Summary
Kaiten versions from 57.192.20 through releases before 57.214.26 contain a critical SQL injection vulnerability caused by dynamically generated SQL statements that lack adequate validation and parameterization. An attacker who can influence processed database input may be able to alter queries, access or modify data, or execute database operations beyond the intended application behavior.
Affected context
The vulnerability occurs in Kaiten releases from 57.192.20 to before 57.214.26 when application-controlled or externally influenced values are incorporated into dynamically constructed SQL statements. Risk depends on whether an attacker can reach the affected database-backed functionality and provide input that is used in a query without safe binding or equivalent controls.
Exploit preconditions
- Attack surface: Database-backed Kaiten functionality that builds dynamic SQL statements
- Required access: Access to an application interface, API, integration, or workflow that supplies query-influencing input
- Trigger point: Processing attacker-influenced data as part of a dynamically generated SQL statement
- Why exploitation is possible: Input is not consistently validated and is incorporated into SQL without parameterized statements or stored procedures
Why this happens
The underlying flaw is the construction of SQL statements by combining query logic with data that has not been safely separated from the command. This insecure pattern allows specially crafted input to change the intended meaning of a database query, mapping to CWE-89: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection'). The absence of parameter binding, appropriate stored-procedure controls, or equivalent query-construction safeguards increases the likelihood of injection.
Potential impact
- An attacker may read sensitive database records
- An attacker could modify, delete, or corrupt stored data
- The application may disclose information across authorization boundaries
- Database accounts or services may be used to perform unauthorized operations
- SQL injection could contribute to broader application or infrastructure compromise
General mitigation guidance
Mitigation generally centers on ensuring that data values cannot alter SQL command structure.
Common defensive patterns include:
- Use parameterized queries or safely designed stored procedures for all variable values
- Avoid string concatenation when constructing SQL statements
- Apply allowlist validation to values that must influence identifiers, sort directions, or query structure
- Minimize database account privileges and restrict access to only required schemas and operations
- Enforce authorization checks independently of database query construction
- Use controlled error handling so database details are not exposed to callers
- Reduce trust in externally supplied input through centralized validation and typed interfaces
How teams detect issues like this
Organizations can identify SQL injection risks through:
- Static analysis rules that flag string concatenation or interpolation in SQL execution paths
- Code review checks for unbound variables passed to database query APIs
- Testing that supplies unexpected metacharacters and verifies query structure remains unchanged
- Database activity monitoring for anomalous statements, privilege use, or access patterns
- Policy enforcement requiring parameterized queries or approved database access abstractions
- Automated security review tools that identify unsafe query construction patterns
