Summary
The supplier_no parameter in the business allocation search feature is vulnerable to time-based blind SQL injection. If an attacker can submit crafted input to the affected search function, they may infer database information and potentially alter, access, or disrupt data depending on database permissions.
Affected context
The vulnerability occurs in the business allocation search feature when the supplier_no parameter is incorporated into a database query without sufficient separation between user input and SQL syntax. Risk is higher when the search endpoint is reachable by untrusted users and the application database account has broad privileges.
Exploit preconditions
- Attack surface: The business allocation search interface or its underlying request endpoint
- Required access: Ability to submit or modify the
supplier_noparameter; authentication requirements depend on deployment controls - Trigger point: Server-side processing of the parameter in a database query
- Why exploitation is possible: Input may influence query execution, while time-based responses can provide an inference channel even when query results are not directly returned
Why this happens
The underlying bug is the unsafe construction of SQL statements from externally influenced input. When application data is treated as executable query syntax rather than as a bound value, an attacker may alter query behavior and use measurable response delays to infer database conditions. This behavior maps to CWE-89: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection').
Potential impact
- An attacker may infer sensitive database information through response timing
- Unauthorized records may be accessed, modified, or deleted
- Application data integrity could be compromised
- Database availability may be degraded through resource-intensive queries
- Broader compromise could occur if the database account has excessive privileges or dangerous extensions enabled
General mitigation guidance
Mitigation generally focuses on ensuring that user-controlled values cannot become SQL syntax.
Common defensive patterns include:
- Use parameterized queries or prepared statements for the
supplier_novalue - Apply allowlist validation for the expected supplier-number format as an additional control
- Avoid dynamic SQL construction when a static query can provide the required behavior
- Grant the application database account only the privileges it needs
- Use generic error handling and avoid exposing database diagnostics
- Enforce secure defaults through shared data-access libraries and query-building policies
How teams detect issues like this
Detection approaches may include:
- Static analysis for string concatenation, interpolation, or formatting used to build SQL queries
- Code review checks for request parameters passed directly into database APIs
- Dynamic testing that compares response timing and behavior for unexpected parameter values
- Web application firewall or API gateway policies for suspicious SQL metacharacter patterns, while treating them as defense-in-depth
- Database monitoring for unusual query latency, syntax errors, privilege use, or access patterns
- Automated security review tools that identify unparameterized query construction
