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GHSA-Q3X9-28F7-W8RC

Vulnerability from github – Published: 2022-05-24 16:55 – Updated: 2023-07-17 23:17
VLAI
Summary
Total.js CMS Unauthorized Access
Details

An issue was discovered in Total.js CMS 12.0.0. An authenticated user with limited privileges can get access to a resource that they do not own by calling the associated API. The product correctly manages privileges only for the front-end resource path, not for API requests. This leads to vertical and horizontal privilege escalation.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "npm",
        "name": "total4"
      },
      "versions": [
        "12.0"
      ]
    }
  ],
  "aliases": [
    "CVE-2019-15953"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-862"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2023-07-17T23:17:34Z",
    "nvd_published_at": "2019-09-05T19:16:00Z",
    "severity": "HIGH"
  },
  "details": "An issue was discovered in Total.js CMS 12.0.0. An authenticated user with limited privileges can get access to a resource that they do not own by calling the associated API. The product correctly manages privileges only for the front-end resource path, not for API requests. This leads to vertical and horizontal privilege escalation.",
  "id": "GHSA-q3x9-28f7-w8rc",
  "modified": "2023-07-17T23:17:34Z",
  "published": "2022-05-24T16:55:31Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2019-15953"
    },
    {
      "type": "WEB",
      "url": "https://github.com/beerpwn/CVE/blob/master/Totaljs_disclosure_report/report_final.pdf"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/totaljs/cms"
    },
    {
      "type": "WEB",
      "url": "https://seclists.org/fulldisclosure/2019/Sep/6"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Total.js CMS Unauthorized Access"
}



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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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