GHSA-HXH3-588W-HVMJ

Vulnerability from github – Published: 2023-01-01 09:30 – Updated: 2023-01-09 18:30
VLAI
Details

A vulnerability, which was classified as critical, has been found in taoeffect Empress. Affected by this issue is some unknown functionality. The manipulation leads to use of hard-coded password. The name of the patch is 557e177d8a309d6f0f26de46efb38d43e000852d. It is recommended to apply a patch to fix this issue. VDB-217154 is the identifier assigned to this vulnerability.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2014-125030"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-259",
      "CWE-798"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-01-01T09:15:00Z",
    "severity": "CRITICAL"
  },
  "details": "A vulnerability, which was classified as critical, has been found in taoeffect Empress. Affected by this issue is some unknown functionality. The manipulation leads to use of hard-coded password. The name of the patch is 557e177d8a309d6f0f26de46efb38d43e000852d. It is recommended to apply a patch to fix this issue. VDB-217154 is the identifier assigned to this vulnerability.",
  "id": "GHSA-hxh3-588w-hvmj",
  "modified": "2023-01-09T18:30:32Z",
  "published": "2023-01-01T09:30:20Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2014-125030"
    },
    {
      "type": "WEB",
      "url": "https://github.com/taoeffect/empress/pull/61"
    },
    {
      "type": "WEB",
      "url": "https://github.com/taoeffect/empress/commit/557e177d8a309d6f0f26de46efb38d43e000852d"
    },
    {
      "type": "WEB",
      "url": "https://vuldb.com/?ctiid.217154"
    },
    {
      "type": "WEB",
      "url": "https://vuldb.com/?id.217154"
    }
  ],
  "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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Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
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