CVE-2026-26198
CWE-89Published: February 24, 2026· Updated: Feb 25, 2026
Official Description
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.
Technical Analysis
CVE-2026-26198 can be exploited remotely over the network without requiring physical or adjacent access, significantly expanding the attack surface for threat actors.
The vulnerability requires no privileges and no user interaction, making it a prime target for automated exploitation campaigns and worm-like propagation.
A successful exploit results in complete confidentiality breach (data exposure), with a CVSS base score of 7.5.
A proof-of-concept (PoC) exploit exists for CVE-2026-26198. While not yet confirmed in active campaigns, the availability of PoC code increases exploitation risk substantially.
From a weakness classification perspective (CWE-89): SQL injection vulnerabilities allow attackers to manipulate database queries, potentially exposing or modifying sensitive data.
CVSS v3.1 Vector Breakdown
Affected Vendors & Products
Exploit & PoC Resources
Official Patches & Advisories
All References (3)
Quick Facts
Related CVEs (CWE-89)
Recommended Actions
- →Apply vendor patches immediately
- →Monitor CVE-2026-26198 in threat intel feeds
- →Review IDS/IPS signatures for exploitation attempts