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    DRUPAL-CONTRIB-2026-134 (CVE-2026-87936)

    Vulnerability from drupal – Published: 2026-09-09 17:14 – Updated: 2026-09-11 12:42 – Source website
    VLAI
    Details

    Update 2026-09-11: Increased risk score to reflect publicly documented methods for developing exploits.

    This module integrates amazee.ai's AI services into Drupal, including a Postgres/pgvector vector database backend for use with Search API AI Search.

    The module doesn't sufficiently sanitize filter values before using them to build SQL queries in its Postgres/pgvector backend, allowing SQL injection.

    This vulnerability is mitigated by the fact that a site must be using the module's Postgres/pgvector vector database backend for a Search API AI Search index, and must expose one of that index's non-string fields as a filter (for example, through a View) that is reachable by the attacker.


    {
      "affected": [
        {
          "database_specific": {
            "affected_versions": "\u003c1.3.7 || \u003e=1.4.0 \u003c1.4.3"
          },
          "package": {
            "ecosystem": "Packagist:https://packages.drupal.org/8",
            "name": "drupal/ai_provider_amazeeio"
          },
          "ranges": [
            {
              "database_specific": {
                "constraint": "\u003c1.3.7"
              },
              "events": [
                {
                  "introduced": "0"
                },
                {
                  "fixed": "1.3.7"
                }
              ],
              "type": "ECOSYSTEM"
            },
            {
              "database_specific": {
                "constraint": "\u003e=1.4.0 \u003c1.4.3"
              },
              "events": [
                {
                  "introduced": "1.4.0"
                },
                {
                  "fixed": "1.4.3"
                }
              ],
              "type": "ECOSYSTEM"
            }
          ],
          "severity": []
        }
      ],
      "aliases": [
        "CVE-2026-87936"
      ],
      "credits": [
        {
          "contact": [
            "https://www.drupal.org/u/matank001"
          ],
          "name": "Matan Kotick (matank001)"
        }
      ],
      "details": "**Update 2026-09-11:** Increased risk score to reflect publicly documented methods for developing exploits.\n\nThis module integrates amazee.ai\u0027s AI services into Drupal, including a Postgres/pgvector vector database backend for use with Search API AI Search.\n\nThe module doesn\u0027t sufficiently sanitize filter values before using them to build SQL queries in its Postgres/pgvector backend, allowing SQL injection.\n\nThis vulnerability is mitigated by the fact that a site must be using the module\u0027s Postgres/pgvector vector database backend for a Search API AI Search index, and must expose one of that index\u0027s non-string fields as a filter (for example, through a View) that is reachable by the attacker.",
      "id": "DRUPAL-CONTRIB-2026-134",
      "modified": "2026-09-11T12:42:14.000Z",
      "published": "2026-09-09T17:14:00.000Z",
      "references": [
        {
          "type": "WEB",
          "url": "https://www.drupal.org/sa-contrib-2026-134"
        }
      ],
      "schema_version": "1.7.0"
    }