Summary
A time-based blind SQL injection vulnerability affects the screenID parameter in the electronic transaction queue viewer within the manual transactions section. An attacker may be able to influence database queries, potentially retrieving or modifying data when the parameter is reachable and insufficiently validated.
Affected context
The vulnerability occurs in the manual transactions feature, specifically where the electronic transaction queue viewer processes the screenID parameter. Risk exists when this parameter is incorporated into database queries without reliable parameterization, context-aware validation, or equivalent query safeguards.
Exploit preconditions
- Attack surface: The electronic transaction queue viewer in the manual transactions section
- Required access: Access to the affected application functionality, subject to authentication and authorization controls
- Trigger point: Processing of the
screenIDparameter when the transaction queue is viewed - Why exploitation is possible: User-controlled input may affect database query behavior, while time-based responses can provide an indirect signal about database evaluation
Why this happens
The underlying bug is an injection flaw in which externally influenced input is incorporated into a database query as executable query syntax rather than being treated strictly as data. Time-based blind SQL injection can reveal query outcomes through response timing even when database results are not directly displayed. This behavior maps to CWE-89: Improper Neutralization of Special Elements used in an SQL Command.
Potential impact
- An attacker may infer sensitive database information through application behavior
- Unauthorized users could potentially access or alter transaction-related records
- Database availability could be affected through resource-intensive queries
- Compromised data could support fraud, privacy violations, or further attacks
General mitigation guidance
Mitigation generally focuses on ensuring that all database access treats request parameters as data rather than executable query logic.
Common defensive patterns include:
- Use parameterized queries or prepared statements for every database operation
- Apply allowlist validation for identifiers such as screen or view IDs
- Avoid dynamically concatenating request values into SQL statements
- Enforce authorization independently of input validation
- Use database accounts with only the privileges required by the feature
- Reduce error and timing information exposed to clients where practical
How teams detect issues like this
High-level detection approaches include:
- Static analysis for string concatenation or interpolation of request parameters in SQL construction
- Code review checks for database calls that accept raw web request values
- Dynamic testing for anomalous response-time behavior across controlled invalid inputs
- Web application firewall or gateway policies monitoring suspicious database-query patterns
- Database audit logging and alerting for unusual query volume, latency, or access patterns
- Automated security review tools that identify likely injection sinks and missing parameterization
