CVE-2022-31114 (GCVE-0-2022-31114)
Vulnerability from cvelistv5 – Published: 2026-06-03 14:41 – Updated: 2026-06-03 16:01
VLAI
EPSS
VEX
Title
backpack/crud Vulnerable to Cross-site Scripting
Summary
backpack/crud provides Create, Read, Update & Delete (CRUD) functions for Backpack, a collection of Laravel packages that help users build custom administration panels. Versions prior to 5.0.13, 4.1.69, and 4.0.63 are vulnerable to cross-site scripting. An attacker could conduct a targeted phishing campaign, in order to trick users or admins into clicking a malicious link, which under very specific circumstances could give them information or possibly admin access. Versions 5.0.13, 4.1.69, and 4.0.63 patch the issue. As a workaround, manually look inside error views in `resources/views/errors` and output `e($exception->getMessage())` instead of `$exception->getMessage()`.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-06-03 16:01 UTC
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/Laravel-Backpack/CRUD/security… | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Laravel-Backpack | CRUD |
Affected:
>= 5.0.0, < 5.0.13
Affected: >= 4.0.0, < 4.1.69 Affected: < 4.0.63 |
guessed |
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},
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"value": "backpack/crud proporciona funciones de Crear, Leer, Actualizar y Eliminar (CRUD) para Backpack, una colecci\u00f3n de paquetes de Laravel que ayudan a los usuarios a construir paneles de administraci\u00f3n personalizados. Las versiones anteriores a 5.0.13, 4.1.69 y 4.0.63 son vulnerables a cross-site scripting. Un atacante podr\u00eda llevar a cabo una campa\u00f1a de phishing dirigida, para enga\u00f1ar a usuarios o administradores para que hagan clic en un enlace malicioso, lo que bajo circunstancias muy espec\u00edficas podr\u00eda darles informaci\u00f3n o posiblemente acceso de administrador. Las versiones 5.0.13, 4.1.69 y 4.0.63 parchean el problema. Como soluci\u00f3n alternativa, busque manualmente dentro de las vistas de error en \u0027resources/views/errors\u0027 y genere \u0027e($exception-\u003egetMessage())\u0027 en lugar de \u0027$exception-\u003egetMessage()\u0027."
}
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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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