Ormar is a async mini ORM for Python. In versions 0.9.9 through 0.22.0, when performing aggregate queries, Ormar ORM constructs SQL expressions by passing user-supplied column names directly into sqlalchemy.text() without any validation or sanitization. The min() and max() methods in the QuerySet class accept arbitrary string input as the column parameter. While sum() and avg() are partially protected by an is_numeric type check that rejects non-existent fields, min() and max() skip this validation entirely. As a result, an attacker-controlled string is embedded as raw SQL inside the aggregate function call. Any unauthorized user can exploit this vulnerability to read the entire database contents, including tables unrelated to the queried model, by injecting a subquery as the column parameter. Version 0.23.0 contains a patch.