CVE-2026-105618 in PostgreSQL Anonymizer
Summary
by MITRE • 10/28/2026
PostgreSQL Anonymizer's documentation recommends applying rules on partitions and inheritance tables. Direct access to the paritions / inheritance tables is masked but not thru the parent table. The problem is resolved in PostgreSQL Anonymizer 3.3.0 and later versions.
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Analysis
by VulDB Data Team • 10/28/2026
The vulnerability identified within PostgreSQL Anonymizer stems from an inconsistency in how data masking rules are applied across database schema structures, specifically concerning partitioned tables and inheritance hierarchies. In relational databases like PostgreSQL, it is common practice to organize large datasets using table partitioning or object-oriented inheritance models to improve query performance and manageability. When implementing privacy-preserving measures such as column-level anonymization, the security controls must be uniformly enforced across all logical representations of that data. The flaw arises because while direct access attempts to individual partitions or child tables are correctly masked according to configured rules, these same protections fail when accessing the data through the parent table interface. This architectural oversight creates a significant blind spot in the organization's data protection strategy, allowing sensitive information to be exposed under specific query patterns that route traffic through the parent entity rather than addressing the underlying storage units directly.
From a technical perspective, this issue represents a classic case of incomplete masking where security controls are not propagated correctly across related database objects. The vulnerability allows an authorized user or application with access to the parent table to retrieve unmasked sensitive data by querying the aggregate view provided by that parent object. This behavior contradicts the principle of least privilege and consistent policy enforcement, as the effective level of protection depends entirely on how the query is constructed rather than on who is executing it or what data they are attempting to access. Such inconsistencies can be exploited in scenarios where attackers have legitimate read-only access but lack direct permissions for specific partitions, thereby bypassing intended privacy controls through indirect access paths that were not adequately secured during rule configuration.
The operational impact of this vulnerability is substantial, particularly for organizations handling regulated personal identifiable information or other sensitive datasets subject to compliance frameworks such as GDPR, HIPAA, or PCI-DSS. If an attacker can exploit this path to retrieve unmasked data, it constitutes a direct breach of confidentiality requirements mandated by these standards. The risk is exacerbated in environments where partitioning is used extensively for performance optimization, as the number of potential indirect access vectors increases with the complexity of the schema. Furthermore, because the parent table often serves as the primary interface for many applications and reporting tools, this flaw could lead to widespread exposure if not detected promptly by security monitoring systems that may only audit direct object accesses rather than logical query paths through inherited structures.
This vulnerability aligns closely with CWE-200, which describes Information Exposure, specifically where sensitive information is accessible via unintended access channels due to improper configuration or implementation errors in access control mechanisms. In the context of the MITRE ATT&CK framework for database attacks, this flaw facilitates techniques related to Data from Local System and potentially T1537, as it allows an adversary to exfiltrate data through alternative paths that bypass standard security boundaries. The exploitation does not require privilege escalation or authentication bypass but relies on a misunderstanding or misconfiguration of how masking rules interact with PostgreSQL's inheritance and partitioning features.
To mitigate this risk, organizations must ensure that their database anonymization tools are updated to the latest stable version where these logical gaps have been addressed. Specifically, upgrading to PostgreSQL Anonymizer version 3.3.0 or later resolves the issue by ensuring that masking rules applied to parent tables automatically propagate to all child partitions and inherited structures. Beyond software updates, administrators should conduct a thorough audit of their current database schema configurations to identify any existing partitioned or inherited tables where direct access controls might differ from aggregate view controls. Implementing rigorous testing procedures that include queries against both parent and child entities can help verify the effectiveness of masking policies before deployment in production environments. Additionally, adopting a defense-in-depth strategy by combining application-level anonymization with database-level security controls provides an additional layer of protection should future vulnerabilities or configuration drift occur.