FKIE_CVE-2017-14962

Vulnerability from fkie_nvd - Published: 2017-12-20 18:29 - Updated: 2026-06-17 01:07
Summary
In IKARUS anti.virus before 2.16.18, the ntguard.sys driver contains an Out of Bounds Write vulnerability because of not validating input values from IOCtl 0x83000058, a related issue to CVE-2017-17112.
References
Impacted products
Vendor Product Version
ikarussecurity anti.virus *

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "n/a",
          "vendor": "n/a",
          "versions": [
            {
              "status": "affected",
              "version": "n/a"
            }
          ]
        }
      ],
      "source": "cve@mitre.org"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:ikarussecurity:anti.virus:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "6E9F55F1-6FB0-48A2-BD1A-7FF455B70DE3",
              "versionEndExcluding": "2.16.18",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "In IKARUS anti.virus before 2.16.18, the ntguard.sys driver contains an Out of Bounds Write vulnerability because of not validating input values from IOCtl 0x83000058, a related issue to CVE-2017-17112."
    },
    {
      "lang": "es",
      "value": "En versiones anteriores a la 2.16.18 de IKARUS anti.virus, el controlador ntguard.sys contiene una vulnerabilidad de escritura fuera de l\u00edmites debido a que no valida valores de entrada de una llamada IOCtl 0x83000058. Este problema es diferente de CVE-2017-17112."
    }
  ],
  "id": "CVE-2017-14962",
  "lastModified": "2026-06-17T01:07:03.623",
  "metrics": {
    "cvssMetricV2": [
      {
        "acInsufInfo": true,
        "baseSeverity": "HIGH",
        "cvssData": {
          "accessComplexity": "LOW",
          "accessVector": "LOCAL",
          "authentication": "NONE",
          "availabilityImpact": "COMPLETE",
          "baseScore": 7.2,
          "confidentialityImpact": "COMPLETE",
          "integrityImpact": "COMPLETE",
          "vectorString": "AV:L/AC:L/Au:N/C:C/I:C/A:C",
          "version": "2.0"
        },
        "exploitabilityScore": 3.9,
        "impactScore": 10.0,
        "obtainAllPrivilege": false,
        "obtainOtherPrivilege": false,
        "obtainUserPrivilege": false,
        "source": "nvd@nist.gov",
        "type": "Primary",
        "userInteractionRequired": false
      }
    ],
    "cvssMetricV30": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "LOCAL",
          "availabilityImpact": "HIGH",
          "baseScore": 7.8,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "LOW",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
          "version": "3.0"
        },
        "exploitabilityScore": 1.8,
        "impactScore": 5.9,
        "source": "nvd@nist.gov",
        "type": "Primary"
      }
    ]
  },
  "published": "2017-12-20T18:29:00.623",
  "references": [
    {
      "source": "cve@mitre.org",
      "tags": [
        "Exploit",
        "Third Party Advisory"
      ],
      "url": "http://www.greyhathacker.net/?p=995"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Exploit",
        "Third Party Advisory"
      ],
      "url": "http://www.greyhathacker.net/?p=995"
    }
  ],
  "sourceIdentifier": "cve@mitre.org",
  "vulnStatus": "Modified",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-787"
        }
      ],
      "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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Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
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