FKIE_CVE-2018-17134

Vulnerability from fkie_nvd - Published: 2018-09-17 04:29 - Updated: 2026-06-17 01:45
Severity
7.2 (High) - CVSS:3.0/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H
Summary
admin/web_config.php in PHPMyWind 5.5 allows Admin users to execute arbitrary code via the cfg_author field in conjunction with a crafted cfg_webpath field.
References
cve@mitre.orghttps://github.com/panghusec/exploit/issues/7Exploit, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://github.com/panghusec/exploit/issues/7Exploit, Third Party Advisory
Impacted products
Vendor Product Version
phpmywind phpmywind 5.5
To clipboard 

{
  "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:phpmywind:phpmywind:5.5:*:*:*:*:*:*:*",
              "matchCriteriaId": "B68AAB3E-453A-4BB3-A7C8-15B0F1AC74AF",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "admin/web_config.php in PHPMyWind 5.5 allows Admin users to execute arbitrary code via the cfg_author field in conjunction with a crafted cfg_webpath field."
    },
    {
      "lang": "es",
      "value": "admin/web_config.php en PHPMyWind 5.5 permite que los usuarios Admin ejecuten c\u00f3digo arbitrario mediante el campo cfg_author junto con un campo cfg_webpath manipulado."
    }
  ],
  "id": "CVE-2018-17134",
  "lastModified": "2026-06-17T01:45:24.297",
  "metrics": {
    "cvssMetricV2": [
      {
        "acInsufInfo": false,
        "baseSeverity": "MEDIUM",
        "cvssData": {
          "accessComplexity": "LOW",
          "accessVector": "NETWORK",
          "authentication": "SINGLE",
          "availabilityImpact": "PARTIAL",
          "baseScore": 6.5,
          "confidentialityImpact": "PARTIAL",
          "integrityImpact": "PARTIAL",
          "vectorString": "AV:N/AC:L/Au:S/C:P/I:P/A:P",
          "version": "2.0"
        },
        "exploitabilityScore": 8.0,
        "impactScore": 6.4,
        "obtainAllPrivilege": false,
        "obtainOtherPrivilege": false,
        "obtainUserPrivilege": false,
        "source": "nvd@nist.gov",
        "type": "Primary",
        "userInteractionRequired": false
      }
    ],
    "cvssMetricV30": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 7.2,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "HIGH",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.0/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H",
          "version": "3.0"
        },
        "exploitabilityScore": 1.2,
        "impactScore": 5.9,
        "source": "nvd@nist.gov",
        "type": "Primary"
      }
    ]
  },
  "published": "2018-09-17T04:29:01.657",
  "references": [
    {
      "source": "cve@mitre.org",
      "tags": [
        "Exploit",
        "Third Party Advisory"
      ],
      "url": "https://github.com/panghusec/exploit/issues/7"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Exploit",
        "Third Party Advisory"
      ],
      "url": "https://github.com/panghusec/exploit/issues/7"
    }
  ],
  "sourceIdentifier": "cve@mitre.org",
  "vulnStatus": "Modified",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-94"
        }
      ],
      "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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