Summary
A SQL injection vulnerability in the transaction_details.php endpoint allows crafted input in the transaction_id argument to influence database queries. Because the affected functionality may be reachable remotely, an attacker could access, alter, or otherwise interfere with database data when query construction does not safely separate input from SQL syntax.
A SQL injection vulnerability in the transaction_details.php endpoint allows crafted input in the transaction_id argument to influence database queries. Because the affected functionality may be reachable remotely, an attacker could access, alter, or otherwise interfere with database data when query construction does not safely separate input from SQL syntax.
Affected context
The issue occurs in deployments of onetwothreeneth HospitalManagementSystem containing the affected transaction details functionality. Risk is present when the remotely reachable transaction_details.php endpoint accepts transaction_id input and incorporates it into database queries without effective parameterization or equivalent query safeguards; the available details do not establish whether authentication is required.
The issue occurs in deployments of onetwothreeneth HospitalManagementSystem containing the affected transaction details functionality. Risk is present when the remotely reachable transaction_details.php endpoint accepts transaction_id input and incorporates it into database queries without effective parameterization or equivalent query safeguards; the available details do not establish whether authentication is required.
Exploit preconditions
- Attack surface: Remote web application endpoint
- Required access: Ability to reach the transaction details functionality; authentication requirements are deployment-dependent
- Input condition: Attacker-controlled data must be accepted through the
transaction_idargument - Trigger point: Processing the transaction details request
- Why exploitation is possible: Input may be interpreted as part of a database query rather than strictly as a transaction identifier
- Attack surface: Remote web application endpoint
- Required access: Ability to reach the transaction details functionality; authentication requirements are deployment-dependent
- Input condition: Attacker-controlled data must be accepted through the
transaction_idargument - Trigger point: Processing the transaction details request
- Why exploitation is possible: Input may be interpreted as part of a database query rather than strictly as a transaction identifier
Why this happens
The underlying bug is an unsafe boundary between externally supplied request data and SQL query construction. When application code concatenates or otherwise embeds transaction_id into a database statement without parameterized queries, an attacker may influence the statement's structure. 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 an unsafe boundary between externally supplied request data and SQL query construction. When application code concatenates or otherwise embeds transaction_id into a database statement without parameterized queries, an attacker may influence the statement's structure. 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
- An attacker may read unauthorized transaction or application data
- Database records could be modified or deleted
- Authentication, authorization, or application state data could be exposed
- Database availability could be degraded
- Information obtained from the database could support further attacks
- An attacker may read unauthorized transaction or application data
- Database records could be modified or deleted
- Authentication, authorization, or application state data could be exposed
- Database availability could be degraded
- Information obtained from the database could support further attacks
General mitigation guidance
Mitigation generally centers on ensuring that request data is treated strictly as data rather than executable SQL syntax.
Common defensive patterns include:
- Use parameterized queries or prepared statements for all database operations
- Apply allowlisted type and range validation to identifier inputs such as
transaction_id - Avoid dynamically assembled SQL where structured query APIs can provide safer alternatives
- Restrict the database account to the minimum permissions required by the application
- Return generic database errors to clients while preserving detailed diagnostics in protected logs
- Reduce unnecessary remote exposure of transaction-management endpoints
Mitigation generally centers on ensuring that request data is treated strictly as data rather than executable SQL syntax.
Common defensive patterns include:
- Use parameterized queries or prepared statements for all database operations
- Apply allowlisted type and range validation to identifier inputs such as
transaction_id - Avoid dynamically assembled SQL where structured query APIs can provide safer alternatives
- Restrict the database account to the minimum permissions required by the application
- Return generic database errors to clients while preserving detailed diagnostics in protected logs
- Reduce unnecessary remote exposure of transaction-management endpoints
How teams detect issues like this
Organizations can identify similar issues through:
- Static analysis rules that flag string concatenation or interpolation in SQL execution paths
- Code review checks for request parameters reaching database APIs without binding
- Dynamic application testing using non-destructive SQL injection detection techniques
- Web application firewall or API policy rules monitoring anomalous database-oriented input
- Database audit logs that identify unexpected query shapes, error patterns, or excessive data access
- Automated security review tools that trace user-controlled values into query construction
Organizations can identify similar issues through:
- Static analysis rules that flag string concatenation or interpolation in SQL execution paths
- Code review checks for request parameters reaching database APIs without binding
- Dynamic application testing using non-destructive SQL injection detection techniques
- Web application firewall or API policy rules monitoring anomalous database-oriented input
- Database audit logs that identify unexpected query shapes, error patterns, or excessive data access
- Automated security review tools that trace user-controlled values into query construction
Sources
| Source | Link |
|---|---|
| github. | github.com/ |
| github. | github.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
