CVE-2026-44680 (GCVE-0-2026-44680)
Vulnerability from cvelistv5 – Published: 2026-05-26 16:49 – Updated: 2026-05-26 17:40
VLAI
EPSS
VEX
Title
MikroORM: SQL injection via runtime-controlled identifiers and JSON-path keys
Summary
MikroORM is a TypeScript ORM for Node.js based on Data Mapper, Unit of Work and Identity Map patterns. Prior to @mikro-orm/knex 6.6.14 and @mikro-orm/sql 7.0.14, MikroORM's identifier-quoting helper (Platform.quoteIdentifier and the postgres/mssql overrides) and its JSON-path emitters (Platform.getSearchJsonPropertyKey, quoteJsonKey) did not properly escape characters that delimit the SQL identifier or string-literal context they emit into. When application code passes attacker-influenced strings to public ORM APIs that expect an identifier or a JSON-property filter, an attacker can break out of the quoted context and inject arbitrary SQL. This vulnerability is fixed in @mikro-orm/knex 6.6.14 and @mikro-orm/sql 7.0.14.
Severity
7.6 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-05-26 17:40 UTC
CWE
- CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://github.com/mikro-orm/mikro-orm/security/a… | x_refsource_CONFIRM |
| https://github.com/mikro-orm/mikro-orm/pull/7653 | x_refsource_MISC |
| https://github.com/mikro-orm/mikro-orm/pull/7654 | x_refsource_MISC |
| https://github.com/mikro-orm/mikro-orm/pull/7656 | x_refsource_MISC |
| https://github.com/mikro-orm/mikro-orm/pull/7657 | x_refsource_MISC |
Impacted products
3 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| mikro-orm | mikro-orm |
Affected:
>= 7.0.0-rc.0, < 7.0.14
Affected: < 6.6.14 |
guessed | |
| @mikro-orm | knex |
Affected:
< 6.6.14
|
guessed | |
| @mikro-orm | sql |
Affected:
< 7.0.14
|
guessed |
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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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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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