GSD-2023-47552

Vulnerability from gsd - Updated: 2023-12-13 01:20
Details
Cross-Site Request Forgery (CSRF) vulnerability in Labib Ahmed Image Hover Effects – WordPress Plugin.This issue affects Image Hover Effects – WordPress Plugin: from n/a through 5.5.
Aliases
Aliases
CVE-2023-47552
To clipboard 

{
  "GSD": {
    "alias": "CVE-2023-47552",
    "id": "GSD-2023-47552"
  },
  "gsd": {
    "metadata": {
      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
      "type": "vulnerability"
    },
    "osvSchema": {
      "aliases": [
        "CVE-2023-47552"
      ],
      "details": "Cross-Site Request Forgery (CSRF) vulnerability in Labib Ahmed Image Hover Effects \u2013 WordPress Plugin.This issue affects Image Hover Effects \u2013 WordPress Plugin: from n/a through 5.5.\n\n",
      "id": "GSD-2023-47552",
      "modified": "2023-12-13T01:20:51.674370Z",
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                          "version_affected": "\u003c=",
                          "version_name": "n/a",
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      "lastModifiedDate": "2023-11-24T18:49Z",
      "publishedDate": "2023-11-18T22:15Z"
    }
  }
}



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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.
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  • 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.