PYSEC-2026-296

Vulnerability from pysec - Published: 2026-06-29 11:50 - Updated: 2026-07-01 20:22
VLAI
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.

Impacted products
Name purl
bentoml pkg:pypi/bentoml

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "bentoml",
        "purl": "pkg:pypi/bentoml"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "1.2.5"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "0.0.1",
        "0.0.2",
        "0.0.3",
        "0.0.5",
        "0.0.6a0",
        "0.0.7",
        "0.0.7.dev0",
        "0.0.8",
        "0.0.8.post1",
        "0.0.9",
        "0.1.1",
        "0.1.2",
        "0.10.0",
        "0.10.1",
        "0.11.0",
        "0.11.dev0",
        "0.12.0",
        "0.12.1",
        "0.13.0",
        "0.13.1",
        "0.13.2",
        "0.2.0",
        "0.2.1",
        "0.2.2",
        "0.3.0",
        "0.3.1",
        "0.3.3",
        "0.3.4",
        "0.4.0",
        "0.4.1",
        "0.4.2",
        "0.4.3",
        "0.4.4",
        "0.4.5",
        "0.4.7",
        "0.4.8",
        "0.4.9",
        "0.5.0",
        "0.5.1",
        "0.5.2",
        "0.5.3",
        "0.5.4",
        "0.5.5",
        "0.5.6",
        "0.5.7",
        "0.5.8",
        "0.6.0",
        "0.6.1",
        "0.6.2",
        "0.6.3",
        "0.7.0",
        "0.7.1",
        "0.7.2",
        "0.7.3",
        "0.7.4",
        "0.7.5",
        "0.7.6",
        "0.7.7",
        "0.7.8",
        "0.8.0",
        "0.8.1",
        "0.8.2",
        "0.8.3",
        "0.8.4",
        "0.8.5",
        "0.8.6",
        "0.9.0",
        "0.9.0rc0",
        "0.9.1",
        "0.9.2",
        "1.0.0",
        "1.0.0.dev0",
        "1.0.0.dev1",
        "1.0.0a1",
        "1.0.0a2",
        "1.0.0a3",
        "1.0.0a4",
        "1.0.0a5",
        "1.0.0a6",
        "1.0.0a7",
        "1.0.0rc0",
        "1.0.0rc1",
        "1.0.0rc2",
        "1.0.0rc3",
        "1.0.10",
        "1.0.11",
        "1.0.12",
        "1.0.13",
        "1.0.14",
        "1.0.15",
        "1.0.16",
        "1.0.17",
        "1.0.18",
        "1.0.19",
        "1.0.2",
        "1.0.20",
        "1.0.21",
        "1.0.22",
        "1.0.23",
        "1.0.24",
        "1.0.25",
        "1.0.3",
        "1.0.4",
        "1.0.5",
        "1.0.6",
        "1.0.7",
        "1.0.8",
        "1.0.9",
        "1.1.0",
        "1.1.1",
        "1.1.10",
        "1.1.11",
        "1.1.2",
        "1.1.3",
        "1.1.4",
        "1.1.5",
        "1.1.6",
        "1.1.7",
        "1.1.8",
        "1.1.9",
        "1.2.0",
        "1.2.0a0",
        "1.2.0a1",
        "1.2.0a2",
        "1.2.0a3",
        "1.2.0a4",
        "1.2.0a5",
        "1.2.0a6",
        "1.2.0a7",
        "1.2.0rc1",
        "1.2.1",
        "1.2.1a1",
        "1.2.2",
        "1.2.3",
        "1.2.4"
      ]
    }
  ],
  "aliases": [
    "CVE-2024-2912",
    "GHSA-hvj5-mvw9-93j3"
  ],
  "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": "PYSEC-2026-296",
  "modified": "2026-07-01T20:22:49.847939Z",
  "published": "2026-06-29T11:50:39.465878Z",
  "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"
    },
    {
      "type": "PACKAGE",
      "url": "https://pypi.org/project/bentoml"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/advisories/GHSA-hvj5-mvw9-93j3"
    }
  ],
  "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.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
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