VulnerabilityPublished 28 Oct 2026

CVE-2026-105615: DALIBO PostgreSQL Anonymizer · Exposure of Sensitive Information Through Data Queries

Affects DALIBO PostgreSQL AnonymizerSource CVE Database V5

Not known to be exploited · CVSS 3.5 Low : upgrade to 3.3.0 when convenient.

Data as of 28 Oct 2026, 17:58 UTC

CVSS 3.1 base score

3.5Low

How severe the flaw is on the 0–10 CVSS scale.

Patch: Available – fixed in 3.3.0

CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:L/I:N/A:N

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

Bold values are the worst case: easiest to exploit or largest impact.

Attack Vector: Network: The vulnerable component is bound to the network stack and the set of possible attackers extends beyond the other options listed, up to and including the entire Internet. Such a vulnerability is often termed 'remotely exploitable' and can be thought of as an attack being exploitable at the protocol level one or more network hops away (e.g., across one or more routers).
Attack Complexity: Low: Specialized access conditions or extenuating circumstances do not exist. An attacker can expect repeatable success against the vulnerable component.
Privileges Required: Low: The attacker is authorized with (i.e., requires) privileges that provide basic user capabilities that could normally affect only settings and files owned by a user. Alternatively, an attacker with Low privileges may have the ability to cause an impact only to non-sensitive resources.
User Interaction: Required: Successful exploitation of this vulnerability requires a user to take some action before the vulnerability can be exploited.
Scope: Unchanged: An exploited vulnerability can only affect resources managed by the same security authority. In this case, the vulnerable component and the impacted component are either the same, or both are managed by the same security authority.
Confidentiality: Low: There is some loss of confidentiality. Access to some restricted information is obtained, but the attacker does not have control over what information is obtained, or the amount or kind of loss is limited. The information disclosure does not cause a direct, serious loss to the impacted component.
Integrity: None: There is no loss of integrity within the impacted component.
Availability: None: There is no impact to availability within the impacted component.

Definitions: FIRST CVSS v3.1 specification.

Exploitation evidence

Disclosed: evidence found.
CVE published 28 Oct 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.

Disclosed: The CVE record is public on cve.org. Its publication is t = 0.
Detectable: A public nuclei template can find exposed instances, for defenders and attackers alike.
Weaponised: Public exploit code exists in Metasploit or Exploit-DB, or CISA SSVC or the CVSS exploit maturity reports a public proof of concept.
Exploited in the wild: CISA KEV lists it, CISA SSVC rates exploitation active, or a source reports attacks.
Observed by OffSeq Mirage: OffSeq Mirage honeypot sensors recorded attack traffic for this CVE, or found exposed hosts without attack traffic.

Moments are spaced evenly, not to scale; a dashed line marks a gap of six months or more. Deltas count from t = 0. Sources that give only a date (CISA KEV, Exploit-DB, or a time of exactly 00:00Z) read “same day” rather than hours. Metasploit modules carry the flaw’s disclosure date, not their release date, and nuclei templates carry no date, so both appear above but not on the timeline.

What to do

Upgrade PostgreSQL Anonymizer and dalibo/postgresql_anonymizer to 3.3.0.

Affected software

Product	Affected	Fixed in
DALIBOPostgreSQL Anonymizer	Affected >=1 <3.3.0	Fixed in 3.3.0
GitHubdalibo/postgresql_anonymizer`pkg:github/dalibo/postgresql_anonymizer`Other threats	Affected <3.3.0 >=1	Fixed in 3.3.0

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

Upgrade to DALIBO PostgreSQL Anonymizer version 3.3.0 or later, where this vulnerability is fixed. No other mitigation is required as the fix fully addresses the issue.

Description

CVE-2026-105615 is a vulnerability in DALIBO PostgreSQL Anonymizer versions prior to 3.3.0 where optimized statistics on a table are accessible to users with SELECT privileges. This allows a masked role to infer limited sensitive information through statistical views such as histograms and most common values (MCVs). The issue is resolved in version 3.3.0 and later.

Impact

An attacker with SELECT privileges on a table can access optimized statistics views that reveal limited sensitive information through histograms and most common values. The impact is limited to confidentiality with no effect on integrity or availability. There are no known exploits in the wild.

Summary

The vulnerability arises because PostgreSQL's optimized statistics on a table remain visible to any user with SELECT privilege on that table. In DALIBO PostgreSQL Anonymizer versions before 3.3.0, this exposure enables a masked role to extract limited sensitive data by querying the statistics views, specifically histograms and MCVs. This can lead to unintended disclosure of sensitive information despite anonymization efforts. The vulnerability has a CVSS 3.1 base score of 3.5 (low severity) and does not affect data integrity or availability. It is fixed in PostgreSQL Anonymizer version 3.3.0.

References

gitlab.com/dalibo/postgresql_anonymizer/-/issues/693 (opens in a new tab)

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Exploitation evidence

What to do

Affected software

Description

AI analysisMachine-generated, updated 28 Oct 2026, 17:58 UTC

Technical details

References

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