Summary
A time-based blind SQL injection vulnerability affects the search parameter used by the audit logs view in the utilities section. An attacker may manipulate database queries through crafted input, potentially extracting, altering, or disrupting data when the parameter reaches a vulnerable query without adequate protection.
Affected context
The issue occurs in the audit logs search functionality when user-controlled search input is incorporated into a database query without sufficient parameterization or equivalent query separation. Exploitation risk depends on the affected application exposing this feature to an attacker and the database account having access to sensitive records or operations.
Exploit preconditions
- Attack surface: Audit logs view in the utilities section
- Required access: Access to the application feature or endpoint that accepts the search parameter
- Trigger point: Processing the search parameter as part of a database query
- Why exploitation is possible: Input may influence query execution and produce observable timing differences when database operations are not safely separated from user-supplied data
Why this happens
The underlying bug is an SQL injection condition in which externally controlled input is incorporated into a database statement as executable query syntax rather than being handled strictly as data. This maps to CWE-89: Improper Neutralization of Special Elements used in an SQL Command, commonly addressed through parameterized queries, safe query APIs, and narrowly defined input handling.
Potential impact
- An attacker may infer sensitive database information through response timing
- Confidential audit records could be exposed
- Database records may be modified if the account and query context permit it
- Application availability could be affected through expensive or disruptive database operations
- Compromise of connected data may support broader application abuse
General mitigation guidance
Mitigation generally focuses on removing the ability for input to alter SQL statement structure.
Common defensive patterns include:
- Using parameterized queries or prepared statements for all user-controlled values
- Applying database access layers that separate query code from input data
- Enforcing strict, length-limited validation for search terms where appropriate
- Restricting database accounts to the minimum required read and write privileges
- Avoiding detailed database errors and timing-revealing behavior in user-facing responses
- Applying secure-by-default query construction policies across audit and search features
How teams detect issues like this
Organizations commonly detect SQL injection risks through:
- Static analysis rules identifying string concatenation or interpolation in SQL construction
- Code review checks for unparameterized query inputs and unsafe database helper usage
- Dynamic testing of search parameters using non-destructive injection test cases
- Monitoring for unusual database latency, query patterns, and repeated malformed search requests
- Policy enforcement requiring parameterized queries and approved data-access libraries
Automated security review tools may help identify query construction patterns, but findings should be validated against the application's actual data-access behavior.
