GHSA-2WFG-X9MX-MRX5

Vulnerability from github – Published: 2022-05-24 17:10 – Updated: 2022-05-24 17:10
VLAI
Details

ARRIS TG1692A devices allow remote attackers to discover the administrator login name and password by reading the /login page and performing base64 decoding.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2020-9476"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-522"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2020-03-04T19:15:00Z",
    "severity": "MODERATE"
  },
  "details": "ARRIS TG1692A devices allow remote attackers to discover the administrator login name and password by reading the /login page and performing base64 decoding.",
  "id": "GHSA-2wfg-x9mx-mrx5",
  "modified": "2022-05-24T17:10:09Z",
  "published": "2022-05-24T17:10:09Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2020-9476"
    },
    {
      "type": "WEB",
      "url": "https://arris.secure.force.com/consumers/ConsumerProductSupport"
    },
    {
      "type": "WEB",
      "url": "https://medium.com/@rsantos_14778/info-disclosure-cve-2020-9476-494a08298c6b"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}



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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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Nomenclature

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