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CVE-2025-14062 (GCVE-0-2025-14062)

Vulnerability from cvelistv5 – Published: 2025-12-12 03:20 – Updated: 2026-04-08 17:21
VLAI
Title
Animated Pixel Marquee Creator <= 1.0.0 - Cross-Site Request Forgery via 'marquee' Parameter
Summary
The Animated Pixel Marquee Creator plugin for WordPress is vulnerable to Cross-Site Request Forgery via the 'marquee' parameter in all versions up to, and including, 1.0.0. This is due to missing nonce validation on the marquee deletion function. This makes it possible for unauthenticated attackers to delete arbitrary marquees via a forged request granted they can trick a site administrator into performing an action such as clicking on a link.
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-12-12 16:21 UTC
CWE
  • CWE-352 - Cross-Site Request Forgery (CSRF)
Impacted products
Vendor Product Version CPE status
tekafran Animated Pixel Marquee Creator Affected: 0 , ≤ 1.0.0 (semver)
guessed Create a notification for this product.
Show details on NVD website

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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

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.
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  • 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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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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