Summary
A SQL injection vulnerability in the edoc-doctor appointment system allows attacker-controlled input in the spec argument to influence database queries. Because the affected endpoint is remotely reachable, an attacker may be able to access, alter, or destroy database information when input is not safely handled.
A SQL injection vulnerability in the edoc-doctor appointment system allows attacker-controlled input in the spec argument to influence database queries. Because the affected endpoint is remotely reachable, an attacker may be able to access, alter, or destroy database information when input is not safely handled.
Affected context
The vulnerability occurs in the administrative admin/add-new.php functionality of edoc-doctor deployments where the spec argument is incorporated into database operations without sufficient protection. Risk depends on the endpoint being reachable by an attacker and on the application's database account having permissions beyond those strictly required.
The vulnerability occurs in the administrative admin/add-new.php functionality of edoc-doctor deployments where the spec argument is incorporated into database operations without sufficient protection. Risk depends on the endpoint being reachable by an attacker and on the application's database account having permissions beyond those strictly required.
Exploit preconditions
- Attack surface: The remotely accessible
admin/add-new.phpendpoint - Required access: The ability to send requests to the affected functionality; authentication requirements may depend on deployment configuration
- Trigger point: Processing of the
specargument - Why exploitation is possible: Input may affect SQL query construction when it is not parameterized, constrained, or safely separated from database commands
- Attack surface: The remotely accessible
admin/add-new.phpendpoint - Required access: The ability to send requests to the affected functionality; authentication requirements may depend on deployment configuration
- Trigger point: Processing of the
specargument - Why exploitation is possible: Input may affect SQL query construction when it is not parameterized, constrained, or safely separated from database commands
Why this happens
The underlying issue is an improper separation between application data and SQL command structure. If the spec argument is concatenated into a database query or otherwise interpreted as query syntax, attacker-controlled input can alter the intended operation. This maps primarily to CWE-89: Improper Neutralization of Special Elements used in an SQL Command (SQL Injection); the broader CWE-74 classification reflects improper handling of externally influenced command syntax.
The underlying issue is an improper separation between application data and SQL command structure. If the spec argument is concatenated into a database query or otherwise interpreted as query syntax, attacker-controlled input can alter the intended operation. This maps primarily to CWE-89: Improper Neutralization of Special Elements used in an SQL Command (SQL Injection); the broader CWE-74 classification reflects improper handling of externally influenced command syntax.
Potential impact
- Unauthorized reading of application or user data
- Modification or deletion of database records
- Authentication or authorization bypass, depending on query context
- Exposure of sensitive appointment and administrative information
- Further compromise of the application or connected systems
- Unauthorized reading of application or user data
- Modification or deletion of database records
- Authentication or authorization bypass, depending on query context
- Exposure of sensitive appointment and administrative information
- Further compromise of the application or connected systems
General mitigation guidance
Mitigation generally focuses on ensuring that external input cannot become executable SQL syntax.
Common defensive patterns include:
- Using parameterized queries or prepared statements for all database operations
- Applying allowlist validation for fields with a constrained set of expected values
- Avoiding dynamic SQL construction where fixed queries or safe query builders are sufficient
- Enforcing least-privilege permissions for the application database account
- Separating administrative functionality from broadly reachable interfaces
- Returning generic database errors without exposing query details
- Treating client-side validation as supplementary rather than authoritative
Mitigation generally focuses on ensuring that external input cannot become executable SQL syntax.
Common defensive patterns include:
- Using parameterized queries or prepared statements for all database operations
- Applying allowlist validation for fields with a constrained set of expected values
- Avoiding dynamic SQL construction where fixed queries or safe query builders are sufficient
- Enforcing least-privilege permissions for the application database account
- Separating administrative functionality from broadly reachable interfaces
- Returning generic database errors without exposing query details
- Treating client-side validation as supplementary rather than authoritative
How teams detect issues like this
Organizations commonly detect SQL injection risks through:
- Static analysis rules identifying string concatenation or interpolation in SQL statements
- Code review checks for request parameters passed directly to database APIs
- Dynamic application testing that sends malformed or unexpected input to database-backed endpoints
- Web application firewall or gateway policies for suspicious query-manipulation patterns
- Database monitoring for anomalous queries, unusual error rates, or unexpected data access
Automated code review and software composition tools may help identify unsafe query construction, but findings should be validated against the application's query and authorization logic.
Organizations commonly detect SQL injection risks through:
- Static analysis rules identifying string concatenation or interpolation in SQL statements
- Code review checks for request parameters passed directly to database APIs
- Dynamic application testing that sends malformed or unexpected input to database-backed endpoints
- Web application firewall or gateway policies for suspicious query-manipulation patterns
- Database monitoring for anomalous queries, unusual error rates, or unexpected data access
Automated code review and software composition tools may help identify unsafe query construction, but findings should be validated against the application's query and authorization logic.
Sources
| Source | Link |
|---|---|
| gist. | gist.github.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
