GHSA-6M5Q-CC57-2MJ6

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

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.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2025-8714"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-829"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-08-14T13:15:37Z",
    "severity": "HIGH"
  },
  "details": "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.",
  "id": "GHSA-6m5q-cc57-2mj6",
  "modified": "2025-08-14T15:30:43Z",
  "published": "2025-08-14T15:30:43Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-8714"
    },
    {
      "type": "WEB",
      "url": "https://www.postgresql.org/support/security/CVE-2025-8714"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}



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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

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Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
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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.


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