GHSA-GJF2-7V5H-4JF9

Vulnerability from github – Published: 2026-08-04 09:31 – Updated: 2026-08-04 15:32
VLAI
Details

The GDPR Framework By Data443 WordPress plugin before 2.4.0 does not properly verify authorization or the identity of the data subject when recording cookie-consent choices and privacy requests, allowing unauthenticated attackers to forge consent records for arbitrary email addresses and to flood the site's privacy-request queue with arbitrary entries.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-14816"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-284"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-08-04T07:16:28Z",
    "severity": "MODERATE"
  },
  "details": "The GDPR Framework By Data443 WordPress plugin before 2.4.0 does not properly verify authorization or the identity of the data subject when recording cookie-consent choices and privacy requests, allowing unauthenticated attackers to forge consent records for arbitrary email addresses and to flood the site\u0027s privacy-request queue with arbitrary entries.",
  "id": "GHSA-gjf2-7v5h-4jf9",
  "modified": "2026-08-04T15:32:21Z",
  "published": "2026-08-04T09:31:34Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-14816"
    },
    {
      "type": "WEB",
      "url": "https://wpscan.com/vulnerability/72af92a2-afe6-4e5a-9a1a-6f6e97bbcd85"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:L",
      "type": "CVSS_V3"
    }
  ]
}



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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

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  • Confirmed: The vulnerability has been validated from an analyst's perspective.
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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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