Summary
ProjectWorlds Advanced Library Management System 1.0 contains a SQL injection vulnerability in the report search functionality. A remote attacker may manipulate the roll_number parameter to alter database queries, potentially exposing or modifying library data when the affected endpoint is reachable.
ProjectWorlds Advanced Library Management System 1.0 contains a SQL injection vulnerability in the report search functionality. A remote attacker may manipulate the roll_number parameter to alter database queries, potentially exposing or modifying library data when the affected endpoint is reachable.
Affected context
The vulnerability occurs in the individual_report_search.php component, where the roll_number argument is incorporated into a database query through mysqli_query. Deployments may be at risk when this endpoint is remotely accessible and user-controlled input is not safely separated from SQL statements.
The vulnerability occurs in the individual_report_search.php component, where the roll_number argument is incorporated into a database query through mysqli_query. Deployments may be at risk when this endpoint is remotely accessible and user-controlled input is not safely separated from SQL statements.
Exploit preconditions
- Attack surface: The remotely accessible individual report search endpoint
- Required access: Network access to the application; authentication requirements depend on deployment configuration
- Trigger point: Processing the
roll_numberparameter inindividual_report_search.php - Why exploitation is possible: Input may influence SQL query construction without sufficient parameterization or contextual validation
- Attack surface: The remotely accessible individual report search endpoint
- Required access: Network access to the application; authentication requirements depend on deployment configuration
- Trigger point: Processing the
roll_numberparameter inindividual_report_search.php - Why exploitation is possible: Input may influence SQL query construction without sufficient parameterization or contextual validation
Why this happens
The underlying bug is the unsafe handling of externally supplied input in a database query. When application data is combined directly with SQL syntax and executed through mysqli_query, an attacker may influence the query's structure rather than supplying only a value. 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 bug is the unsafe handling of externally supplied input in a database query. When application data is combined directly with SQL syntax and executed through mysqli_query, an attacker may influence the query's structure rather than supplying only a value. 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
- Unauthorized disclosure of library, member, or circulation records
- Modification or deletion of database information
- Bypass of application-level data access controls
- Database availability degradation
- Further compromise of connected application components, depending on database privileges
- Unauthorized disclosure of library, member, or circulation records
- Modification or deletion of database information
- Bypass of application-level data access controls
- Database availability degradation
- Further compromise of connected application components, depending on database privileges
General mitigation guidance
Mitigation generally focuses on separating SQL code from user-supplied values and reducing the trust placed in request parameters.
Common defensive patterns include:
- Use parameterized queries or prepared statements for all database operations
- Apply allowlist-based validation for identifiers such as roll numbers
- Avoid constructing SQL statements through string concatenation
- Ensure database accounts have only the privileges required by the application
- Return generic database errors while recording useful security telemetry
- Apply consistent input handling and authorization checks across related search endpoints
Mitigation generally focuses on separating SQL code from user-supplied values and reducing the trust placed in request parameters.
Common defensive patterns include:
- Use parameterized queries or prepared statements for all database operations
- Apply allowlist-based validation for identifiers such as roll numbers
- Avoid constructing SQL statements through string concatenation
- Ensure database accounts have only the privileges required by the application
- Return generic database errors while recording useful security telemetry
- Apply consistent input handling and authorization checks across related search endpoints
How teams detect issues like this
Organizations can detect similar weaknesses through:
- Static analysis rules identifying SQL construction from request parameters
- Code review checks for string concatenation or interpolation near database APIs
- Dynamic testing of search and filtering endpoints with unexpected input types and delimiters
- Web application firewall or API gateway policies for suspicious query-manipulation patterns
- Database monitoring for anomalous queries, privilege use, and unexpected data access
Automated security scanning and code review tools can help identify likely injection paths, but findings should be confirmed against actual query construction and deployment controls.
Organizations can detect similar weaknesses through:
- Static analysis rules identifying SQL construction from request parameters
- Code review checks for string concatenation or interpolation near database APIs
- Dynamic testing of search and filtering endpoints with unexpected input types and delimiters
- Web application firewall or API gateway policies for suspicious query-manipulation patterns
- Database monitoring for anomalous queries, privilege use, and unexpected data access
Automated security scanning and code review tools can help identify likely injection paths, but findings should be confirmed against actual query construction and deployment controls.
Sources
| Source | Link |
|---|---|
| github. | github.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
