Summary
A remotely reachable password-reset endpoint in the Restaurant-Management-System may construct database queries from email or password parameters without adequate separation between data and SQL syntax. An attacker who can reach the endpoint could manipulate those inputs to alter query behavior and potentially access, modify, or disrupt database-backed information.
A remotely reachable password-reset endpoint in the Restaurant-Management-System may construct database queries from email or password parameters without adequate separation between data and SQL syntax. An attacker who can reach the endpoint could manipulate those inputs to alter query behavior and potentially access, modify, or disrupt database-backed information.
Affected context
The issue is associated with the password-reset processing in User/forgot3.php, particularly handling of the email and password parameters. Deployments may be at risk when this endpoint is externally accessible and user-controlled values reach database queries without effective parameterization or equivalent query-boundary controls.
The issue is associated with the password-reset processing in User/forgot3.php, particularly handling of the email and password parameters. Deployments may be at risk when this endpoint is externally accessible and user-controlled values reach database queries without effective parameterization or equivalent query-boundary controls.
Exploit preconditions
- Attack surface: Remotely accessible password-reset endpoint
- Required access: Network access to the application; authentication may not be required if the reset function is public
- Trigger point: Processing of user-supplied
emailorpasswordvalues - Why exploitation is possible: Input may be incorporated into database statements without reliably separating untrusted data from SQL syntax
- Attack surface: Remotely accessible password-reset endpoint
- Required access: Network access to the application; authentication may not be required if the reset function is public
- Trigger point: Processing of user-supplied
emailorpasswordvalues - Why exploitation is possible: Input may be incorporated into database statements without reliably separating untrusted data from SQL syntax
Why this happens
The underlying bug is an unsafe interaction between externally supplied input and database query construction. When application code builds SQL statements through string concatenation, interpolation, or insufficient escaping, specially interpreted input can change the intended query 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 interaction between externally supplied input and database query construction. When application code builds SQL statements through string concatenation, interpolation, or insufficient escaping, specially interpreted input can change the intended query 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 sensitive database records
- An attacker could alter account, reset, or application data
- The vulnerability may enable unauthorized password-reset effects
- Database availability could be degraded or disrupted
- Exposed records could support further attacks against users or administrators
- An attacker may read sensitive database records
- An attacker could alter account, reset, or application data
- The vulnerability may enable unauthorized password-reset effects
- Database availability could be degraded or disrupted
- Exposed records could support further attacks against users or administrators
General mitigation guidance
Mitigation generally centers on maintaining a strict boundary between query code and user-controlled values.
Common defensive patterns include:
- Use parameterized queries or prepared statements for every database operation
- Avoid constructing SQL through string concatenation or interpolation
- Apply server-side allowlist validation appropriate to each field's expected format
- Treat client-side validation and escaping as supplementary rather than primary controls
- Ensure password-reset workflows use short-lived, single-use, securely generated tokens rather than trusting mutable account fields
- Run the application database account with only the permissions required by the feature
- Centralize database access patterns and enforce secure query policies through shared libraries
Mitigation generally centers on maintaining a strict boundary between query code and user-controlled values.
Common defensive patterns include:
- Use parameterized queries or prepared statements for every database operation
- Avoid constructing SQL through string concatenation or interpolation
- Apply server-side allowlist validation appropriate to each field's expected format
- Treat client-side validation and escaping as supplementary rather than primary controls
- Ensure password-reset workflows use short-lived, single-use, securely generated tokens rather than trusting mutable account fields
- Run the application database account with only the permissions required by the feature
- Centralize database access patterns and enforce secure query policies through shared libraries
How teams detect issues like this
Organizations can look for SQL injection risk through:
- Static analysis rules identifying string-built SQL statements and unparameterized database calls
- Code review checks for request parameters flowing into query construction
- Runtime testing of password-reset and other unauthenticated endpoints using safe, non-destructive injection indicators
- Web application firewall or API gateway policies that flag anomalous database-oriented input patterns
- Database audit logs showing unusual query structures, access volumes, or account activity
- Automated code review and software composition analysis tools that identify insecure query patterns
Organizations can look for SQL injection risk through:
- Static analysis rules identifying string-built SQL statements and unparameterized database calls
- Code review checks for request parameters flowing into query construction
- Runtime testing of password-reset and other unauthenticated endpoints using safe, non-destructive injection indicators
- Web application firewall or API gateway policies that flag anomalous database-oriented input patterns
- Database audit logs showing unusual query structures, access volumes, or account activity
- Automated code review and software composition analysis tools that identify insecure query patterns
Sources
| Source | Link |
|---|---|
| github. | github.com/ |
| github. | github.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
