GSD-2024-22027

Vulnerability from gsd - Updated: 2024-01-04 06:02
Details
Improper input validation vulnerability in WordPress Quiz Maker Plugin prior to 6.5.0.6 allows a remote authenticated attacker to perform a Denial of Service (DoS) attack against external services.
Aliases

{
  "gsd": {
    "metadata": {
      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
      "type": "vulnerability"
    },
    "osvSchema": {
      "aliases": [
        "CVE-2024-22027"
      ],
      "details": "Improper input validation vulnerability in WordPress Quiz Maker Plugin prior to 6.5.0.6 allows a remote authenticated attacker to perform a Denial of Service (DoS) attack against external services.",
      "id": "GSD-2024-22027",
      "modified": "2024-01-04T06:02:16.682013Z",
      "schema_version": "1.4.0"
    }
  },
  "namespaces": {
    "cve.org": {
      "CVE_data_meta": {
        "ASSIGNER": "vultures@jpcert.or.jp",
        "ID": "CVE-2024-22027",
        "STATE": "PUBLIC"
      },
      "affects": {
        "vendor": {
          "vendor_data": [
            {
              "product": {
                "product_data": [
                  {
                    "product_name": "WordPress Quiz Maker Plugin",
                    "version": {
                      "version_data": [
                        {
                          "version_affected": "=",
                          "version_value": "prior to 6.5.0.6"
                        }
                      ]
                    }
                  }
                ]
              },
              "vendor_name": "AYS Pro Plugins"
            }
          ]
        }
      },
      "data_format": "MITRE",
      "data_type": "CVE",
      "data_version": "4.0",
      "description": {
        "description_data": [
          {
            "lang": "eng",
            "value": "Improper input validation vulnerability in WordPress Quiz Maker Plugin prior to 6.5.0.6 allows a remote authenticated attacker to perform a Denial of Service (DoS) attack against external services."
          }
        ]
      },
      "problemtype": {
        "problemtype_data": [
          {
            "description": [
              {
                "lang": "eng",
                "value": "Improper input validation"
              }
            ]
          }
        ]
      },
      "references": {
        "reference_data": [
          {
            "name": "https://wordpress.org/plugins/quiz-maker/",
            "refsource": "MISC",
            "url": "https://wordpress.org/plugins/quiz-maker/"
          },
          {
            "name": "https://jvn.jp/en/jp/JVN37326856/",
            "refsource": "MISC",
            "url": "https://jvn.jp/en/jp/JVN37326856/"
          }
        ]
      }
    },
    "nvd.nist.gov": {
      "cve": {
        "configurations": [
          {
            "nodes": [
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                "cpeMatch": [
                  {
                    "criteria": "cpe:2.3:a:ays-pro:quiz_maker:*:*:*:*:*:wordpress:*:*",
                    "matchCriteriaId": "D10A3F01-F9B4-4A5F-ABB4-3972679C093D",
                    "versionEndExcluding": "6.5.0.6",
                    "vulnerable": true
                  }
                ],
                "negate": false,
                "operator": "OR"
              }
            ]
          }
        ],
        "descriptions": [
          {
            "lang": "en",
            "value": "Improper input validation vulnerability in WordPress Quiz Maker Plugin prior to 6.5.0.6 allows a remote authenticated attacker to perform a Denial of Service (DoS) attack against external services."
          },
          {
            "lang": "es",
            "value": "Una vulnerabilidad de validaci\u00f3n de entrada incorrecta en WordPress Quiz Maker Plugin anterior a 6.5.0.6 permite a un atacante remoto autenticado realizar un ataque de denegaci\u00f3n de servicio (DoS) contra servicios externos."
          }
        ],
        "id": "CVE-2024-22027",
        "lastModified": "2024-01-18T20:02:46.993",
        "metrics": {
          "cvssMetricV31": [
            {
              "cvssData": {
                "attackComplexity": "LOW",
                "attackVector": "NETWORK",
                "availabilityImpact": "HIGH",
                "baseScore": 6.5,
                "baseSeverity": "MEDIUM",
                "confidentialityImpact": "NONE",
                "integrityImpact": "NONE",
                "privilegesRequired": "LOW",
                "scope": "UNCHANGED",
                "userInteraction": "NONE",
                "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
                "version": "3.1"
              },
              "exploitabilityScore": 2.8,
              "impactScore": 3.6,
              "source": "nvd@nist.gov",
              "type": "Primary"
            }
          ]
        },
        "published": "2024-01-12T07:15:12.243",
        "references": [
          {
            "source": "vultures@jpcert.or.jp",
            "tags": [
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            ],
            "url": "https://jvn.jp/en/jp/JVN37326856/"
          },
          {
            "source": "vultures@jpcert.or.jp",
            "tags": [
              "Product"
            ],
            "url": "https://wordpress.org/plugins/quiz-maker/"
          }
        ],
        "sourceIdentifier": "vultures@jpcert.or.jp",
        "vulnStatus": "Analyzed",
        "weaknesses": [
          {
            "description": [
              {
                "lang": "en",
                "value": "CWE-20"
              }
            ],
            "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.
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Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.


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