Summary
A SQL injection vulnerability in the Insurance Management System allows attacker-controlled values supplied to the plan number or plan name fields to influence database queries. Because the affected endpoint is remotely reachable, an attacker who can submit requests may be able to read, alter, or otherwise misuse database information.
A SQL injection vulnerability in the Insurance Management System allows attacker-controlled values supplied to the plan number or plan name fields to influence database queries. Because the affected endpoint is remotely reachable, an attacker who can submit requests may be able to read, alter, or otherwise misuse database information.
Affected context
The vulnerability occurs in the administrative plan-editing functionality at /Admin/View/editPlan.php, where the Plan_no and Name arguments are passed to mysqli_query. It becomes risky when externally supplied values are incorporated into SQL statements without reliable parameterization, and when the endpoint is accessible over the network.
The vulnerability occurs in the administrative plan-editing functionality at /Admin/View/editPlan.php, where the Plan_no and Name arguments are passed to mysqli_query. It becomes risky when externally supplied values are incorporated into SQL statements without reliable parameterization, and when the endpoint is accessible over the network.
Exploit preconditions
- Attack surface: The remotely accessible plan-editing request handled by
/Admin/View/editPlan.php - Required access: Ability to reach the endpoint and submit or influence the relevant request parameters; authorization requirements depend on the application's access controls
- Trigger point: Processing of the
Plan_noorNameargument in a database query - Why exploitation is possible: Untrusted input may alter the intended structure or logic of a dynamically constructed SQL statement
- Attack surface: The remotely accessible plan-editing request handled by
/Admin/View/editPlan.php - Required access: Ability to reach the endpoint and submit or influence the relevant request parameters; authorization requirements depend on the application's access controls
- Trigger point: Processing of the
Plan_noorNameargument in a database query - Why exploitation is possible: Untrusted input may alter the intended structure or logic of a dynamically constructed SQL statement
Why this happens
The underlying bug is an injection flaw in which input data is treated as part of a SQL command rather than strictly as data. If values reaching mysqli_query are concatenated into query text without parameterized statements and appropriate validation, database command structure can be influenced by the caller. 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 injection flaw in which input data is treated as part of a SQL command rather than strictly as data. If values reaching mysqli_query are concatenated into query text without parameterized statements and appropriate validation, database command structure can be influenced by the caller. 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 retrieve sensitive insurance or customer records
- Database contents could be modified, deleted, or corrupted
- Authentication or authorization data could be exposed or altered
- Application availability could be affected through resource-intensive or destructive queries
- Compromised database access could support further attacks against connected systems
- An attacker may retrieve sensitive insurance or customer records
- Database contents could be modified, deleted, or corrupted
- Authentication or authorization data could be exposed or altered
- Application availability could be affected through resource-intensive or destructive queries
- Compromised database access could support further attacks against connected systems
General mitigation guidance
Mitigation generally focuses on ensuring that database commands cannot be reinterpreted from user-controlled data.
Common defensive patterns include:
- Use parameterized queries or prepared statements for every database operation
- Apply allowlisted validation for identifiers, numeric plan numbers, and expected name formats
- Keep database accounts restricted to the minimum permissions required by the application
- Separate administrative database operations from accounts used for routine application functions
- Avoid exposing database errors or query details in client-facing responses
- Enforce authorization and anti-automation controls around administrative endpoints
- Treat validation as a supplementary control rather than a replacement for query parameterization
Mitigation generally focuses on ensuring that database commands cannot be reinterpreted from user-controlled data.
Common defensive patterns include:
- Use parameterized queries or prepared statements for every database operation
- Apply allowlisted validation for identifiers, numeric plan numbers, and expected name formats
- Keep database accounts restricted to the minimum permissions required by the application
- Separate administrative database operations from accounts used for routine application functions
- Avoid exposing database errors or query details in client-facing responses
- Enforce authorization and anti-automation controls around administrative endpoints
- Treat validation as a supplementary control rather than a replacement for query parameterization
How teams detect issues like this
Organizations can look for SQL injection risks through:
- Static analysis patterns that identify string concatenation or interpolation in SQL passed to
mysqli_query - Code review checks for missing prepared statements around request parameters
- Dynamic testing of administrative endpoints using non-destructive input-validation probes
- Web application firewall or gateway policies that flag anomalous database-oriented request patterns
- Database monitoring for unexpected query shapes, excessive errors, unusual reads, or changes initiated by web application accounts
- Automated security review tools that identify unsafely constructed SQL queries
Organizations can look for SQL injection risks through:
- Static analysis patterns that identify string concatenation or interpolation in SQL passed to
mysqli_query - Code review checks for missing prepared statements around request parameters
- Dynamic testing of administrative endpoints using non-destructive input-validation probes
- Web application firewall or gateway policies that flag anomalous database-oriented request patterns
- Database monitoring for unexpected query shapes, excessive errors, unusual reads, or changes initiated by web application accounts
- Automated security review tools that identify unsafely constructed SQL queries
Sources
| Source | Link |
|---|---|
| github. | github.com/ |
| github. | github.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
