FKIE_CVE-2018-20385

Vulnerability from fkie_nvd - Published: 2018-12-23 21:29 - Updated: 2024-11-21 04:01
Summary
CastleNet CBV38Z4EC 125.553mp1.39219mp1.899.007, CBV38Z4ECNIT 125.553mp1.39219mp1.899.005ITT, CBW383G4J 37.556mp5.008, and CBW38G4J 37.553mp1.008 devices allow remote attackers to discover credentials via iso.3.6.1.4.1.4491.2.4.1.1.6.1.1.0 and iso.3.6.1.4.1.4491.2.4.1.1.6.1.2.0 SNMP requests.
Impacted products
Vendor Product Version
castlenet cbv38z4ec_firmware 25.553mp1.39219mp1.899.007
castlenet cbv38z4ec 1.0
castlenet cbv38z4ecnit_firmware 125.553mp1.39219mp1.899.005itt
castlenet cbv38z4ecnit 1.0
castlenet cbw383g4j_firmware 37.556mp5.008
castlenet cbw383g4j 1.01
castlenet cbw38g4j_firmware 37.553mp1.008
castlenet cbw38g4j 1.0

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  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "CastleNet CBV38Z4EC 125.553mp1.39219mp1.899.007, CBV38Z4ECNIT 125.553mp1.39219mp1.899.005ITT, CBW383G4J 37.556mp5.008, and CBW38G4J 37.553mp1.008 devices allow remote attackers to discover credentials via iso.3.6.1.4.1.4491.2.4.1.1.6.1.1.0 and iso.3.6.1.4.1.4491.2.4.1.1.6.1.2.0 SNMP requests."
    },
    {
      "lang": "es",
      "value": "Los dispositivos CastleNet CBV38Z4EC 125.553mp1.39219mp1.899.007, CBV38Z4ECNIT 125.553mp1.39219mp1.899.005ITT, CBW383G4J 37.556mp5.008 y CBW38G4J 37.553mp1.008 permiten que atacantes remotos descubran credenciales mediante peticiones SNMP iso.3.6.1.4.1.4491.2.4.1.1.6.1.1.0 e iso.3.6.1.4.1.4491.2.4.1.1.6.1.2.0."
    }
  ],
  "id": "CVE-2018-20385",
  "lastModified": "2024-11-21T04:01:22.610",
  "metrics": {
    "cvssMetricV2": [
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        "acInsufInfo": false,
        "baseSeverity": "MEDIUM",
        "cvssData": {
          "accessComplexity": "LOW",
          "accessVector": "NETWORK",
          "authentication": "NONE",
          "availabilityImpact": "NONE",
          "baseScore": 5.0,
          "confidentialityImpact": "PARTIAL",
          "integrityImpact": "NONE",
          "vectorString": "AV:N/AC:L/Au:N/C:P/I:N/A:N",
          "version": "2.0"
        },
        "exploitabilityScore": 10.0,
        "impactScore": 2.9,
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        "obtainOtherPrivilege": false,
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        "source": "nvd@nist.gov",
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          "attackVector": "NETWORK",
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          "baseScore": 9.8,
          "baseSeverity": "CRITICAL",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
          "version": "3.0"
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        "exploitabilityScore": 3.9,
        "impactScore": 5.9,
        "source": "nvd@nist.gov",
        "type": "Primary"
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  },
  "published": "2018-12-23T21:29:00.607",
  "references": [
    {
      "source": "cve@mitre.org",
      "tags": [
        "Third Party Advisory"
      ],
      "url": "https://github.com/ezelf/sensitivesOids/blob/master/oidpassswordleaks.csv"
    },
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      "tags": [
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  "vulnStatus": "Modified",
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          "lang": "en",
          "value": "CWE-522"
        }
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      "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.

Sightings

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