CVE-2025-5690 in PostgreSQL Anonymizer
Summary
by MITRE • 06/05/2025
PostgreSQL Anonymizer v2.0 and v2.1 contain a vulnerability that allows a masked user to bypass the masking rules defined on a table and read the original data using a database cursor or the --insert option of pg_dump. This problem occurs only when dynamic masking is enabled, which is not the default setting. The problem is resolved in version 2.2.1
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Analysis
by VulDB Data Team • 06/05/2025
The vulnerability identified as CVE-2025-5690 affects PostgreSQL Anonymizer versions 2.0 and 2.1, representing a significant security flaw that undermines the fundamental purpose of data masking operations. This issue specifically targets environments where dynamic masking has been explicitly enabled, creating a scenario where unauthorized access to original data can occur despite active masking policies. The vulnerability stems from insufficient validation mechanisms within the anonymization framework, allowing malicious actors or privileged users with appropriate database access to circumvent the protective measures that should prevent exposure of sensitive information. The flaw manifests through two primary attack vectors: database cursor operations and the --insert option functionality of pg_dump utility, both of which provide pathways to retrieve unmasked data directly from the underlying database tables.
The technical implementation of this vulnerability resides in the improper handling of masking rules during data retrieval operations. When dynamic masking is enabled, the anonymizer should consistently enforce masking policies regardless of how data is accessed or exported from the database system. However, the flaw allows bypassing these rules through direct cursor navigation or dump operations that operate outside the normal masking enforcement boundaries. This represents a failure in access control implementation and data protection mechanisms, with the vulnerability classified under CWE-284 Access Control Issues, specifically involving insufficient enforcement of access restrictions. The issue demonstrates a breakdown in the principle of least privilege where users with legitimate access to database operations can exploit implementation gaps to gain unauthorized visibility into masked data, potentially exposing sensitive information that should remain protected.
The operational impact of this vulnerability extends beyond simple data exposure to encompass potential compliance violations and regulatory breaches in environments governed by data protection regulations such as gdpr, hipaa, or pci dss. Organizations relying on PostgreSQL Anonymizer for data masking and privacy protection face significant risk of data leakage when this vulnerability is exploited, particularly in scenarios involving database administrators or users with elevated privileges who may have legitimate access to database operations but should not be able to bypass masking controls. The vulnerability affects the integrity of the anonymization process and can lead to unauthorized data disclosure through legitimate database administration tools and operations, undermining the security posture of systems that depend on data masking for compliance purposes. Attackers could potentially combine this vulnerability with other access privileges to gain comprehensive visibility into sensitive datasets, making it particularly dangerous in multi-layered security environments.
Mitigation strategies for CVE-2025-5690 focus primarily on upgrading to PostgreSQL Anonymizer version 2.2.1, which includes the necessary patches to address the bypass mechanisms. Organizations should conduct immediate assessments of their database environments to identify systems running affected versions and implement the upgrade process as a priority. Security teams should also review and restrict access to database cursors and pg_dump operations, particularly for users who do not require such functionality for legitimate administrative tasks. Additional defensive measures include implementing network-level restrictions on database access, monitoring for suspicious cursor operations or dump activities, and ensuring that dynamic masking is properly configured with appropriate access controls. The vulnerability highlights the importance of continuous security testing and validation of data protection mechanisms, particularly in environments where database administrators may have elevated privileges that could be exploited to bypass security controls. Organizations should also consider implementing additional monitoring and alerting for anomalous data access patterns that might indicate exploitation of this vulnerability, as the bypass occurs through legitimate database operations that may not immediately trigger traditional security alerts.