CVE-2026-89300 (GCVE-0-2026-89300)

Vulnerability from cvelistv5 – Published: 2026-09-28 06:00 – Updated: 2026-09-28 06:00
VLAI
Title
WP Verify API <= 1.0.0 - Unauthenticated Verification Code Email Sending to Arbitrary Recipients
Summary
The WP Verify API WordPress plugin through 1.0.0 does not have any authorisation check in one of its REST routes, allowing unauthenticated users to insert arbitrary data into its own database table, as well as to make the site send templated verification emails to arbitrary email addresses. The route is not rate limited either.
Severity
No CVSS data available.
CWE
Assigner
References
URL Tags
https://wpscan.com/vulnerability/a5ad8171-83c1-4c… exploitvdb-entrytechnical-description
Impacted products
Vendor Product Version CPE status
Unknown WP Verify API Affected: 0 , ≤ 1.0.0 (semver)
guessed Create a notification for this product.
Credits
RIA Labs WPScan
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.



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.