Описание
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.
| Релиз | Статус | Примечание |
|---|---|---|
| devel | DNE | |
| esm-infra/bionic | needs-triage | |
| jammy | DNE | |
| noble | DNE | |
| plucky | DNE | |
| upstream | needs-triage |
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| Релиз | Статус | Примечание |
|---|---|---|
| devel | DNE | |
| esm-infra/focal | needs-triage | |
| jammy | DNE | |
| noble | DNE | |
| plucky | DNE | |
| upstream | needs-triage |
Показывать по
| Релиз | Статус | Примечание |
|---|---|---|
| devel | DNE | |
| jammy | needs-triage | |
| noble | DNE | |
| plucky | DNE | |
| upstream | needs-triage |
Показывать по
| Релиз | Статус | Примечание |
|---|---|---|
| devel | DNE | |
| jammy | DNE | |
| noble | needs-triage | |
| plucky | DNE | |
| upstream | needs-triage |
Показывать по
| Релиз | Статус | Примечание |
|---|---|---|
| devel | needs-triage | |
| jammy | DNE | |
| noble | DNE | |
| plucky | needs-triage | |
| upstream | needs-triage |
Показывать по
| Релиз | Статус | Примечание |
|---|---|---|
| devel | DNE | |
| esm-infra-legacy/trusty | deferred | 2019-08-23 |
| jammy | DNE | |
| noble | DNE | |
| plucky | DNE | |
| upstream | needs-triage |
Показывать по
| Релиз | Статус | Примечание |
|---|---|---|
| devel | DNE | |
| esm-infra/xenial | needs-triage | |
| jammy | DNE | |
| noble | DNE | |
| plucky | DNE | |
| upstream | needs-triage |
Показывать по
EPSS
3.1 Low
CVSS3
Связанные уязвимости
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 with ...
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.
Уязвимость компонента core server системы управления базами данных PostgreSQL, позволяющая нарушителю обойти ограничения безопасности ACL и получить несанкционированный доступ к защищаемой информации
EPSS
3.1 Low
CVSS3