GHSA-VQMQ-G46J-863W

Vulnerability from github – Published: 2024-10-13 21:30 – Updated: 2024-10-13 21:30
VLAI
Details

netease-youdao/qanything version 1.4.1 contains a vulnerability where unsafe data obtained from user input is concatenated in SQL queries, leading to SQL injection. The affected functions include get_knowledge_base_name, from_status_to_status, delete_files, and get_file_by_status. An attacker can exploit this vulnerability to execute arbitrary SQL queries, potentially stealing information from the database. The issue is fixed in version 1.4.2.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2024-7099"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-89"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-10-13T21:15:10Z",
    "severity": "CRITICAL"
  },
  "details": "netease-youdao/qanything version 1.4.1 contains a vulnerability where unsafe data obtained from user input is concatenated in SQL queries, leading to SQL injection. The affected functions include `get_knowledge_base_name`, `from_status_to_status`, `delete_files`, and `get_file_by_status`. An attacker can exploit this vulnerability to execute arbitrary SQL queries, potentially stealing information from the database. The issue is fixed in version 1.4.2.",
  "id": "GHSA-vqmq-g46j-863w",
  "modified": "2024-10-13T21:30:45Z",
  "published": "2024-10-13T21:30:45Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-7099"
    },
    {
      "type": "WEB",
      "url": "https://github.com/netease-youdao/qanything/commit/a87354f09d93e95350fb45eb343dc75454387554"
    },
    {
      "type": "WEB",
      "url": "https://huntr.com/bounties/bc98983e-06cc-4a4b-be01-67e5010cb2c1"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/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.

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Nomenclature

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