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CVE-2025-30294 (GCVE-0-2025-30294)

Vulnerability from cvelistv5 – Published: 2025-04-08 20:02 – Updated: 2025-09-04 15:23
VLAI
Title
ColdFusion | Improper Input Validation (CWE-20)
Summary
ColdFusion versions 2023.12, 2021.18, 2025.0 and earlier are affected by an Improper Input Validation vulnerability that could result in a security feature bypass. A high-privileged attacker could leverage this vulnerability to bypass security protections and gain unauthorized read access. Exploitation of this issue does not require user interaction and scope is changed.
Severity
6.8 (Medium)
CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:C/C:H/I:N/A:N
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-09-04 15:23 UTC
CWE
  • CWE-20 - Improper Input Validation (CWE-20)
Assigner
References
Impacted products
Vendor Product Version CPE status
Adobe ColdFusion Affected: 0 , ≤ 2025.0 (semver)
guessed Create a notification for this product.
Date Public
2025-04-08 17:00
Show details on NVD website
To clipboard 

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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

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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.


Detection rules are retrieved from Rulezet.


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.