CVE-2026-84993 (GCVE-0-2026-84993)
Vulnerability from cvelistv5 – Published: 2026-09-16 16:28 – Updated: 2026-09-16 17:42
VLAI
EPSS
VEX
Title
MikroORM: SQL injection via unvalidated order direction in orderBy
Summary
MikroORM is a TypeScript ORM for Node.js based on Data Mapper, Unit of Work and Identity Map patterns. Prior to 6.6.16 and 7.1.7, the shared SQL layer validates the field key of an orderBy clause but does not validate its direction value before AbstractSqlPlatform.getOrderByExpression concatenates it into an ORDER BY clause. Applications that bind attacker-controlled request data to the direction in em.find(), em.findOne(), em.findAndCount(), QueryBuilder.orderBy(), or QueryBuilderHelper.getQueryOrderFromObject() can permit a raw SQL fragment that performs blind or boolean extraction of data available to the database account. The BaseMySqlPlatform and MsSqlPlatform fallthrough paths have the same behavior, affecting SQLite, PostgreSQL, MySQL, MariaDB, MSSQL, libSQL, and Oracle drivers, while MongoDB is not affected. This issue is fixed in versions 6.6.16 and 7.1.7.
Severity
6.5 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-16 17:41 UTC
CWE
- CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
Assigner
References
7 references
| URL | Tags |
|---|---|
| https://github.com/mikro-orm/mikro-orm/security/a… | x_refsource_CONFIRM |
| https://github.com/mikro-orm/mikro-orm/pull/7996 | x_refsource_MISC |
| https://github.com/mikro-orm/mikro-orm/pull/7997 | x_refsource_MISC |
| https://github.com/mikro-orm/mikro-orm/commit/3ab… | x_refsource_MISC |
| https://github.com/mikro-orm/mikro-orm/commit/89e… | x_refsource_MISC |
| https://github.com/mikro-orm/mikro-orm/releases/t… | x_refsource_MISC |
| https://github.com/mikro-orm/mikro-orm/releases/t… | x_refsource_MISC |
Impacted products
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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