Summary
A SQL injection vulnerability in the EmployeeRecruitmentSystem registration handler allows remote attackers to manipulate database queries through insufficiently controlled input.
Exploitation may expose, alter, or delete database records when the affected registration functionality is reachable and attacker-controlled values are incorporated into SQL statements.
A SQL injection vulnerability in the EmployeeRecruitmentSystem registration handler allows remote attackers to manipulate database queries through insufficiently controlled input.
Exploitation may expose, alter, or delete database records when the affected registration functionality is reachable and attacker-controlled values are incorporated into SQL statements.
Affected context
The vulnerability occurs in the Registration Handler, specifically the mysql_query usage in source/adminregister.php. It affects deployments based on the identified unsupported code lineage where request-derived data may reach database queries without adequate parameterization or validation. Risk is greater when the registration endpoint is remotely accessible and the database account has broad privileges.
The vulnerability occurs in the Registration Handler, specifically the mysql_query usage in source/adminregister.php. It affects deployments based on the identified unsupported code lineage where request-derived data may reach database queries without adequate parameterization or validation. Risk is greater when the registration endpoint is remotely accessible and the database account has broad privileges.
Exploit preconditions
- Attack surface: Remotely reachable registration functionality
- Required access: Typically no authenticated access if the affected handler is publicly available
- Trigger point: Processing attacker-controlled input in
source/adminregister.php - Why exploitation is possible: Input may be incorporated into SQL statements without reliable separation between data and query syntax
- Attack surface: Remotely reachable registration functionality
- Required access: Typically no authenticated access if the affected handler is publicly available
- Trigger point: Processing attacker-controlled input in
source/adminregister.php - Why exploitation is possible: Input may be incorporated into SQL statements without reliable separation between data and query syntax
Why this happens
The underlying bug is an improper boundary between untrusted input and SQL command construction. When application data is concatenated into queries or passed through legacy query interfaces without parameterized binding, an attacker may influence the structure or behavior of the resulting statement.
This maps primarily to CWE-89: Improper Neutralization of Special Elements used in an SQL Command (SQL Injection). The broader CWE-74 classification reflects the unsafe handling of externally influenced command syntax.
The underlying bug is an improper boundary between untrusted input and SQL command construction. When application data is concatenated into queries or passed through legacy query interfaces without parameterized binding, an attacker may influence the structure or behavior of the resulting statement.
This maps primarily to CWE-89: Improper Neutralization of Special Elements used in an SQL Command (SQL Injection). The broader CWE-74 classification reflects the unsafe handling of externally influenced command syntax.
Potential impact
- An attacker may read sensitive database records
- Database contents could be modified or deleted
- Authentication or authorization data could be manipulated
- The application may experience denial of service
- A compromised database account could enable further access to connected systems
- An attacker may read sensitive database records
- Database contents could be modified or deleted
- Authentication or authorization data could be manipulated
- The application may experience denial of service
- A compromised database account could enable further access to connected systems
General mitigation guidance
Mitigation generally centers on separating data from SQL syntax and reducing trust in request-derived values.
Common defensive patterns include:
- Use parameterized queries or prepared statements for all database operations
- Apply allowlist validation for fields with constrained formats
- Avoid dynamically assembled SQL where structured query APIs are available
- Give the application database account only the permissions it requires
- Protect administrative and registration endpoints with appropriate access controls and rate limits
- Centralize database access patterns so unsafe query construction is less likely to recur
- Treat unsupported application code as a heightened maintenance and assurance risk
Mitigation generally centers on separating data from SQL syntax and reducing trust in request-derived values.
Common defensive patterns include:
- Use parameterized queries or prepared statements for all database operations
- Apply allowlist validation for fields with constrained formats
- Avoid dynamically assembled SQL where structured query APIs are available
- Give the application database account only the permissions it requires
- Protect administrative and registration endpoints with appropriate access controls and rate limits
- Centralize database access patterns so unsafe query construction is less likely to recur
- Treat unsupported application code as a heightened maintenance and assurance risk
How teams detect issues like this
Organizations can look for SQL injection risk through:
- Static analysis rules identifying string concatenation or interpolation in SQL calls
- Code review checks for legacy query APIs such as direct
mysql_queryusage - Tests using benign metacharacter and boundary inputs to verify parameter handling
- Web application firewall or database monitoring rules for anomalous query patterns
- Policy enforcement requiring prepared statements and approved database access libraries
- Review of database logs for unexpected query structures, enumeration behavior, or excessive errors
Organizations can look for SQL injection risk through:
- Static analysis rules identifying string concatenation or interpolation in SQL calls
- Code review checks for legacy query APIs such as direct
mysql_queryusage - Tests using benign metacharacter and boundary inputs to verify parameter handling
- Web application firewall or database monitoring rules for anomalous query patterns
- Policy enforcement requiring prepared statements and approved database access libraries
- Review of database logs for unexpected query structures, enumeration behavior, or excessive errors
Sources
| Source | Link |
|---|---|
| github. | github.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
