GHSA-XMQ9-MFWM-HG4M

Vulnerability from github – Published: 2026-07-31 09:31 – Updated: 2026-07-31 21:31
VLAI
Details

WP Photo Album Plus is vulnerable to stored Cross-Site Scripting in all versions up to, and including, 9.2.03.001 through a decode-after-sanitize (double-encoding) flaw in the photo-comment pipeline. On write, wppa_do_comment() sanitizes the comment with wppa_filter_html() (wp_kses) followed by wp_strip_all_tags() (wppa-functions.php:2623-2624). Because wp_strip_all_tags() only removes real tags, an attacker who submits a double HTML-entity-encoded payload (e.g. <img src=... onload=...>) passes the write filters as harmless entity text and is stored one decode-level down (<img ... onload=...>).

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-14922"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-79"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-07-31T07:16:26Z",
    "severity": "MODERATE"
  },
  "details": "WP Photo Album Plus is vulnerable to stored Cross-Site Scripting in all versions up to, and including, 9.2.03.001 through a decode-after-sanitize (double-encoding) flaw in the photo-comment pipeline. On write, `wppa_do_comment()` sanitizes the comment with `wppa_filter_html()` (wp_kses) followed by `wp_strip_all_tags()` (`wppa-functions.php:2623-2624`). Because `wp_strip_all_tags()` only removes *real* tags, an attacker who submits a **double HTML-entity-encoded** payload (e.g. `\u0026amp;lt;img src=... onload=...\u0026amp;gt;`) passes the write filters as harmless entity text and is stored one decode-level down (`\u0026lt;img ... onload=...\u0026gt;`).",
  "id": "GHSA-xmq9-mfwm-hg4m",
  "modified": "2026-07-31T21:31:53Z",
  "published": "2026-07-31T09:31:17Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-14922"
    },
    {
      "type": "WEB",
      "url": "https://wpscan.com/vulnerability/ca9f99eb-221a-417e-b18f-0a8b8b513f2e"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/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.

Sightings

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Nomenclature

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