Summary
A high-severity SQL injection vulnerability affects the Admin Registration functionality of the food-waste-management-system. If user-controlled email, username, or location values reach database queries without sufficient parameterization, a remote attacker may alter query behavior or access, modify, or disrupt stored data.
A high-severity SQL injection vulnerability affects the Admin Registration functionality of the food-waste-management-system. If user-controlled email, username, or location values reach database queries without sufficient parameterization, a remote attacker may alter query behavior or access, modify, or disrupt stored data.
Affected context
The vulnerability occurs in the Admin Registration component, specifically within admin/signup.php, where remotely supplied registration fields may be incorporated into database operations. Risk depends on the application's database access controls, query construction patterns, and whether the affected endpoint is reachable by an attacker.
The vulnerability occurs in the Admin Registration component, specifically within admin/signup.php, where remotely supplied registration fields may be incorporated into database operations. Risk depends on the application's database access controls, query construction patterns, and whether the affected endpoint is reachable by an attacker.
Exploit preconditions
- Attack surface: Remotely accessible Admin Registration endpoint
- Required access: No special privileges may be required if the registration function is publicly reachable
- Trigger point: Processing of the email, username, or location registration arguments
- Why exploitation is possible: Input may influence SQL statements without adequate parameterization or contextual escaping
- Attack surface: Remotely accessible Admin Registration endpoint
- Required access: No special privileges may be required if the registration function is publicly reachable
- Trigger point: Processing of the email, username, or location registration arguments
- Why exploitation is possible: Input may influence SQL statements without adequate parameterization or contextual escaping
Why this happens
The underlying bug is an injection flaw in which externally controlled registration data is treated as part of a database command rather than strictly as data. This maps to CWE-89: Improper Neutralization of Special Elements used in an SQL Command (SQL Injection) and is broadly related to CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component. The insecure pattern is dynamically constructing SQL queries from untrusted input without consistently using parameterized statements and appropriate data-access boundaries.
The underlying bug is an injection flaw in which externally controlled registration data is treated as part of a database command rather than strictly as data. This maps to CWE-89: Improper Neutralization of Special Elements used in an SQL Command (SQL Injection) and is broadly related to CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component. The insecure pattern is dynamically constructing SQL queries from untrusted input without consistently using parameterized statements and appropriate data-access boundaries.
Potential impact
- An attacker may read unauthorized application or user records
- An attacker could alter, insert, or delete database data
- The vulnerability may enable authentication or authorization bypass depending on query context
- Database availability could be disrupted
- Sensitive information may be exposed or used for further attacks
- An attacker may read unauthorized application or user records
- An attacker could alter, insert, or delete database data
- The vulnerability may enable authentication or authorization bypass depending on query context
- Database availability could be disrupted
- Sensitive information may be exposed or used for further attacks
General mitigation guidance
Mitigation generally focuses on ensuring that all database operations treat external values as data rather than executable SQL.
Common defensive patterns include:
- Use parameterized queries or prepared statements for every affected database operation
- Avoid constructing SQL statements through string concatenation or interpolation
- Apply allowlist-based validation for fields with defined formats and lengths
- Use a database account with only the permissions required by the application
- Keep administrative registration functions protected by appropriate authentication and authorization controls
- Return generic database errors to users while recording useful security events internally
- Treat client-side validation as supplementary rather than a security boundary
Mitigation generally focuses on ensuring that all database operations treat external values as data rather than executable SQL.
Common defensive patterns include:
- Use parameterized queries or prepared statements for every affected database operation
- Avoid constructing SQL statements through string concatenation or interpolation
- Apply allowlist-based validation for fields with defined formats and lengths
- Use a database account with only the permissions required by the application
- Keep administrative registration functions protected by appropriate authentication and authorization controls
- Return generic database errors to users while recording useful security events internally
- Treat client-side validation as supplementary rather than a security boundary
How teams detect issues like this
Organizations commonly detect SQL injection risks through:
- Static analysis rules identifying SQL construction from request parameters
- Code review checks for string concatenation or interpolation in database queries
- Dynamic application testing focused on registration and other input-handling endpoints
- Database activity monitoring for anomalous query patterns or unexpected administrative actions
- Web application firewall and API gateway policies that detect suspicious input while not replacing secure query design
- Automated review tools that flag missing parameterization and unsafe data-access abstractions
Organizations commonly detect SQL injection risks through:
- Static analysis rules identifying SQL construction from request parameters
- Code review checks for string concatenation or interpolation in database queries
- Dynamic application testing focused on registration and other input-handling endpoints
- Database activity monitoring for anomalous query patterns or unexpected administrative actions
- Web application firewall and API gateway policies that detect suspicious input while not replacing secure query design
- Automated review tools that flag missing parameterization and unsafe data-access abstractions
Sources
| Source | Link |
|---|---|
| github. | github.com/ |
| github. | github.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
