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DRUPAL-CONTRIB-2026-134
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.
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Measures severity based on intrinsic characteristics of the vulnerability, independent of environment.
No exploitation activity has been observed at this time. Continue routine monitoring.
Probability that this vulnerability will be exploited in the wild within the next 30 days.
We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.
- CVE-2026-87936Alias
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