FKIE_CVE-2026-84907

Vulnerability from fkie_nvd - Published: 2026-09-16 06:16 - Updated: 2026-09-17 13:16
Severity
3.7 (Low) - CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:N
Summary
The Eventin WordPress plugin before 4.1.24 does not properly authorise order finalisation when its offline (local) payment method is enabled, relying on a nonce that is exposed to unauthenticated visitors and never checking that the caller owns the order, allowing unauthenticated attackers to reset any existing order and its attendees to a pending state and thereby invalidate paid tickets.
References
contact@wpscan.comhttps://wpscan.com/vulnerability/5ac3b3af-eee7-4cf1-a16a-6d0095306bb7/
Impacted products
Vendor Product Version
To clipboard 

{
  "affected": [
    {
      "affectedData": [
        {
          "defaultStatus": "unaffected",
          "product": "Eventin",
          "vendor": "Unknown",
          "versions": [
            {
              "lessThan": "4.1.24",
              "status": "affected",
              "version": "4.1.5",
              "versionType": "semver"
            }
          ]
        }
      ],
      "source": "contact@wpscan.com"
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "The Eventin  WordPress plugin before 4.1.24 does not properly authorise order finalisation when its offline (local) payment method is enabled, relying on a nonce that is exposed to unauthenticated visitors and never checking that the caller owns the order, allowing unauthenticated attackers to reset any existing order and its attendees to a pending state and thereby invalidate paid tickets."
    }
  ],
  "id": "CVE-2026-84907",
  "lastModified": "2026-09-17T13:16:50.160",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "HIGH",
          "attackVector": "NETWORK",
          "availabilityImpact": "NONE",
          "baseScore": 3.7,
          "baseSeverity": "LOW",
          "confidentialityImpact": "NONE",
          "integrityImpact": "LOW",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:N",
          "version": "3.1"
        },
        "exploitabilityScore": 2.2,
        "impactScore": 1.4,
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "type": "Secondary"
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2026-84907",
          "options": [
            {
              "exploitation": "none"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "partial"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2026-09-17T12:19:26.418459Z",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2026-09-16T06:16:33.850",
  "references": [
    {
      "source": "contact@wpscan.com",
      "url": "https://wpscan.com/vulnerability/5ac3b3af-eee7-4cf1-a16a-6d0095306bb7/"
    }
  ],
  "sourceIdentifier": "contact@wpscan.com",
  "vulnStatus": "Deferred",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-862"
        }
      ],
      "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.

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.
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  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.


Detection rules are retrieved from Rulezet.


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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.