GHSA-FW7J-849M-MPV4

Vulnerability from github – Published: 2022-05-24 19:20 – Updated: 2024-03-21 03:34
VLAI
Details

** DISPUTED ** KNX ETS6 through 6.0.0 uses the hard-coded password ETS5Password, with a salt value of Ivan Medvedev, allowing local users to read project information, a similar issue to CVE-2021-36799. NOTE: The vendor disputes this because it is not the responsibility of the ETS to securely store cryptographic key material when it is not being exported.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2021-43575"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-798"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2021-11-09T23:15:00Z",
    "severity": "MODERATE"
  },
  "details": "** DISPUTED ** KNX ETS6 through 6.0.0 uses the hard-coded password ETS5Password, with a salt value of Ivan Medvedev, allowing local users to read project information, a similar issue to CVE-2021-36799. NOTE: The vendor disputes this because it is not the responsibility of the ETS to securely store cryptographic key material when it is not being exported.",
  "id": "GHSA-fw7j-849m-mpv4",
  "modified": "2024-03-21T03:34:08Z",
  "published": "2022-05-24T19:20:26Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-43575"
    },
    {
      "type": "WEB",
      "url": "https://github.com/robertguetzkow/ets5-password-recovery"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/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.

Sightings

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

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.


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