CVE-2026-26198
Ormar is a async mini ORM for Python.
Published Feb 24, 2026 · corrected/updated Jun 17, 2026 · collerek ormar · evidence confidence medium
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 without any validation or sanitization. The and methods in the class accept arbitrary string input as the column parameter. While and are partially protected by an type check that rejects non-existent fields, and 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.
Grounded briefings
Catalog interpretations for three audiences. Each brief cites ingested metadata and the original advisories below. They are not independent research and they do not invent exploit steps.
Executive
CVE-2026-26198 is a high public vulnerability record for collerek ormar. It is not currently listed in the CISA Known Exploited catalog. Check the linked vendor or CERT advisories for patch status. This summary is a catalog interpretation of the ingested metadata and cites the original advisories below.
System administrator
Identify whether collerek ormar is in your estate, then compare installed versions with the affected ranges. Affected packages or ranges on record: collerek/ormar. Check the linked vendor or CERT advisories for patch status. Prefer the vendor or distribution advisory linked in Sources before changing production systems. This is a catalog interpretation, not a runbook.
Security analyst
Signals on file: CVSS 7.5. It is not currently listed in the CISA Known Exploited catalog. Weakness classes: CWE-89. Sources contributing to this record: cve_org, nvd. Public exploit references, when present, are outbound links only and are not proof of active exploitation. This is a catalog interpretation of stored metadata.
Exploitation and remediation
Exploitation evidence
Not listed as known exploited in CISA KEV. Not in CISA KEV or VulnCheck KEV.
Patch and remediation
No required-action text is stored yet. Use the vendor or CERT links in Sources for patch availability.
Safe detection guidance
Compare installed versions with the affected ranges below and verify the advisory from the original publisher. This site stores metadata and outbound links only; it does not ship exploit code or proof-of-concept payloads.
Code
The project this record applies to. Exploit listings stay in References.
Timeline
Detection, updates, and resolution for this record.
Feb 24, 2026 · NIST NVD
Detected
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 without any validation or sanitization. The and methods in the class accept arbitrary string input as the column parameter. While and are partially protected by an type check that rejects non-existent fie
Jun 17, 2026 · NIST NVD
Updated
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 without any validation or sanitization. The and methods in the class accept arbitrary string input as the column parameter. While and are partially protected by an type check that rejects non-existent fie
Affected
- cpe collerek/ormarversion unspecified
Sources
- CVE.orgVulnerability recordCVE-2026-26198
Official CVE identifier
cve.org - NIST NVDVulnerability recordCVE-2026-26198
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 without any validation or sanitization. The and
nvd.nist.gov