FKIE_CVE-2022-23129

Vulnerability from fkie_nvd - Published: 2022-01-21 19:15 - Updated: 2026-06-17 04:29
Summary
Plaintext Storage of a Password vulnerability in Mitsubishi Electric MC Works64 versions 4.04E (10.95.210.01) and prior and ICONICS GENESIS64 versions 10.90 to 10.97 allows a local authenticated attacker to gain authentication information and to access the database illegally. This is because when configuration information of GridWorX, a database linkage function of GENESIS64 and MC Works64, is exported to a CSV file, the authentication information is saved in plaintext, and an attacker who can access this CSV file can gain the authentication information.
Impacted products
Vendor Product Version
iconics genesis64 *
mitsubishielectric mc_works64 *

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "Mitsubishi Electric MC Works64; ICONICS GENESIS64",
          "vendor": "n/a",
          "versions": [
            {
              "status": "affected",
              "version": "Mitsubishi Electric MC Works64 versions 4.04E (10.95.210.01) and prior"
            },
            {
              "status": "affected",
              "version": "ICONICS GENESIS64 versions 10.90 to 10.97"
            }
          ]
        }
      ],
      "source": "Mitsubishielectric.Psirt@yd.MitsubishiElectric.co.jp"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:iconics:genesis64:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "244286B8-A94E-451A-A79F-895B01BCE0FB",
              "versionEndIncluding": "10.97",
              "versionStartIncluding": "10.90",
              "vulnerable": true
            },
            {
              "criteria": "cpe:2.3:a:mitsubishielectric:mc_works64:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "D31E1BFD-8194-4BA1-998B-BC4005454C15",
              "versionEndExcluding": "10.95.210.01",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "Plaintext Storage of a Password vulnerability in Mitsubishi Electric MC Works64 versions 4.04E (10.95.210.01) and prior and ICONICS GENESIS64 versions 10.90 to 10.97 allows a local authenticated attacker to gain authentication information and to access the database illegally. This is because when configuration information of GridWorX, a database linkage function of GENESIS64 and MC Works64, is exported to a CSV file, the authentication information is saved in plaintext, and an attacker who can access this CSV file can gain the authentication information."
    },
    {
      "lang": "es",
      "value": "Una vulnerabilidad de almacenamiento de texto plano de una contrase\u00f1a en Mitsubishi Electric MC Works64 versiones 4.04E (10.95.210.01) y anteriores y en ICONICS GENESIS64 versiones 10.90 a 10.97, permite a un atacante local autenticado conseguir informaci\u00f3n de autenticaci\u00f3n y acceder a la base de datos de forma ilegal. Esto es debido a que cuando la informaci\u00f3n de configuraci\u00f3n de GridWorX, una funci\u00f3n de enlace de bases de datos de GENESIS64 y MC Works64, es exportada a un archivo CSV, la informaci\u00f3n de autenticaci\u00f3n es guardada en texto plano, y un atacante que pueda acceder a este archivo CSV puede conseguir la informaci\u00f3n de autenticaci\u00f3n"
    }
  ],
  "id": "CVE-2022-23129",
  "lastModified": "2026-06-17T04:29:33.893",
  "metrics": {
    "cvssMetricV2": [
      {
        "acInsufInfo": false,
        "baseSeverity": "LOW",
        "cvssData": {
          "accessComplexity": "LOW",
          "accessVector": "LOCAL",
          "authentication": "NONE",
          "availabilityImpact": "NONE",
          "baseScore": 2.1,
          "confidentialityImpact": "PARTIAL",
          "integrityImpact": "NONE",
          "vectorString": "AV:L/AC:L/Au:N/C:P/I:N/A:N",
          "version": "2.0"
        },
        "exploitabilityScore": 3.9,
        "impactScore": 2.9,
        "obtainAllPrivilege": false,
        "obtainOtherPrivilege": false,
        "obtainUserPrivilege": false,
        "source": "nvd@nist.gov",
        "type": "Primary",
        "userInteractionRequired": false
      }
    ],
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "LOCAL",
          "availabilityImpact": "NONE",
          "baseScore": 5.5,
          "baseSeverity": "MEDIUM",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "NONE",
          "privilegesRequired": "LOW",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N",
          "version": "3.1"
        },
        "exploitabilityScore": 1.8,
        "impactScore": 3.6,
        "source": "nvd@nist.gov",
        "type": "Primary"
      }
    ]
  },
  "published": "2022-01-21T19:15:10.037",
  "references": [
    {
      "source": "Mitsubishielectric.Psirt@yd.MitsubishiElectric.co.jp",
      "tags": [
        "Mitigation",
        "Third Party Advisory",
        "VDB Entry"
      ],
      "url": "https://jvn.jp/vu/JVNVU95403720/index.html"
    },
    {
      "source": "Mitsubishielectric.Psirt@yd.MitsubishiElectric.co.jp",
      "tags": [
        "Mitigation",
        "Third Party Advisory",
        "US Government Resource",
        "VDB Entry"
      ],
      "url": "https://us-cert.cisa.gov/ics/advisories/icsa-22-020-01"
    },
    {
      "source": "Mitsubishielectric.Psirt@yd.MitsubishiElectric.co.jp",
      "tags": [
        "Mitigation",
        "Vendor Advisory"
      ],
      "url": "https://www.mitsubishielectric.com/en/psirt/vulnerability/pdf/2021-027_en.pdf"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Mitigation",
        "Third Party Advisory",
        "VDB Entry"
      ],
      "url": "https://jvn.jp/vu/JVNVU95403720/index.html"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Mitigation",
        "Third Party Advisory",
        "US Government Resource",
        "VDB Entry"
      ],
      "url": "https://us-cert.cisa.gov/ics/advisories/icsa-22-020-01"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Mitigation",
        "Vendor Advisory"
      ],
      "url": "https://www.mitsubishielectric.com/en/psirt/vulnerability/pdf/2021-027_en.pdf"
    }
  ],
  "sourceIdentifier": "Mitsubishielectric.Psirt@yd.MitsubishiElectric.co.jp",
  "vulnStatus": "Modified",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-312"
        }
      ],
      "source": "nvd@nist.gov",
      "type": "Primary"
    }
  ]
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

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

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

Loading…

Loading…

Loading…

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.


Loading…