SQL injection in pgAdmin 4 across every dialog template that renders COMMENT ON ... IS '<description>' for a user-supplied description field. The Jinja templates for Domains (and their constraints), Foreign Tables, Languages, and Event Triggers, plus the Views OID-lookup query, interpolated the description directly inside a single-quoted SQL literal -- '{{ data.description }}' -- instead of passing it through the qtLiteral escape filter. An authenticated pgAdmin user with permission to create or alter the affected object types could submit a description containing an apostrophe, break out of the literal and chain arbitrary SQL. The injected SQL runs under the PostgreSQL role the user is already authenticated as; for a connected role with COPY ... TO/FROM PROGRAM (typically PostgreSQL superuser), this chains to OS command execution on the PostgreSQL host. The defect does not cross a privilege boundary -- the user already has direct SQL access to that role through pgAdmin's Query Tool -- so the attacker gains no capability beyond what their database role already grants. The marginal impact captures bypass of any application-layer Query Tool gating an operator may have configured.
The defect was originally reported against the Domain Dialog description field; a code-wide audit identified sixteen sites of the same pattern across the templates listed above. The same review also surfaced ten related sinks in the pgstattuple/pgstatindex stats templates -- pgstattuple('{{schema}}.{{table}}') and the matching pgstatindex shape -- where qtIdent escapes embedded double quotes inside the identifier but not apostrophes, so a user with CREATE privilege on a schema could plant a table or index named foo'bar and a later stats viewer would render an unbalanced literal.
Fix is layered:
Sites: replace every '{{ x.description }}' with {{ x.description|qtLiteral(conn) }} (no surrounding quotes -- the filter wraps the value in escaped quotes itself). Plumb conn=self.conn through every render_template call that loads one of these templates. Also corrects a { % elif Jinja typo in the foreign-table schema diff (dead branch). Rewrite the ten pgstattuple/pgstatindex stats sites to address the relation via OID + ::oid::regclass cast (e.g. pgstattuple({{ tid }}::oid::regclass)), eliminating the embedded literal-call form entirely so that bug-class can no longer recur there.
Driver hardening: qtLiteral (in utils/driver/psycopg3/__init__.py) used to silently return the raw unescaped value when its conn argument was falsy. It now raises ValueError -- surfacing the entire bug class going forward. The change immediately uncovered eight latent plumbing bugs (in schemas/__init__.py, schemas/functions/__init__.py, schemas/tables/utils.py, foreign_servers/__init__.py, and seven sites in roles/__init__.py) -- all fixed as part of this patch. The inner except block that swallowed adapter-level failures and returned the raw value is also removed, so unadaptable inputs raise instead of leaking unescaped values.
Regression tests: a per-template behavioural test renders each previously-vulnerable template with an apostrophe-injection payload and asserts the escaped fragment is present and the vulnerable fragment absent; a lint test walks every *.sql template flagging any '{{ ... }}' single-quote-wrapped interpolation against an explicit allowlist; unit tests cover the new qtLiteral fail-fast and inner-except raise paths.
This issue affects pgAdmin 4: from 1.0 before 9.16.
A security vulnerability is a weakness in software, hardware, or configuration that can be exploited to compromise confidentiality, integrity, or availability. Many vulnerabilities are tracked as CVEs (Common Vulnerabilities and Exposures), which provide a standardized identifier so teams can coordinate patching, mitigation, and risk assessment across tools and vendors.
CVSS (Common Vulnerability Scoring System) estimates technical severity, but it doesn't automatically equal business risk. Prioritize using context like internet exposure, affected asset criticality, known exploitation (proof-of-concept or in-the-wild), and whether compensating controls exist. A "Medium" CVSS on an exposed, production system can be more urgent than a "Critical" on an isolated, non-production host.
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Recurring findings usually come from incomplete Asset Discovery, inconsistent patch management, inherited images, and configuration drift. In modern environments, you also need to watch the software supply chain: dependencies, containers, build pipelines, and third-party services can reintroduce the same weakness even after you patch a single host. Unknown or unmanaged assets (often called Shadow IT) are a common reason the same issues resurface.
Use a simple, repeatable triage model: focus first on externally exposed assets, high-value systems (identity, VPN, email, production), vulnerabilities with known exploits, and issues that enable remote code execution or privilege escalation. Then enforce patch SLAs and track progress using consistent metrics so remediation is steady, not reactive.
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