FKIE_CVE-2025-6716

Vulnerability from fkie_nvd - Published: 2025-07-11 07:15 - Updated: 2026-06-17 10:02
Severity
6.4 (Medium) - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:L/A:N
Summary
The Photos, Files, YouTube, Twitter, Instagram, TikTok, Ecommerce Contest Gallery – Upload, Vote, Sell via PayPal or Stripe, Social Share Buttons, OpenAI plugin for WordPress is vulnerable to Stored Cross-Site Scripting via the 'upload[1][title]' parameter in all versions up to, and including, 26.0.8 due to insufficient input sanitization and output escaping. This makes it possible for authenticated attackers, with Author-level access and above, to inject arbitrary web scripts in pages that will execute whenever a user accesses an injected page.
References
security@wordfence.comhttps://plugins.trac.wordpress.org/changeset?sfp_email=&sfph_mail=&reponame=&old=3321912%40contest-gallery&new=3321912%40contest-gallery&sfp_email=&sfph_mail=
security@wordfence.comhttps://www.wordfence.com/threat-intel/vulnerabilities/id/e54caaf5-f37b-4842-ab3d-8e37cbed58da?source=cve
Impacted products
Vendor Product Version
To clipboard 

{
  "affected": [
    {
      "affectedData": [
        {
          "defaultStatus": "unaffected",
          "product": "Contest Gallery \u2013 Upload \u0026 Vote Photos, Media, Sell with PayPal \u0026 Stripe",
          "vendor": "contest-gallery",
          "versions": [
            {
              "lessThanOrEqual": "26.0.8",
              "status": "affected",
              "version": "0",
              "versionType": "semver"
            }
          ]
        }
      ],
      "source": "security@wordfence.com"
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "The Photos, Files, YouTube, Twitter, Instagram, TikTok, Ecommerce Contest Gallery \u2013 Upload, Vote, Sell via PayPal or Stripe, Social Share Buttons, OpenAI plugin for WordPress is vulnerable to Stored Cross-Site Scripting via the \u0027upload[1][title]\u0027 parameter in all versions up to, and including, 26.0.8 due to insufficient input sanitization and output escaping. This makes it possible for authenticated attackers, with Author-level access and above, to inject arbitrary web scripts in pages that will execute whenever a user accesses an injected page."
    },
    {
      "lang": "es",
      "value": "El complemento Photos, Files, YouTube, Twitter, Instagram, TikTok, Ecommerce Contest Gallery \u2013 Upload, Vote, Sell via PayPal or Stripe, Social Share Buttons, OpenAI para WordPress es vulnerable a cross-site scripting almacenado a trav\u00e9s del par\u00e1metro \u0027upload[1][title]\u0027 en todas las versiones hasta la 26.0.8 incluida, debido a una depuraci\u00f3n de entrada y un escape de salida insuficientes. Esto permite a atacantes autenticados, con acceso de autor o superior, inyectar scripts web arbitrarios en p\u00e1ginas que se ejecutar\u00e1n al acceder un usuario a una p\u00e1gina inyectada."
    }
  ],
  "id": "CVE-2025-6716",
  "lastModified": "2026-06-17T10:02:26.523",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "NONE",
          "baseScore": 6.4,
          "baseSeverity": "MEDIUM",
          "confidentialityImpact": "LOW",
          "integrityImpact": "LOW",
          "privilegesRequired": "LOW",
          "scope": "CHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:L/A:N",
          "version": "3.1"
        },
        "exploitabilityScore": 3.1,
        "impactScore": 2.7,
        "source": "security@wordfence.com",
        "type": "Secondary"
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2025-6716",
          "options": [
            {
              "exploitation": "none"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "partial"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2025-07-11T15:45:59.026864Z",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2025-07-11T07:15:25.360",
  "references": [
    {
      "source": "security@wordfence.com",
      "url": "https://plugins.trac.wordpress.org/changeset?sfp_email=\u0026sfph_mail=\u0026reponame=\u0026old=3321912%40contest-gallery\u0026new=3321912%40contest-gallery\u0026sfp_email=\u0026sfph_mail="
    },
    {
      "source": "security@wordfence.com",
      "url": "https://www.wordfence.com/threat-intel/vulnerabilities/id/e54caaf5-f37b-4842-ab3d-8e37cbed58da?source=cve"
    }
  ],
  "sourceIdentifier": "security@wordfence.com",
  "vulnStatus": "Deferred",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-79"
        }
      ],
      "source": "security@wordfence.com",
      "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.
  • 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.



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.