GHSA-4JG5-2M6G-5C39

Vulnerability from github – Published: 2024-06-06 21:30 – Updated: 2024-06-06 21:30
VLAI
Details

A path traversal vulnerability exists in the 'cyber_security/codeguard' native personality of the parisneo/lollms-webui, affecting versions up to 9.5. The vulnerability arises from the improper limitation of a pathname to a restricted directory in the 'process_folder' function within 'lollms-webui/zoos/personalities_zoo/cyber_security/codeguard/scripts/processor.py'. Specifically, the function fails to properly sanitize user-supplied input for the 'code_folder_path', allowing an attacker to specify arbitrary paths using '../' or absolute paths. This flaw leads to arbitrary file read and overwrite capabilities in specified directories without limitations, posing a significant risk of sensitive information disclosure and unauthorized file manipulation.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2024-3322"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-22"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-06-06T19:16:01Z",
    "severity": "HIGH"
  },
  "details": "A path traversal vulnerability exists in the \u0027cyber_security/codeguard\u0027 native personality of the parisneo/lollms-webui, affecting versions up to 9.5. The vulnerability arises from the improper limitation of a pathname to a restricted directory in the \u0027process_folder\u0027 function within \u0027lollms-webui/zoos/personalities_zoo/cyber_security/codeguard/scripts/processor.py\u0027. Specifically, the function fails to properly sanitize user-supplied input for the \u0027code_folder_path\u0027, allowing an attacker to specify arbitrary paths using \u0027../\u0027 or absolute paths. This flaw leads to arbitrary file read and overwrite capabilities in specified directories without limitations, posing a significant risk of sensitive information disclosure and unauthorized file manipulation.",
  "id": "GHSA-4jg5-2m6g-5c39",
  "modified": "2024-06-06T21:30:37Z",
  "published": "2024-06-06T21:30:37Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-3322"
    },
    {
      "type": "WEB",
      "url": "https://github.com/parisneo/lollms-webui/commit/1e17df01e01d4d33599db2afaafe91d90b6f0189"
    },
    {
      "type": "WEB",
      "url": "https://huntr.com/bounties/e0822362-033a-4a71-b1dc-d803f03bd427"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:L/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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