Summary
A remotely reachable SQL injection vulnerability in the Employee Recruitment System allows crafted input submitted through the registration workflow to influence database queries. If the affected email parameter is processed without adequate separation between data and SQL commands, an attacker may read, alter, or damage application data.
A remotely reachable SQL injection vulnerability in the Employee Recruitment System allows crafted input submitted through the registration workflow to influence database queries. If the affected email parameter is processed without adequate separation between data and SQL commands, an attacker may read, alter, or damage application data.
Affected context
The vulnerability occurs in the Registration component, specifically the processing associated with /source/registerform3.php and its pemail argument. It is relevant where externally supplied registration data is incorporated into database operations without robust query parameterization or equivalent safeguards.
The vulnerability occurs in the Registration component, specifically the processing associated with /source/registerform3.php and its pemail argument. It is relevant where externally supplied registration data is incorporated into database operations without robust query parameterization or equivalent safeguards.
Exploit preconditions
- Attack surface: The remotely accessible Registration form endpoint
- Required access: The ability to send requests to the registration workflow; authenticated access may not be required
- Trigger point: Processing of the
pemailparameter in/source/registerform3.php - Why exploitation is possible: User-controlled input may reach a database query without sufficient separation from SQL syntax
- Attack surface: The remotely accessible Registration form endpoint
- Required access: The ability to send requests to the registration workflow; authenticated access may not be required
- Trigger point: Processing of the
pemailparameter in/source/registerform3.php - Why exploitation is possible: User-controlled input may reach a database query without sufficient separation from SQL syntax
Why this happens
The underlying bug is an injection flaw in which application input is treated as part of a database command rather than strictly as data. This maps primarily to CWE-89: Improper Neutralization of Special Elements used in an SQL Command (SQL Injection) and is also broadly related to CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component. The insecure pattern typically involves constructing SQL statements through string concatenation or otherwise allowing untrusted values to alter query structure.
The underlying bug is an injection flaw in which application input is treated as part of a database command rather than strictly as data. This maps primarily to CWE-89: Improper Neutralization of Special Elements used in an SQL Command (SQL Injection) and is also broadly related to CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component. The insecure pattern typically involves constructing SQL statements through string concatenation or otherwise allowing untrusted values to alter query structure.
Potential impact
- An attacker may retrieve sensitive records from the application database
- An attacker could modify, insert, or delete stored data
- Database credentials or other secrets may be exposed
- Application authentication or authorization data could be altered
- The database service may be disrupted or used to affect connected systems
- An attacker may retrieve sensitive records from the application database
- An attacker could modify, insert, or delete stored data
- Database credentials or other secrets may be exposed
- Application authentication or authorization data could be altered
- The database service may be disrupted or used to affect connected systems
General mitigation guidance
Mitigation generally focuses on ensuring that untrusted registration data cannot change database query structure.
Common defensive patterns include:
- Use parameterized queries, prepared statements, or safe data-access abstractions by default
- Apply allowlisted input validation appropriate to email addresses and other registration fields
- Avoid dynamically concatenating user input into SQL statements
- Run the application database account with the minimum required permissions
- Separate database credentials and restrict access to only necessary schemas and operations
- Use centralized data-access controls and security testing policies for all externally supplied parameters
Mitigation generally focuses on ensuring that untrusted registration data cannot change database query structure.
Common defensive patterns include:
- Use parameterized queries, prepared statements, or safe data-access abstractions by default
- Apply allowlisted input validation appropriate to email addresses and other registration fields
- Avoid dynamically concatenating user input into SQL statements
- Run the application database account with the minimum required permissions
- Separate database credentials and restrict access to only necessary schemas and operations
- Use centralized data-access controls and security testing policies for all externally supplied parameters
How teams detect issues like this
Organizations can look for SQL injection risks through:
- Static analysis rules identifying SQL string construction with request parameters
- Code review checks for direct use of form, query, cookie, or header values in database calls
- Dynamic testing of registration endpoints with malformed input and database error monitoring
- Web application firewall or API policy rules that detect suspicious query-manipulation patterns
- Database audit logging for unexpected queries, privilege use, bulk reads, or unauthorized modifications
Automated code review and software composition analysis tools may help identify recurring injection patterns, but findings should be validated against the application's actual data-access behavior.
Organizations can look for SQL injection risks through:
- Static analysis rules identifying SQL string construction with request parameters
- Code review checks for direct use of form, query, cookie, or header values in database calls
- Dynamic testing of registration endpoints with malformed input and database error monitoring
- Web application firewall or API policy rules that detect suspicious query-manipulation patterns
- Database audit logging for unexpected queries, privilege use, bulk reads, or unauthorized modifications
Automated code review and software composition analysis tools may help identify recurring injection patterns, but findings should be validated against the application's actual data-access behavior.
Sources
| Source | Link |
|---|---|
| github. | github.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
