GHSA-V7Q3-5RQM-X7M9

Vulnerability from github – Published: 2024-05-30 20:53 – Updated: 2024-06-28 16:18
Withdrawn 2024-06-03 VLAI
Summary
Duplicate Advisory: Apache Superset uncontrolled resource consumption
Details

Duplicate Advisory

This advisory has been withdrawn because it is a duplicate of CVE-2023-46104. This link is maintained to preserve external references.

Original Description

With correct CVE version ranges for affected Apache Superset.

Uncontrolled resource consumption can be triggered by authenticated attacker that uploads a malicious ZIP to import database, dashboards or datasets.   This vulnerability exists in Apache Superset versions up to and including 2.1.2 and versions 3.0.0, 3.0.1.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "apache-superset"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.1.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "apache-superset"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "3.0.0"
            },
            {
              "fixed": "3.0.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2024-23952"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-400"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2024-06-03T16:17:47Z",
    "nvd_published_at": "2024-02-14T12:15:47Z",
    "severity": "MODERATE"
  },
  "details": "## Duplicate Advisory\nThis advisory has been withdrawn because it is a duplicate of CVE-2023-46104. This link is maintained to preserve external references.\n\n## Original Description\nWith correct CVE version ranges for affected Apache Superset.\n \nUncontrolled resource consumption can be triggered by authenticated attacker that uploads a malicious ZIP to import database, dashboards or datasets. \u00a0\nThis vulnerability exists in Apache Superset versions up to and including 2.1.2 and versions 3.0.0, 3.0.1.\n\n",
  "id": "GHSA-v7q3-5rqm-x7m9",
  "modified": "2024-06-28T16:18:04Z",
  "published": "2024-05-30T20:53:33Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-23952"
    },
    {
      "type": "WEB",
      "url": "https://lists.apache.org/thread/zc58zvm4414molqn2m4d4vkrbrsxdksx"
    },
    {
      "type": "WEB",
      "url": "http://www.openwall.com/lists/oss-security/2024/02/14/2"
    },
    {
      "type": "WEB",
      "url": "http://www.openwall.com/lists/oss-security/2024/02/14/3"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Duplicate Advisory: Apache Superset uncontrolled resource consumption",
  "withdrawn": "2024-06-03T16:17:47Z"
}



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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

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.

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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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