GHSA-JHVF-7C85-3C9G

Vulnerability from github – Published: 2024-04-01 21:30 – Updated: 2024-04-16 15:49
VLAI
Summary
LocalAI cross-site request forgery vulnerability
Details

A Cross-Site Request Forgery (CSRF) vulnerability exists in the mudler/localai application, allowing attackers to craft malicious webpages that, when visited by a victim, perform unauthorized actions on the victim's local LocalAI instance without their consent. This vulnerability enables attackers to exhaust system resources, consume credits, and fill disk space by making numerous resource-intensive API calls, such as generating images or uploading files. The vulnerability stems from the application's acceptance of simple request content-types without requiring CSRF tokens or implementing other CSRF mitigation measures. Successful exploitation does not require network access to the vulnerable LocalAI environment.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "Go",
        "name": "github.com/go-skynet/LocalAI"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "last_affected": "2.7.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2024-3135"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-352"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2024-04-02T14:01:01Z",
    "nvd_published_at": "2024-04-01T19:15:46Z",
    "severity": "MODERATE"
  },
  "details": "A Cross-Site Request Forgery (CSRF) vulnerability exists in the mudler/localai application, allowing attackers to craft malicious webpages that, when visited by a victim, perform unauthorized actions on the victim\u0027s local LocalAI instance without their consent. This vulnerability enables attackers to exhaust system resources, consume credits, and fill disk space by making numerous resource-intensive API calls, such as generating images or uploading files. The vulnerability stems from the application\u0027s acceptance of simple request content-types without requiring CSRF tokens or implementing other CSRF mitigation measures. Successful exploitation does not require network access to the vulnerable LocalAI environment.",
  "id": "GHSA-jhvf-7c85-3c9g",
  "modified": "2024-04-16T15:49:36Z",
  "published": "2024-04-01T21:30:46Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-3135"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/mudler/LocalAI"
    },
    {
      "type": "WEB",
      "url": "https://huntr.com/bounties/7afdc4d3-4b68-45ea-96d0-cf9ed3712ae8"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "LocalAI cross-site request forgery vulnerability"
}



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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

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Nomenclature

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