Summary
A remotely exploitable SQL injection vulnerability affects the Registration Wizard in EmployeeRecruitmentSystem through several registration form parameters. An attacker may manipulate database queries when submitted input is incorporated into mysql_query without adequate protection.
A remotely exploitable SQL injection vulnerability affects the Registration Wizard in EmployeeRecruitmentSystem through several registration form parameters. An attacker may manipulate database queries when submitted input is incorporated into mysql_query without adequate protection.
Affected context
The issue occurs in the Registration Wizard's /source/registerform2.php endpoint, specifically where values such as university, institute, branch, degree, status, cpi, semester, or experience are processed. It is relevant when externally supplied registration data reaches database query construction without reliable parameterization or equivalent input controls. The affected product line is described as unsupported by its maintainer, and exact release boundaries may be unclear because it uses rolling delivery.
The issue occurs in the Registration Wizard's /source/registerform2.php endpoint, specifically where values such as university, institute, branch, degree, status, cpi, semester, or experience are processed. It is relevant when externally supplied registration data reaches database query construction without reliable parameterization or equivalent input controls. The affected product line is described as unsupported by its maintainer, and exact release boundaries may be unclear because it uses rolling delivery.
Exploit preconditions
- Attack surface: Remote registration form endpoint - Required access: Ability to reach the Registration Wizard and submit form
data; authentication requirements may depend on deployment configuration
- Trigger point: Processing of one or more listed registration parameters in
registerform2.php
- Why exploitation is possible: User-controlled values may influence SQL
statements without sufficient separation between data and query syntax
- Attack surface: Remote registration form endpoint - Required access: Ability to reach the Registration Wizard and submit form
data; authentication requirements may depend on deployment configuration
- Trigger point: Processing of one or more listed registration parameters in
registerform2.php
- Why exploitation is possible: User-controlled values may influence SQL
statements without sufficient separation between data and query syntax
Why this happens
The underlying defect is an injection-prone database access pattern in which untrusted form values are passed into mysql_query or related query-building logic without consistently using parameterized statements. This allows input data to alter the intended structure of a database command, mapping directly to CWE-89, SQL Injection. CWE-74 also reflects the broader failure to constrain data from being interpreted as part of a command or expression.
The underlying defect is an injection-prone database access pattern in which untrusted form values are passed into mysql_query or related query-building logic without consistently using parameterized statements. This allows input data to alter the intended structure of a database command, mapping directly to CWE-89, SQL Injection. CWE-74 also reflects the broader failure to constrain data from being interpreted as part of a command or expression.
Potential impact
- An attacker may read sensitive records from the application database.
- An attacker could alter, insert, or delete database contents.
- The vulnerability may enable authentication or authorization bypass,
depending on query context.
- Database availability could be affected through destructive or expensive
operations.
- Exposed records could support further compromise of users or connected
systems.
- An attacker may read sensitive records from the application database.
- An attacker could alter, insert, or delete database contents.
- The vulnerability may enable authentication or authorization bypass,
depending on query context.
- Database availability could be affected through destructive or expensive
operations.
- Exposed records could support further compromise of users or connected
systems.
General mitigation guidance
Mitigation generally centers on replacing dynamic SQL construction with parameterized queries or safe query-builder abstractions. Input validation should be schema-aware and treated as a defense in depth measure rather than as a substitute for query parameterization. Database accounts should follow least privilege, and application errors should avoid exposing query details. Configuration and deployment processes should also reduce exposure of unsupported components and preserve auditable controls around database access.
Mitigation generally centers on replacing dynamic SQL construction with parameterized queries or safe query-builder abstractions. Input validation should be schema-aware and treated as a defense in depth measure rather than as a substitute for query parameterization. Database accounts should follow least privilege, and application errors should avoid exposing query details. Configuration and deployment processes should also reduce exposure of unsupported components and preserve auditable controls around database access.
How teams detect issues like this
Detection can include static analysis for mysql_query calls and string concatenation involving request parameters, as well as code review checks for missing prepared statements. Dynamic testing may monitor registration parameters for unexpected database errors, anomalous query behavior, and unusual response differences, using authorized non-destructive test cases. Web application firewalls and database activity monitoring can enforce policies against suspicious input and unexpected query patterns. Automated security review tools may help identify injection-prone data flows.
Detection can include static analysis for mysql_query calls and string concatenation involving request parameters, as well as code review checks for missing prepared statements. Dynamic testing may monitor registration parameters for unexpected database errors, anomalous query behavior, and unusual response differences, using authorized non-destructive test cases. Web application firewalls and database activity monitoring can enforce policies against suspicious input and unexpected query patterns. Automated security review tools may help identify injection-prone data flows.
Sources
| Source | Link |
|---|---|
| github. | github.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
