Vulnerability-Lookup

OESA-2025-2141 (CVE-2025-8713)

Vulnerability from osv_openeuler – Published: 2025-09-05 11:09 – Updated: 2026-08-06 11:09 – Source website

Summary

postgresql security update

Details

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)

Severity

8.8 (High)


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

References

URL

Type

	https://www.openeuler.org/zh/security/security-bu…	ADVISORY
	https://nvd.nist.gov/vuln/detail/CVE-2025-8713	ADVISORY
	https://nvd.nist.gov/vuln/detail/CVE-2025-8714	ADVISORY
	https://nvd.nist.gov/vuln/detail/CVE-2025-8715	ADVISORY

JSON

To clipboard

{
  "affected": [
    {
      "ecosystem_specific": {
        "aarch64": [
          "postgresql-13.22-1.oe2203sp3.aarch64.rpm",
          "postgresql-contrib-13.22-1.oe2203sp3.aarch64.rpm",
          "postgresql-debuginfo-13.22-1.oe2203sp3.aarch64.rpm",
          "postgresql-debugsource-13.22-1.oe2203sp3.aarch64.rpm",
          "postgresql-docs-13.22-1.oe2203sp3.aarch64.rpm",
          "postgresql-llvmjit-13.22-1.oe2203sp3.aarch64.rpm",
          "postgresql-plperl-13.22-1.oe2203sp3.aarch64.rpm",
          "postgresql-plpython3-13.22-1.oe2203sp3.aarch64.rpm",
          "postgresql-pltcl-13.22-1.oe2203sp3.aarch64.rpm",
          "postgresql-private-devel-13.22-1.oe2203sp3.aarch64.rpm",
          "postgresql-private-libs-13.22-1.oe2203sp3.aarch64.rpm",
          "postgresql-server-13.22-1.oe2203sp3.aarch64.rpm",
          "postgresql-server-devel-13.22-1.oe2203sp3.aarch64.rpm",
          "postgresql-static-13.22-1.oe2203sp3.aarch64.rpm",
          "postgresql-test-13.22-1.oe2203sp3.aarch64.rpm"
        ],
        "noarch": [
          "postgresql-test-rpm-macros-13.22-1.oe2203sp3.noarch.rpm"
        ],
        "src": [
          "postgresql-13.22-1.oe2203sp3.src.rpm"
        ],
        "x86_64": [
          "postgresql-13.22-1.oe2203sp3.x86_64.rpm",
          "postgresql-contrib-13.22-1.oe2203sp3.x86_64.rpm",
          "postgresql-debuginfo-13.22-1.oe2203sp3.x86_64.rpm",
          "postgresql-debugsource-13.22-1.oe2203sp3.x86_64.rpm",
          "postgresql-docs-13.22-1.oe2203sp3.x86_64.rpm",
          "postgresql-llvmjit-13.22-1.oe2203sp3.x86_64.rpm",
          "postgresql-plperl-13.22-1.oe2203sp3.x86_64.rpm",
          "postgresql-plpython3-13.22-1.oe2203sp3.x86_64.rpm",
          "postgresql-pltcl-13.22-1.oe2203sp3.x86_64.rpm",
          "postgresql-private-devel-13.22-1.oe2203sp3.x86_64.rpm",
          "postgresql-private-libs-13.22-1.oe2203sp3.x86_64.rpm",
          "postgresql-server-13.22-1.oe2203sp3.x86_64.rpm",
          "postgresql-server-devel-13.22-1.oe2203sp3.x86_64.rpm",
          "postgresql-static-13.22-1.oe2203sp3.x86_64.rpm",
          "postgresql-test-13.22-1.oe2203sp3.x86_64.rpm"
        ]
      },
      "package": {
        "ecosystem": "openEuler:22.03-LTS-SP3",
        "name": "postgresql",
        "purl": "pkg:rpm/openEuler/postgresql\u0026distro=openEuler-22.03-LTS-SP3"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "13.22-1.oe2203sp3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "database_specific": {
    "severity": "High"
  },
  "details": "PostgreSQL is an advanced Object-Relational database management system (DBMS).\nThe base postgresql package contains the client programs that you\u0026amp;apos;ll need to\naccess a PostgreSQL DBMS server, as well as HTML documentation for the whole\nsystem.  These client programs can be located on the same machine as the\nPostgreSQL server, or on a remote machine that accesses a PostgreSQL server\nover a network connection.  The PostgreSQL server can be found in the\npostgresql-server sub-package.\r\n\r\nSecurity Fix(es):\n\nPostgreSQL 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)\n\nUntrusted 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)\n\nImproper 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)",
  "id": "OESA-2025-2141",
  "modified": "2026-08-06T11:09:13Z",
  "published": "2025-09-05T11:09:13Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://www.openeuler.org/zh/security/security-bulletins/detail/?id=openEuler-SA-2025-2141"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-8713"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-8714"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-8715"
    }
  ],
  "schema_version": "1.7.2",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "postgresql security update",
  "upstream": [
    "CVE-2025-8713",
    "CVE-2025-8714",
    "CVE-2025-8715"
  ]
}

CVE-2025-8713 (GCVE-0-2025-8713)

Vulnerability from cvelistv5 – Published: 2025-08-14 13:00 – Updated: 2025-08-14 19:51

Title

PostgreSQL optimizer statistics can expose sampled data within a view, partition, or child table

Summary

Severity

3.1 (Low)


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

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-08-14 19:50 UTC

CWE

CWE-1230 - Exposure of Sensitive Information Through Metadata

Assigner

PostgreSQL redhat root

References

1 reference

URL	Tags
https://www.postgresql.org/support/security/CVE-2…

Impacted products

1 product

Vendor	Product	Version
n/a	PostgreSQL	Affected: 17 , < 17.6 (rpm) Affected: 16 , < 16.10 (rpm) Affected: 15 , < 15.14 (rpm) Affected: 14 , < 14.19 (rpm) Affected: 0 , < 13.22 (rpm)

Credits

The PostgreSQL project thanks Dean Rasheed for reporting this problem.

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
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        "metrics": [
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                "id": "CVE-2025-8713",
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                  }
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    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

CVE-2025-8714 (GCVE-0-2025-8714)

Vulnerability from cvelistv5 – Published: 2025-08-14 13:00 – Updated: 2026-02-26 17:48

Title

PostgreSQL pg_dump lets superuser of origin server execute arbitrary code in psql client

Summary

Severity

8.8 (High)


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

SSVC

Exploitation: none Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-08-15 03:55 UTC

CWE

CWE-829 - Inclusion of Functionality from Untrusted Control Sphere

Assigner

PostgreSQL redhat root

References

1 reference

URL	Tags
https://www.postgresql.org/support/security/CVE-2…

Impacted products

1 product

Vendor	Product	Version
n/a	PostgreSQL	Affected: 17 , < 17.6 (rpm) Affected: 16 , < 16.10 (rpm) Affected: 15 , < 15.14 (rpm) Affected: 14 , < 14.19 (rpm) Affected: 0 , < 13.22 (rpm)

Credits

The PostgreSQL project thanks Martin Rakhmanov, Matthieu Denais, and RyotaK for reporting this problem.

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2025-8714",
                "options": [
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                    "Exploitation": "none"
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                    "Technical Impact": "total"
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          "shortName": "CISA-ADP"
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      }
    ],
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        {
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          "vendor": "n/a",
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CVE-2025-8715 (GCVE-0-2025-8715)

Vulnerability from cvelistv5 – Published: 2025-08-14 13:00 – Updated: 2026-02-26 17:48

Title

PostgreSQL pg_dump newline in object name executes arbitrary code in psql client and in restore target server

Summary

Severity

8.8 (High)


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

SSVC

Exploitation: none Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-08-15 03:55 UTC

CWE

CWE-93 - Improper Neutralization of CRLF Sequences ('CRLF Injection')

Assigner

PostgreSQL redhat root

References

1 reference

URL	Tags
https://www.postgresql.org/support/security/CVE-2…

Impacted products

1 product

Vendor	Product	Version
n/a	PostgreSQL	Affected: 17 , < 17.6 (rpm) Affected: 16 , < 16.10 (rpm) Affected: 15 , < 15.14 (rpm) Affected: 14 , < 14.19 (rpm) Affected: 11.20 , < 13.22 (rpm)

Credits

The PostgreSQL project thanks Noah Misch for reporting this problem.

Show details on NVD website

JSON

To clipboard

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                "timestamp": "2025-08-15T03:55:57.753539Z",
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        {
          "lang": "en",
          "value": "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."
        }
      ],
      "metrics": [
        {
          "cvssV3_1": {
            "baseScore": 8.8,
            "baseSeverity": "HIGH",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
            "version": "3.1"
          },
          "format": "CVSS"
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-93",
              "description": "Improper Neutralization of CRLF Sequences (\u0027CRLF Injection\u0027)",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2025-08-14T13:00:07.753Z",
        "orgId": "f86ef6dc-4d3a-42ad-8f28-e6d5547a5007",
        "shortName": "PostgreSQL"
      },
      "references": [
        {
          "url": "https://www.postgresql.org/support/security/CVE-2025-8715/"
        }
      ],
      "title": "PostgreSQL pg_dump newline in object name executes arbitrary code in psql client and in restore target server",
      "workarounds": [
        {
          "lang": "en",
          "value": "To block attacks against the psql client, use \"pg_restore --dbname\" instead of restore methods that involve \"psql\".  To block SQL injection against the restore target server, revoke the CREATE permission from non-superusers at the origin server."
        }
      ]
    }
  },
  "cveMetadata": {
    "assignerOrgId": "f86ef6dc-4d3a-42ad-8f28-e6d5547a5007",
    "assignerShortName": "PostgreSQL",
    "cveId": "CVE-2025-8715",
    "datePublished": "2025-08-14T13:00:07.753Z",
    "dateReserved": "2025-08-07T16:39:47.692Z",
    "dateUpdated": "2026-02-26T17:48:36.521Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2"
}

Sightings

Author	Source	Type	Date	Other

Nomenclature

Seen: The vulnerability was mentioned, discussed, or observed by the user.
Confirmed: The vulnerability has been validated from an analyst's perspective.
Published Proof of Concept: A public proof of concept is available for this vulnerability.
Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
Not confirmed: The user expressed doubt about the validity of the vulnerability.
Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

Detection rules are retrieved from Rulezet.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.

Action not permitted

OESA-2025-2141 (CVE-2025-8713)

CVE-2025-8713 (GCVE-0-2025-8713)

CVE-2025-8714 (GCVE-0-2025-8714)

CVE-2025-8715 (GCVE-0-2025-8715)

Tags

Sightings

Nomenclature

Related by attack behaviour