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CVE-2026-89327 (GCVE-0-2026-89327)

Vulnerability from cvelistv5 – Published: 2026-09-16 06:00 – Updated: 2026-09-17 12:31
VLAI
Title
FluentBoards < 2.0.15 - Board Member+ Comment Author Spoofing via 'comment_by' Parameter
Summary
The FluentBoards WordPress plugin before 2.0.15 does not verify that a board member submitting a comment is the user the comment is attributed to, allowing any board member to post comments that appear to be authored by another user, including administrators.
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-17 12:14 UTC
CWE
References
URL Tags
https://wpscan.com/vulnerability/aaeff6e8-eca5-4d… exploitvdb-entrytechnical-description
Impacted products
Vendor Product Version CPE status
Unknown FluentBoards Affected: 0 , < 2.0.15 (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.
  • 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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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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