevant as a broader improper control of command or query elements.
The underlying bug is an input-to-query trust violation in which externally supplied data is treated as part of SQL command structure. This commonly results from string concatenation, inadequate parameter binding, or incomplete input validation in database access code. It maps directly to CWE-89, SQL Injection; CWE-74 is also relevant as a broader improper control of command or query elements.
Potential impact
- An attacker may retrieve sensitive records from the application database.
- An attacker could modify, insert, or delete database content, depending on query context and account privileges.
- The vulnerability may enable unauthorized account or appointment changes.
- Database availability may be affected through destructive or resource-intensive queries.
- Exposed data could support further attacks against users or connected systems.
- An attacker may retrieve sensitive records from the application database.
- An attacker could modify, insert, or delete database content, depending on query context and account privileges.
- The vulnerability may enable unauthorized account or appointment changes.
- Database availability may be affected through destructive or resource-intensive queries.
- Exposed data could support further attacks against users or connected systems.
General mitigation guidance
Mitigation generally focuses on ensuring that user input cannot alter query
structure and that database access is constrained.
Common defensive patterns include:
- Use parameterized queries or prepared statements for every database operation.
- Apply allowlist-based validation for fields such as names, while treating validation as a secondary control rather than a substitute for parameterization.
- Centralize database access through APIs or data-access layers that make unsafe query construction difficult.
- Run the application with a database account limited to the operations and tables it requires.
- Avoid exposing detailed database errors to users and use generic error handling at the application boundary.
- Preserve audit logging and monitor registration-related database activity.
Mitigation generally focuses on ensuring that user input cannot alter query
structure and that database access is constrained.
Common defensive patterns include:
- Use parameterized queries or prepared statements for every database operation.
- Apply allowlist-based validation for fields such as names, while treating validation as a secondary control rather than a substitute for parameterization.
- Centralize database access through APIs or data-access layers that make unsafe query construction difficult.
- Run the application with a database account limited to the operations and tables it requires.
- Avoid exposing detailed database errors to users and use generic error handling at the application boundary.
- Preserve audit logging and monitor registration-related database activity.
How teams detect issues like this
Organizations can identify similar issues through:
- Static analysis rules that flag SQL string concatenation involving request parameters.
- Code review checks for direct use of
$_GET,$_POST, or equivalent request values in database queries. - Testing that verifies all query parameters are bound through the database library's parameterized interface.
- Dynamic application testing using non-destructive injection indicators in authorized test environments.
- Web application firewall or API policy rules that monitor anomalous input and repeated database errors.
- Automated security review tools that identify tainted data flows from request handlers to SQL execution.
Organizations can identify similar issues through:
- Static analysis rules that flag SQL string concatenation involving request parameters.
- Code review checks for direct use of
$_GET,$_POST, or equivalent request values in database queries. - Testing that verifies all query parameters are bound through the database library's parameterized interface.
- Dynamic application testing using non-destructive injection indicators in authorized test environments.
- Web application firewall or API policy rules that monitor anomalous input and repeated database errors.
- Automated security review tools that identify tainted data flows from request handlers to SQL execution.
Sources
| Source | Link |
|---|---|
| github. | github.com/ |
| github. | github.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
