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CVE-2023-51504 (GCVE-0-2023-51504)

Vulnerability from cvelistv5 – Published: 2024-02-05 05:40 – Updated: 2026-04-28 16:09
VLAI
Title
WordPress Dan's Embedder for Google Calendar Plugin <= 1.2 is vulnerable to Cross Site Scripting (XSS)
Summary
Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') vulnerability in Dan Dulaney Dan's Embedder for Google Calendar allows Stored XSS.This issue affects Dan's Embedder for Google Calendar: from n/a through 1.2.
Severity
6.5 (Medium)
CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:L
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-02-05 14:02 UTC
CWE
  • CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Assigner
References
Impacted products
Vendor Product Version CPE status
Dan Dulaney Dan's Embedder for Google Calendar Affected: n/a , ≤ 1.2 (custom)
guessed Create a notification for this product.
Credits
NGÔ THIÊN AN / ancorn_ from VNPT-VCI (Patchstack Alliance)
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.