FKIE_CVE-2020-10787

Vulnerability from fkie_nvd - Published: 2020-04-21 17:15 - Updated: 2026-06-17 02:48
Summary
An elevation of privilege in Vesta Control Panel through 0.9.8-26 allows an attacker to gain root system access from the admin account via v-change-user-password (aka the user password change script).
Impacted products
Vendor Product Version
vestacp vesta_control_panel *

{
  "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:vestacp:vesta_control_panel:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "EE9D7641-8915-477C-8E5A-658DD23E098A",
              "versionEndIncluding": "0.9.8-26",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "An elevation of privilege in Vesta Control Panel through 0.9.8-26 allows an attacker to gain root system access from the admin account via v-change-user-password (aka the user password change script)."
    },
    {
      "lang": "es",
      "value": "Una elevaci\u00f3n de privilegios en Vesta Control Panel versiones hasta la versi\u00f3n 0.9.8-26, permite a un atacante conseguir acceso al sistema root desde la cuenta de administrador por medio de v-change-user-password (tambi\u00e9n se conoce como script de cambio de contrase\u00f1a de usuario)."
    }
  ],
  "id": "CVE-2020-10787",
  "lastModified": "2026-06-17T02:48:26.367",
  "metrics": {
    "cvssMetricV2": [
      {
        "acInsufInfo": false,
        "baseSeverity": "HIGH",
        "cvssData": {
          "accessComplexity": "LOW",
          "accessVector": "NETWORK",
          "authentication": "SINGLE",
          "availabilityImpact": "COMPLETE",
          "baseScore": 9.0,
          "confidentialityImpact": "COMPLETE",
          "integrityImpact": "COMPLETE",
          "vectorString": "AV:N/AC:L/Au:S/C:C/I:C/A:C",
          "version": "2.0"
        },
        "exploitabilityScore": 8.0,
        "impactScore": 10.0,
        "obtainAllPrivilege": false,
        "obtainOtherPrivilege": false,
        "obtainUserPrivilege": false,
        "source": "nvd@nist.gov",
        "type": "Primary",
        "userInteractionRequired": false
      }
    ],
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 8.8,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "LOW",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
          "version": "3.1"
        },
        "exploitabilityScore": 2.8,
        "impactScore": 5.9,
        "source": "nvd@nist.gov",
        "type": "Primary"
      }
    ]
  },
  "published": "2020-04-21T17:15:12.193",
  "references": [
    {
      "source": "cve@mitre.org",
      "tags": [
        "Third Party Advisory"
      ],
      "url": "https://gitlab.com/snippets/1954764"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Third Party Advisory"
      ],
      "url": "https://gitlab.com/snippets/1954764"
    }
  ],
  "sourceIdentifier": "cve@mitre.org",
  "vulnStatus": "Modified",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "NVD-CWE-noinfo"
        }
      ],
      "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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