CVE-2026-89267 in starlette-admin
Summary
by MITRE • 09/12/2026
starlette-admin versions 0.16.1 through 0.17.1 fail to enforce the searchable_fields allowlist when configured as an empty list, allowing authenticated users to filter on non-searchable fields. Attackers can submit structured filter queries via the list API's where parameter to perform equality and comparison operations on excluded columns.
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Analysis
by VulDB Data Team • 09/12/2026
The vulnerability in starlette-admin versions 0.16.1 through 0.17.1 represents a critical failure in access control logic, specifically within the implementation of field-level security for search functionality. The core issue stems from an incorrect evaluation of configuration parameters when defining searchable fields. When administrators configure the searchable_fields attribute as an empty list to explicitly restrict or disable searching capabilities, the underlying code fails to enforce this restriction. Instead of treating an empty allowlist as a directive to prohibit all filtering operations on non-default search columns, the system inadvertently bypasses the validation logic. This misconfiguration allows authenticated users to exploit the API endpoint responsible for listing resources by injecting structured filter queries into the where parameter. The flaw essentially creates a situation where security policies defined at the configuration level are ignored during runtime execution, leading to an authorization bypass that affects data integrity and confidentiality depending on the sensitivity of the exposed fields.
From a technical perspective, this vulnerability is classified under CWE-284 Improper Access Control because it involves a failure to properly restrict access to specific resources or functions based on defined security policies. The attacker leverages the list API's where parameter, which is designed for filtering results, to perform equality and comparison operations such as equals, greater than, less than, or contains against columns that were explicitly excluded from searchability by the application administrator. This capability allows an authenticated user to query data fields that should remain hidden or inaccessible through standard administrative interfaces. The vulnerability does not require authentication bypass since it relies on valid credentials; rather, it exploits a logic error within the authorization checks for specific API actions. By submitting crafted JSON payloads containing these filter conditions, attackers can retrieve sensitive information such as internal identifiers, status flags, financial data, or other proprietary details that were intended to be protected from general administrative search operations.
The operational impact of this vulnerability is significant in environments where starlette-admin is used to manage databases with varying levels of data sensitivity. Attackers who gain authenticated access to the application can enumerate and extract data from restricted columns without triggering typical security alerts associated with brute-force or unauthorized login attempts. This capability facilitates information disclosure, which can serve as a precursor for more severe attacks such as privilege escalation if sensitive configuration details are exposed, or social engineering campaigns using harvested personal identifiable information. In multi-tenant applications, this flaw could potentially allow one tenant to infer data structures belonging to another if the filtering logic is not properly isolated per tenant context. The ability to perform comparison operations also enables attackers to conduct time-based inference attacks or boolean-based blind SQL injection techniques against the underlying database layer, further expanding the attack surface beyond simple data retrieval.
Mitigation strategies for this vulnerability primarily involve upgrading to a patched version of starlette-admin where the empty list check is correctly implemented to enforce strict filtering restrictions. Until an upgrade can be performed, administrators should implement compensating controls at the network or reverse proxy level by restricting access to the affected API endpoints based on IP whitelisting if feasible. Additionally, input validation and sanitization mechanisms should be strengthened in custom middleware layers to detect and block structured filter queries that target non-searchable fields. Monitoring logs for unusual patterns of filtering requests against restricted columns can also aid in early detection of exploitation attempts. It is crucial to review the application's security configuration to ensure that all allowlists are validated not only during initialization but also at runtime before any database query execution occurs, ensuring that explicit restrictions such as empty lists are treated as absolute prohibitions rather than optional configurations.