FKIE_CVE-2018-8972

Vulnerability from fkie_nvd - Published: 2018-03-24 22:29 - Updated: 2026-06-17 02:05
Summary
Creditwest Bank CMS Project (aka CWCMS) through 2017-07-28 has CSRF in the functionality for updating the site configuration, which allows remote attackers to inject arbitrary PHP code, as demonstrated by a PHP shell that calls eval on request parameters.
Impacted products
Vendor Product Version
creditwestbank cwcms *

{
  "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:creditwestbank:cwcms:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "E366DE8E-A1B9-441B-A5FB-2824559830AC",
              "versionEndExcluding": "2017-07-28",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "Creditwest Bank CMS Project (aka CWCMS) through 2017-07-28 has CSRF in the functionality for updating the site configuration, which allows remote attackers to inject arbitrary PHP code, as demonstrated by a PHP shell that calls eval on request parameters."
    },
    {
      "lang": "es",
      "value": "Creditwest Bank CMS Project (tambi\u00e9n conocido como CWCMS) hasta 2017-07-28 contiene Cross-Site Request Forgery (CSRF) en la funcionalidad para la actualizaci\u00f3n de la configuraci\u00f3n del sitio. Esta permite que atacantes remotos inyecten c\u00f3digo PHP arbitrario, como ha sido demostrado por una shell PHP que llama a eval en par\u00e1metros request."
    }
  ],
  "id": "CVE-2018-8972",
  "lastModified": "2026-06-17T02:05:45.060",
  "metrics": {
    "cvssMetricV2": [
      {
        "acInsufInfo": false,
        "baseSeverity": "MEDIUM",
        "cvssData": {
          "accessComplexity": "MEDIUM",
          "accessVector": "NETWORK",
          "authentication": "NONE",
          "availabilityImpact": "PARTIAL",
          "baseScore": 6.8,
          "confidentialityImpact": "PARTIAL",
          "integrityImpact": "PARTIAL",
          "vectorString": "AV:N/AC:M/Au:N/C:P/I:P/A:P",
          "version": "2.0"
        },
        "exploitabilityScore": 8.6,
        "impactScore": 6.4,
        "obtainAllPrivilege": false,
        "obtainOtherPrivilege": false,
        "obtainUserPrivilege": false,
        "source": "nvd@nist.gov",
        "type": "Primary",
        "userInteractionRequired": true
      }
    ],
    "cvssMetricV30": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 8.8,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "REQUIRED",
          "vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
          "version": "3.0"
        },
        "exploitabilityScore": 2.8,
        "impactScore": 5.9,
        "source": "nvd@nist.gov",
        "type": "Primary"
      }
    ]
  },
  "published": "2018-03-24T22:29:00.220",
  "references": [
    {
      "source": "cve@mitre.org",
      "tags": [
        "Exploit",
        "Third Party Advisory"
      ],
      "url": "https://github.com/CREDITWEST/CWCMS/issues/1"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Exploit",
        "Third Party Advisory"
      ],
      "url": "https://github.com/CREDITWEST/CWCMS/issues/1"
    }
  ],
  "sourceIdentifier": "cve@mitre.org",
  "vulnStatus": "Modified",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-352"
        }
      ],
      "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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