CVE alerts for
PostgreSQL

llmware 0.4.6 contains an SQL injection vulnerability in the collection-database layer (llmware/resources.py) where filter and lookup values are directly string-interpolated into SQL WHERE clauses without parameterization or escaping, in both the SQLite and PostgreSQL backends. The filter validator only checks keys against an allow-list and never sanitizes values. Attacker-controlled filter values reaching the public API via Library.block_lookup and Query.text_query_with_custom_filter / text_query_by_author_or_speaker can neutralize the intended filter to disclose rows the caller was scoped out of (cross-document/cross-collection disclosure); on PostgreSQL the flaw permits boolean- and UNION-based SQL injection.

Worklenz through 3.0.0 fails to properly validate the sort-field query parameter in pagination helper functions, allowing authenticated users to inject arbitrary PostgreSQL expressions into ORDER BY clauses. Attackers can use time-based and boolean-based blind SQL injection techniques to extract sensitive database content including password hashes from other tenants. This is an incomplete fix for CVE-2026-25947.

R2R through 3.6.6 contains a stacked SQL injection vulnerability that allows unauthenticated attackers to execute arbitrary SQL statements by manipulating the index name parameter in the vector index creation endpoint. The index name is interpolated directly into a CREATE INDEX statement via string formatting without identifier quoting or allowlist validation, enabling arbitrary DDL and DML execution through semicolon-separated statements under the PostgreSQL superuser account.

An authenticated user with permission to query a SQL data source can bypass the fix for CVE-2026-33375 by injecting the timeGroup macro through a WHERE clause, which Grafana's regex-based macro parsing does not reject. Evaluating the injected macro causes uncontrolled memory consumption that can terminate the Grafana server process, resulting in a denial of service. The Microsoft SQL Server, PostgreSQL, and MySQL data sources are affected.