CVE-2026-55634 (GCVE-0-2026-55634)
Vulnerability from cvelistv5 – Published: 2026-08-28 19:16 – Updated: 2026-08-28 20:06
VLAI
EPSS
VEX
Title
Pimcore: Remote Code Execution via DataObject Class-Definition Field Name
Summary
Pimcore is an Open Source Data & Experience Management Platform. Prior to 11.5.19, 12.3.10, and 2026.1.6, the class-definition import endpoint /pimcore-studio/api/class/definition/configuration-view/detail/{id}/import accepts a DataObject field name that is emitted without an identifier allowlist by lib/DataObject/ClassBuilder/FieldDefinitionPropertiesBuilder.php into generated PHP properties and by models/DataObject/ClassDefinition/Helper/Dao.php into ALTER TABLE identifiers. An authenticated user with the objects permission can inject PHP syntax into the generated DataObject class, causing attacker-controlled code in generated var/classes/DataObject/.php files to run when an object of that class is instantiated, and can also inject SQL identifier content into schema-changing statements. The central models/DataObject/ClassDefinition/Data.php::setName() validation did not reject semicolons, braces, backticks, spaces, or other non-identifier characters. This issue is fixed in versions 11.5.19, 12.3.10, and 2026.1.6.
Severity
9.9 (Critical)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-28 20:06 UTC
CWE
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://github.com/pimcore/pimcore/security/advis… | x_refsource_CONFIRM |
| https://github.com/pimcore/pimcore/pull/19183 | x_refsource_MISC |
| https://github.com/pimcore/pimcore/commit/a4f8c3c… | x_refsource_MISC |
| https://github.com/advisories/GHSA-r2f4-ff2p-xc64 | x_refsource_MISC |
| https://github.com/pimcore/pimcore/releases/tag/v… | 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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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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