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FKIE_CVE-2026-13395

Vulnerability from fkie_nvd - Published: 2026-07-30 06:24 - Updated: 2026-07-30 19:17
Summary
The Online Scheduling and Appointment Booking System WordPress plugin before 27.8 does not sanitize or properly cast a user-supplied parameter from its unauthenticated front-end booking requests before using it in a SQL query, allowing unauthenticated attackers to perform SQL injection attacks and extract sensitive data such as password hashes from the database.
Impacted products
Vendor Product Version

{
  "affected": [
    {
      "affectedData": [
        {
          "defaultStatus": "unaffected",
          "product": "Online Scheduling and Appointment Booking System",
          "vendor": "Unknown",
          "versions": [
            {
              "lessThan": "27.8",
              "status": "affected",
              "version": "0",
              "versionType": "semver"
            }
          ]
        }
      ],
      "source": "contact@wpscan.com"
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "The Online Scheduling and Appointment Booking System  WordPress plugin before 27.8 does not sanitize or properly cast a user-supplied parameter from its unauthenticated front-end booking requests before using it in a SQL query, allowing unauthenticated attackers to perform SQL injection attacks and extract sensitive data such as password hashes from the database."
    }
  ],
  "id": "CVE-2026-13395",
  "lastModified": "2026-07-30T19:17:06.657",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "NONE",
          "baseScore": 8.6,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "NONE",
          "privilegesRequired": "NONE",
          "scope": "CHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:N",
          "version": "3.1"
        },
        "exploitabilityScore": 3.9,
        "impactScore": 4.0,
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "type": "Secondary"
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2026-13395",
          "options": [
            {
              "exploitation": "none"
            },
            {
              "automatable": "yes"
            },
            {
              "technicalImpact": "partial"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2026-07-30T17:15:44.034100Z",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2026-07-30T06:24:59.510",
  "references": [
    {
      "source": "contact@wpscan.com",
      "url": "https://wpscan.com/vulnerability/87e75d83-0ffc-4dd1-8839-1d5a90f5ea73/"
    }
  ],
  "sourceIdentifier": "contact@wpscan.com",
  "vulnStatus": "Deferred",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-89"
        }
      ],
      "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
      "type": "Secondary"
    }
  ]
}



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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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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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