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CVE-2026-44477 — Vulnerability in...

CRITICAL

CloudNativePG's metrics exporter allows privilege escalation to PostgreSQL superuser and OS RCE

Published May 11, 2026Updated September 10, 2026Source: osv

Summary

### Impact The CloudNativePG metrics exporter opens its PostgreSQL connection as the `postgres` superuser via the pod-local Unix socket, then demotes the session with `SET ROLE pg_monitor`. `SET ROLE` changes only `current_user`; `session_user` remains `postgres`. That residual superuser identity is the foothold for the rest of the chain. Any SQL expression evaluated inside the scrape session can invoke `RESET ROLE` to recover real superuser privileges, then use `COPY ... TO PROGRAM` to spawn an OS-level subprocess as the `postgres` user inside the primary pod. The `READ ONLY` transaction flag does not block this; it gates writes to database state, not external processes. Two exploitation paths follow from this root cause. #### Path 1: custom metric queries with unqualified identifiers (all supported releases) A database user who owns a schema on the `search_path` of any scraped database can plant a shadow object whose name matches an unqualified identifier in a custom metric query. When the exporter next evaluates that query, the shadow expression executes inside the `session_user = postgres` scrape session, giving the attacker PostgreSQL superuser privileges and OS command execution inside the primary pod within one scrape interval (≤30 s). Exploitability requires a custom metric query that contains an unqualified relation or function reference. Although `search_path` shadowing of unqualified identifiers is the most direct case, the underlying bug is that any expression evaluated inside the scrape session is a superuser code path. Other exploitable shapes include user-defined functions, operators or casts resolved during the scrape, joins or subqueries against user-owned tables and views, and index expressions or RLS policies on read-touched objects. #### Path 2: stock `default-monitoring.yaml` (all supported releases, no custom metrics required) The `pg_extensions` metric shipped in `default-monitoring.yaml` used an unqualified `current_database()` call and ran against every user database (`target_databases: '*'`). Any non-superuser who owns a user database (including the default `app` role created by `bootstrap.initdb`) could shadow `current_database()` and trigger the full escalation chain against a stock CNPG deployment on the first scrape after the shadow was planted. #### Combined impact The chain yields privilege escalation from a low-privileged database role (e.g. the default `app` role) to PostgreSQL superuser, plus arbitrary OS command execution as the `postgres` user inside the primary pod, all within one scrape interval. A web application SQL injection vulnerability in an app backed by a CNPG cluster is therefore sufficient to pivot to database-pod RCE. #### Who is impacted - All deployments on any supported release with default monitoring enabled are affected by Path 2. - All deployments on any supported release that use custom metric queries containing unqualified catalog references are affected by Path 1. - Multi-tenant platforms that allow customers to supply or influence custom metric query bodies are at the highest risk for Path 1. ### Patches Three separate patches address the vulnerability. #### Patch 1: PR #10576 "schema-qualify catalog references in default monitoring queries and documentation samples" Schema-qualifies all unqualified `pg_catalog` function and view references in the shipped `default-monitoring.yaml` and in documentation examples. This closes Path 2 in operator-shipped configuration and removes the unqualified-identifier attack surface from all operator-shipped metric queries. Operators who clone or copy `default-monitoring.yaml` into custom monitoring `ConfigMap`s, or have copy-pasted unqualified queries elsewhere, must re-qualify those queries themselves. Backported to all currently supported releases: - **v1.29.x** (x ≥ 1) - **v1.28.x** (x ≥ 3) #### Patch 2: "dedicated `cnpg_metrics_exporter` role with `pg_ident.conf` peer mapping" Introduces a dedicated `cnpg_metrics_exporter` PostgreSQL role (granted `pg_monitor`, no superuser privileges) and maps it in `pg_ident.conf` via peer authentication on the local Unix socket, following the same pattern already used for `cnpg_pooler_pgbouncer`. The metrics exporter connects as this role instead of `postgres`, so `session_user` is never a superuser and `RESET ROLE` has no escalation effect. This eliminates the root cause entirely. Demoting the session at the SQL level (via `SET SESSION AUTHORIZATION pg_monitor`) is not sufficient: the privilege check for `SET SESSION AUTHORIZATION` is whether the *authenticated* user is a superuser, not the current `session_user`. With the connection still authenticated as `postgres`, any SQL in the session can run `RESET SESSION AUTHORIZATION` and recover the original superuser identity. This is the same recovery primitive as `RESET ROLE`, one layer up. Only changing the authenticated user closes the loop. With this change in place, the original chain breaks at every step: `RESET ROLE` and `RESET SESSION AUTHORIZATION` cannot recover superuser, and `COPY ... TO PROGRAM` requires a privilege `pg_monitor` does not grant. As defense in depth, the monitoring transaction also prepends `pg_catalog` to the connection's `search_path`, so unqualified catalog identifiers cannot resolve to user-planted shadow objects. This patch changes the connection identity but not how queries are evaluated. Custom metric queries within `pg_monitor`'s scope (catalog reads, `pg_stat_*` views, settings) continue to work without modification. Queries that previously relied on superuser-level access (reading user-owned tables not granted to `cnpg_metrics_exporter`, or superuser-only catalogs such as `pg_authid` or `pg_subscription`) will fail and need explicit `GRANT` statements to `cnpg_metrics_exporter`. The role is created and maintained with `PASSWORD NULL`; any password set out-of-band is cleared on the next reconcile, so the role cannot be authenticated by password regardless of operator pre-creation. For replica clusters, upgrade the source primary cluster before any replica clusters that consume from it. The `cnpg_metrics_exporter` role is created on the source primary and replicates downstream; a replica cluster upgraded first will scrape against a missing role until the source primary upgrades or the role is created manually (see the monitoring documentation). The patch will be backported to all currently supported releases: - **v1.29.x** (x ≥ 1) - **v1.28.x** (x ≥ 3) ### Workarounds If upgrading immediately is not possible: 1. **Schema-qualify all identifiers in custom metric queries.** Use explicit `pg_catalog.` prefixes for all catalog functions and views (e.g. `pg_catalog.current_database()`, `pg_catalog.now()`). This is a partial mitigation: it closes the `search_path`-shadowing shape in operator- and user-supplied metric bodies, but other expression shapes (user-defined functions, operators or casts; joins or subqueries on user-owned tables and views; RLS policies on read-touched objects) remain superuser code paths until Patch 2 lands. 2. **Restrict database ownership.** Ensure only fully trusted roles own user databases in scraped clusters. The exploit requires the ability to plant an object on the metrics exporter's `search_path` in a scraped database, typically by owning the database (and therefore `public` via `pg_database_owner`) or by holding `CREATE` on a schema already reachable through `search_path`. *PG <15 caveat:* `public` grants `CREATE` to `PUBLIC` by default before PostgreSQL 15, so any authenticated role in a scraped database can plant a shadow object regardless of ownership. 3. **Limit the scope of `target_databases: '*'` queries.** Avoid `target_databases: '*'` unless every database in the cluster, and every role that owns one, is fully trusted. Where possible, restrict `target_databases` to specific, known-safe databases. 4. **Do not expose metric query SQL to untrusted users.** Multi-tenant platforms that allow customers to supply or influence custom metric query bodies should treat this as a critical trust boundary until the architectural fix is released. ### References - Fix (Patch 1): PR #10576 "schema-qualify catalog references in default monitoring queries and documentation samples" - Fix (Patch 2): "dedicated `cnpg_metrics_exporter` role with `pg_ident.conf` peer mapping" - Reported by: Mehmet Ince

Advisory Timeline

  • First published May 11, 2026 (154 days ago).
  • Last revised September 10, 2026 — 121 days after initial publication.

Remediation

Upgrade to the fixed version using your package manager.

Go
Update github.com/cloudnative-pg/cloudnative-pg to 1.29.1 or later
go get github.com/cloudnative-pg/cloudnative-pg@v1.29.1
Go
Update github.com/cloudnative-pg/cloudnative-pg to 1.28.3 or later
go get github.com/cloudnative-pg/cloudnative-pg@v1.28.3

After upgrading, run your dependency scanner again to confirm the vulnerability is resolved.

Affected Packages (2)

Affects 1 ecosystem: go (1).

PackageEcosystemAffectedFixed In
github.com/cloudnative-pg/cloudnative-pg
go
All versions1.29.1
github.com/cloudnative-pg/cloudnative-pg
go
All versions1.28.3

Vulnerability Classification

Common Weakness Enumeration (CWE) identifiers for this vulnerability type.

CVSS Score Breakdown

What the CVSS (Common Vulnerability Scoring System) 9.9 score means for each attack dimension.

Attack Vector
Network
Attack Complexity
Low
Privileges Required
Low
User Interaction
None
Scope
Changed
Confidentiality
High
Integrity
High
Availability
High

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H

Frequently Asked Questions

What is CVE-2026-44477?
CloudNativePG's metrics exporter allows privilege escalation to PostgreSQL superuser and OS RCE This vulnerability has been assigned a severity rating of CRITICAL (CVSS score: 9.9/10).
How do I check if my project is affected by CVE-2026-44477?
CVE-2026-44477 affects github.com/cloudnative-pg/cloudnative-pg. Use GeekWala's free vulnerability scanner to check your dependencies against CVE-2026-44477 and 200,000+ other known vulnerabilities.

Severity & Exploitability

CVSS Score
9.9

Exploitation is straightforward and causes maximum impact. Patch immediately.

Also Known As

GHSA-423p-g724-fr39
GO-2026-5106

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