CVE-2026-47931 (GCVE-0-2026-47931)
Vulnerability from cvelistv5 – Published: 2026-06-09 20:33 – Updated: 2026-06-23 21:53
VLAI
EPSS
VEX
Title
ColdFusion | Improper Input Validation (CWE-20)
Summary
ColdFusion versions 2023.19, 2025.8 and earlier are affected by an Improper Input Validation vulnerability that could result in arbitrary code execution in the context of the current user. An attacker with high privileges could exploit this vulnerability to execute arbitrary code. Exploitation of this issue does not require user interaction. Scope is changed.
Severity
8.4 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-20 - Improper Input Validation (CWE-20)
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://helpx.adobe.com/security/products/coldfus… | vendor-advisory |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Adobe | ColdFusion |
Affected:
0 , ≤ 2025.8
(semver)
|
Date Public
2026-06-09 17:00
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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.
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