🎯 CVE-2026-12044 HIGH 8.7 🔥 EPSS 71% 🧪 PoC 🇪🇺 EUVD
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CVE-2026-12044 | 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 authen

SQL injection in pgAdmin 4 across every dialog template that renders ``COMMENT ON ... IS ''`` 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:

1. 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.

2. 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.

3. 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.

Klassifikation & Betroffenheit:
pgadmin.org pgAdmin 4 1.0 <9.16pgadmin pgadmin_4 *
Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') 🎯 High

The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as…

🛡️ Empfohlene Mitigation: Use a vetted library or framework that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid [REF-1482]. For example, consider using persistence layers such as Hibernate or Enterprise Java Beans, which can provide significant protection against SQL injection if used proper…
Vollständige Definition bei MITRE ➔
🩹 Patch verfügbar (OSV):
🩹 888a053231923e6704b56165cf248db056252144 (Commit) 🩹 2ae0d3610 (Commit)
📚 Referenzen & Quellen:
Ausnutzungs-Zeitleiste:
CVSS-Vektor-Analyse: 8.7
AV · Angriffsvektor Netzwerk
AC · Komplexität Gering
PR · Privilegien Gering
UI · Interaktion Keine
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N
Veröffentlicht:19.06.2026
Aktualisiert:01.07.2026 19:23
Assigner (CNA):PostgreSQL
EUVD-ID:EUVD-2026-37963
Quellen: 🇪🇺 EUVD-Datenbank (ENISA) + 🇺🇸 NVD-Anreicherung · 24-h-Cache
CWE-89: SQL Injection ✓ Offizieller Patch / Advisory verfügbar
💡 Gegenmaßnahme: Sicherheits-Update des Herstellers zeitnah einspielen und Netzwerksegmentierung prüfen.
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354k+ 🇪🇺 EUVD-Datenbank
0 🔴 Critical im Radar
0 ⚠️ CISA KEV
0 🔓 Aktiv ausgenutzt
1 🧪 PoC verfügbar
📊 Historien-Charts — Criticals-Trend · Vendors · EPSS-Verteilung
🔴 Criticals pro Monat (12 M) 2025-09: 164 2025-10: 316 2025-11: 257 2025-12: 426 2026-01: 431 2026-02: 418 2026-03: 652 2026-04: 574 2026-05: 683 2026-06: 942 2026-07: 1333 2026-08: 1329 7.525 Criticals gesamt
🏢 Top-Vendor-Veröffentlichungen (6 M) Adobe Apple Google Linux Microsoft Oracle Corporation
● Adobe ● Apple ● Google ● Linux ● Microsoft ● Oracle
📈 EPSS-Verteilung (Messungen)
Tier2026-08-292026-09-14
≥90 %40
≥50 %40
≥10 %30
<10 %304300
Datenquellen & Methodik: Primärquelle ist die EUVD der ENISA (laufender Datenbank-Sync, alle 15 Minuten), abgeglichen mit dem CISA-KEV-Katalog und der NVD — Detail-Dossiers reichern fehlende Felder live per NVD an — mit Fallback auf CIRCL vulnerability-lookup (EU/Non-Profit, aggregiert CVE-, GitHub- und OSV-Advisories). Der CISA-KEV-Katalog (Known Exploited Vulnerabilities, ~1.700 aktiv ausgenutzte Schwachstellen) wird bei jedem Sync vollständig neu geladen und kreuzreferenziert — filterbar über die KEV-Pille. CVSS 3.1 wird nach Ampel-Logik aus Verteidigersicht dekodiert; EPSS bezeichnet die 30-Tage-Exploit-Wahrscheinlichkeit (FIRST.org).
🇪🇺 ENISA EUVD 🇺🇸 NVD ⚠️ CISA KEV ⚡ EPSS
Ökosystem & Hersteller Bedrohungs-Matrix:
Schweregrad & Status:
Hersteller (Datenbank-weit, 90.597 Einträge):
Quelle:
Schwachstellen-Kategorie (CWE):
🔍
8.7 HIGH
🇪🇺 EUVD
EPSS 71%
CVE-2026-12044 🌐 Netzwerk (Remote) 🔑 Geringe Nutzerrechte nötig
🧪 pgadmin.org

CVE-2026-12044 | 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 authen

SQL injection in pgAdmin 4 across every dialog template that renders ``COMMENT ON ... IS ''`` for a user-supplied description field. The Jinja templates for Domains (and their constraints), Foreign Tables, Languages, and Event Triggers, plu

CWE-89: SQL Injection ✓ Offizieller Patch / Advisory verfügbar
💡 Gegenmaßnahme: Sicherheits-Update des Herstellers zeitnah einspielen und Netzwerksegmentierung prüfen.