Summary
A SQL injection vulnerability in the php-travel-agency-system insertion handler allows attacker-controlled input to influence database queries. If the affected administrative endpoint is reachable and inputs are not safely handled, a remote attacker may be able to read, alter, or interfere with application data.
A SQL injection vulnerability in the php-travel-agency-system insertion handler allows attacker-controlled input to influence database queries. If the affected administrative endpoint is reachable and inputs are not safely handled, a remote attacker may be able to read, alter, or interfere with application data.
Affected context
The vulnerability is associated with the administrative insertion handler at admin/insert.php. It may occur when request parameters such as customer identifiers, payment details, amounts, descriptions, user information, image-related values, names, or visa numbers are incorporated into database operations without sufficient parameterization and validation. Risk depends on endpoint exposure, authentication controls, and the database account permissions used by the application.
The vulnerability is associated with the administrative insertion handler at admin/insert.php. It may occur when request parameters such as customer identifiers, payment details, amounts, descriptions, user information, image-related values, names, or visa numbers are incorporated into database operations without sufficient parameterization and validation. Risk depends on endpoint exposure, authentication controls, and the database account permissions used by the application.
Exploit preconditions
- Attack surface: The remotely reachable
admin/insert.phpinsertion handler - Required access: Ability to send requests to the affected endpoint; authentication requirements depend on deployment configuration
- Trigger point: Processing attacker-influenced insertion parameters
- Why exploitation is possible: Untrusted request data may alter the intended structure or behavior of database queries when it is not separated from SQL commands
- Attack surface: The remotely reachable
admin/insert.phpinsertion handler - Required access: Ability to send requests to the affected endpoint; authentication requirements depend on deployment configuration
- Trigger point: Processing attacker-influenced insertion parameters
- Why exploitation is possible: Untrusted request data may alter the intended structure or behavior of database queries when it is not separated from SQL commands
Why this happens
The underlying issue is an injection flaw in which external input is treated as part of a database command rather than as data. This behavior maps primarily to CWE-89: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') and is also related to the broader injection category represented by CWE-74. The insecure pattern commonly involves constructing SQL statements through string concatenation or equivalent query composition without consistently using parameterized interfaces.
The underlying issue is an injection flaw in which external input is treated as part of a database command rather than as data. This behavior maps primarily to CWE-89: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') and is also related to the broader injection category represented by CWE-74. The insecure pattern commonly involves constructing SQL statements through string concatenation or equivalent query composition without consistently using parameterized interfaces.
Potential impact
- An attacker may read sensitive records from the application database
- An attacker could modify, insert, or delete database content
- Authentication, payment, customer, or administrative data may be exposed or corrupted
- Database availability could be reduced through resource-intensive or destructive queries
- The application may be used as a stepping stone for further compromise, depending on database and service privileges
- An attacker may read sensitive records from the application database
- An attacker could modify, insert, or delete database content
- Authentication, payment, customer, or administrative data may be exposed or corrupted
- Database availability could be reduced through resource-intensive or destructive queries
- The application may be used as a stepping stone for further compromise, depending on database and service privileges
General mitigation guidance
Mitigation generally focuses on separating query structure from user-supplied data and reducing the trust placed in request parameters.
Common defensive patterns include:
- Use parameterized queries or prepared statements for every database operation
- Apply allowlist validation and type constraints appropriate to each field
- Avoid dynamically assembling SQL statements from request values
- Use database accounts with only the permissions required by the application
- Enforce authentication and authorization checks for administrative handlers
- Store sensitive payment-related data according to applicable security and privacy requirements
- Apply consistent error handling that does not disclose database details
Mitigation generally focuses on separating query structure from user-supplied data and reducing the trust placed in request parameters.
Common defensive patterns include:
- Use parameterized queries or prepared statements for every database operation
- Apply allowlist validation and type constraints appropriate to each field
- Avoid dynamically assembling SQL statements from request values
- Use database accounts with only the permissions required by the application
- Enforce authentication and authorization checks for administrative handlers
- Store sensitive payment-related data according to applicable security and privacy requirements
- Apply consistent error handling that does not disclose database details
How teams detect issues like this
Organizations can identify similar issues through:
- Static analysis rules for SQL string concatenation involving request parameters
- Code review checks for direct use of request variables in database calls
- Dynamic testing that examines whether unexpected input changes query behavior, without relying on destructive actions
- Web application firewall or API policy rules for suspicious request patterns
- Database activity monitoring for anomalous query volume, access patterns, or privilege use
- Automated security scanning and secure coding checks integrated into development workflows
Organizations can identify similar issues through:
- Static analysis rules for SQL string concatenation involving request parameters
- Code review checks for direct use of request variables in database calls
- Dynamic testing that examines whether unexpected input changes query behavior, without relying on destructive actions
- Web application firewall or API policy rules for suspicious request patterns
- Database activity monitoring for anomalous query volume, access patterns, or privilege use
- Automated security scanning and secure coding checks integrated into development workflows
Sources
| Source | Link |
|---|---|
| github. | github.com/ |
| github. | github.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
