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GHSA-PX38-8QPQ-6GCQ

Vulnerability from github – Published: 2023-07-06 21:14 – Updated: 2024-04-04 05:45
VLAI
Details

Teltonika’s Remote Management System versions 4.14.0 is vulnerable to an unauthorized attacker registering previously unregistered devices through the RMS platform. If the user has not disabled the "RMS management feature" enabled by default, then an attacker could register that device to themselves. This could enable the attacker to perform different operations on the user's devices, including remote code execution with 'root' privileges (using the 'Task Manager' feature on RMS).

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-2586"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-287"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-05-22T16:15:09Z",
    "severity": "CRITICAL"
  },
  "details": "\nTeltonika\u2019s Remote Management System versions 4.14.0 is vulnerable to an unauthorized attacker registering previously unregistered devices through the RMS platform. If the user has not disabled the \"RMS management feature\" enabled by default, then an attacker could register that device to themselves. This could enable the attacker to perform different operations on the user\u0027s devices, including remote code execution with \u0027root\u0027 privileges (using the \u0027Task Manager\u0027 feature on RMS).\n\n",
  "id": "GHSA-px38-8qpq-6gcq",
  "modified": "2024-04-04T05:45:24Z",
  "published": "2023-07-06T21:14:59Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-2586"
    },
    {
      "type": "WEB",
      "url": "https://www.cisa.gov/news-events/ics-advisories/icsa-23-131-08"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/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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