(CVE-2025-8675)

Vulnerability from drupal – Published: 2025-08-06 16:50 – Updated: 2025-08-06 16:50 – Source website
VLAI
Details

This module enables you to provide SEO analysis and recommendations for a given URL.

The module doesn't sufficiently sanitize user-supplied URLs, leading to a Server-side request forgery (SSRF) vulnerability.

This vulnerability is mitigated by the fact that an attacker must have a role with the permission "access seo analyzer".


{
  "affected": [
    {
      "database_specific": {
        "affected_versions": "\u003c1.0.6"
      },
      "package": {
        "ecosystem": "Packagist:https://packages.drupal.org/8",
        "name": "drupal/ai_seo_link_advisor"
      },
      "ranges": [
        {
          "database_specific": {
            "constraint": "\u003c1.0.6"
          },
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "1.0.6"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "severity": []
    }
  ],
  "aliases": [
    "CVE-2025-8675"
  ],
  "credits": [
    {
      "contact": [
        "https://www.drupal.org/u/bigbabert"
      ],
      "name": "Alberto Cocchiara (bigbabert)"
    },
    {
      "contact": [
        "https://www.drupal.org/u/cmlara"
      ],
      "name": "Conrad Lara (cmlara)"
    }
  ],
  "details": "This module enables you to provide SEO analysis and recommendations for a given URL.\n\nThe module doesn\u0027t sufficiently sanitize user-supplied URLs, leading to a Server-side request forgery (SSRF) vulnerability.\n\nThis vulnerability is mitigated by the fact that an attacker must have a role with the permission \"access seo analyzer\".",
  "id": "DRUPAL-CONTRIB-2025-095",
  "modified": "2025-08-06T16:50:43.000Z",
  "published": "2025-08-06T16:50:43.000Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://www.drupal.org/sa-contrib-2025-095"
    }
  ],
  "schema_version": "1.7.0"
}



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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.

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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.


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