Summary
A SQL injection vulnerability in the online clinic management system allows attacker-controlled input in the administrative doctor-view workflow to influence database queries. If the affected endpoint is reachable and the supplied identifier is not safely handled, a remote attacker may read, modify, or otherwise manipulate database content.
A SQL injection vulnerability in the online clinic management system allows attacker-controlled input in the administrative doctor-view workflow to influence database queries. If the affected endpoint is reachable and the supplied identifier is not safely handled, a remote attacker may read, modify, or otherwise manipulate database content.
Affected context
The issue occurs in the administrative mutation handler associated with admindocview.php, where the docid argument is processed. Risk is increased when this endpoint is remotely accessible, accepts untrusted request parameters, and constructs database queries without effective parameterization or equivalent input controls. The rolling-release model means deployments may differ in their exposure and remediation status.
The issue occurs in the administrative mutation handler associated with admindocview.php, where the docid argument is processed. Risk is increased when this endpoint is remotely accessible, accepts untrusted request parameters, and constructs database queries without effective parameterization or equivalent input controls. The rolling-release model means deployments may differ in their exposure and remediation status.
Exploit preconditions
- Attack surface: The remotely reachable administrative doctor-view endpoint
- Required access: Network access to the endpoint; additional authentication may or may not be required depending on deployment controls
- Trigger point: Processing of the
docidrequest argument byadmindocview.php - Why exploitation is possible: Untrusted input may be incorporated into a database query without sufficient separation between data and SQL syntax
- Attack surface: The remotely reachable administrative doctor-view endpoint
- Required access: Network access to the endpoint; additional authentication may or may not be required depending on deployment controls
- Trigger point: Processing of the
docidrequest argument byadmindocview.php - Why exploitation is possible: Untrusted input may be incorporated into a database query without sufficient separation between data and SQL syntax
Why this happens
The underlying bug is an injection flaw in which externally supplied data is allowed to affect the structure or meaning of a database query. This is consistent with CWE-89, SQL Injection, and falls within the broader injection family represented by CWE-74. The insecure pattern typically involves building query strings from request parameters instead of using parameterized statements, safe query APIs, or an equivalent abstraction that keeps data separate from executable query logic.
The underlying bug is an injection flaw in which externally supplied data is allowed to affect the structure or meaning of a database query. This is consistent with CWE-89, SQL Injection, and falls within the broader injection family represented by CWE-74. The insecure pattern typically involves building query strings from request parameters instead of using parameterized statements, safe query APIs, or an equivalent abstraction that keeps data separate from executable query logic.
Potential impact
- An attacker may retrieve sensitive clinic, patient, or administrative data.
- An attacker could alter, delete, or corrupt database records.
- Database credentials or other stored secrets may be exposed.
- The application may experience unauthorized administrative actions or service disruption.
- Depending on database privileges and configuration, compromise could extend to connected systems.
- An attacker may retrieve sensitive clinic, patient, or administrative data.
- An attacker could alter, delete, or corrupt database records.
- Database credentials or other stored secrets may be exposed.
- The application may experience unauthorized administrative actions or service disruption.
- Depending on database privileges and configuration, compromise could extend to connected systems.
General mitigation guidance
Mitigation generally focuses on enforcing a strict separation between query
logic and user-controlled data.
Common defensive patterns include:
- Use parameterized queries, prepared statements, or safe ORM query interfaces for every database operation.
- Apply allowlist validation to identifier-like values such as
docid, including expected type, format, and range. - Avoid dynamically concatenating request parameters into SQL statements.
- Use database accounts with only the privileges required by the application.
- Keep administrative endpoints protected by strong authentication and authorization controls.
- Return generic error messages and avoid exposing database details to clients.
- Treat input validation as a secondary control rather than a replacement for query parameterization.
Mitigation generally focuses on enforcing a strict separation between query
logic and user-controlled data.
Common defensive patterns include:
- Use parameterized queries, prepared statements, or safe ORM query interfaces for every database operation.
- Apply allowlist validation to identifier-like values such as
docid, including expected type, format, and range. - Avoid dynamically concatenating request parameters into SQL statements.
- Use database accounts with only the privileges required by the application.
- Keep administrative endpoints protected by strong authentication and authorization controls.
- Return generic error messages and avoid exposing database details to clients.
- Treat input validation as a secondary control rather than a replacement for query parameterization.
How teams detect issues like this
Detection can combine source review, automated analysis, and runtime monitoring:
- Use static analysis rules to identify SQL construction through string concatenation, interpolation, or formatting with request parameters.
- Review database access paths for direct use of values originating from
$_GET,$_POST, route parameters, or equivalent request sources. - Check that administrative identifiers are validated and passed through parameter-binding APIs.
- Use policy enforcement in CI to flag unparameterized query APIs and unsafe database wrappers.
- Monitor application and database logs for abnormal query errors, unexpected syntax fragments, unusual enumeration, or access patterns against administrative endpoints.
- Neutral automated code-review tools may help identify data-flow paths from HTTP input to database execution functions.
Detection can combine source review, automated analysis, and runtime monitoring:
- Use static analysis rules to identify SQL construction through string concatenation, interpolation, or formatting with request parameters.
- Review database access paths for direct use of values originating from
$_GET,$_POST, route parameters, or equivalent request sources. - Check that administrative identifiers are validated and passed through parameter-binding APIs.
- Use policy enforcement in CI to flag unparameterized query APIs and unsafe database wrappers.
- Monitor application and database logs for abnormal query errors, unexpected syntax fragments, unusual enumeration, or access patterns against administrative endpoints.
- Neutral automated code-review tools may help identify data-flow paths from HTTP input to database execution functions.
Sources
| Source | Link |
|---|---|
| github. | github.com/ |
| github. | github.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
