FKIE_CVE-2021-24198

Vulnerability from fkie_nvd - Published: 2021-04-12 14:15 - Updated: 2026-06-17 03:39
Severity
8.1 (High) - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:H
Summary
The wpDataTables – Tables & Table Charts premium WordPress plugin before 3.4.2 has Improper Access Control. A low privilege authenticated user that visits the page where the table is published can tamper the parameters to delete the data of another user that are present in the same table through id_key and id_val parameters. By exploiting this issue an attacker is able to delete the data of all users in the same table.
References
contact@wpscan.comhttps://n4nj0.github.io/advisories/wordpress-plugin-wpdatatables-ii/Third Party Advisory
contact@wpscan.comhttps://wpdatatables.com/help/whats-new-changelog/Release Notes, Vendor Advisory
contact@wpscan.comhttps://wpscan.com/vulnerability/d953bc62-8a6f-445b-a556-bc25cdd200e3Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://n4nj0.github.io/advisories/wordpress-plugin-wpdatatables-ii/Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://wpdatatables.com/help/whats-new-changelog/Release Notes, Vendor Advisory
af854a3a-2127-422b-91ae-364da2661108https://wpscan.com/vulnerability/d953bc62-8a6f-445b-a556-bc25cdd200e3Third Party Advisory
Impacted products
Vendor Product Version
tms-outsource wpdatatables *
To clipboard 

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "wpDataTables \u2013 Tables \u0026 Table Charts",
          "vendor": "wpDataTables",
          "versions": [
            {
              "lessThan": "3.4.2",
              "status": "affected",
              "version": "3.4.2",
              "versionType": "custom"
            }
          ]
        }
      ],
      "source": "contact@wpscan.com"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:tms-outsource:wpdatatables:*:*:*:*:premium:wordpress:*:*",
              "matchCriteriaId": "00C79193-0FAF-4101-B078-43245C9012E5",
              "versionEndExcluding": "3.4.2",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "The wpDataTables \u2013 Tables \u0026 Table Charts premium WordPress plugin before 3.4.2 has Improper Access Control. A low privilege authenticated user that visits the page where the table is published can tamper the parameters to delete the data of another user that are present in the same table through id_key and id_val parameters. By exploiting this issue an attacker is able to delete the data of all users in the same table."
    },
    {
      "lang": "es",
      "value": "El plugin wpDataTables \u2013 Tables \u0026amp; Table Charts premium WordPress versiones anteriores a 3.4.2, presenta un Control de Acceso Inapropiado.\u0026#xa0;Un usuario autenticado poco privilegiado que visita la p\u00e1gina donde es publicada la tabla puede manipular los par\u00e1metros para eliminar los datos de otro usuario que est\u00e1n presentes en la misma tabla por medio de los par\u00e1metros id_key e id_val.\u0026#xa0;Al explotar este problema, un atacante puede eliminar los datos de todos los usuarios de la misma tabla"
    }
  ],
  "id": "CVE-2021-24198",
  "lastModified": "2026-06-17T03:39:35.167",
  "metrics": {
    "cvssMetricV2": [
      {
        "acInsufInfo": false,
        "baseSeverity": "MEDIUM",
        "cvssData": {
          "accessComplexity": "LOW",
          "accessVector": "NETWORK",
          "authentication": "SINGLE",
          "availabilityImpact": "PARTIAL",
          "baseScore": 5.5,
          "confidentialityImpact": "NONE",
          "integrityImpact": "PARTIAL",
          "vectorString": "AV:N/AC:L/Au:S/C:N/I:P/A:P",
          "version": "2.0"
        },
        "exploitabilityScore": 8.0,
        "impactScore": 4.9,
        "obtainAllPrivilege": false,
        "obtainOtherPrivilege": false,
        "obtainUserPrivilege": false,
        "source": "nvd@nist.gov",
        "type": "Primary",
        "userInteractionRequired": false
      }
    ],
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 8.1,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "NONE",
          "integrityImpact": "HIGH",
          "privilegesRequired": "LOW",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:H",
          "version": "3.1"
        },
        "exploitabilityScore": 2.8,
        "impactScore": 5.2,
        "source": "nvd@nist.gov",
        "type": "Primary"
      }
    ]
  },
  "published": "2021-04-12T14:15:14.850",
  "references": [
    {
      "source": "contact@wpscan.com",
      "tags": [
        "Third Party Advisory"
      ],
      "url": "https://n4nj0.github.io/advisories/wordpress-plugin-wpdatatables-ii/"
    },
    {
      "source": "contact@wpscan.com",
      "tags": [
        "Release Notes",
        "Vendor Advisory"
      ],
      "url": "https://wpdatatables.com/help/whats-new-changelog/"
    },
    {
      "source": "contact@wpscan.com",
      "tags": [
        "Third Party Advisory"
      ],
      "url": "https://wpscan.com/vulnerability/d953bc62-8a6f-445b-a556-bc25cdd200e3"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Third Party Advisory"
      ],
      "url": "https://n4nj0.github.io/advisories/wordpress-plugin-wpdatatables-ii/"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Release Notes",
        "Vendor Advisory"
      ],
      "url": "https://wpdatatables.com/help/whats-new-changelog/"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Third Party Advisory"
      ],
      "url": "https://wpscan.com/vulnerability/d953bc62-8a6f-445b-a556-bc25cdd200e3"
    }
  ],
  "sourceIdentifier": "contact@wpscan.com",
  "vulnStatus": "Modified",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-284"
        }
      ],
      "source": "contact@wpscan.com",
      "type": "Secondary"
    },
    {
      "description": [
        {
          "lang": "en",
          "value": "NVD-CWE-Other"
        }
      ],
      "source": "nvd@nist.gov",
      "type": "Primary"
    }
  ]
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.




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

Loading timeline…




    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.