GHSA-P2J4-VRGX-96QG

Vulnerability from github – Published: 2022-05-17 02:43 – Updated: 2025-04-22 18:43
VLAI
Summary
MODX Revolution XSS via HTTP Host header
Details

In MODX Revolution before 2.5.7, an attacker might be able to trigger XSS by injecting a payload into the HTTP Host header of a request. This is exploitable only in conjunction with other issues such as Cache Poisoning.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "Packagist",
        "name": "modx/revolution"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.5.7"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2017-9071"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-79"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2025-04-22T18:43:57Z",
    "nvd_published_at": "2017-05-18T16:29:00Z",
    "severity": "MODERATE"
  },
  "details": "In MODX Revolution before 2.5.7, an attacker might be able to trigger XSS by injecting a payload into the HTTP Host header of a request. This is exploitable only in conjunction with other issues such as Cache Poisoning.",
  "id": "GHSA-p2j4-vrgx-96qg",
  "modified": "2025-04-22T18:43:57Z",
  "published": "2022-05-17T02:43:14Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2017-9071"
    },
    {
      "type": "WEB",
      "url": "https://github.com/modxcms/revolution/pull/13426"
    },
    {
      "type": "WEB",
      "url": "https://citadelo.com/en/2017/04/modx-revolution-cms"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/modxcms/revolution"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:H/PR:N/UI:R/S:C/C:L/I:L/A:N",
      "type": "CVSS_V3"
    }
  ],
  "summary": "MODX Revolution XSS via HTTP Host header"
}



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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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