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                            CERT-Renater

                Note d'Information No. 2026/VULN1114
_____________________________________________________________________

DATE                : 30/10/2026

HARDWARE PLATFORM(S): /

OPERATING SYSTEM(S): Systems running PostgreSQL Anonymizer versions
                                     prior to 3.3.

====================================================================
https://www.postgresql.org/about/news/postgresql-anonymizer-33-major-security-update-3423/
_____________________________________________________________________

PostgreSQL Anonymizer 3.3 : Major Security Update
Posted on 2026-10-28 by Dalibo
Related Open Source Security

Eymoutiers, France, October 27th, 2026

Dalibo is pleased to announce PostgreSQL Anonymizer 3.3 with a panel
of important security fixes.


Enhanced Privacy Protection for Your Data

PostgreSQL Anonymizer is an extension that hides or replaces personally
identifiable information (PII) or commercially sensitive data from
a PostgreSQL database.


The extension offers 6 different masking strategies:

    Dynamic Masking - Real-time data protection
    Static Masking - Permanent data transformation
    Replica Masking - Anonymized logical replication
    Backup Masking - Privacy-protected database exports
    Masking Views - Controlled data visibility
    Masking Data Wrappers - Extended protection across systems


Each strategy is complemented by an enhanced suite of Masking Functions,
including advanced techniques such as: Substitution, Randomization,
Faking, Pseudonymization, Partial Scrambling, Shuffling, Noise Addition
and Generalization.

The extension can be installed with Debian and RPM packages, an Ansible
role, a Docker image, etc. You can use it on most major DBaaS providers
including : Alibaba Cloud, Crunchy Bridge, Google Cloud SQL, IBM Cloud,
Microsoft Azure Database, Neon, Yandex It is also available on some
Postgres forks such as EDB Advanced Postgres, Greenplum and Yugabyte.

See the INSTALL section of the documentation for more details!


Important Security Update

Version 3.3 includes fixes for 12 critical vulnerabilities allowing some
users to gain superuser privileges under certain circumstances or
allowing masked users to access personal information.

These vulnerabilities are declared below:

    CVE-2026-110181: Masked roles read the authentic data through SQL 
     functions with a SQL-standard body
    CVE-2026-105615: Masked roles can read pg_stats
    CVE-2026-105616: The secret salt is readable in pg_db_role_setting
    CVE-2026-110183: After the static masking, pg_stats keeps the authentic
     values of the masked columns
    CVE-2026-105619: Masking rules are not applied through security_invoker
     views
    CVE-2026-105618: Dynamic masking does not work on inherited tables
    CVE-2026-110182: anon.partial() and anon.partial_email() can leak
     data
    CVE-2026-105617: Cached plans bypass transparent dynamic masking
    CVE-2026-105620: Unauthorized access via subqueries
    CVE-2026-105612: Data-modifying CTEs bypass the read-only restriction
    CVE-2026-105614: Unbounded memory allocation (DoS) in image functions
    CVE-2026-105613: DoS in range-based dummy functions

All users should upgrade the extension to version 3.3 as soon as possible.


Upgrade

Version 3.3 brings a series of new restrictions to prevent malicious
behaviours.

    Subqueries in masking rules are now forbidden
    Inlining of functions is disabled for transparent dynamic masking
    With dynamic masking, masked role are forbidden from executing
function with SQL-standard bodies. This includes functions in contrib
extensions that use this form (citext, earthdistance, etc. )

It is also strongly advised to change the value of the anon.salt GUC
parameter.

See the UPGRADE section for more details.


Acknowledgments

This release includes code, bugfixes, documentation, code reviews and
ideas from Alain Lesage, @dmeremyanin, Gregoire Hubert and other
contributors.

Kudos to @dmeremyanin for his first contributions !

The security issues were reported by Alexander Kukushkin and Ilya
Staroverov. Many thanks to them for their efforts, their availability
and the quality of their work.

And also special thanks to the PGRX team for their amazing work!


Join our community to improve data privacy!

PostgreSQL Anonymizer is part of the [Dalibo Labs] initiative. It is
mainly developed by [Damien Clochard] and [Benoit Lobréau].

This is an open project, contributions are welcome. We need your
feedback and ideas! Let us know what you think of this tool, how
it fits your needs and what features are missing.

If you want to help, you can find a list of Junior Jobs.


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