PostgreSQL Anonymizer contains a vulnerability that allows a user to gain superuser privileges by creating a temporary view based on a function containing malicious code. When the anon.get_tablesample_ratio function is then called, the malicious code is executed with superuser privileges. This privilege elevation can be exploited by users having the CREATE privilege in PostgreSQL 15 and later. The risk is higher with PostgreSQL 14 or with instances upgraded from PostgreSQL 14 or a prior version because the creation permission on the public schema is granted by default. The problem is resolved in PostgreSQL Anonymizer 3.0.1 and further versions
Conclusion & alert: CVE-2026-2361 is rated Low Risk (39/100): CVSS High severity, with low exploitation likelihood (EPSS 0.28%). Mandatory action: Monitor for updates and reassess as exploit intelligence or EPSS changes.
Risk is dynamic; we continuously reassess and refresh what is shown on this page as upstream context changes.
EPSS lead: Daily EPSS estimates relative likelihood of exploitation; percentile ranks this CVE among scored vulnerabilities (higher = more severe relative rank).
| # | Date | Old EPSS score | New EPSS score | Delta (New - Old) |
|---|---|---|---|---|
| 1 | 2026-06-15 | 0.05% | 0.28% | +0.23% |
| 2 | 2026-02-17 | 0.04% | 0.05% | +0.01% |
| 3 | 2026-02-12 | — | 0.04% | — |
Full EPSS history (3 records total)
CVSS metrics for this CVE.
| Base score | Version | Severity | Vector | Exploitability | Impact | Score source |
|---|---|---|---|---|---|---|
| 8.0 | 3.1 | HIGH |
|
1.3 | 6.0 | f86ef6dc-4d3a-42ad-8f28-e6d5547a5007 |
| vendor | priority | summary | link |
|---|---|---|---|
ubuntu
|
medium | CVE-2026-2361 medium priority: Ubuntu including 8 source packages (postgresql-10, postgresql-12, …), 36 status rows across 8 suites (bionic, focal, jammy, noble, questing, trusty, upstream, xenial): DNE 21, not-affected 10, ignored 4, deferred 1. | https://ubuntu.com/security/CVE-2026-2361 |
| Vendor | Product | Version | Raw CPE |
|---|---|---|---|
| No affected products in dataset. | |||