Summary
A remotely exploitable SQL injection flaw affects the Patient Login Handler in girishsaraf Online-Appointment-Booking-System. Unsafely processed uname and psw values may allow an attacker to alter database queries, potentially bypass authentication or access and modify stored data.
A remotely exploitable SQL injection flaw affects the Patient Login Handler in girishsaraf Online-Appointment-Booking-System. Unsafely processed uname and psw values may allow an attacker to alter database queries, potentially bypass authentication or access and modify stored data.
Affected context
The vulnerability occurs in the Patient Login Handler, specifically in cover.php, where login-related values are passed to mysqli_query. It may affect deployments using rolling-release code at or before the identified commit when the uname and psw inputs are incorporated into database queries without reliable parameterization or equivalent safeguards.
The vulnerability occurs in the Patient Login Handler, specifically in cover.php, where login-related values are passed to mysqli_query. It may affect deployments using rolling-release code at or before the identified commit when the uname and psw inputs are incorporated into database queries without reliable parameterization or equivalent safeguards.
Exploit preconditions
- Attack surface: The remotely accessible patient login endpoint
- Required access: No authenticated account may be required if the login handler is publicly reachable
- Trigger point: Processing of the
unameorpswrequest parameters - Why exploitation is possible: User-controlled values may influence SQL query construction before being safely separated from query logic
- Attack surface: The remotely accessible patient login endpoint
- Required access: No authenticated account may be required if the login handler is publicly reachable
- Trigger point: Processing of the
unameorpswrequest parameters - Why exploitation is possible: User-controlled values may influence SQL query construction before being safely separated from query logic
Why this happens
The underlying issue is the unsafe composition of SQL statements from externally supplied login parameters. When application data is treated as part of query syntax instead of being bound as data, an attacker may influence database operations. This maps primarily to CWE-89: Improper Neutralization of Special Elements used in an SQL Command (SQL Injection); CWE-74 broadly describes improper neutralization in an interpreter context.
The underlying issue is the unsafe composition of SQL statements from externally supplied login parameters. When application data is treated as part of query syntax instead of being bound as data, an attacker may influence database operations. This maps primarily to CWE-89: Improper Neutralization of Special Elements used in an SQL Command (SQL Injection); CWE-74 broadly describes improper neutralization in an interpreter context.
Potential impact
- An attacker may bypass patient authentication
- Sensitive patient or appointment data could be disclosed
- Database records may be altered or deleted
- Application availability could be degraded
- Database credentials or privileges could enable broader compromise
- An attacker may bypass patient authentication
- Sensitive patient or appointment data could be disclosed
- Database records may be altered or deleted
- Application availability could be degraded
- Database credentials or privileges could enable broader compromise
General mitigation guidance
Mitigation generally focuses on separating SQL code from user-supplied data and reducing the trust placed in login inputs.
Common defensive patterns include:
- Using parameterized queries or prepared statements for every database operation
- Applying allowlist validation appropriate to each input field
- Avoiding string concatenation when constructing SQL statements
- Limiting the database account to the minimum required permissions
- Returning generic authentication errors and avoiding detailed database messages
- Protecting database credentials and restricting database network exposure
- Applying security checks consistently across rolling-release deployment workflows
Mitigation generally focuses on separating SQL code from user-supplied data and reducing the trust placed in login inputs.
Common defensive patterns include:
- Using parameterized queries or prepared statements for every database operation
- Applying allowlist validation appropriate to each input field
- Avoiding string concatenation when constructing SQL statements
- Limiting the database account to the minimum required permissions
- Returning generic authentication errors and avoiding detailed database messages
- Protecting database credentials and restricting database network exposure
- Applying security checks consistently across rolling-release deployment workflows
How teams detect issues like this
Organizations can assess for this class of issue through:
- Static analysis rules identifying SQL construction through string concatenation or interpolation
- Code review of all database calls that process request parameters
- Tests using unexpected input types and boundary values without relying on production data
- Web application monitoring for anomalous login requests, database errors, and unusual query behavior
- Policy enforcement requiring prepared statements or approved database-access abstractions
- Neutral automated code-review tools that flag unsafely constructed SQL queries
Organizations can assess for this class of issue through:
- Static analysis rules identifying SQL construction through string concatenation or interpolation
- Code review of all database calls that process request parameters
- Tests using unexpected input types and boundary values without relying on production data
- Web application monitoring for anomalous login requests, database errors, and unusual query behavior
- Policy enforcement requiring prepared statements or approved database-access abstractions
- Neutral automated code-review tools that flag 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/ |
