CVE-2026-44477

CloudNativePG is a platform designed to manage PostgreSQL databases within Kubernetes environments. Prior to 1.29.1 and 1.28.3, 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. 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. This vulnerability is fixed in 1.29.1 and 1.28.3.

CloudNativePG is a platform designed to manage PostgreSQL databases within Kubernetes environments. Prior to 1.29.1 and 1.28.3, 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. 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. This vulnerability is fixed in 1.29.1 and 1.28.3.

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 ConfigMaps, 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…

CloudNativePG is a platform designed to manage PostgreSQL databases within Kubernetes environments. Prior to 1.29.1 and 1.28.3, 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. 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. This vulnerability is fixed in 1.29.1 and 1.28.3.

CloudNativePG is a platform designed to manage PostgreSQL databases within Kubernetes environments. Prior to 1.29.1 and 1.28.3, 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. 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. This vulnerability is fixed in 1.29.1 and 1.28.3.

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 ConfigMaps, 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…

CloudNativePG's metrics exporter allows privilege escalation to PostgreSQL superuser and OS RCE in github.com/cloudnative-pg/cloudnative-pg

This update for govulncheck-vulndb fixes the following issues:

• Update to version 0.0.20260723T184607 2026-07-23T18:46:07Z (jsc#PED-11136).

Go CVE Numbering Authority IDs added or updated with aliases:

• GO-2026-4730 CVE-2026-33022 GHSA-cv4x-93xx-wgfj
• GO-2026-4761 CVE-2026-33211 GHSA-j5q5-j9gm-2w5c
• GO-2026-5102 CVE-2026-45021 GHSA-3vcp-chfh-f6r2
• GO-2026-5272 CVE-2026-40938 GHSA-94jr-7pqp-xhcq
• GO-2026-5486 CVE-2026-40924 GHSA-m2cx-gpqf-qf74
• GO-2026-5542 CVE-2026-40090 GHSA-pj97-4p9w-gx3q
• GO-2026-5630 CVE-2026-25542 GHSA-rmx9-2pp3-xhcr
• GO-2026-5643 CVE-2026-40923 GHSA-rx35-6rhx-7858
• GO-2026-5675 CVE-2026-41492 GHSA-vvf7-6rmr-m29q
• GO-2026-5711 CVE-2026-40161 GHSA-wjxp-xrpv-xpff
• GO-2026-5746 CVE-2026-41567 GHSA-x86f-5xw2-fm2r
• GO-2026-5749 CVE-2026-41328 GHSA-x92x-px7w-4gx4
• GO-2026-5837 CVE-2026-44840 GHSA-q2m9-6jp9-c6mc
• GO-2026-5929 CVE-2026-44342 GHSA-26v7-h57m-gh9m
• GO-2026-5930 CVE-2026-33655 GHSA-6qcr-qxgr-m7fv
• GO-2026-5933 GHSA-3g4q-2f67-2gvh
• GO-2026-5934 GHSA-59qp-cfj3-rp64
• GO-2026-5935 GHSA-7856-g3gv-9wq8
• GO-2026-5936 CVE-2026-53552 GHSA-26rh-24rg-j3vv
• GO-2026-5937 CVE-2026-53508 GHSA-2jcc-mxv7-p3f9
• GO-2026-5938 CVE-2026-53553 GHSA-4g5x-hcwm-82jw
• GO-2026-5939 CVE-2026-10517 GHSA-698x-9w2p-7vvp
• GO-2026-5940 CVE-2026-53572 GHSA-6w3m-4hhp-775q
• GO-2026-5941 CVE-2026-53487 GHSA-gvhc-wv3v-7pf8
• GO-2026-5942 CVE-2026-46600
• GO-2026-5944 CVE-2026-50197 GHSA-659f-rgp5-w4wf
• GO-2026-5945 CVE-2026-6815 GHSA-rmxx-v9rj-vpvg
• GO-2026-5946 CVE-2026-52831 GHSA-v5px-423j-pf7p
• GO-2026-5947 CVE-2026-53649 GHSA-xqhv-chqm-fhcc
• GO-2026-5948 CVE-2026-50554 GHSA-588f-fvcv-xhvf
• GO-2026-5949 CVE-2026-50553 GHSA-rqrh-8wpv-x7hh
• GO-2026-5950 CVE-2026-53602 GHSA-339v-266x-79xr
• GO-2026-5951 CVE-2026-10219 GHSA-6jm8-4fhr-5w64
• GO-2026-5952 CVE-2026-49834 GHSA-9vcr-p3rj-q5q6
• GO-2026-5953 CVE-2026-9094 GHSA-c9w5-qp6m-m395
• GO-2026-5956 CVE-2026-55252 GHSA-h5g6-xmh4-hc37
• GO-2026-5957 CVE-2026-54158 GHSA-5xfx-xj4h-5p7r
• GO-2026-5958 CVE-2026-54068 GHSA-gcm7-57gf-953c
• GO-2026-5959 CVE-2026-54072 GHSA-h29v-hj44-q8cv
• GO-2026-5961 CVE-2026-54069 GHSA-hvr9-72v2-fff3
• GO-2026-5962 CVE-2026-54088 GHSA-m93h-4hw7-5qcm
• GO-2026-5963 CVE-2026-54067 GHSA-mvjr-vv3c-w4qv
• GO-2026-5964 CVE-2026-54066 GHSA-p4m3-mgmm-c664
• GO-2026-5965 CVE-2026-54070 GHSA-w7cg-whh7-xp28
• GO-2026-5966 CVE-2026-54089 GHSA-xqp3-jq6g-x3qm
• GO-2026-5967 CVE-2026-50551 GHSA-56mp-4f3v-fgj2
• GO-2026-5968 CVE-2026-54174 GHSA-fpg8-7664-jc5q
• GO-2026-5969 GHSA-g936-7jqj-mwv8
• GO-2026-5970 CVE-2026-56852
• GO-2026-5973 CVE-2026-54250 GHSA-jxr7-mqhw-9p98
• GO-2026-5974 CVE-2026-44300 GHSA-wmj8-9953-vff5
• GO-2026-5975 CVE-2026-50018 GHSA-42j2-w334-qxw7
• GO-2026-5976 CVE-2026-50141 GHSA-g7mm-9vx7-jm7h
• GO-2026-5977 CVE-2026-50013 GHSA-qrh4-p6v4-mrfg
• GO-2026-5978 CVE-2026-50125 GHSA-qw5r-ppcg-f8rj
• GO-2026-5979 CVE-2026-50006 GHSA-xrcf-6jh3-ggvx
• GO-2026-5980 CVE-2026-50158 GHSA-2c7f-fxww-6w6c
• GO-2026-5981 GHSA-mqxv-9rm6-w8qc
• GO-2026-5982 GHSA-pqg7-v6wh-3pfp
• GO-2026-5984 CVE-2026-53604 GHSA-2p2f-px33-4vv5
• GO-2026-5985 GHSA-7rx3-5wx3-5v76
• GO-2026-5986 CVE-2026-61699 GHSA-cm26-5974-52h8
• GO-2026-5987 CVE-2026-55513 GHSA-g4x6-jcvr-9m3g
• GO-2026-5988 CVE-2026-54628 GHSA-hwrq-8wxh-q4xv
• GO-2026-5989 CVE-2026-55512 GHSA-m3cx-mwpg-32jg
• GO-2026-5990 CVE-2026-54629 GHSA-mf78-3rpf-r784
• GO-2026-5991 CVE-2026-53603 GHSA-q4vm-pq3q-8wgq
• GO-2026-5992 CVE-2026-61549 GHSA-qf34-295c-26v8
• GO-2026-5996 CVE-2026-54450 GHSA-pph6-vfjv-vpjw
• GO-2026-5997 CVE-2026-54452 GHSA-xgch-x3mx-cm3c
• GO-2026-5998 CVE-2026-54495 GHSA-398h-7f66-3h4p
• GO-2026-5999 CVE-2026-10814 GHSA-jh6h-v6mp-h22v
• GO-2026-6002 CVE-2026-58196 GHSA-pr64-jmmf-jp54
• GO-2026-6003 CVE-2026-53714 GHSA-22xc-xg2r-9j7v
• GO-2026-6004 CVE-2026-52833 GHSA-3v79-m2cg-89ww
• GO-2026-6005 CVE-2026-53715 GHSA-8fv2-88gg-hm7q
• GO-2026-6006 CVE-2026-53716 GHSA-cxpq-8v7q-cg56 *…