GHSA-M7QG-V9RW-76M9

Vulnerability from github – Published: 2024-05-16 09:33 – Updated: 2024-05-16 09:33
VLAI
Details

A path traversal vulnerability in the '/apply_settings' endpoint of parisneo/lollms-webui allows attackers to execute arbitrary code. The vulnerability arises due to insufficient sanitization of user-supplied input in the configuration settings, specifically within the 'extensions' parameter. Attackers can exploit this by crafting a payload that includes relative path traversal sequences ('../../../'), enabling them to navigate to arbitrary directories. This flaw subsequently allows the server to load and execute a malicious 'init.py' file, leading to remote code execution. The issue affects the latest version of parisneo/lollms-webui.

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{
  "affected": [],
  "aliases": [
    "CVE-2024-2358"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-29"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-05-16T09:15:09Z",
    "severity": "CRITICAL"
  },
  "details": "A path traversal vulnerability in the \u0027/apply_settings\u0027 endpoint of parisneo/lollms-webui allows attackers to execute arbitrary code. The vulnerability arises due to insufficient sanitization of user-supplied input in the configuration settings, specifically within the \u0027extensions\u0027 parameter. Attackers can exploit this by crafting a payload that includes relative path traversal sequences (\u0027../../../\u0027), enabling them to navigate to arbitrary directories. This flaw subsequently allows the server to load and execute a malicious \u0027__init__.py\u0027 file, leading to remote code execution. The issue affects the latest version of parisneo/lollms-webui.",
  "id": "GHSA-m7qg-v9rw-76m9",
  "modified": "2024-05-16T09:33:07Z",
  "published": "2024-05-16T09:33:07Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-2358"
    },
    {
      "type": "WEB",
      "url": "https://huntr.com/bounties/b2771df3-be50-45bd-93c4-0974ce38bc22"
    }
  ],
  "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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