Summary
A high-severity SQL injection weakness affects the food-waste-management-system user registration endpoint in signup.php. Remote attackers may manipulate registration fields such as email, name, or gender when the application incorporates them unsafely into database queries.
A high-severity SQL injection weakness affects the food-waste-management-system user registration endpoint in signup.php. Remote attackers may manipulate registration fields such as email, name, or gender when the application incorporates them unsafely into database queries.
Affected context
The vulnerability occurs in deployments of the food-waste-management-system that expose the signup.php user registration endpoint and process submitted registration fields through database queries without sufficient separation between data and SQL syntax. Risk depends on the endpoint being reachable by an attacker and on the application or database account having meaningful data access.
The vulnerability occurs in deployments of the food-waste-management-system that expose the signup.php user registration endpoint and process submitted registration fields through database queries without sufficient separation between data and SQL syntax. Risk depends on the endpoint being reachable by an attacker and on the application or database account having meaningful data access.
Exploit preconditions
- Attack surface: Remote HTTP user registration endpoint
- Required access: Ability to submit requests to
signup.php; authentication is generally not required for public registration - Trigger point: Processing of the
email,name, orgenderparameters - Why exploitation is possible: User-controlled values may be incorporated into database statements without reliable parameter binding or equivalent query separation
- Attack surface: Remote HTTP user registration endpoint
- Required access: Ability to submit requests to
signup.php; authentication is generally not required for public registration - Trigger point: Processing of the
email,name, orgenderparameters - Why exploitation is possible: User-controlled values may be incorporated into database statements without reliable parameter binding or equivalent query separation
Why this happens
The underlying bug is a failure to treat registration fields strictly as data when constructing database queries. If input is concatenated, interpolated, or otherwise interpreted as part of SQL syntax, an attacker may influence query behavior. This maps primarily to CWE-89: Improper Neutralization of Special Elements used in an SQL Command (SQL Injection) and more broadly to CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component.
The underlying bug is a failure to treat registration fields strictly as data when constructing database queries. If input is concatenated, interpolated, or otherwise interpreted as part of SQL syntax, an attacker may influence query behavior. This maps primarily to CWE-89: Improper Neutralization of Special Elements used in an SQL Command (SQL Injection) and more broadly to CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component.
Potential impact
- An attacker may read sensitive database records
- An attacker could alter, insert, or delete database information
- Application authentication or authorization data may be exposed or modified
- The application may experience data integrity loss or service disruption
- Additional compromise could occur if the database account has excessive privileges
- An attacker may read sensitive database records
- An attacker could alter, insert, or delete database information
- Application authentication or authorization data may be exposed or modified
- The application may experience data integrity loss or service disruption
- Additional compromise could occur if the database account has excessive privileges
General mitigation guidance
Mitigation generally focuses on ensuring that user-controlled registration data cannot become executable SQL.
Common defensive patterns include:
- Using parameterized queries or prepared statements for every database operation
- Applying database access libraries that separate query structure from values by default
- Validating fields against appropriate type, length, and format constraints as a secondary control
- Assigning the application database account only the privileges required for registration workflows
- Avoiding detailed database errors in responses and using centralized error handling
- Preserving immutable audit records for unusual registration and database activity
These controls reduce injection risk without relying solely on filtering specific characters or SQL keywords.
Mitigation generally focuses on ensuring that user-controlled registration data cannot become executable SQL.
Common defensive patterns include:
- Using parameterized queries or prepared statements for every database operation
- Applying database access libraries that separate query structure from values by default
- Validating fields against appropriate type, length, and format constraints as a secondary control
- Assigning the application database account only the privileges required for registration workflows
- Avoiding detailed database errors in responses and using centralized error handling
- Preserving immutable audit records for unusual registration and database activity
These controls reduce injection risk without relying solely on filtering specific characters or SQL keywords.
How teams detect issues like this
Organizations can look for this class of weakness through:
- Static analysis rules identifying string concatenation or interpolation in SQL construction
- Code review checks for database calls that receive raw request parameters
- Tests that verify prepared-statement behavior across all registration fields
- Web application monitoring for anomalous registration requests, repeated database errors, and unexpected query activity
- Database activity monitoring and least-privilege policy enforcement for application accounts
Automated security review tools may help identify unsafe query-building patterns, but findings should be validated against the actual data-access flow.
Organizations can look for this class of weakness through:
- Static analysis rules identifying string concatenation or interpolation in SQL construction
- Code review checks for database calls that receive raw request parameters
- Tests that verify prepared-statement behavior across all registration fields
- Web application monitoring for anomalous registration requests, repeated database errors, and unexpected query activity
- Database activity monitoring and least-privilege policy enforcement for application accounts
Automated security review tools may help identify unsafe query-building patterns, but findings should be validated against the actual data-access flow.
Sources
| Source | Link |
|---|---|
| github. | github.com/ |
| github. | github.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
