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GHSA-HVJ5-MVW9-93J3

Vulnerability from github – Published: 2024-04-16 00:30 – Updated: 2024-04-16 18:24
VLAI
Summary
Insecure deserialization in BentoML
Details

An insecure deserialization vulnerability exists in the BentoML framework, allowing remote code execution (RCE) by sending a specially crafted POST request. By exploiting this vulnerability, attackers can execute arbitrary commands on the server hosting the BentoML application. The vulnerability is triggered when a serialized object, crafted to execute OS commands upon deserialization, is sent to any valid BentoML endpoint. This issue poses a significant security risk, enabling attackers to compromise the server and potentially gain unauthorized access or control.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "bentoml"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "1.2.5"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2024-2912"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-1188"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2024-04-16T18:24:33Z",
    "nvd_published_at": "2024-04-16T00:15:11Z",
    "severity": "CRITICAL"
  },
  "details": "An insecure deserialization vulnerability exists in the BentoML framework, allowing remote code execution (RCE) by sending a specially crafted POST request. By exploiting this vulnerability, attackers can execute arbitrary commands on the server hosting the BentoML application. The vulnerability is triggered when a serialized object, crafted to execute OS commands upon deserialization, is sent to any valid BentoML endpoint. This issue poses a significant security risk, enabling attackers to compromise the server and potentially gain unauthorized access or control.",
  "id": "GHSA-hvj5-mvw9-93j3",
  "modified": "2024-04-16T18:24:33Z",
  "published": "2024-04-16T00:30:33Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-2912"
    },
    {
      "type": "WEB",
      "url": "https://github.com/bentoml/bentoml/commit/fd70379733c57c6368cc022ac1f841b7b426db7b"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/bentoml/BentoML"
    },
    {
      "type": "WEB",
      "url": "https://huntr.com/bounties/349a1cce-6bb5-4345-82a5-bf7041b65a68"
    }
  ],
  "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"
    }
  ],
  "summary": "Insecure deserialization in BentoML"
}



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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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