Threat Intelligence Database

CVE-2026-27953 is a high-severity vulnerability in ormar, an async mini ORM for Python, affecting versions below 0.23.1. It allows unauthenticated attackers to bypass Pydantic model validation by injecting the "__pk_only__": true parameter in JSON request bodies, enabling direct persistence of unvalidated data to the database. A secondary injection parameter "__excluded__" can nullify arbitrary model fields, facilitating privilege escalation, data integrity violations, and business logic bypass. This vulnerability impacts applications using ormar. Model directly as a request body parameter, especially in FastAPI integrations following ormar's official documentation. The issue has been fixed in version 0.23.1.

HighVulnerabilityUnited StatesGermanyUnited Kingdom+7#cve#cve-2026-27953#cwe-915

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.

CriticalVulnerabilityUnited StatesGermanyUnited Kingdom+7#cve#cve-2026-26198#cwe-89