FKIE_CVE-2021-24789

Vulnerability from fkie_nvd - Published: 2021-11-01 09:15 - Updated: 2026-06-17 03:40
Summary
The Flat Preloader WordPress plugin before 1.5.5 does not escape some of its settings when outputting them in attribute in the frontend, which could allow high privilege users to perform Cross-Site Scripting attacks even when the unfiltered_html is disallowed
Impacted products
Vendor Product Version
flat_preloader_project flat_preloader *

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "Flat Preloader",
          "vendor": "Unknown",
          "versions": [
            {
              "lessThan": "1.5.5",
              "status": "affected",
              "version": "1.5.5",
              "versionType": "custom"
            }
          ]
        }
      ],
      "source": "contact@wpscan.com"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:flat_preloader_project:flat_preloader:*:*:*:*:*:wordpress:*:*",
              "matchCriteriaId": "151A3203-E993-4AA3-8798-80F2FAC0EDCB",
              "versionEndExcluding": "1.5.5",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "The Flat Preloader WordPress plugin before 1.5.5 does not escape some of its settings when outputting them in attribute in the frontend, which could allow high privilege users to perform Cross-Site Scripting attacks even when the unfiltered_html is disallowed"
    },
    {
      "lang": "es",
      "value": "El plugin Flat Preloader de WordPress versiones anteriores a 1.5.5, no escapa de algunas de sus configuraciones cuando las emite en un atributo en el frontend, que podr\u00eda permitir a usuarios con altos privilegios llevar a cabo ataques de tipo Cross-Site Scripting incluso cuando la capacidad unfiltered_html no est\u00e1 permitida"
    }
  ],
  "id": "CVE-2021-24789",
  "lastModified": "2026-06-17T03:40:54.657",
  "metrics": {
    "cvssMetricV2": [
      {
        "acInsufInfo": false,
        "baseSeverity": "LOW",
        "cvssData": {
          "accessComplexity": "MEDIUM",
          "accessVector": "NETWORK",
          "authentication": "SINGLE",
          "availabilityImpact": "NONE",
          "baseScore": 3.5,
          "confidentialityImpact": "NONE",
          "integrityImpact": "PARTIAL",
          "vectorString": "AV:N/AC:M/Au:S/C:N/I:P/A:N",
          "version": "2.0"
        },
        "exploitabilityScore": 6.8,
        "impactScore": 2.9,
        "obtainAllPrivilege": false,
        "obtainOtherPrivilege": false,
        "obtainUserPrivilege": false,
        "source": "nvd@nist.gov",
        "type": "Primary",
        "userInteractionRequired": true
      }
    ],
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "NONE",
          "baseScore": 4.8,
          "baseSeverity": "MEDIUM",
          "confidentialityImpact": "LOW",
          "integrityImpact": "LOW",
          "privilegesRequired": "HIGH",
          "scope": "CHANGED",
          "userInteraction": "REQUIRED",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:H/UI:R/S:C/C:L/I:L/A:N",
          "version": "3.1"
        },
        "exploitabilityScore": 1.7,
        "impactScore": 2.7,
        "source": "nvd@nist.gov",
        "type": "Primary"
      }
    ]
  },
  "published": "2021-11-01T09:15:09.357",
  "references": [
    {
      "source": "contact@wpscan.com",
      "tags": [
        "Exploit",
        "Third Party Advisory"
      ],
      "url": "https://wpscan.com/vulnerability/e8550ccd-3898-4e27-aca9-ade89823ff4d"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Exploit",
        "Third Party Advisory"
      ],
      "url": "https://wpscan.com/vulnerability/e8550ccd-3898-4e27-aca9-ade89823ff4d"
    }
  ],
  "sourceIdentifier": "contact@wpscan.com",
  "vulnStatus": "Modified",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-79"
        }
      ],
      "source": "contact@wpscan.com",
      "type": "Secondary"
    },
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-79"
        }
      ],
      "source": "nvd@nist.gov",
      "type": "Primary"
    }
  ]
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.

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

Author Source Type Date Other

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.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • 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.
Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

JSON
Events included in the timeline

Loading timeline…


    Loading…

    Loading…

    Loading…

    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.