Summary
A SQL injection vulnerability in the Restaurant-Management-System's order placement workflow allows remotely supplied id or name values to influence database queries.
When these values are processed without adequate query separation or validation, an attacker may read, alter, or otherwise interfere with database-backed application data.
Affected context
The vulnerability occurs in the Order Placement component, specifically in User/ord.php, where the mysqli_query function processes request-related id and name arguments. It is relevant when externally controlled values reach database query construction without reliable parameterization or equivalent safeguards.
Exploit preconditions
- Attack surface: Remotely accessible order placement functionality
- Required access: Access to the application's order placement endpoint; authentication requirements depend on deployment configuration
- Trigger point: Processing of the
idornamearguments inUser/ord.php - Why exploitation is possible: User-controlled input can influence SQL query construction before being safely separated from query syntax
Why this happens
The underlying bug is an injection flaw in which data supplied through application arguments is incorporated into a database query without sufficient separation between SQL instructions and values.
This maps primarily to CWE-89: Improper Neutralization of Special Elements used in an SQL Command (SQL Injection). CWE-74 is also relevant because the broader issue involves placing untrusted input into an interpreter's command language.
Potential impact
- An attacker may retrieve unauthorized application or customer data
- Database records could be modified, deleted, or corrupted
- Authentication or authorization data may be exposed or altered
- Application availability could be affected through disruptive database operations
- Sensitive information could be used to support further attacks
General mitigation guidance
Mitigation generally focuses on preventing untrusted values from becoming part of SQL syntax.
Common defensive patterns include:
- Using parameterized queries or prepared statements for all database operations
- Applying allowlist validation for identifiers and expected value formats
- Avoiding dynamic query construction where fixed query structures are sufficient
- Limiting database accounts to the minimum required permissions
- Separating database credentials and restricting access to sensitive tables
- Returning generic database errors while recording useful details in protected logs
These controls reduce reliance on input filtering alone and help contain impact if another application weakness is present.
How teams detect issues like this
Organizations commonly detect SQL injection risks through:
- Static analysis rules for string concatenation or interpolation used in SQL statements
- Code review checks for database APIs receiving request parameters directly
- Dynamic testing of remotely accessible parameters with non-destructive injection probes
- Web application firewall or gateway policies for suspicious SQL metacharacter patterns
- Monitoring for unusual query errors, access patterns, bulk reads, or unexpected data changes
Automated review tools may help identify unsafe query construction, but findings should be validated against actual data flows and database APIs.
