Ormar is an asynchronous Python ORM designed to simplify database interactions. In versions 0.9.9 through 0.22.0, a critical SQL injection vulnerability (CVE-2026-26198) exists in the implementation of aggregate query methods, specifically min() and max(). These methods accept a column name parameter as a string, which is directly passed into SQLAlchemy's text() function without any validation or sanitization. Unlike sum() and avg(), which perform partial type checks to ensure numeric fields, min() and max() skip these checks entirely. This design flaw enables an attacker to supply malicious SQL code as the column parameter, which is then embedded verbatim into the SQL query. Consequently, an unauthorized attacker can execute arbitrary SQL subqueries, allowing them to read data from any table in the database, not limited to the model being queried. The vulnerability requires no authentication or user interaction and can be exploited remotely if the application exposes the vulnerable query functionality. The flaw impacts confidentiality, integrity, and availability of data. The Ormar project addressed this issue in version 0.23.0 by implementing proper input validation and sanitization to prevent injection. No known exploits have been reported in the wild as of the publication date, but the critical CVSS 3.1 score of 9.8 reflects the high risk posed by this vulnerability.

The impact of CVE-2026-26198 is severe for organizations using affected versions of Ormar in their Python applications. Exploitation allows attackers to perform unauthorized SQL injection attacks that can lead to full database disclosure, including sensitive information across unrelated tables. This compromises data confidentiality and can lead to data integrity issues if attackers modify queries or data. The vulnerability also threatens availability if attackers execute destructive SQL commands or cause database errors. Since the flaw requires no authentication or user interaction, any exposed application endpoint using vulnerable Ormar versions is at risk. Organizations handling sensitive or regulated data (e.g., personal, financial, healthcare) face significant compliance and reputational risks. The widespread use of Python and ORMs in web applications means many organizations globally could be affected, especially those using async Python stacks with Ormar. The absence of known exploits does not diminish the urgency due to the ease of exploitation and critical severity.

To mitigate this vulnerability, organizations should immediately upgrade Ormar to version 0.23.0 or later, where the issue is patched. Until upgrading, avoid using the min() and max() aggregate methods with user-supplied input. Implement strict input validation and sanitization on any parameters that influence database queries, especially those passed to aggregate functions. Employ parameterized queries and avoid constructing SQL statements with raw user input. Conduct a thorough code audit to identify any usage of vulnerable Ormar versions and review query construction patterns. Additionally, implement database access controls and least privilege principles to limit the damage potential if exploitation occurs. Monitor application logs for unusual query patterns indicative of injection attempts. Consider deploying Web Application Firewalls (WAFs) with rules targeting SQL injection payloads as an additional layer of defense. Finally, educate developers on secure coding practices related to ORM usage and SQL injection prevention.