GHSA-GR7F-9F5R-V3MG

Vulnerability from github – Published: 2026-10-07 09:32 – Updated: 2026-10-07 12:31
VLAI
Details

An SQL user using Impala up to and including version 4.5.2 with only SELECT permission can put JavaScript in a table alias and make it run in another user's browser when that user opens the query plan in Impala's Web UI. This is stored XSS (CWE-79). Users are recommended to upgrade to version 4.5.3.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-93684"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-79"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-10-07T09:17:06Z",
    "severity": null
  },
  "details": "An SQL user using Impala up to and including version 4.5.2 with only SELECT permission can put JavaScript in a table alias and make it run in another user\u0027s browser when that user opens the query plan in Impala\u0027s Web UI. This is\u00a0stored\u00a0XSS (CWE-79). Users are recommended to upgrade to version 4.5.3.",
  "id": "GHSA-gr7f-9f5r-v3mg",
  "modified": "2026-10-07T12:31:58Z",
  "published": "2026-10-07T09:32:21Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-93684"
    },
    {
      "type": "WEB",
      "url": "https://lists.apache.org/thread.html/qxjj5n3vsttxbvq2n75xcy2qcrhtxowx"
    },
    {
      "type": "WEB",
      "url": "http://www.openwall.com/lists/oss-security/2026/10/07/21"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}



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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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  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
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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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