GHSA-46CX-5VWQ-G5Q3

Vulnerability from github – Published: 2026-06-09 06:31 – Updated: 2026-06-09 06:31
VLAI
Details

The jQuery Hover Footnotes plugin for WordPress is vulnerable to Stored Cross-Site Scripting via Footnote Qualifier ('{{...}}' Syntax) in all versions up to, and including, 1.4 due to insufficient input sanitization and output escaping. This makes it possible for authenticated attackers, with author-level access and above, to inject arbitrary web scripts in pages that will execute whenever a user accesses an injected page. The attribute-breakout payload (e.g., a double-quote followed by an event handler) contains no angle brackets and therefore bypasses WordPress core's wp_kses_post() filtering, which only strips disallowed HTML tags rather than sanitizing attribute contexts.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-10738"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-79"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-06-09T05:16:29Z",
    "severity": "MODERATE"
  },
  "details": "The jQuery Hover Footnotes plugin for WordPress is vulnerable to Stored Cross-Site Scripting via Footnote Qualifier (\u0027{{...}}\u0027 Syntax) in all versions up to, and including, 1.4 due to insufficient input sanitization and output escaping. This makes it possible for authenticated attackers, with author-level access and above, to inject arbitrary web scripts in pages that will execute whenever a user accesses an injected page. The attribute-breakout payload (e.g., a double-quote followed by an event handler) contains no angle brackets and therefore bypasses WordPress core\u0027s wp_kses_post() filtering, which only strips disallowed HTML tags rather than sanitizing attribute contexts.",
  "id": "GHSA-46cx-5vwq-g5q3",
  "modified": "2026-06-09T06:31:56Z",
  "published": "2026-06-09T06:31:56Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-10738"
    },
    {
      "type": "WEB",
      "url": "https://plugins.trac.wordpress.org/browser/jquery-hover-footnotes/trunk/jqFootnotes.php#L213"
    },
    {
      "type": "WEB",
      "url": "https://plugins.trac.wordpress.org/browser/jquery-hover-footnotes/trunk/jqFootnotes.php#L222"
    },
    {
      "type": "WEB",
      "url": "https://plugins.trac.wordpress.org/browser/jquery-hover-footnotes/trunk/jqFootnotes.php#L235"
    },
    {
      "type": "WEB",
      "url": "https://plugins.trac.wordpress.org/browser/jquery-hover-footnotes/trunk/jqFootnotes.php#L246"
    },
    {
      "type": "WEB",
      "url": "https://www.wordfence.com/threat-intel/vulnerabilities/id/b02bdf2a-1d99-4cc3-8f75-822ff0792e44?source=cve"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:L/A:N",
      "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.

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