Summary
A SQL injection vulnerability in the food-waste-management-system registration page allows remotely supplied username, email, or location values to influence database queries.
An attacker who can reach the affected endpoint may be able to read, alter, or interfere with application data when input is processed without adequate query separation and validation.
A SQL injection vulnerability in the food-waste-management-system registration page allows remotely supplied username, email, or location values to influence database queries.
An attacker who can reach the affected endpoint may be able to read, alter, or interfere with application data when input is processed without adequate query separation and validation.
Affected context
The vulnerability occurs in the Registration Page component, specifically within the delivery signup functionality at delivery/deliverysignup.php. It becomes risky when remotely submitted registration fields are incorporated into database operations without consistently using parameterized queries or equivalent safeguards.
The vulnerability occurs in the Registration Page component, specifically within the delivery signup functionality at delivery/deliverysignup.php. It becomes risky when remotely submitted registration fields are incorporated into database operations without consistently using parameterized queries or equivalent safeguards.
Exploit preconditions
- Attack surface: Remote HTTP request to the delivery signup or registration endpoint
- Required access: Access to the publicly reachable registration functionality; authentication may not be required
- Trigger point: Processing of the
username,email, orlocationarguments - Why exploitation is possible: User-controlled values may reach SQL query construction without reliable separation between data and database commands
- Attack surface: Remote HTTP request to the delivery signup or registration endpoint
- Required access: Access to the publicly reachable registration functionality; authentication may not be required
- Trigger point: Processing of the
username,email, orlocationarguments - Why exploitation is possible: User-controlled values may reach SQL query construction without reliable separation between data and database commands
Why this happens
The underlying bug is an injection flaw in which externally controlled input is treated as part of a database statement rather than strictly as data. This behavior maps primarily to CWE-89: Improper Neutralization of Special Elements used in an SQL Command (SQL Injection) and is also related to the broader injection category CWE-74. The insecure pattern commonly arises when application code builds SQL statements through string concatenation or interpolation instead of using parameterized database interfaces.
The underlying bug is an injection flaw in which externally controlled input is treated as part of a database statement rather than strictly as data. This behavior maps primarily to CWE-89: Improper Neutralization of Special Elements used in an SQL Command (SQL Injection) and is also related to the broader injection category CWE-74. The insecure pattern commonly arises when application code builds SQL statements through string concatenation or interpolation instead of using parameterized database interfaces.
Potential impact
- An attacker may read sensitive records from the application database
- Database contents could be modified, deleted, or corrupted
- Authentication or authorization controls could be weakened if affected queries support them
- Application availability may be disrupted through malicious database operations
- Exposed records could contribute to privacy, fraud, or follow-on attacks
- An attacker may read sensitive records from the application database
- Database contents could be modified, deleted, or corrupted
- Authentication or authorization controls could be weakened if affected queries support them
- Application availability may be disrupted through malicious database operations
- Exposed records could contribute to privacy, fraud, or follow-on attacks
General mitigation guidance
Mitigation generally focuses on ensuring that all database operations treat request values as data rather than executable SQL.
Common defensive patterns include:
- Use parameterized queries, prepared statements, or safe query-builder interfaces
- Apply allowlist validation for fields with defined formats, such as email and location values
- Enforce appropriate length, encoding, and type constraints at the application boundary
- Avoid constructing SQL statements through string concatenation or interpolation
- Run database accounts with only the permissions required by the registration workflow
- Keep sensitive database operations isolated behind narrowly scoped service interfaces
- Use security-focused tests and review controls for all externally influenced query parameters
Mitigation generally focuses on ensuring that all database operations treat request values as data rather than executable SQL.
Common defensive patterns include:
- Use parameterized queries, prepared statements, or safe query-builder interfaces
- Apply allowlist validation for fields with defined formats, such as email and location values
- Enforce appropriate length, encoding, and type constraints at the application boundary
- Avoid constructing SQL statements through string concatenation or interpolation
- Run database accounts with only the permissions required by the registration workflow
- Keep sensitive database operations isolated behind narrowly scoped service interfaces
- Use security-focused tests and review controls for all externally influenced query parameters
How teams detect issues like this
Organizations commonly detect SQL injection risks through:
- Static analysis rules identifying string-built SQL statements and unparameterized query calls
- Code review checks for request parameters flowing into database APIs
- Dynamic testing of registration endpoints with database-error, response-difference, and input-boundary cases
- Web application firewall or API gateway policies that flag suspicious injection patterns
- Database monitoring for anomalous query structures, privilege use, and unexpected data access
- CI security checks that require parameterized-query patterns for supported database libraries
Organizations commonly detect SQL injection risks through:
- Static analysis rules identifying string-built SQL statements and unparameterized query calls
- Code review checks for request parameters flowing into database APIs
- Dynamic testing of registration endpoints with database-error, response-difference, and input-boundary cases
- Web application firewall or API gateway policies that flag suspicious injection patterns
- Database monitoring for anomalous query structures, privilege use, and unexpected data access
- CI security checks that require parameterized-query patterns for supported database libraries
Sources
| Source | Link |
|---|---|
| github. | github.com/ |
| github. | github.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
