CVE-2025-8713

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.

PostgreSQL is an advanced Object-Relational database management system (DBMS). The base postgresql package contains the client programs that you'll need to access a PostgreSQL DBMS server, as well as HTML documentation for the whole system. These client programs can be located on the same machine as the PostgreSQL server, or on a remote machine that accesses a PostgreSQL server over a network connection. The PostgreSQL server can be found in the postgresql-server sub-package.

Security Fix(es):

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)

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)

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)

PostgreSQL is a powerful, open source object-relational database system that uses and extends the SQL language combined with many features that safely store and scale the most complicated data workloads. This package provides the essential shared library for any PostgreSQL client program or interface.

Security Fix(es):

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)

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)

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)

PostgreSQL is a powerful, open source object-relational database system that uses and extends the SQL language combined with many features that safely store and scale the most complicated data workloads. This package provides the essential shared library for any PostgreSQL client program or interface.

Security Fix(es):

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)

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)

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)

PostgreSQL is a powerful, open source object-relational database system that uses and extends the SQL language combined with many features that safely store and scale the most complicated data workloads. This package provides the essential shared library for any PostgreSQL client program or interface.

Security Fix(es):

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)

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)

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)

PostgreSQL is a powerful, open source object-relational database system that uses and extends the SQL language combined with many features that safely store and scale the most complicated data workloads. This package provides the essential shared library for any PostgreSQL client program or interface.

Security Fix(es):

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)

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)

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)

PostgreSQL is an advanced Object-Relational database management system (DBMS). The base postgresql package contains the client programs that you'll need to access a PostgreSQL DBMS server, as well as HTML documentation for the whole system. These client programs can be located on the same machine as the PostgreSQL server, or on a remote machine that accesses a PostgreSQL server over a network connection. The PostgreSQL server can be found in the postgresql-server sub-package.

Security Fix(es):

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)

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)

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)

PostgreSQL is an advanced Object-Relational database management system (DBMS). The base postgresql package contains the client programs that you'll need to access a PostgreSQL DBMS server, as well as HTML documentation for the whole system. These client programs can be located on the same machine as the PostgreSQL server, or on a remote machine that accesses a PostgreSQL server over a network connection. The PostgreSQL server can be found in the postgresql-server sub-package.

Security Fix(es):

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)

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)

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)

PostgreSQL is an advanced Object-Relational database management system (DBMS). The base postgresql package contains the client programs that you'll need to access a PostgreSQL DBMS server, as well as HTML documentation for the whole system. These client programs can be located on the same machine as the PostgreSQL server, or on a remote machine that accesses a PostgreSQL server over a network connection. The PostgreSQL server can be found in the postgresql-server sub-package.

Security Fix(es):

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)

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)

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)

PostgreSQL is an advanced Object-Relational database management system (DBMS). The base postgresql package contains the client programs that you'll need to access a PostgreSQL DBMS server, as well as HTML documentation for the whole system. These client programs can be located on the same machine as the PostgreSQL server, or on a remote machine that accesses a PostgreSQL server over a network connection. The PostgreSQL server can be found in the postgresql-server sub-package.

Security Fix(es):

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)

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)

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)

PostgreSQL is an advanced Object-Relational database management system (DBMS). The base postgresql package contains the client programs that you'll need to access a PostgreSQL DBMS server, as well as HTML documentation for the whole system. These client programs can be located on the same machine as the PostgreSQL server, or on a remote machine that accesses a PostgreSQL server over a network connection. The PostgreSQL server can be found in the postgresql-server sub-package.

Security Fix(es):

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)

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)

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)

PostgreSQL is a powerful, open source object-relational database system that uses and extends the SQL language combined with many features that safely store and scale the most complicated data workloads. This package provides the essential shared library for any PostgreSQL client program or interface.

Security Fix(es):

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)

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)

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)

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.

PostgreSQL is an advanced object-relational database management system (DBMS).

Security Fix(es):

• postgresql: PostgreSQL executes arbitrary code in restore operation (CVE-2025-8715)
• postgresql: PostgreSQL code execution in restore operation (CVE-2025-8714)

For more details about the security issue(s), including the impact, a CVSS score, acknowledgments, and other related information, refer to the CVE page(s) listed in the References section.

PostgreSQL is an advanced object-relational database management system (DBMS).

Security Fix(es):

• postgresql: PostgreSQL executes arbitrary code in restore operation (CVE-2025-8715)
• postgresql: PostgreSQL code execution in restore operation (CVE-2025-8714)

For more details about the security issue(s), including the impact, a CVSS score, acknowledgments, and other related information, refer to the CVE page(s) listed in the References section.

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.

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.

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.

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.

PostgreSQL optimizer statistics can expose sampled data within a view, partition, or child table. (CVE-2025-8713) PostgreSQL pg_dump lets superuser of origin server execute arbitrary code in psql client. (CVE-2025-8714) PostgreSQL pg_dump newline in object name executes arbitrary code in psql client and in restore target server. (CVE-2025-8715)

These are all security issues fixed in the postgresql13-13.22-1.1 package on the GA media of openSUSE Tumbleweed.

These are all security issues fixed in the postgresql14-14.19-1.1 package on the GA media of openSUSE Tumbleweed.

These are all security issues fixed in the postgresql15-15.14-1.1 package on the GA media of openSUSE Tumbleweed.

These are all security issues fixed in the postgresql16-16.10-1.1 package on the GA media of openSUSE Tumbleweed.

These are all security issues fixed in the libecpg6-17.6-1.1 package on the GA media of openSUSE Tumbleweed.

This update for postgresql13 fixes the following issues:

Upgrade to 13.22:

• CVE-2025-8713: optimizer statistics can expose sampled data within a view, partition, or child table (bsc#1248120).
• CVE-2025-8714: untrusted data inclusion in pg_dump lets superuser of origin server execute arbitrary code in psql client (bsc#1248122).
• CVE-2025-8715: improper neutralization of newlines in pg_dump allows execution of arbitrary code in psql client and in restore target server (bsc#1248119).

This update for postgresql16 fixes the following issues:

Upgraded to 16.10:

• CVE-2025-8713: Fixed optimizer statistics exposing sampled data within a view, partition, or child table (bsc#1248120)
• CVE-2025-8714: Fixed untrusted data inclusion in pg_dump allows superuser of origin server to execute arbitrary code in psql client (bsc#1248122)
• CVE-2025-8715: Fixed improper neutralization of newlines in pg_dump leading to arbitrary code execution in the psql client and in the restore target server (bsc#1248119)

This update for postgresql16 fixes the following issues:

Upgraded to 16.10:

• CVE-2025-8713: Fixed optimizer statistics exposing sampled data within a view, partition, or child table (bsc#1248120)
• CVE-2025-8714: Fixed untrusted data inclusion in pg_dump allows superuser of origin server to execute arbitrary code in psql client (bsc#1248122)
• CVE-2025-8715: Fixed improper neutralization of newlines in pg_dump leading to arbitrary code execution in the psql client and in the restore target server (bsc#1248119)

This update for postgresql17 fixes the following issues:

Updated to 17.6:

• CVE-2025-8713: Fixed optimizer statistics exposing sampled data within a view, partition, or child table (bsc#1248120)
• CVE-2025-8714: Fixed untrusted data inclusion in pg_dump allows superuser of origin server to execute arbitrary code in psql client (bsc#1248122)
• CVE-2025-8715: Fixed improper neutralization of newlines in pg_dump leading to arbitrary code execution in the psql client and in the restore target server (bsc#1248119)

This update for postgresql17 fixes the following issues:

Updated to 17.6:

• CVE-2025-8713: Fixed optimizer statistics exposing sampled data within a view, partition, or child table (bsc#1248120)
• CVE-2025-8714: Fixed untrusted data inclusion in pg_dump allows superuser of origin server to execute arbitrary code in psql client (bsc#1248122)
• CVE-2025-8715: Fixed improper neutralization of newlines in pg_dump leading to arbitrary code execution in the psql client and in the restore target server (bsc#1248119)

This update for postgresql13 fixes the following issues:

Upgrade to 13.22:

• CVE-2025-8713: optimizer statistics can expose sampled data within a view, partition, or child table (bsc#1248120).
• CVE-2025-8714: untrusted data inclusion in pg_dump lets superuser of origin server execute arbitrary code in psql client (bsc#1248122).
• CVE-2025-8715: improper neutralization of newlines in pg_dump allows execution of arbitrary code in psql client and in restore target server (bsc#1248119).

This update for postgresql17 fixes the following issues:

Updated to 17.6:

• CVE-2025-8713: Fixed optimizer statistics exposing sampled data within a view, partition, or child table (bsc#1248120)
• CVE-2025-8714: Fixed untrusted data inclusion in pg_dump allows superuser of origin server to execute arbitrary code in psql client (bsc#1248122)
• CVE-2025-8715: Fixed improper neutralization of newlines in pg_dump leading to arbitrary code execution in the psql client and in the restore target server (bsc#1248119)

This update for postgresql13 fixes the following issues:

Upgrade to 13.22:

• CVE-2025-8713: optimizer statistics can expose sampled data within a view, partition, or child table (bsc#1248120).
• CVE-2025-8714: untrusted data inclusion in pg_dump lets superuser of origin server execute arbitrary code in psql client (bsc#1248122).
• CVE-2025-8715: improper neutralization of newlines in pg_dump allows execution of arbitrary code in psql client and in restore target server (bsc#1248119).

This update for postgresql15 fixes the following issues:

Upgrade to 15.14:

• CVE-2025-8713: optimizer statistics can expose sampled data within a view, partition, or child table (bsc#1248120).
• CVE-2025-8714: untrusted data inclusion in pg_dump lets superuser of origin server execute arbitrary code in psql client (bsc#1248122).
• CVE-2025-8715: improper neutralization of newlines in pg_dump allows execution of arbitrary code in psql client and in restore target server (bsc#1248119).