GSD-2021-24239

Vulnerability from gsd - Updated: 2023-12-13 01:23
Details
The Pie Register – User Registration Forms. Invitation based registrations, Custom Login, Payments WordPress plugin before 3.7.0.1 does not sanitise the invitaion_code GET parameter when outputting it in the Activation Code page, leading to a reflected Cross-Site Scripting issue.
Aliases
Aliases
CVE-2021-24239
To clipboard 

{
  "GSD": {
    "alias": "CVE-2021-24239",
    "description": "The Pie Register \u2013 User Registration Forms. Invitation based registrations, Custom Login, Payments WordPress plugin before 3.7.0.1 does not sanitise the invitaion_code GET parameter when outputting it in the Activation Code page, leading to a reflected Cross-Site Scripting issue.",
    "id": "GSD-2021-24239"
  },
  "gsd": {
    "metadata": {
      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
      "type": "vulnerability"
    },
    "osvSchema": {
      "aliases": [
        "CVE-2021-24239"
      ],
      "details": "The Pie Register \u2013 User Registration Forms. Invitation based registrations, Custom Login, Payments WordPress plugin before 3.7.0.1 does not sanitise the invitaion_code GET parameter when outputting it in the Activation Code page, leading to a reflected Cross-Site Scripting issue.",
      "id": "GSD-2021-24239",
      "modified": "2023-12-13T01:23:38.048112Z",
      "schema_version": "1.4.0"
    }
  },
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        "ID": "CVE-2021-24239",
        "STATE": "PUBLIC",
        "TITLE": "Pie Register \u003c 3.7.0.1 - Reflected Cross-Site Scripting (XSS)"
      },
      "affects": {
        "vendor": {
          "vendor_data": [
            {
              "product": {
                "product_data": [
                  {
                    "product_name": "Pie Register \u2013 User Registration Forms. Invitation based registrations, Custom Login, Payments",
                    "version": {
                      "version_data": [
                        {
                          "version_affected": "\u003c",
                          "version_name": "3.7.0.1",
                          "version_value": "3.7.0.1"
                        }
                      ]
                    }
                  }
                ]
              },
              "vendor_name": "Unknown"
            }
          ]
        }
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      "credit": [
        {
          "lang": "eng",
          "value": "iohex"
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          }
        ]
      },
      "generator": "WPScan CVE Generator",
      "problemtype": {
        "problemtype_data": [
          {
            "description": [
              {
                "lang": "eng",
                "value": "CWE-79 Cross-site Scripting (XSS)"
              }
            ]
          }
        ]
      },
      "references": {
        "reference_data": [
          {
            "name": "https://wpscan.com/vulnerability/f1b67f40-642f-451e-a67a-b7487918ee34",
            "refsource": "CONFIRM",
            "url": "https://wpscan.com/vulnerability/f1b67f40-642f-451e-a67a-b7487918ee34"
          },
          {
            "name": "https://plugins.trac.wordpress.org/changeset/2507536/",
            "refsource": "MISC",
            "url": "https://plugins.trac.wordpress.org/changeset/2507536/"
          }
        ]
      },
      "source": {
        "discovery": "UNKNOWN"
      }
    },
    "nvd.nist.gov": {
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        "nodes": [
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            "cpe_match": [
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                "cpe23Uri": "cpe:2.3:a:genetechsolutions:pie_register:*:*:*:*:*:wordpress:*:*",
                "cpe_name": [],
                "versionEndExcluding": "3.7.0.1",
                "vulnerable": true
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        "description": {
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            }
          ]
        },
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              "tags": [
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            },
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              "url": "https://plugins.trac.wordpress.org/changeset/2507536/"
            }
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        }
      },
      "impact": {
        "baseMetricV2": {
          "acInsufInfo": false,
          "cvssV2": {
            "accessComplexity": "MEDIUM",
            "accessVector": "NETWORK",
            "authentication": "NONE",
            "availabilityImpact": "NONE",
            "baseScore": 4.3,
            "confidentialityImpact": "NONE",
            "integrityImpact": "PARTIAL",
            "vectorString": "AV:N/AC:M/Au:N/C:N/I:P/A:N",
            "version": "2.0"
          },
          "exploitabilityScore": 8.6,
          "impactScore": 2.9,
          "obtainAllPrivilege": false,
          "obtainOtherPrivilege": false,
          "obtainUserPrivilege": false,
          "severity": "MEDIUM",
          "userInteractionRequired": true
        },
        "baseMetricV3": {
          "cvssV3": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "NONE",
            "baseScore": 6.1,
            "baseSeverity": "MEDIUM",
            "confidentialityImpact": "LOW",
            "integrityImpact": "LOW",
            "privilegesRequired": "NONE",
            "scope": "CHANGED",
            "userInteraction": "REQUIRED",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N",
            "version": "3.1"
          },
          "exploitabilityScore": 2.8,
          "impactScore": 2.7
        }
      },
      "lastModifiedDate": "2021-04-30T14:02Z",
      "publishedDate": "2021-04-22T21:15Z"
    }
  }
}



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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.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
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  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.



Related by attack behaviour

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.