Summary
A SQL injection vulnerability in the Registration-Edit Handler of Events-Management-System may allow attacker-controlled input to alter database queries. Remote exploitation may be possible when the affected editing endpoint is reachable and does not safely parameterize submitted values.
A SQL injection vulnerability in the Registration-Edit Handler of Events-Management-System may allow attacker-controlled input to alter database queries. Remote exploitation may be possible when the affected editing endpoint is reachable and does not safely parameterize submitted values.
Affected context
The issue occurs in the doedit.php registration-edit workflow, where values such as id, name, title, year, gender, fromdate, todate, and people are passed to mysqli_query. Deployments may be at risk when this handler is remotely accessible and user-controlled values reach database queries without effective parameterization or validation.
The issue occurs in the doedit.php registration-edit workflow, where values such as id, name, title, year, gender, fromdate, todate, and people are passed to mysqli_query. Deployments may be at risk when this handler is remotely accessible and user-controlled values reach database queries without effective parameterization or validation.
Exploit preconditions
- Attack surface: The remotely reachable registration-edit handler in
doedit.php - Required access: Ability to submit requests to the affected endpoint; authentication requirements depend on deployment configuration
- Trigger point: Processing of registration-edit parameters by
mysqli_query - Why exploitation is possible: Input values may influence SQL query construction instead of being treated strictly as data
- Attack surface: The remotely reachable registration-edit handler in
doedit.php - Required access: Ability to submit requests to the affected endpoint; authentication requirements depend on deployment configuration
- Trigger point: Processing of registration-edit parameters by
mysqli_query - Why exploitation is possible: Input values may influence SQL query construction instead of being treated strictly as data
Why this happens
The underlying flaw is insufficient separation between application data and SQL command structure. When request parameters are concatenated into database queries or otherwise interpreted as query syntax, an attacker may be able to alter the intended operation. This maps primarily to CWE-89: Improper Neutralization of Special Elements used in an SQL Command (SQL Injection) and is also related to CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component.
The underlying flaw is insufficient separation between application data and SQL command structure. When request parameters are concatenated into database queries or otherwise interpreted as query syntax, an attacker may be able to alter the intended operation. This maps primarily to CWE-89: Improper Neutralization of Special Elements used in an SQL Command (SQL Injection) and is also related to CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component.
Potential impact
- An attacker may read or modify application data
- Database records could be altered or deleted
- Confidential information may be exposed
- Authentication or authorization data could be affected
- The database service or connected application may experience disruption
- An attacker may read or modify application data
- Database records could be altered or deleted
- Confidential information may be exposed
- Authentication or authorization data could be affected
- The database service or connected application may experience disruption
General mitigation guidance
Mitigation generally focuses on ensuring that database commands cannot be reshaped by request data.
Common defensive patterns include:
- Using parameterized queries or prepared statements for every database operation
- Applying context-appropriate allowlist validation to expected fields and data types
- Treating all request parameters as untrusted, including values associated with edit forms
- Limiting the database account to the minimum permissions required by the application
- Separating database error details from responses exposed to users
- Enforcing centralized input-handling and database-access policies across similar endpoints
Mitigation generally focuses on ensuring that database commands cannot be reshaped by request data.
Common defensive patterns include:
- Using parameterized queries or prepared statements for every database operation
- Applying context-appropriate allowlist validation to expected fields and data types
- Treating all request parameters as untrusted, including values associated with edit forms
- Limiting the database account to the minimum permissions required by the application
- Separating database error details from responses exposed to users
- Enforcing centralized input-handling and database-access policies across similar endpoints
How teams detect issues like this
Organizations can look for SQL injection risks through:
- Static analysis rules identifying string concatenation or interpolation in SQL calls
- Code review checks for direct use of request parameters in
mysqli_queryor equivalent APIs - Dynamic testing that uses non-destructive input variations and observes query errors or unexpected behavior
- Web-application firewall or gateway policies monitoring anomalous database-oriented request patterns
- Database audit logging for unexpected statements, access patterns, or modifications from the application account
- Automated review tools that flag unparameterized database queries during pull-request checks
Organizations can look for SQL injection risks through:
- Static analysis rules identifying string concatenation or interpolation in SQL calls
- Code review checks for direct use of request parameters in
mysqli_queryor equivalent APIs - Dynamic testing that uses non-destructive input variations and observes query errors or unexpected behavior
- Web-application firewall or gateway policies monitoring anomalous database-oriented request patterns
- Database audit logging for unexpected statements, access patterns, or modifications from the application account
- Automated review tools that flag unparameterized database queries during pull-request checks
Sources
| Source | Link |
|---|---|
| github. | github.com/ |
| github. | github.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
