CVE-2026-26198

{"id": "CVE-2026-26198", "cveTags": [], "metrics": {"cvssMetricV31": [{"type": "Secondary", "source": "security-advisories@github.com", "cvssData": {"scope": "UNCHANGED", "version": "3.1", "baseScore": 9.8, "attackVector": "NETWORK", "baseSeverity": "CRITICAL", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H", "integrityImpact": "HIGH", "userInteraction": "NONE", "attackComplexity": "LOW", "availabilityImpact": "HIGH", "privilegesRequired": "NONE", "confidentialityImpact": "HIGH"}, "impactScore": 5.9, "exploitabilityScore": 3.9}, {"type": "Primary", "source": "nvd@nist.gov", "cvssData": {"scope": "UNCHANGED", "version": "3.1", "baseScore": 7.5, "attackVector": "NETWORK", "baseSeverity": "HIGH", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N", "integrityImpact": "NONE", "userInteraction": "NONE", "attackComplexity": "LOW", "availabilityImpact": "NONE", "privilegesRequired": "NONE", "confidentialityImpact": "HIGH"}, "impactScore": 3.6, "exploitabilityScore": 3.9}]}, "published": "2026-02-24T03:16:01.100", "references": [{"url": "https://github.com/collerek/ormar/commit/a03bae14fe01358d3eaf7e319fcd5db2e4956b16", "tags": ["Patch"], "source": "security-advisories@github.com"}, {"url": "https://github.com/collerek/ormar/releases/tag/0.23.0", "tags": ["Product", "Release Notes"], "source": "security-advisories@github.com"}, {"url": "https://github.com/collerek/ormar/security/advisories/GHSA-xxh2-68g9-8jqr", "tags": ["Exploit", "Vendor Advisory"], "source": "security-advisories@github.com"}], "vulnStatus": "Analyzed", "weaknesses": [{"type": "Primary", "source": "security-advisories@github.com", "description": [{"lang": "en", "value": "CWE-89"}]}], "descriptions": [{"lang": "en", "value": "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."}, {"lang": "es", "value": "Ormar es un mini ORM as\u00edncrono para Python. En las versiones 0.9.9 a 0.22.0, al realizar consultas agregadas, Ormar ORM construye expresiones SQL pasando los nombres de columna proporcionados por el usuario directamente a `sqlalchemy.text()` sin ninguna validaci\u00f3n o saneamiento. Los m\u00e9todos `min()` y `max()` en la clase `QuerySet` aceptan una entrada de cadena arbitraria como par\u00e1metro de columna. Mientras que `sum()` y `avg()` est\u00e1n parcialmente protegidos por una verificaci\u00f3n de tipo `is_numeric` que rechaza campos inexistentes, `min()` y `max()` omiten esta validaci\u00f3n por completo. Como resultado, una cadena controlada por el atacante se incrusta como SQL sin procesar dentro de la llamada a la funci\u00f3n agregada. Cualquier usuario no autorizado puede explotar esta vulnerabilidad para leer todo el contenido de la base de datos, incluidas las tablas no relacionadas con el modelo consultado, inyectando una subconsulta como par\u00e1metro de columna. La versi\u00f3n 0.23.0 contiene un parche."}], "lastModified": "2026-02-25T19:41:02.680", "configurations": [{"nodes": [{"negate": false, "cpeMatch": [{"criteria": "cpe:2.3:a:collerek:ormar:*:*:*:*:*:python:*:*", "vulnerable": true, "matchCriteriaId": "0CCC44C3-BA96-4145-BC7A-A312AC5E0621", "versionEndExcluding": "0.23.0", "versionStartIncluding": "0.9.9"}], "operator": "OR"}]}], "sourceIdentifier": "security-advisories@github.com"}