github - ghsa-cqj3-wjpm-fjvp

GHSA-CQJ3-WJPM-FJVP

Vulnerability from github – Published: 2025-08-14 15:30 – Updated: 2025-08-14 15:30

Details

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.

Severity ?

3.1 (Low)


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

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JSON

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{
  "affected": [],
  "aliases": [
    "CVE-2025-8713"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-1230"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-08-14T13:15:37Z",
    "severity": "LOW"
  },
  "details": "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.",
  "id": "GHSA-cqj3-wjpm-fjvp",
  "modified": "2025-08-14T15:30:43Z",
  "published": "2025-08-14T15:30:43Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-8713"
    },
    {
      "type": "WEB",
      "url": "https://www.postgresql.org/support/security/CVE-2025-8713"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:L/I:N/A:N",
      "type": "CVSS_V3"
    }
  ]
}

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

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

Summary

Severity ?

3.1 (Low)


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

CWE

CWE-1230 - Exposure of Sensitive Information Through Metadata

Assigner

PostgreSQL

References

URL

Tags

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

Impacted products

	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

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{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2025-8713",
                "options": [
                  {
                    "Exploitation": "none"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2025-08-14T19:50:52.127054Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2025-08-14T19:51:04.708Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "defaultStatus": "unaffected",
          "product": "PostgreSQL",
          "vendor": "n/a",
          "versions": [
            {
              "lessThan": "17.6",
              "status": "affected",
              "version": "17",
              "versionType": "rpm"
            },
            {
              "lessThan": "16.10",
              "status": "affected",
              "version": "16",
              "versionType": "rpm"
            },
            {
              "lessThan": "15.14",
              "status": "affected",
              "version": "15",
              "versionType": "rpm"
            },
            {
              "lessThan": "14.19",
              "status": "affected",
              "version": "14",
              "versionType": "rpm"
            },
            {
              "lessThan": "13.22",
              "status": "affected",
              "version": "0",
              "versionType": "rpm"
            }
          ]
        }
      ],
      "credits": [
        {
          "lang": "en",
          "value": "The PostgreSQL project thanks Dean Rasheed for reporting this problem."
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "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."
        }
      ],
      "metrics": [
        {
          "cvssV3_1": {
            "baseScore": 3.1,
            "baseSeverity": "LOW",
            "vectorString": "CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:L/I:N/A:N",
            "version": "3.1"
          },
          "format": "CVSS"
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-1230",
              "description": "Exposure of Sensitive Information Through Metadata",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2025-08-14T13:00:05.807Z",
        "orgId": "f86ef6dc-4d3a-42ad-8f28-e6d5547a5007",
        "shortName": "PostgreSQL"
      },
      "references": [
        {
          "url": "https://www.postgresql.org/support/security/CVE-2025-8713/"
        }
      ],
      "title": "PostgreSQL optimizer statistics can expose sampled data within a view, partition, or child table"
    }
  },
  "cveMetadata": {
    "assignerOrgId": "f86ef6dc-4d3a-42ad-8f28-e6d5547a5007",
    "assignerShortName": "PostgreSQL",
    "cveId": "CVE-2025-8713",
    "datePublished": "2025-08-14T13:00:05.807Z",
    "dateReserved": "2025-08-07T16:39:46.270Z",
    "dateUpdated": "2025-08-14T19:51:04.708Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

Sightings

Author	Source	Type	Date

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.

Action not permitted

GHSA-CQJ3-WJPM-FJVP

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

Tags

Sightings

Nomenclature