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GHSA-5H4V-FJX7-95CQ

Vulnerability from github – Published: 2023-06-02 06:30 – Updated: 2024-11-01 00:31
VLAI
Details

Missing Password Field Masking vulnerability in Mitsubishi Electric Corporation EtherNet/IP configuration tools SW1DNN-EIPCT-BD and SW1DNN-EIPCTFX5-BD allows a remote unauthenticated attacker to know the password for MELSEC iQ-R Series EtherNet/IP module RJ71EIP91 and MELSEC iQ-F Series EtherNet/IP module FX5-ENET/IP. This vulnerability results in authentication bypass vulnerability, which allows the attacker to access MELSEC iQ-R Series EtherNet/IP module RJ71EIP91 and MELSEC iQ-F Series EtherNet/IP module FX5-ENET/IP via FTP.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-2062"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-549",
      "CWE-668"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-06-02T05:15:10Z",
    "severity": "MODERATE"
  },
  "details": "Missing Password Field Masking vulnerability in Mitsubishi Electric Corporation EtherNet/IP configuration tools SW1DNN-EIPCT-BD and SW1DNN-EIPCTFX5-BD allows a remote unauthenticated attacker to know the password for MELSEC iQ-R Series EtherNet/IP module RJ71EIP91 and MELSEC iQ-F Series EtherNet/IP module FX5-ENET/IP. This vulnerability results in authentication bypass vulnerability, which allows the attacker to access MELSEC iQ-R Series EtherNet/IP module RJ71EIP91 and MELSEC iQ-F Series EtherNet/IP module FX5-ENET/IP via FTP.",
  "id": "GHSA-5h4v-fjx7-95cq",
  "modified": "2024-11-01T00:31:59Z",
  "published": "2023-06-02T06:30:36Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-2062"
    },
    {
      "type": "WEB",
      "url": "https://jvn.jp/vu/JVNVU92908006"
    },
    {
      "type": "WEB",
      "url": "https://www.cisa.gov/news-events/ics-advisories/icsa-23-157-02"
    },
    {
      "type": "WEB",
      "url": "https://www.mitsubishielectric.co.jp/psirt/vulnerability/pdf/2023-004.pdf"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
      "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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