GCVE Workshop - 22 September 2026 (14:00-18:00), Luxembourg Before The Vulnopticon Conference - Registration
Vulnerability from bitnami_vulndb
Published
2025-04-14 11:37
Modified
2026-09-10 15:46
Summary
Apache Superset: Improper SQL authorisation, parse not checking for specific postgres functions
Details

Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Apache Superset. Specifically, certain engine-specific functions are not checked, which allows attackers to bypass Apache Superset's SQL authorization. This issue is a follow-up to CVE-2024-39887 with additional disallowed PostgreSQL functions now included: query_to_xml_and_xmlschema, table_to_xml, table_to_xml_and_xmlschema.

This issue affects Apache Superset: <4.1.0.

Users are recommended to upgrade to version 4.1.0, which fixes the issue or add these Postgres functions to the config set DISALLOWED_SQL_FUNCTIONS.


{
  "affected": [
    {
      "package": {
        "ecosystem": "Bitnami",
        "name": "superset",
        "purl": "pkg:bitnami/superset"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "4.1.1"
            }
          ],
          "type": "SEMVER"
        }
      ],
      "severity": [
        {
          "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
          "type": "CVSS_V3"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2024-53947"
  ],
  "database_specific": {
    "cpes": [
      "cpe:2.3:a:apache:superset:*:*:*:*:*:python:*:*"
    ],
    "severity": "Critical"
  },
  "details": "Improper Neutralization of Special Elements used in an SQL Command (\u0027SQL Injection\u0027) vulnerability in Apache Superset. Specifically, certain engine-specific functions are not checked, which allows attackers to bypass Apache Superset\u0027s SQL authorization. This issue is a follow-up to\u00a0CVE-2024-39887 with additional disallowed PostgreSQL functions now included:\u00a0query_to_xml_and_xmlschema,\u00a0table_to_xml,\u00a0table_to_xml_and_xmlschema.\n\nThis issue affects Apache Superset: \u003c4.1.0.\n\nUsers are recommended to upgrade to version 4.1.0, which fixes the issue or add these Postgres functions to the config set\u00a0DISALLOWED_SQL_FUNCTIONS.",
  "id": "BIT-superset-2024-53947",
  "modified": "2026-09-10T15:46:03.895Z",
  "published": "2025-04-14T11:37:01.543Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://lists.apache.org/thread/hj3gfsjh67vqw12nlrshlsym4bkopjmn"
    },
    {
      "type": "WEB",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-53947"
    }
  ],
  "schema_version": "1.6.2",
  "summary": "Apache Superset: Improper SQL authorisation, parse not checking for specific postgres functions"
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

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

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.

Loading…

Detection rules are retrieved from Rulezet.

Loading…

Loading…

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.


Loading…