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Vulnerability

CVE-2026-61818: pg_partman is a PostgreSQL extension that manages partitioned tables by time or ID. Prior to 5.5.0, undo_partition() reads part_config.time_encoder as unrestricted text and interpolates it without identifier quoting into

Official source
EudorIA operational summary

What it means

Priority 70/100

NIST National Vulnerability Database ha pubblicato CVE-2026-61818. La rilevanza va confermata rispetto alle tecnologie effettivamente in uso.

Why it matters

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AudienceITSOCCISO
Information centre

Translation in progress

NIST National Vulnerability Database

The official content is available in the original language. The Italian version will be published once automated checks are complete.

Text acquired from the source

pg_partman is a PostgreSQL extension that manages partitioned tables by time or ID. Prior to 5.5.0, undo_partition() reads part_config.time_encoder as unrestricted text and interpolates it without identifier quoting into a dynamically executed SELECT statement. A role with partman_user access can store SQL rather than a function name, and the SQL executes with the privileges of the caller that invokes undo_partition(). The function is not part of the default background-worker path, which limits the automatic superuser escalation described by the related create-partition vulnerability, but a privileged caller can still have its available confidentiality, integrity, and availability permissions abused. This issue is fixed in version 5.5.0.

Source
NIST National Vulnerability Database
Publishing entity
NIST National Vulnerability Database
Entity type
National authority
Area
North America · US
Original language
en · translation in preparation
Publication
18/09/2026 22:17
CVE
CVE-2026-61818
Classification
High
Stated country
US
Technical scope

Affected products and versions

Not published
No structured range published.

The official sources queried do not yet expose a list of affected versions. No automatic inference is made.

Sources for the versionsNIST National Vulnerability Database
Open the original source