High finding on PostgreSQL 14.17 installed in steampipe - CVE-2025-8715 #4644
Description
Nessus scans are indicating a High vulnerability finding on the PostgreSQL version 14.17 installed with Steampipe 1.x, with CVE-2025-8715. Can we please get the newer version of PostgreSQL, at least 14.19, for Steampipe 1.x? Due to FIPs requirements we are running RHEL 8, so cannot upgrade to Steampipe 2.x at this time.
High PostgreSQL 13.x < 13.22 / 14.x < 14.19 / 15.x < 15.14 / 16.x < 16.10 / 17.x < 17.6 Multiple Vulnerabilities
Description
The version of PostgreSQL installed on the remote host is 13 prior to 13.22, 14 prior to 14.19, 15 prior to 15.14, 16 prior to 16.10, or 17 prior to 17.6. As such, it is potentially affected by multiple vulnerabilities :
- Improper neutralization of newlines in pg_dump in PostgreSQL allows a user of the origin server to inject arbitrary code for restore-time execution as the client operating system account running psql to restore the dump, via psql meta-commands inside a purpose-crafted object name. The same attacks can achieve SQL injection as a superuser of the restore target server. pg_dumpall, pg_restore, and pg_upgrade are also affected. Versions before PostgreSQL 17.6, 16.10, 15.14, 14.19, and 13.22 are affected. Versions before 11.20 are unaffected. CVE-2012-0868 had fixed this class of problem, but version 11.20 reintroduced it.
(CVE-2025-8715)
- Untrusted data inclusion in pg_dump in PostgreSQL allows a malicious superuser of the origin server to inject arbitrary code for restore-time execution as the client operating system account running psql to restore the dump, via psql meta-commands. pg_dumpall is also affected. pg_restore is affected when used to generate a plain-format dump. This is similar to MySQL CVE-2024-21096. Versions before PostgreSQL 17.6, 16.10, 15.14, 14.19, and 13.22 are affected. (CVE-2025-8714)
- PostgreSQL optimizer statistics allow a user to read sampled data within a view that the user cannot access. Separately, statistics allow a user to read sampled data that a row security policy intended to hide. PostgreSQL maintains statistics for tables by sampling data available in columns; this data is consulted during the query planning process. Prior to this release, a user could craft a leaky operator that bypassed view access control lists (ACLs) and bypassed row security policies in partitioning or table inheritance hierarchies. Reachable statistics data notably included histograms and most-common-values lists. CVE-2017-7484 and CVE-2019-10130 intended to close this class of vulnerability, but this gap remained. Versions before PostgreSQL 17.6, 16.10, 15.14, 14.19, and 13.22 are affected. (CVE-2025-8713)
Note that Nessus has not tested for these issues but has instead relied only on the application's self-reported version number.
Solution
Upgrade to PostgreSQL 13.22 / 14.19 / 15.14 / 16.10 / 17.6 or later