FKIE_CVE-2020-6653

Vulnerability from fkie_nvd - Published: 2020-08-12 17:15 - Updated: 2024-11-21 05:36
Summary
Eaton's Secure connect mobile app v1.7.3 & prior stores the user login credentials in logcat file when user create or register the account on the Mobile app. A malicious app or unauthorized user can harvest the information and later on can use the information to monitor and control the user's account and associated devices.
Impacted products
Vendor Product Version
eaton secureconnect *

{
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:eaton:secureconnect:*:*:*:*:*:android:*:*",
              "matchCriteriaId": "EF642703-335C-4ACB-B1EA-E0107D3B28EA",
              "versionEndIncluding": "1.7.3",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "Eaton\u0027s Secure connect mobile app v1.7.3 \u0026 prior stores the user login credentials in logcat file when user create or register the account on the Mobile app. A malicious app or unauthorized user can harvest the information and later on can use the information to monitor and control the user\u0027s account and associated devices."
    },
    {
      "lang": "es",
      "value": "La aplicaci\u00f3n m\u00f3vil Secure Connect de Eaton versi\u00f3n v1.7.3 y anteriores, almacena las credenciales de inicio de sesi\u00f3n del usuario en el archivo logcat cuando el usuario crea o registra la cuenta en la aplicaci\u00f3n M\u00f3vil. Una aplicaci\u00f3n maliciosa o un usuario no autorizado pueden recopilar la informaci\u00f3n y, posteriormente, usar la informaci\u00f3n para supervisar y controlar la cuenta del usuario y los dispositivos asociados"
    }
  ],
  "id": "CVE-2020-6653",
  "lastModified": "2024-11-21T05:36:06.130",
  "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": "HIGH",
          "attackVector": "PHYSICAL",
          "availabilityImpact": "NONE",
          "baseScore": 3.8,
          "baseSeverity": "LOW",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "NONE",
          "privilegesRequired": "HIGH",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:P/AC:H/PR:H/UI:N/S:U/C:H/I:N/A:N",
          "version": "3.1"
        },
        "exploitabilityScore": 0.2,
        "impactScore": 3.6,
        "source": "CybersecurityCOE@eaton.com",
        "type": "Secondary"
      },
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "PHYSICAL",
          "availabilityImpact": "NONE",
          "baseScore": 3.9,
          "baseSeverity": "LOW",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "NONE",
          "privilegesRequired": "HIGH",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:P/AC:L/PR:H/UI:N/S:U/C:H/I:N/A:N",
          "version": "3.1"
        },
        "exploitabilityScore": 0.3,
        "impactScore": 3.6,
        "source": "nvd@nist.gov",
        "type": "Primary"
      }
    ]
  },
  "published": "2020-08-12T17:15:12.740",
  "references": [
    {
      "source": "CybersecurityCOE@eaton.com",
      "tags": [
        "Vendor Advisory"
      ],
      "url": "https://www.eaton.com/content/dam/eaton/company/news-insights/cybersecurity/security-bulletins/Eaton-vulnerability-advisory-secure-connect-mobile-app.pdf"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Vendor Advisory"
      ],
      "url": "https://www.eaton.com/content/dam/eaton/company/news-insights/cybersecurity/security-bulletins/Eaton-vulnerability-advisory-secure-connect-mobile-app.pdf"
    }
  ],
  "sourceIdentifier": "CybersecurityCOE@eaton.com",
  "vulnStatus": "Modified",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-200"
        },
        {
          "lang": "en",
          "value": "CWE-532"
        }
      ],
      "source": "CybersecurityCOE@eaton.com",
      "type": "Secondary"
    },
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-200"
        },
        {
          "lang": "en",
          "value": "CWE-532"
        }
      ],
      "source": "nvd@nist.gov",
      "type": "Primary"
    }
  ]
}


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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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