GCVE Workshop - 22 September 2026 (14:00-18:00), Luxembourg Before The Vulnopticon Conference - Registration
Vulnerability from bitnami_vulndb
Published
2025-02-05 07:25
Modified
2026-09-08 08:34
Summary
Apache Superset: Server arbitrary file read
Details

Improper Input Validation vulnerability in Apache Superset, allows for an authenticated attacker to create a MariaDB connection with local_infile enabled. If both the MariaDB server (off by default) and the local mysql client on the web server are set to allow for local infile, it's possible for the attacker to execute a specific MySQL/MariaDB SQL command that is able to read files from the server and insert their content on a MariaDB database table.This issue affects Apache Superset: before 3.1.3 and version 4.0.0

Users are recommended to upgrade to version 4.0.1 or 3.1.3, which fixes the issue.


{
  "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:H/PR:L/UI:N/S:U/C:H/I:N/A:N",
          "type": "CVSS_V3"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2024-34693"
  ],
  "database_specific": {
    "cpes": [
      "cpe:2.3:a:apache:superset:*:*:*:*:*:python:*:*"
    ],
    "severity": "Medium"
  },
  "details": "Improper Input Validation vulnerability in Apache Superset, allows for an authenticated attacker to create a MariaDB connection with local_infile enabled. If both the MariaDB server (off by default) and the local mysql client on the web server are set to allow for local infile, it\u0027s possible for the attacker to execute a specific MySQL/MariaDB SQL command that is able to read files from the server and insert their content on a MariaDB database table.This issue affects Apache Superset: before 3.1.3 and version 4.0.0\n\nUsers are recommended to upgrade to version 4.0.1 or 3.1.3, which fixes the issue.",
  "id": "BIT-superset-2024-34693",
  "modified": "2026-09-08T08:34:36.952Z",
  "published": "2025-02-05T07:25:30.309Z",
  "references": [
    {
      "type": "DISCUSSION",
      "url": "http://www.openwall.com/lists/oss-security/2024/06/20/1"
    },
    {
      "type": "DISCUSSION",
      "url": "https://lists.apache.org/thread/1803x1s34m7r71h1k0q1njol8k6fmyon"
    },
    {
      "type": "WEB",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-34693"
    }
  ],
  "schema_version": "1.5.0",
  "summary": "Apache Superset: Server arbitrary file read"
}



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…