CVE-2025-23041 (GCVE-0-2025-23041)
Vulnerability from cvelistv5 – Published: 2025-01-14 18:54 – Updated: 2025-01-14 20:44
VLAI
EPSS
VEX
Title
Short and Long Answer Fields Are Not Validated Server-Side For Maximum Length in Umbraco.Forms
Summary
Umbraco.Forms is a web form framework written for the nuget ecosystem. Character limits configured by editors for short and long answer fields are validated only client-side, not server-side. This issue has been patched in versions 8.13.16, 10.5.7, 13.2.2, and 14.1.2. Users are advised to upgrade. There are no known workarounds for this issue.
Severity
5.8 (Medium)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-01-14 20:43 UTC
CWE
- CWE-20 - Improper Input Validation
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/umbraco/Umbraco.Forms.Issues/s… | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| umbraco | Umbraco.Forms.Issues |
Affected:
< 8.13.16
Affected: >= 10.0.0, < 10.5.7 Affected: >= 11.0.0, < 13.2.2 Affected: >= 14.0.0, < 14.1.2 |
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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