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PostgreSQL Anonymizer EUVDEUVD-2026-112295

| CVE-2026-110182 MEDIUM
Protection Mechanism Failure (CWE-693)
2026-10-28 PostgreSQL GHSA-qr6f-75wq-748v
4.3
CVSS 3.1 · Vendor: PostgreSQL
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Attack ChainAIDerived

Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain

  1. Access
    Authenticate to PostgreSQL as masked-data role
  2. Exploit
    Query column protected by anon.partial()/anon.partial_email()
  3. Execution
    Short value defeats partial masking
  4. Impact
    Read original sensitive data

Vulnerability Assessment

Weakness
CWE
OWASP Top 10:2025
A06:2025 - Insecure Design
ASVS 5.0
V15 - Secure Coding and Architecture Protection mechanism completeness
Exploitation Conditions

Exploitation requires that the target database actually uses the anon.partial() or anon.partial_email() masking functions on a column, AND that the underlying value is small enough that partial masking leaves the data effectively unredacted - both the feature use and short data are prerequisites named in the description. The attacker must also be an authenticated user (CVSS PR:L) with query access to the masked column. Limiting factors: deployments that do not use these two specific partial-masking functions are unaffected; values large enough to be meaningfully masked are not disclosed; and the attacker cannot reach the data without existing authenticated database access. The precise size threshold that triggers disclosure is not described in the available sources.

Impact

This is a moderate, authenticated information-disclosure flaw (CWE-693, Protection Mechanism Failure) rather than a high-urgency issue. The supplied CVSS 3.1 vector (AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N, base 4.3) indicates a network-reachable but authenticated attacker (PR:L) gaining only limited confidentiality impact (C:L) with no integrity or availability effect - consistent with a masking function that leaks original values rather than a system compromise. There is no CISA KEV listing and no EPSS score provided in the input, and the single reference is a Dalibo GitLab issue tracker entry, not verified working exploit code, so there is no public exploit identified at time of analysis. The vuln.today decision label is 'this_month', which aligns with the low CVSS and absence of exploitation signals - this is a patch-in-routine-cycle issue, not an emergency. The main caveat: the signal set is thin (no EPSS, no SSVC vector, no vendor advisory beyond the issue link), so the assessment rests mainly on the CVSS vector and the terse description.

Exploit ScenarioDerived

An authenticated low-privilege PostgreSQL user who is only supposed to see masked output queries a column protected by anon.partial() or anon.partial_email(); because the value is short enough, the masking leaves little or nothing redacted and the original sensitive data (e.g. a short name or email local-part) is returned in cleartext. No public exploit code is identified, and exploitation requires existing authenticated access to the masked data per the CVSS vector (PR:L).

This Month Plan within 30 days. Why: MEDIUM severity (CVSS 4.0-6.9).
Patch available

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AnalysisAIv1 – Oct 28, 2026

PostgreSQL Anonymizer before 3.3.0 can disclose entire column values through the anon.partial() and anon.partial_email() masking functions when the underlying data is short enough that partial masking leaves it effectively unredacted. An authenticated database user with query access to an affected masked column can obtain more of the original value than intended, producing a low confidentiality impact (CVSS 4.3, PR:L). The vendor issue states the weakness is fixed in 3.3.0 and later; no active exploitation or public exploit is identified in the supplied intelligence, and the decision label is this_month.

RemediationAI

Upgrade PostgreSQL Anonymizer to version 3.3.0 or later, as stated in the vendor issue https://gitlab.com/dalibo/postgresql_anonymizer/-/issues/722. The supplied references do not document a specific workaround; if an immediate upgrade is not possible, avoid applying anon.partial() and anon.partial_email() to columns whose full value would be sensitive when short, and replace those uses with full masking or custom redaction logic, accepting the loss of partial-display functionality. In addition, restrict SELECT privileges on columns using these functions to users who are authorized to see the underlying data, recognizing that privilege restriction reduces exposure but does not correct the masking behavior itself.

Affected VersionsENISA

PostgreSQL Anonymizer 1 <3.3.0

Affected Packages

euvd postgresql_anonymizer fix: 3.3.0

Source: OSV (Open Source Vulnerabilities)

Affects your stack

Affects 1 package in euvd

Checking this CVE against your own stacks and servers is part of the Basic plan and up.

Technical ContextAI · show details

PostgreSQL Anonymizer is a PostgreSQL extension that supplies masking functions for redacting sensitive column data. This issue is classified as CWE-693, Protection Mechanism Failure: anon.partial() and anon.partial_email() are intended to return a partially masked representation, but for sufficiently small input values the masking can leave the data effectively unredacted. Exploitation requires that a deployment actually use one of these two functions on a column and that the stored value be short enough for the masking to fail to conceal it; the supplied sources do not describe the precise size threshold. The CVSS vector AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N indicates that an authenticated user (PR:L) with query access is required, with low confidentiality impact and no integrity or availability impact. The CPE cpe:2.3:a:dalibo:postgresql_anonymizer:*:*:*:*:*:*:*:* identifies the Dalibo PostgreSQL Anonymizer extension as the affected product.

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Severity by source

Vendor (PostgreSQL) PRIMARY 4.3 MEDIUM
AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N
vuln.today AI 4.3 MEDIUM

Authenticated database user needed to query masked data (PR:L), reachable over the network (AV:N); impact is limited disclosure of small masked values (C:L) with no integrity or availability effect.

3.1 AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N
4.0 AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N

Primary rating from Vendor (PostgreSQL).

CVSS VectorVendor: PostgreSQL

Attack Vector
Network
Attack Complexity
Low
Privileges Required
Low
User Interaction
None
Scope
Unchanged
Confidentiality
Low
Integrity
None
Availability
None

Lifecycle Timeline

1
Patch available
Oct 28, 2026 - 18:18 EUVD

DescriptionCVE.org

PostgreSQL Anonymizer contains a vulnerability related to the anon.partial() and anon.partial_email() functions. These function can reveal the while data if the data is small enough. The issue is fixed in PostgreSQL Anonymizer 3.3.0 and later versions.

Threat Intelligence Overview

Prevalence
Low
niche Dalibo PostgreSQL data-masking extension, specialized deployment
Data Quality
3 sources
Confidence: Low

How this decision was reached

The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.

SignalValue
Severity MEDIUM
CISA KEV No
Public POC No
EPSS N/A
Patch available Yes
Active threat No
Deciding rule
MEDIUM severity (CVSS 4.0-6.9)
What every action level means
Emergency Immediate action required. Criteria: CRITICAL + in CISA KEV (actively exploited) without patch, OR CRITICAL + EPSS > 30% without patch, OR CRITICAL + active threat signals without patch.
Act Now Prioritize within 24-48h. Criteria: in KEV with patch available, OR CRITICAL + public POC, OR HIGH + EPSS > 10%, OR CRITICAL + active threat, OR any CRITICAL severity.
This Week Schedule remediation this week. Criteria: HIGH severity (CVSS 7.0-8.9). Patch within normal change window.
This Month Plan within 30 days. Criteria: MEDIUM severity (CVSS 4.0-6.9), lower exploitation probability. Include in regular patch cycle.
Monitor Track and reassess. Criteria: LOW severity (CVSS 0.1-3.9), minimal exploitation risk. No immediate action needed.

SSVC AssessmentENISA

SSVC Decision· derived
Scheduled
Exploitation· derived
None
System Exposure· derived
Open
Automatable· derived
No
Human Impact· derived
Medium

Priority Score

22
Low Medium High Critical
KEV: 0
EPSS: 0
CVSS: +22
PoC: 0
Weaponized: 0
Threat intel: 0
Gov advisory: 0

Attack Technique

Information disclosure occurs when an application unintentionally exposes sensitive data that aids attackers in reconnaissance or directly compromises security.

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