CVE-2026-87786 (GCVE-0-2026-87786)

Vulnerability from cvelistv5 – Published: 2026-09-17 06:00 – Updated: 2026-09-17 12:28
VLAI
Title
Dewa Kirim <= 1.0.0 - Unauthenticated Stored XSS via Checkout Coordinates
Summary
The Dewa Kirim WordPress plugin through 1.0.0 does not escape delivery coordinates submitted at checkout before outputting them inside an inline script, allowing unauthenticated users to store JavaScript that runs in the session of an administrator who later opens the order.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-17 12:12 UTC
CWE
References
URL Tags
https://wpscan.com/vulnerability/bb94cded-6ec1-48… exploitvdb-entrytechnical-description
Impacted products
Vendor Product Version CPE status
Unknown Dewa Kirim 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.
  • 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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