GHSA-VH5P-6RCM-5X83

Vulnerability from github – Published: 2024-11-25 21:30 – Updated: 2024-11-27 18:34
VLAI
Details

A NoSQL injection vulnerability in Adapt Learning Adapt Authoring Tool <= 0.11.3 allows unauthenticated attackers to reset user and administrator account passwords via the "Reset password" feature. The vulnerability occurs due to insufficient validation of user input, which is used as a query in Mongoose's find() function. This makes it possible for attackers to perform a full takeover of the administrator account. Attackers can then use the newly gained administrative privileges to upload a custom plugin to perform remote code execution (RCE) on the server hosting the web application.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2024-50672"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-89"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-11-25T21:15:19Z",
    "severity": "CRITICAL"
  },
  "details": "A NoSQL injection vulnerability in Adapt Learning Adapt Authoring Tool \u003c= 0.11.3 allows unauthenticated attackers to reset user and administrator account passwords via the \"Reset password\" feature. The vulnerability occurs due to insufficient validation of user input, which is used as a query in Mongoose\u0027s find() function. This makes it possible for attackers to perform a full takeover of the administrator account. Attackers can then use the newly gained administrative privileges to upload a custom plugin to perform remote code execution (RCE) on the server hosting the web application.",
  "id": "GHSA-vh5p-6rcm-5x83",
  "modified": "2024-11-27T18:34:03Z",
  "published": "2024-11-25T21:30:50Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-50672"
    },
    {
      "type": "WEB",
      "url": "https://github.com/adaptlearning/adapt_authoring"
    },
    {
      "type": "WEB",
      "url": "https://github.com/dos-m0nk3y/CVE/tree/main/CVE-2024-50672"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "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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