GHSA-PF9G-3VW7-VGQF

Vulnerability from github – Published: 2026-08-05 12:31 – Updated: 2026-08-05 12:31
VLAI
Details

299Ko's public contact form (plugin/contact/controllers/ContactController.php, home()) sets raw POST field values (name, firstname, email, message) into the page template with no sanitization. The template engine's variable output function (common/Template.php, _show_var()) echoes values with no htmlspecialchars() call, and the sink template (contact.tpl) outputs these values unescaped into an HTML attribute and a textarea. An unauthenticated attacker can submit a payload such as name=">alert(document.domain) to achieve reflected XSS against any visitor who submits or is tricked into auto-submitting the form, including a targeted administrator, enabling session token theft.

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{
  "affected": [],
  "aliases": [
    "CVE-2026-71249"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-79"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-08-05T11:16:27Z",
    "severity": "MODERATE"
  },
  "details": "299Ko\u0027s public contact form (plugin/contact/controllers/ContactController.php, home()) sets raw POST field values (name, firstname, email, message) into the page template with no sanitization. The template engine\u0027s variable output function (common/Template.php, _show_var()) echoes values with no htmlspecialchars() call, and the sink template (contact.tpl) outputs these values unescaped into an HTML attribute and a textarea. An unauthenticated attacker can submit a payload such as name=\"\u003e\u003cscript\u003ealert(document.domain)\u003c/script\u003e to achieve reflected XSS against any visitor who submits or is tricked into auto-submitting the form, including a targeted administrator, enabling session token theft.",
  "id": "GHSA-pf9g-3vw7-vgqf",
  "modified": "2026-08-05T12:31:32Z",
  "published": "2026-08-05T12:31:32Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-71249"
    },
    {
      "type": "WEB",
      "url": "https://github.com/search?q=299ko\u0026type=repositories"
    }
  ],
  "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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