GHSA-VQWR-Q6CC-C242

Vulnerability from github – Published: 2024-06-12 03:31 – Updated: 2024-06-12 17:12
VLAI
Summary
parisneo/lollms Local File Inclusion (LFI) attack
Details

parisneo/lollms version 9.5 is vulnerable to Local File Inclusion (LFI) attacks due to insufficient path sanitization. The sanitize_path_from_endpoint function fails to properly sanitize Windows-style paths (backward slash \), allowing attackers to perform directory traversal attacks on Windows systems. This vulnerability can be exploited through various routes, including personalities and /del_preset, to read or delete any file on the Windows filesystem, compromising the system's availability.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "lollms"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "9.5.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2024-4315"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-22"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2024-06-12T17:12:45Z",
    "nvd_published_at": "2024-06-12T01:15:49Z",
    "severity": "CRITICAL"
  },
  "details": "parisneo/lollms version 9.5 is vulnerable to Local File Inclusion (LFI) attacks due to insufficient path sanitization. The `sanitize_path_from_endpoint` function fails to properly sanitize Windows-style paths (backward slash `\\`), allowing attackers to perform directory traversal attacks on Windows systems. This vulnerability can be exploited through various routes, including `personalities` and `/del_preset`, to read or delete any file on the Windows filesystem, compromising the system\u0027s availability.",
  "id": "GHSA-vqwr-q6cc-c242",
  "modified": "2024-06-12T17:12:45Z",
  "published": "2024-06-12T03:31:15Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-4315"
    },
    {
      "type": "WEB",
      "url": "https://github.com/parisneo/lollms/commit/95ad36eeffc6a6be3e3f35ed35a384d768f0ecf6"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/ParisNeo/lollms"
    },
    {
      "type": "WEB",
      "url": "https://huntr.com/bounties/8a1b0197-2c36-4276-b92b-630a2a9bb09c"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "parisneo/lollms Local File Inclusion (LFI) attack"
}



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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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