CVE-2026-86839 (GCVE-0-2026-86839)

Vulnerability from cvelistv5 – Published: 2026-09-27 06:00 – Updated: 2026-09-27 06:00
VLAI
Title
Bookly < 28.3 - Staff+ Appointment and Payment Disclosure, Modification and Deletion via IDOR
Summary
The Online Scheduling and Appointment Booking System WordPress plugin before 28.3 does not verify that appointment and payment records requested through its staff-role AJAX actions belong to the requesting staff member, allowing authenticated attackers with a staff-level account to view, modify and delete other staff members' appointments and payments, including the associated customer's personal information.
Severity
No CVSS data available.
References
URL Tags
https://wpscan.com/vulnerability/3ab8b879-3ef7-4a… exploitvdb-entrytechnical-description
Impacted products
Vendor Product Version CPE status
Unknown Online Scheduling and Appointment Booking System Affected: 0 , < 28.3 (semver)
guessed Create a notification for this product.
Show details on NVD website

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            }
          ]
        }
      ],
      "credits": [
        {
          "lang": "en",
          "type": "finder",
          "value": "V\u0169 Quang Huy"
        },
        {
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          "type": "coordinator",
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        }
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        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "description": "CWE-639 Authorization Bypass Through User-Controlled Key",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
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      "providerMetadata": {
        "dateUpdated": "2026-09-27T06:00:20.309Z",
        "orgId": "1bfdd5d7-9bf6-4a53-96ea-42e2716d7a81",
        "shortName": "WPScan"
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          ],
          "url": "https://wpscan.com/vulnerability/3ab8b879-3ef7-4aa4-8620-1bde99697dcb/"
        }
      ],
      "source": {
        "discovery": "EXTERNAL"
      },
      "title": "Bookly \u003c 28.3 - Staff+ Appointment and Payment Disclosure, Modification and Deletion via IDOR",
      "x_generator": {
        "engine": "WPScan CVE Generator"
      }
    }
  },
  "cveMetadata": {
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    "cveId": "CVE-2026-86839",
    "datePublished": "2026-09-27T06:00:20.309Z",
    "dateReserved": "2026-09-08T14:43:22.104Z",
    "dateUpdated": "2026-09-27T06:00:20.309Z",
    "state": "PUBLISHED"
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  "vulnerability-lookup:meta": {
    "epss": {
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      "date": "2026-09-27",
      "epss": "0.00132",
      "percentile": "0.02298"
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    "nvd": {
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          }
        ],
        "id": "CVE-2026-86839",
        "lastModified": "2026-09-27T06:17:14.180",
        "metrics": {},
        "published": "2026-09-27T06:17:14.180",
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        "vulnStatus": "Received"
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}



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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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