Summary
A SQL injection vulnerability in the save_user function of the User Account Management component allows remotely supplied account fields to influence database queries without sufficient neutralization.
An attacker who can reach the affected functionality may be able to read, modify, or otherwise interfere with application data, depending on database permissions and deployment configuration.
A SQL injection vulnerability in the save_user function of the User Account Management component allows remotely supplied account fields to influence database queries without sufficient neutralization.
An attacker who can reach the affected functionality may be able to read, modify, or otherwise interfere with application data, depending on database permissions and deployment configuration.
Affected context
The vulnerability occurs in the save_user function within admin_class.php in the User Account Management component of file-management-system-php. It may affect deployments where remotely submitted values for name, username, password, type, or id are incorporated into database operations without reliable parameterization or equivalent input handling.
The vulnerability occurs in the save_user function within admin_class.php in the User Account Management component of file-management-system-php. It may affect deployments where remotely submitted values for name, username, password, type, or id are incorporated into database operations without reliable parameterization or equivalent input handling.
Exploit preconditions
- Attack surface: The remotely accessible user-account management functionality
- Required access: Network access to the affected application endpoint; authentication requirements depend on deployment configuration
- Trigger point: Processing of user-supplied account fields by the
save_userfunction - Why exploitation is possible: Input values can reach SQL operations without adequate separation between data and query structure
- Attack surface: The remotely accessible user-account management functionality
- Required access: Network access to the affected application endpoint; authentication requirements depend on deployment configuration
- Trigger point: Processing of user-supplied account fields by the
save_userfunction - Why exploitation is possible: Input values can reach SQL operations without adequate separation between data and query structure
Why this happens
The underlying bug is improper neutralization of special elements in externally supplied input used by database queries. This is primarily CWE-89: SQL Injection, with CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component describing the broader injection pattern.
The insecure design treats account-management parameters as query fragments or otherwise fails to enforce a safe data-to-query boundary. When database statements are constructed from untrusted values instead of using parameterized operations, attacker-controlled input may alter the intended SQL behavior.
The underlying bug is improper neutralization of special elements in externally supplied input used by database queries. This is primarily CWE-89: SQL Injection, with CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component describing the broader injection pattern.
The insecure design treats account-management parameters as query fragments or otherwise fails to enforce a safe data-to-query boundary. When database statements are constructed from untrusted values instead of using parameterized operations, attacker-controlled input may alter the intended SQL behavior.
Potential impact
- An attacker may read sensitive records accessible to the application database account
- Database records may be modified, inserted, or deleted
- User-account data and permissions could be altered
- Application availability may be affected through destructive or resource-intensive queries
- Further compromise could occur if the database account has excessive privileges
- An attacker may read sensitive records accessible to the application database account
- Database records may be modified, inserted, or deleted
- User-account data and permissions could be altered
- Application availability may be affected through destructive or resource-intensive queries
- Further compromise could occur if the database account has excessive privileges
General mitigation guidance
Mitigation generally centers on preserving a strict separation between user data and SQL statement structure.
Common defensive patterns include:
- Use parameterized queries or prepared statements for every database operation
- Avoid dynamically concatenating request values into SQL statements
- Apply allowlist validation and appropriate type handling to identifiers, account types, and other structured fields
- Reduce input trust by validating values at the application boundary and enforcing server-side constraints
- Run the application with a database account limited to the operations it requires
- Centralize database access patterns so unsafe query construction is less likely to be introduced
- Apply layered authorization controls around account-management functions
Mitigation generally centers on preserving a strict separation between user data and SQL statement structure.
Common defensive patterns include:
- Use parameterized queries or prepared statements for every database operation
- Avoid dynamically concatenating request values into SQL statements
- Apply allowlist validation and appropriate type handling to identifiers, account types, and other structured fields
- Reduce input trust by validating values at the application boundary and enforcing server-side constraints
- Run the application with a database account limited to the operations it requires
- Centralize database access patterns so unsafe query construction is less likely to be introduced
- Apply layered authorization controls around account-management functions
How teams detect issues like this
Organizations can identify similar issues through:
- Static analysis rules for string concatenation or interpolation in SQL construction
- Code review checks for direct use of request parameters in database APIs
- Testing that verifies prepared statements are used for all user-controlled values
- Dynamic application testing with benign injection markers and database error monitoring
- Policy enforcement requiring approved database-access libraries and parameterized query interfaces
- Review of database permissions and audit logs for unexpected queries or account-data changes
Automated security review tools may help flag likely injection paths, but findings should be validated against actual data flow and query construction.
Organizations can identify similar issues through:
- Static analysis rules for string concatenation or interpolation in SQL construction
- Code review checks for direct use of request parameters in database APIs
- Testing that verifies prepared statements are used for all user-controlled values
- Dynamic application testing with benign injection markers and database error monitoring
- Policy enforcement requiring approved database-access libraries and parameterized query interfaces
- Review of database permissions and audit logs for unexpected queries or account-data changes
Automated security review tools may help flag likely injection paths, but findings should be validated against actual data flow and query construction.
Sources
| Source | Link |
|---|---|
| github. | github.com/ |
| github. | github.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
